all: open-sourcing single-node version

This commit is contained in:
Aliaksandr Valialkin 2019-05-23 00:16:55 +03:00
parent 81bbbf2cae
commit 1836c415e6
575 changed files with 276569 additions and 37 deletions

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.git
vendor
gocache-for-docker
victoria-metrics-data
vmstorage-data
vmselect-cache

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/tags
/pkg
*.pprof
/bin
.idea
*.test
*.swp
/gocache-for-docker
/victoria-metrics-data
/vmstorage-data
/vmselect-cache

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8. Limitation of Liability. In no event and under no legal theory,
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liable to You for damages, including any direct, indirect, special,
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PKG_PREFIX := github.com/VictoriaMetrics/VictoriaMetrics
BUILDINFO_TAG ?= $(shell echo $$(git describe --long --all | tr '/' '-')$$( \
git diff-index --quiet HEAD -- || echo '-dirty-'$$(git diff-index -u HEAD | sha1sum | grep -oP '^.{8}')))
PKG_TAG ?= $(shell git tag -l --points-at HEAD)
ifeq ($(PKG_TAG),)
PKG_TAG := $(BUILDINFO_TAG)
endif
GO_BUILDINFO = -X '$(PKG_PREFIX)/lib/buildinfo.Version=$(APP_NAME)-$(shell date -u +'%Y%m%d-%H%M%S')-$(BUILDINFO_TAG)'
all: \
victoria-metrics-prod
include app/*/Makefile
include deployment/*/Makefile
clean:
rm -rf bin/*
release: victoria-metrics-prod
cd bin && tar czf victoria-metrics-$(PKG_TAG).tar.gz victoria-metrics-prod
fmt:
go fmt $(PKG_PREFIX)/lib/...
go fmt $(PKG_PREFIX)/app/...
vet:
go vet $(PKG_PREFIX)/lib/...
go vet $(PKG_PREFIX)/app/...
lint: install-golint
golint lib/...
golint app/...
install-golint:
which golint || GO111MODULE=off go get -u github.com/golang/lint/golint
errcheck: install-errcheck
errcheck -exclude=errcheck_excludes.txt ./lib/...
errcheck -exclude=errcheck_excludes.txt ./app/vminsert/...
errcheck -exclude=errcheck_excludes.txt ./app/vmselect/...
errcheck -exclude=errcheck_excludes.txt ./app/vmstorage/...
install-errcheck:
which errcheck || GO111MODULE=off go get -u github.com/kisielk/errcheck
test:
go test $(PKG_PREFIX)/lib/...
benchmark:
go test -bench=. $(PKG_PREFIX)/lib/...
vendor-update:
go get -u
go mod tidy
go mod vendor
quicktemplate-gen: install-qtc
qtc
install-qtc:
which qtc || GO111MODULE=off go get -u github.com/valyala/quicktemplate/qtc

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<img text-align="center" alt="Victoria Metrics" src="logo.png">
## VictoriaMetrics - the best long-term remote storage for Prometheus
## Single-node VictoriaMetrics
[![Latest Release](https://img.shields.io/github/release/VictoriaMetrics/VictoriaMetrics.svg?style=flat-square)](https://github.com/VictoriaMetrics/VictoriaMetrics/releases/latest)
### VictoriaMetrics features
VictoriaMetrics is a long-term remote storage for Prometheus.
It is available in [binary releases](https://github.com/VictoriaMetrics/VictoriaMetrics/releases),
[docker images](https://hub.docker.com/r/valyala/victoria-metrics/) and
in [source code](https://github.com/VictoriaMetrics/VictoriaMetrics).
- Native [PromQL](https://prometheus.io/docs/prometheus/latest/querying/basics/) support. Additionally, VictoriaMetrics extends PromQL with useful features. See [Extended PromQL](https://github.com/VictoriaMetrics/VictoriaMetrics/wiki/ExtendedPromQL) for more details.
- Simple configuration. Just copy-n-paste remote storage URL to Prometheus config and that's it! See [Quick Start](https://github.com/VictoriaMetrics/VictoriaMetrics/wiki/Quick-Start) for more info.
- Reduced operational overhead. Offload operational burden - configuration, capacity planning, scalability, backups, retention, durability - from Prometheus local storage to VictoriaMetrics.
- Insertion rate scales to [millions of metric values per second](https://medium.com/@valyala/insert-benchmarks-with-inch-influxdb-vs-victoriametrics-e31a41ae2893).
- Storage scales to [millions of metrics](https://medium.com/@valyala/high-cardinality-tsdb-benchmarks-victoriametrics-vs-timescaledb-vs-influxdb-13e6ee64dd6b) with trillions of metric values.
- Wide range of retention periods - from 1 month to 5 years. Users may create different projects (aka `storage namespaces`) with different retention periods.
- [Fast query engine](https://medium.com/@valyala/when-size-matters-benchmarking-victoriametrics-vs-timescale-and-influxdb-6035811952d4). It excels on heavy queries over thousands of metrics with millions of metric values.
- The same remote storage URL may be used by multiple Prometheus instances collecting distinct metric sets, so all these metrics may be used in a single query (aka `global querying view`). This works ideally for multiple Prometheus instances located in different subnetworks / datacenters.
- Accepts data in [InfluxDB line protocol](https://docs.influxdata.com/influxdb/v1.7/write_protocols/line_protocol_reference/), so [Telegraf](https://www.influxdata.com/time-series-platform/telegraf/) and other influx-compatible agents may send data to VictoriaMetrics.
- [Single-server VictoriaMetrics](https://github.com/VictoriaMetrics/VictoriaMetrics/releases) accepts data in [Graphite plaintext protocol](https://graphite.readthedocs.io/en/latest/feeding-carbon.html#the-plaintext-protocol) if `-graphiteListenAddr` is set and in [OpenTSDB format](http://opentsdb.net/docs/build/html/api_telnet/put.html) if `-opentsdbListenAddr` is set.
- VictoriaMetrics supports backfilling, i.e. data points from the past may be inserted into the DB.
- Time series data may be exported via `/api/v1/export?match=<metric_selector>`. Optional `start` and `end` timestamps may be added for exporting time series in the given time range.
- Time series may be deleted via `/api/v1/admin/tsdb/delete_series?match[]=<metric_selector>`.
- [Instant snapshots](https://medium.com/@valyala/how-victoriametrics-makes-instant-snapshots-for-multi-terabyte-time-series-data-e1f3fb0e0282) are supported.
Cluster version is available [here](https://github.com/VictoriaMetrics/VictoriaMetrics/tree/cluster).
### Useful links
## Prominent features
* [Free single-node VictoriaMetrics](https://github.com/VictoriaMetrics/VictoriaMetrics/wiki/Single-server-VictoriaMetrics)
* [Site](https://victoriametrics.com/)
* [`WITH` templates playground](https://play.victoriametrics.com/promql/expand-with-exprs)
* [Grafana playground](http://play-grafana.victoriametrics.com:3000/d/4ome8yJmz/node-exporter-on-victoriametrics-demo)
* [Docs](https://github.com/VictoriaMetrics/VictoriaMetrics/wiki)
* [FAQ](https://github.com/VictoriaMetrics/VictoriaMetrics/wiki/FAQ)
* [Issues](https://github.com/VictoriaMetrics/VictoriaMetrics/issues)
* [Google group](https://groups.google.com/forum/#!forum/victoriametrics)
* [Creating the best remote storage for Prometheus](https://medium.com/devopslinks/victoriametrics-creating-the-best-remote-storage-for-prometheus-5d92d66787ac) - an article with technical details about VictoriaMetrics.
* [Official Grafana Dashboard](https://grafana.com/dashboards/10229)
* Supports [Prometheus querying API](https://prometheus.io/docs/prometheus/latest/querying/api/), so it can be used as Prometheus drop-in replacement in Grafana.
Additionally, VictoriaMetrics extends PromQL with opt-in [useful features](https://github.com/VictoriaMetrics/VictoriaMetrics/wiki/ExtendedPromQL).
* High performance and good scalability for both [inserts](https://medium.com/@valyala/high-cardinality-tsdb-benchmarks-victoriametrics-vs-timescaledb-vs-influxdb-13e6ee64dd6b)
and [selects](https://medium.com/@valyala/when-size-matters-benchmarking-victoriametrics-vs-timescale-and-influxdb-6035811952d4).
[Outperforms InfluxDB and TimescaleDB by up to 20x](https://medium.com/@valyala/measuring-vertical-scalability-for-time-series-databases-in-google-cloud-92550d78d8ae).
* [Uses 10x less RAM than InfluxDB](https://medium.com/@valyala/insert-benchmarks-with-inch-influxdb-vs-victoriametrics-e31a41ae2893) when working with millions of unique time series (aka high cardinality).
* High data compression, so [up to 70x more data points](https://medium.com/@valyala/when-size-matters-benchmarking-victoriametrics-vs-timescale-and-influxdb-6035811952d4)
may be crammed into a limited storage comparing to TimescaleDB.
* Optimized for storage with high-latency IO and low iops (HDD and network storage in AWS, Google Cloud, Microsoft Azure, etc). See [graphs from these benchmarks](https://medium.com/@valyala/high-cardinality-tsdb-benchmarks-victoriametrics-vs-timescaledb-vs-influxdb-13e6ee64dd6b).
* A single-node VictoriaMetrics may substitute moderately sized clusters built with competing solutions such as Thanos, Uber M3, Cortex, InfluxDB or TimescaleDB.
See [vertical scalability benchmarks](https://medium.com/@valyala/measuring-vertical-scalability-for-time-series-databases-in-google-cloud-92550d78d8ae).
* Easy operation:
* VictoriaMetrics consists of a single executable without external dependencies.
* All the configuration is done via explicit command-line flags with reasonable defaults.
* All the data is stored in a single directory pointed by `-storageDataPath` flag.
* Easy backups from [instant snapshots](https://medium.com/@valyala/how-victoriametrics-makes-instant-snapshots-for-multi-terabyte-time-series-data-e1f3fb0e0282).
* Storage is protected from corruption on unclean shutdown (i.e. hardware reset or `kill -9`) thanks to [the storage architecture](https://medium.com/@valyala/how-victoriametrics-makes-instant-snapshots-for-multi-terabyte-time-series-data-e1f3fb0e0282).
* Supports metrics' ingestion and backfilling via the following protocols:
* [Prometheus remote write API](https://prometheus.io/docs/prometheus/latest/configuration/configuration/#remote_write)
* [InfluxDB line protocol](https://docs.influxdata.com/influxdb/v1.7/write_protocols/line_protocol_tutorial/)
* [Graphite plaintext protocol](https://graphite.readthedocs.io/en/latest/feeding-carbon.html) with [tags](https://graphite.readthedocs.io/en/latest/tags.html#carbon)
if `-graphiteListenAddr` is set.
* [OpenTSDB put message](http://opentsdb.net/docs/build/html/api_telnet/put.html) if `-opentsdbListenAddr` is set.
* Ideally works with big amounts of time series data from IoT sensors, connected car sensors and industrial sensors.
* Has open source [cluster version](https://github.com/VictoriaMetrics/VictoriaMetrics/tree/cluster).
### Victoria Metrics Logo
## Operation
### Table of contents
* [How to build from sources](#how-to-build-from-sources)
* [How to start VictoriaMetrics](#how-to-start-victoriametrics)
* [Prometheus setup](#prometheus-setup)
* [Grafana setup](#grafana-setup)
* [How to send data from InfluxDB-compatible agents such as Telegraf](#how-to-send-data-from-influxdb-compatible-agents-such-as-telegraf)
* [How to send data from Graphite-compatible agents such as StatsD](#how-to-send-data-from-graphite-compatible-agents-such-as-statsd)
* [How to send data from OpenTSDB-compatible agents](#how-to-send-data-from-opentsdb-compatible-agents)
* [How to apply new config / ugrade VictoriaMetrics](#how-to-apply-new-config--upgrade-victoriametrics)
* [How to work with snapshots](#how-to-work-with-snapshots)
* [How to delete time series](#how-to-delete-time-series)
* [How to export time series](#how-to-export-time-series)
* [Federation](#federation)
* [Capacity planning](#capacity-planning)
* [High Availability](#high-availability)
* [Multiple retentions](#multiple-retentions)
* [Scalability and cluster version](#scalability-and-cluster-version)
* [Security](#security)
* [Tuning](#tuning)
* [Monitoring](#monitoring)
* [Troubleshooting](#troubleshooting)
* [Community and contributions](#community-and-contributions)
* [Reporting bugs](#reporting-bugs)
### How to build from sources
We recommend using either [binary releases](https://github.com/VictoriaMetrics/VictoriaMetrics/releases) or
[docker images](https://hub.docker.com/r/valyala/victoria-metrics/) instead of building VictoriaMetrics
from sources. Building from sources is reasonable when developing an additional features specific
to your needs.
#### Development build
1. [Install Go](https://golang.org/doc/install). The minimum supported version is Go 1.12.
2. Run `go build ./app/victoria-metrics` from the root folder of the repository.
It will build `victoria-metrics` binary in the root folder of the repository.
#### Production build
1. [Install docker](https://docs.docker.com/install/).
2. Run `make victoria-metrics-prod` from the root folder of the respository.
It will build `victoria-metrics-prod` binary and put it into the `bin` folder.
#### Building docker images
Run `make package-victoria-metrics`. It will build `valyala/victoria-metrics:<PKG_TAG>` docker image locally.
`<PKG_TAG>` is auto-generated image tag, which depends on source code in the repository.
The `<PKG_TAG>` may be manually set via `PKG_TAG=foobar make package`.
### How to start VictoriaMetrics
Just start VictoriaMetrics executable or docker image with the desired command-line flags.
The following command line flags are used the most:
* `-storageDataPath` - path to data directory. VictoriaMetrics stores all the data in this directory.
* `-retentionPeriod` - retention period in months for the data. Older data is automatically deleted.
* `-httpListenAddr` - TCP address to listen to for http requests. By default it listens port `8428` on all the network interfaces.
* `-graphiteListenAddr` - TCP and UDP address to listen to for Graphite data. By default it is disabled.
* `-opentsdbListenAddr` - TCP and UDP address to listen to for OpenTSDB data. By default it is disabled.
Pass `-help` to see all the available flags with description and default values.
### Prometheus setup
Add the following lines to Prometheus config file (it is usually located at `/etc/prometheus/prometheus.yml`):
```yml
remote_write:
- url: http://<victoriametrics-addr>:8428/api/v1/write
queue_config:
max_samples_per_send: 10000
```
Substitute `<victoriametrics-addr>` with the hostname or IP address of VictoriaMetrics.
Then apply the new config via the following command:
```
kill -HUP `pidof prometheus`
```
Prometheus writes incoming data to local storage and to remote storage in parallel.
This means the data remains available in local storage for `--storage.tsdb.retention.time` duration
if remote storage stops working.
If you plan sending data to VictoriaMetrics from multiple Prometheus instances, then add the following lines into `global` section
of [Prometheus config](https://prometheus.io/docs/prometheus/latest/configuration/configuration/#configuration-file):
```yml
global:
external_labels:
datacenter: dc-123
```
This instructs Prometheus to add `datacenter=dc-123` label to each time series sent to remote storage.
The label name may be arbitrary - `datacenter` is just an example. The label value must be unique
across Prometheus instances, so time series may be filtered and grouped by this label.
### Grafana setup
Create [Prometheus datasource](http://docs.grafana.org/features/datasources/prometheus/) in Grafana with the following Url:
```
http://<victoriametrics-addr>:8428
```
Substitute `<victoriametrics-addr>` with the hostname or IP address of VictoriaMetrics.
Then build graphs with the created datasource using [Prometheus query language](https://prometheus.io/docs/prometheus/latest/querying/basics/).
VictoriaMetrics supports native PromQL and [extends it with useful features](ExtendedPromQL).
### How to send data from InfluxDB-compatible agents such as [Telegraf](https://www.influxdata.com/time-series-platform/telegraf/)?
Just use `http://<victoriametric-addr>:8428` url instead of InfluxDB url in agents' configs.
For instance, put the following lines into `Telegraf` config, so it sends data to VictoriaMetrics instead of InfluxDB:
```
[[outputs.influxdb]]
urls = ["http://<victoriametrics-addr>:8428"]
```
Do not forget substituting `<victoriametrics-addr>` with the real address where VictoriaMetrics runs.
VictoriaMetrics maps Influx data using the following rules:
* [`db` query arg](https://docs.influxdata.com/influxdb/v1.7/tools/api/#write-http-endpoint) is mapped into `db` label value
* Field names are mapped to time series names prefixed by `{measurement}.` value
* Field values are mapped to time series values
* Tags are mapped to Prometheus labels as-is
### How to send data from Graphite-compatible agents such as [StatsD](https://github.com/etsy/statsd)?
1) Enable Graphite receiver in VictoriaMetrics by setting `-graphiteListenAddr` command line flag. For instance,
the following command will enable Graphite receiver in VictoriaMetrics on TCP and UDP port `2003`:
```
/path/to/victoria-metrics-prod ... -graphiteListenAddr=:2003
```
2) Use the configured address in Graphite-compatible agents. For instance, set `graphiteHost`
to the VictoriaMetrics host in `StatsD` configs.
### How to send data from OpenTSDB-compatible agents?
1) Enable OpenTSDB receiver in VictoriaMetrics by setting `-opentsdbListenAddr` command line flag. For instance,
the following command will enable OpenTSDB receiver in VictoriaMetrics on TCP and UDP port `4242`:
```
/path/to/victoria-metrics-prod ... -opentsdbListenAddr=:4242
```
2) Send data to the given address from OpenTSDB-compatible agents.
### How to apply new config / upgrade VictoriaMetrics?
VictoriaMetrics must be restarted in order to upgrade or apply new config:
1) Send `SIGINT` signal to VictoriaMetrics process in order to gracefully stop it.
2) Wait until the process stops. This can take a few seconds.
3) Start the upgraded VictoriaMetrics with new config.
### How to work with snapshots?
Navigate to `http://<victoriametrics-addr>:8428/snapshot/create` in order to create an instant snapshot.
The page will return the following JSON response:
```
{"status":"ok","snapshot":"<snapshot-name>"}
```
Snapshots are created under `<-storageDataPath>/snapshots` directory, where `<-storageDataPath>`
is the command-line flag value. Snapshots can be archived to backup storage via `rsync -L`, `scp -r`
or any similar tool that follows symlinks during copying.
The `http://<victoriametrics-addr>:8428/snapshot/list` page contains the list of available snapshots.
Navigate to `http://<victoriametrics-addr>:8428/snapshot/delete?snapshot=<snapshot-name>` in order
to delete `<snapshot-name>` snapshot.
Navigate to `http://<victoriametrics-addr>:8428/snapshot/delete_all` in order to delete all the snapshots.
### How to delete time series?
Send a request to `http://<victoriametrics-addr>:8428/api/v1/admin/tsdb/delete_series?match[]=<timeseries_selector_for_delete>`,
where `<timeseries_selector_for_delete>` may contain any [time series selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors)
for metrics to delete. After that all the time series matching the given selector are deleted. Storage space for
the deleted time series isn't freed instantly - it is freed during subsequent merges of data files.
### How to export time series?
Send a request to `http://<victoriametrics-addr>:8428/api/v1/export?match[]=<timeseries_selector_for_export>`,
where `<timeseries_selector_for_export>` may contain any [time series selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors)
for metrics to export. The response would contain all the data for the selected time series in [JSON streaming format](https://en.wikipedia.org/wiki/JSON_streaming#Line-delimited_JSON).
Each JSON line would contain data for a single time series. An example output:
```
{"metric":{"__name__":"up","job":"node_exporter","instance":"localhost:9100"},"values":[0,0,0],"timestamps":[1549891472010,1549891487724,1549891503438]}
{"metric":{"__name__":"up","job":"prometheus","instance":"localhost:9090"},"values":[1,1,1],"timestamps":[1549891461511,1549891476511,1549891491511]}
```
Optional `start` and `end` args may be added to the request in order to limit the time frame for the exported data. These args may contain either
unix timestamp in seconds or [RFC3339](https://www.ietf.org/rfc/rfc3339.txt) values.
### Federation
VictoriaMetrics exports [Prometheus-compatible federation data](https://prometheus.io/docs/prometheus/latest/federation/)
at `http://<victoriametrics-addr>:8428/federate?match[]=<timeseries_selector_for_federation>`.
Optional `start` and `end` args may be added to the request in order to scrape the last point for each selected time series on the `[start ... end]` interval.
`start` and `end` may contain either unix timestamp in seconds or [RFC3339](https://www.ietf.org/rfc/rfc3339.txt) values. By default the last point
on the interval `[now - max_lookback ... now]` is scraped for each time series. Default value for `max_lookback` is `5m` (5 minutes), but can be overriden.
For instance, `/federate?match[]=up&max_lookback=1h` would return last points on the `[now - 1h ... now]` interval. This may be useful for time series federation
with scrape intervals exceeding `5m`.
### Capacity planning
Rough estimation of the required resources:
* RAM size: less than 1KB per active time series. So, ~1GB of RAM is required for 1M active time series.
Time series is considered active if new data points have been added to it recently or if it has been recently queried.
VictoriaMetrics stores various caches in RAM. Memory size for these caches may be limited with `-memory.allowedPercent` flag.
* CPU cores: a CPU core per 300K inserted data points per second. So, ~4 CPU cores are required for processing
the insert stream of 1M data points per second.
If you see lower numbers per CPU core, then it is likely active time series info doesn't fit caches,
so you need more RAM for lowering CPU usage.
* Storage size: less than a byte per data point on average. So, ~260GB is required for storing a month-long insert stream
of 100K data points per second.
The actual storage size heavily depends on data randomness (entropy). Higher randomness means higher storage size requirements.
### High availability
1) Install multiple VictoriaMetrics instances in distinct datacenters.
2) Add addresses of these instances to `remote_write` section in Prometheus config:
```yml
remote_write:
- url: http://<victoriametrics-addr-1>:8428/api/v1/write
queue_config:
max_samples_per_send: 10000
# ...
- url: http://<victoriametrics-addr-N>:8428/api/v1/write
queue_config:
max_samples_per_send: 10000
```
3) Apply the updated config:
```
kill -HUP `pidof prometheus`
```
4) Now Prometheus should write data into all the configured `remote_write` urls in parallel.
5) Set up [Promxy](https://github.com/jacksontj/promxy) in front of all the VictoriaMetrics replicas.
6) Set up Prometheus datasource in Grafana that points to Promxy.
### Multiple retentions
Just start multiple VictoriaMetrics instances with distinct values for the following flags:
* `-retentionPeriod`
* `-storageDataPath`, so the data for each retention period is saved in a separate directory
* `-httpListenAddr`, so clients may reach VictoriaMetrics instance with proper retention
### Scalability and cluster version
Though single-node VictoriaMetrics cannot scale to multiple nodes, it is optimized for resource usage - storage size / bandwidth / IOPS, RAM, CPU.
This means that a single-node VictoriaMetrics may scale vertically and substitute moderately sized cluster built with competing solutions
such as Thanos, Uber M3, InfluxDB or TimescaleDB.
So try single-node VictoriaMetrics at first and then [switch to cluster version](https://github.com/VictoriaMetrics/VictoriaMetrics/tree/cluster) if you still need
horizontally scalable long-term remote storage for really large Prometheus deployments.
[Contact us](mailto:info@victoriametrics.com) for paid support.
### Security
Do not forget protecting sensitive endpoints in VictoriaMetrics when exposing it to untrusted networks such as internet.
Consider setting the following command-line flags:
* `-tls`, `-tlsCertFile` and `-tlsKeyFile` for switching from HTTP to HTTPS.
* `-httpAuth.username` and `-httpAuth.password` for protecting all the HTTP endpoints
with [HTTP Basic Authentication](https://en.wikipedia.org/wiki/Basic_access_authentication).
* `-deleteAuthKey` for protecting `/api/v1/admin/tsdb/delete_series` endpoint. See [how to delete time series](#how-to-delete-time-series).
* `-snapshotAuthKey` for protecting `/snapshot*` endpoints. See [how to work with snapshots](#how-to-work-with-snapshots).
Explicitly set internal network interface for TCP and UDP ports for data ingestion with Graphite and OpenTSDB formats.
For example, substitute `-graphiteListenAddr=:2003` with `-graphiteListenAddr=<internal_iface_ip>:2003`.
### Tuning
* There is no need in VictoriaMetrics tuning, since it uses reasonable defaults for command-line flags,
which are automatically adjusted for the available CPU and RAM resources.
* There is no need in Operating System tuning, since VictoriaMetrics is optimized for default OS settings.
The only option is increasing the limit on [the number open files in the OS](https://medium.com/@muhammadtriwibowo/set-permanently-ulimit-n-open-files-in-ubuntu-4d61064429a),
so Prometheus instances could establish more connections to VictoriaMetrics.
### Monitoring
VictoriaMetrics exports internal metrics in Prometheus format on the `/metrics` page.
Add this page to Prometheus' scrape config in order to collect VictoriaMetrics metrics.
There is [an official Grafana dashboard for single-node VictoriaMetrics](https://grafana.com/dashboards/10229).
### Troubleshooting
* If VictoriaMetrics works slowly and eats more than a CPU core per 100K ingested data points per second,
then it is likely you have too many active time series for the current amount of RAM.
It is recommended increasing the amount of RAM on the node with VictoriaMetrics in order to improve
ingestion performance.
Another option is to increase `-memory.allowedPercent` command-line flag value. Be careful with this
option, since too big value for `-memory.allowedPercent` may result in high I/O usage.
## Community and contributions
Feel free asking any questions regarding VictoriaMetrics [here](https://groups.google.com/forum/#!forum/victorametrics-users).
We are open to third-party pull requests provided they follow [KISS design principle](https://en.wikipedia.org/wiki/KISS_principle):
- Prefer simple code and architecture.
- Avoid complex abstractions.
- Avoid magic code and fancy algorithms.
- Avoid [big external dependencies](https://medium.com/@valyala/stripping-dependency-bloat-in-victoriametrics-docker-image-983fb5912b0d).
- Minimize the number of moving parts in the distributed system.
- Avoid automated decisions, which may hurt cluster availability, consistency or performance.
Adhering `KISS` principle simplifies the resulting code and architecture, so it can be reviewed, understood and verified by many people.
## Reporting bugs
Report bugs and propose new features [here](https://github.com/VictoriaMetrics/VictoriaMetrics/issues).
## Victoria Metrics Logo
[Zip](VM_logo.zip) contains three folders with different image orientation (main color and inverted version).
@ -47,24 +409,21 @@ Files included in each folder:
* 2 EPS Adobe Illustrator EPS10 files
#### Logo Usage Guidelines
### Logo Usage Guidelines
##### Font used:
#### Font used:
* Lato Black
* Lato Black
* Lato Regular
##### Color Palette:
#### Color Palette:
* HEX [#110f0f](https://www.color-hex.com/color/110f0f)
* HEX [#110f0f](https://www.color-hex.com/color/110f0f)
* HEX [#ffffff](https://www.color-hex.com/color/ffffff)
#### We kindly ask:
### We kindly ask:
- Please don't use any other font instead of suggested.
- There should be sufficient clear space around the logo.
- Do not change spacing, alignment, or relative locations of the design elements.
- Do not change the proportions of any of the design elements or the design itself. You may resize as needed but must retain all proportions.

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@ -0,0 +1,21 @@
# All these commands must run from repository root.
victoria-metrics-prod:
APP_NAME=victoria-metrics $(MAKE) app-via-docker
package-victoria-metrics:
APP_NAME=victoria-metrics \
$(MAKE) package-via-docker
publish-victoria-metrics:
APP_NAME=victoria-metrics $(MAKE) publish-via-docker
run-victoria-metrics:
mkdir -p victoria-metrics-data
DOCKER_OPTS='-v $(shell pwd)/victoria-metrics-data:/victoria-metrics-data -p 8428:8428 -p 2003:2003 -p 2003:2003/udp' \
APP_NAME=victoria-metrics \
ARGS='-graphiteListenAddr=:2003 -opentsdbListenAddr=:4242 -retentionPeriod=12 -search.maxUniqueTimeseries=1000000 -search.maxQueryDuration=10m' \
$(MAKE) run-via-docker
victoria-metrics-arm:
CC=arm-linux-gnueabi-gcc CGO_ENABLED=1 GOARCH=arm GO111MODULE=on go build -mod=vendor -ldflags "$(GO_BUILDINFO)" -o bin/victoria-metrics-arm ./app/victoria-metrics

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@ -0,0 +1,5 @@
FROM scratch
COPY --from=local/certs:1.0.2 /etc/ssl/certs/ca-certificates.crt /etc/ssl/certs/ca-certificates.crt
COPY bin/victoria-metrics-prod .
EXPOSE 8428
ENTRYPOINT ["/victoria-metrics-prod"]

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@ -0,0 +1,60 @@
package main
import (
"flag"
"net/http"
"time"
"github.com/VictoriaMetrics/VictoriaMetrics/app/vminsert"
"github.com/VictoriaMetrics/VictoriaMetrics/app/vmselect"
"github.com/VictoriaMetrics/VictoriaMetrics/app/vmstorage"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/buildinfo"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/httpserver"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/logger"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/procutil"
)
var httpListenAddr = flag.String("httpListenAddr", ":8428", "TCP address to listen for http connections")
func main() {
flag.Parse()
buildinfo.Init()
logger.Init()
logger.Infof("starting VictoraMetrics at %q...", *httpListenAddr)
startTime := time.Now()
vmstorage.Init()
vmselect.Init()
vminsert.Init()
go httpserver.Serve(*httpListenAddr, requestHandler)
logger.Infof("started VictoriaMetrics in %s", time.Since(startTime))
sig := procutil.WaitForSigterm()
logger.Infof("received signal %s", sig)
logger.Infof("gracefully shutting down webservice at %q", *httpListenAddr)
startTime = time.Now()
if err := httpserver.Stop(*httpListenAddr); err != nil {
logger.Fatalf("cannot stop the webservice: %s", err)
}
vminsert.Stop()
logger.Infof("successfully shut down the webservice in %s", time.Since(startTime))
vmstorage.Stop()
vmselect.Stop()
logger.Infof("the VictoriaMetrics has been stopped in %s", time.Since(startTime))
}
func requestHandler(w http.ResponseWriter, r *http.Request) bool {
if vminsert.RequestHandler(w, r) {
return true
}
if vmselect.RequestHandler(w, r) {
return true
}
if vmstorage.RequestHandler(w, r) {
return true
}
return false
}

1
app/vminsert/README.md Normal file
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@ -0,0 +1 @@
`vminsert` routes the ingested data to `vmstorage`.

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@ -0,0 +1,106 @@
package common
import (
"fmt"
"github.com/VictoriaMetrics/VictoriaMetrics/app/vmstorage"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/bytesutil"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/prompb"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/storage"
)
// InsertCtx contains common bits for data points insertion.
type InsertCtx struct {
Labels []prompb.Label
mrs []storage.MetricRow
metricNamesBuf []byte
}
// Reset resets ctx for future fill with rowsLen rows.
func (ctx *InsertCtx) Reset(rowsLen int) {
for _, label := range ctx.Labels {
label.Name = nil
label.Value = nil
}
ctx.Labels = ctx.Labels[:0]
for i := range ctx.mrs {
mr := &ctx.mrs[i]
mr.MetricNameRaw = nil
}
ctx.mrs = ctx.mrs[:0]
if n := rowsLen - cap(ctx.mrs); n > 0 {
ctx.mrs = append(ctx.mrs[:cap(ctx.mrs)], make([]storage.MetricRow, n)...)
}
ctx.mrs = ctx.mrs[:rowsLen]
ctx.metricNamesBuf = ctx.metricNamesBuf[:0]
}
func (ctx *InsertCtx) marshalMetricNameRaw(prefix []byte, labels []prompb.Label) []byte {
start := len(ctx.metricNamesBuf)
ctx.metricNamesBuf = append(ctx.metricNamesBuf, prefix...)
ctx.metricNamesBuf = storage.MarshalMetricNameRaw(ctx.metricNamesBuf, labels)
metricNameRaw := ctx.metricNamesBuf[start:]
return metricNameRaw[:len(metricNameRaw):len(metricNameRaw)]
}
// WriteDataPoint writes (timestamp, value) with the given prefix and lables into ctx buffer.
func (ctx *InsertCtx) WriteDataPoint(prefix []byte, labels []prompb.Label, timestamp int64, value float64) {
metricNameRaw := ctx.marshalMetricNameRaw(prefix, labels)
ctx.addRow(metricNameRaw, timestamp, value)
}
// WriteDataPointExt writes (timestamp, value) with the given metricNameRaw and labels into ctx buffer.
//
// It returns metricNameRaw for the given labels if len(metricNameRaw) == 0.
func (ctx *InsertCtx) WriteDataPointExt(metricNameRaw []byte, labels []prompb.Label, timestamp int64, value float64) []byte {
if len(metricNameRaw) == 0 {
metricNameRaw = ctx.marshalMetricNameRaw(nil, labels)
}
ctx.addRow(metricNameRaw, timestamp, value)
return metricNameRaw
}
func (ctx *InsertCtx) addRow(metricNameRaw []byte, timestamp int64, value float64) {
mrs := ctx.mrs
if cap(mrs) > len(mrs) {
mrs = mrs[:len(mrs)+1]
} else {
mrs = append(mrs, storage.MetricRow{})
}
mr := &mrs[len(mrs)-1]
ctx.mrs = mrs
mr.MetricNameRaw = metricNameRaw
mr.Timestamp = timestamp
mr.Value = value
}
// AddLabel adds (name, value) label to ctx.Labels.
//
// name and value must exist until ctx.Labels is used.
func (ctx *InsertCtx) AddLabel(name, value string) {
labels := ctx.Labels
if cap(labels) > len(labels) {
labels = labels[:len(labels)+1]
} else {
labels = append(labels, prompb.Label{})
}
label := &labels[len(labels)-1]
// Do not copy name and value contents for performance reasons.
// This reduces GC overhead on the number of objects and allocations.
label.Name = bytesutil.ToUnsafeBytes(name)
label.Value = bytesutil.ToUnsafeBytes(value)
ctx.Labels = labels
}
// FlushBufs flushes buffered rows to the underlying storage.
func (ctx *InsertCtx) FlushBufs() error {
if err := vmstorage.AddRows(ctx.mrs); err != nil {
return fmt.Errorf("cannot store metrics: %s", err)
}
return nil
}

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@ -0,0 +1,34 @@
package concurrencylimiter
import (
"fmt"
"runtime"
"time"
)
var (
// ch is the channel for limiting concurrent inserts.
// Put an item into it before performing an insert and remove
// the item after the insert is complete.
ch = make(chan struct{}, runtime.GOMAXPROCS(-1)*2)
// waitDuration is the amount of time to wait until at least a single
// concurrent insert out of cap(Ch) inserts is complete.
waitDuration = time.Second * 30
)
// Do calls f with the limited concurrency.
func Do(f func() error) error {
// Limit the number of conurrent inserts in order to prevent from excess
// memory usage and CPU trashing.
t := time.NewTimer(waitDuration)
select {
case ch <- struct{}{}:
t.Stop()
err := f()
<-ch
return err
case <-t.C:
return fmt.Errorf("the server is overloaded with %d concurrent inserts; either increase the number of CPUs or reduce the load", cap(ch))
}
}

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@ -0,0 +1,176 @@
package graphite
import (
"fmt"
"strings"
"github.com/valyala/fastjson/fastfloat"
)
// Rows contains parsed graphite rows.
type Rows struct {
Rows []Row
tagsPool []Tag
}
// Reset resets rs.
func (rs *Rows) Reset() {
// Reset items, so they can be GC'ed
for i := range rs.Rows {
rs.Rows[i].reset()
}
rs.Rows = rs.Rows[:0]
for i := range rs.tagsPool {
rs.tagsPool[i].reset()
}
rs.tagsPool = rs.tagsPool[:0]
}
// Unmarshal unmarshals grahite plaintext protocol rows from s.
//
// See https://graphite.readthedocs.io/en/latest/feeding-carbon.html#the-plaintext-protocol
//
// s must be unchanged until rs is in use.
func (rs *Rows) Unmarshal(s string) error {
var err error
rs.Rows, rs.tagsPool, err = unmarshalRows(rs.Rows[:0], s, rs.tagsPool[:0])
if err != nil {
return err
}
return err
}
// Row is a single graphite row.
type Row struct {
Metric string
Tags []Tag
Value float64
Timestamp int64
}
func (r *Row) reset() {
r.Metric = ""
r.Tags = nil
r.Value = 0
r.Timestamp = 0
}
func (r *Row) unmarshal(s string, tagsPool []Tag) ([]Tag, error) {
r.reset()
n := strings.IndexByte(s, ' ')
if n < 0 {
return tagsPool, fmt.Errorf("cannot find whitespace between metric and value in %q", s)
}
metricAndTags := s[:n]
tail := s[n+1:]
n = strings.IndexByte(metricAndTags, ';')
if n < 0 {
// No tags
r.Metric = metricAndTags
} else {
// Tags found
r.Metric = metricAndTags[:n]
tagsStart := len(tagsPool)
var err error
tagsPool, err = unmarshalTags(tagsPool, metricAndTags[n+1:])
if err != nil {
return tagsPool, fmt.Errorf("cannot umarshal tags: %s", err)
}
tags := tagsPool[tagsStart:]
r.Tags = tags[:len(tags):len(tags)]
}
n = strings.IndexByte(tail, ' ')
if n < 0 {
return tagsPool, fmt.Errorf("cannot find whitespace between value and timestamp in %q", s)
}
r.Value = fastfloat.ParseBestEffort(tail[:n])
r.Timestamp = fastfloat.ParseInt64BestEffort(tail[n+1:])
return tagsPool, nil
}
func unmarshalRows(dst []Row, s string, tagsPool []Tag) ([]Row, []Tag, error) {
for len(s) > 0 {
n := strings.IndexByte(s, '\n')
if n == 0 {
// Skip empty line
s = s[1:]
continue
}
if cap(dst) > len(dst) {
dst = dst[:len(dst)+1]
} else {
dst = append(dst, Row{})
}
r := &dst[len(dst)-1]
if n < 0 {
// The last line.
var err error
tagsPool, err = r.unmarshal(s, tagsPool)
if err != nil {
return dst, tagsPool, err
}
return dst, tagsPool, nil
}
var err error
tagsPool, err = r.unmarshal(s[:n], tagsPool)
if err != nil {
return dst, tagsPool, err
}
s = s[n+1:]
}
return dst, tagsPool, nil
}
func unmarshalTags(dst []Tag, s string) ([]Tag, error) {
for {
if cap(dst) > len(dst) {
dst = dst[:len(dst)+1]
} else {
dst = append(dst, Tag{})
}
tag := &dst[len(dst)-1]
n := strings.IndexByte(s, ';')
if n < 0 {
// The last tag found
if err := tag.unmarshal(s); err != nil {
return dst[:len(dst)-1], err
}
return dst, nil
}
if err := tag.unmarshal(s[:n]); err != nil {
return dst[:len(dst)-1], err
}
s = s[n+1:]
}
}
// Tag is a graphite tag.
type Tag struct {
Key string
Value string
}
func (t *Tag) reset() {
t.Key = ""
t.Value = ""
}
func (t *Tag) unmarshal(s string) error {
t.reset()
n := strings.IndexByte(s, '=')
if n < 0 {
return fmt.Errorf("missing tag value for %q", s)
}
t.Key = s[:n]
if len(t.Key) == 0 {
return fmt.Errorf("tag key cannot be empty for %q", s)
}
t.Value = s[n+1:]
return nil
}

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@ -0,0 +1,133 @@
package graphite
import (
"reflect"
"testing"
)
func TestRowsUnmarshalFailure(t *testing.T) {
f := func(s string) {
t.Helper()
var rows Rows
if err := rows.Unmarshal(s); err == nil {
t.Fatalf("expecting non-nil error when parsing %q", s)
}
// Try again
if err := rows.Unmarshal(s); err == nil {
t.Fatalf("expecting non-nil error when parsing %q", s)
}
}
// Missing value
f("aaa")
// Missing timestamp
f("aaa 1123")
// Invalid multiline
f("aaa\nbbb 123 34")
// missing tag
f("aa; 12 34")
// missing tag value
f("aa;bb 23 34")
f("aa;=dsd 234 45")
}
func TestRowsUnmarshalSuccess(t *testing.T) {
f := func(s string, rowsExpected *Rows) {
t.Helper()
var rows Rows
if err := rows.Unmarshal(s); err != nil {
t.Fatalf("cannot unmarshal %q: %s", s, err)
}
if !reflect.DeepEqual(rows.Rows, rowsExpected.Rows) {
t.Fatalf("unexpected rows;\ngot\n%+v;\nwant\n%+v", rows.Rows, rowsExpected.Rows)
}
// Try unmarshaling again
if err := rows.Unmarshal(s); err != nil {
t.Fatalf("cannot unmarshal %q: %s", s, err)
}
if !reflect.DeepEqual(rows.Rows, rowsExpected.Rows) {
t.Fatalf("unexpected rows;\ngot\n%+v;\nwant\n%+v", rows.Rows, rowsExpected.Rows)
}
rows.Reset()
if len(rows.Rows) != 0 {
t.Fatalf("non-empty rows after reset: %+v", rows.Rows)
}
}
// Empty line
f("", &Rows{})
f("\n\n", &Rows{})
// Single line
f("foobar -123.456 789", &Rows{
Rows: []Row{{
Metric: "foobar",
Value: -123.456,
Timestamp: 789,
}},
})
f("foo.bar 123.456 789\n", &Rows{
Rows: []Row{{
Metric: "foo.bar",
Value: 123.456,
Timestamp: 789,
}},
})
// Tags
f("foo;bar=baz 1 2", &Rows{
Rows: []Row{{
Metric: "foo",
Tags: []Tag{{
Key: "bar",
Value: "baz",
}},
Value: 1,
Timestamp: 2,
}},
})
f("foo;bar=baz;aa=;x=y 1 2", &Rows{
Rows: []Row{{
Metric: "foo",
Tags: []Tag{
{
Key: "bar",
Value: "baz",
},
{
Key: "aa",
Value: "",
},
{
Key: "x",
Value: "y",
},
},
Value: 1,
Timestamp: 2,
}},
})
// Multi lines
f("foo 0.3 2\nbar.baz 0.34 43\n", &Rows{
Rows: []Row{
{
Metric: "foo",
Value: 0.3,
Timestamp: 2,
},
{
Metric: "bar.baz",
Value: 0.34,
Timestamp: 43,
},
},
})
}

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@ -0,0 +1,24 @@
package graphite
import (
"fmt"
"testing"
)
func BenchmarkRowsUnmarshal(b *testing.B) {
s := `cpu.usage_user 1.23 1234556768
cpu.usage_system 23.344 1234556768
cpu.usage_iowait 3.3443 1234556769
cpu.usage_irq 0.34432 1234556768
`
b.SetBytes(int64(len(s)))
b.ReportAllocs()
b.RunParallel(func(pb *testing.PB) {
var rows Rows
for pb.Next() {
if err := rows.Unmarshal(s); err != nil {
panic(fmt.Errorf("cannot unmarshal %q: %s", s, err))
}
}
})
}

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@ -0,0 +1,166 @@
package graphite
import (
"bytes"
"fmt"
"io"
"net"
"runtime"
"sync"
"time"
"github.com/VictoriaMetrics/VictoriaMetrics/app/vminsert/common"
"github.com/VictoriaMetrics/VictoriaMetrics/app/vminsert/concurrencylimiter"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/bytesutil"
"github.com/VictoriaMetrics/metrics"
)
var rowsInserted = metrics.NewCounter(`vm_rows_inserted_total{type="graphite"}`)
// insertHandler processes remote write for graphite plaintext protocol.
//
// See https://graphite.readthedocs.io/en/latest/feeding-carbon.html#the-plaintext-protocol
func insertHandler(r io.Reader) error {
return concurrencylimiter.Do(func() error {
return insertHandlerInternal(r)
})
}
func insertHandlerInternal(r io.Reader) error {
ctx := getPushCtx()
defer putPushCtx(ctx)
for ctx.Read(r) {
if err := ctx.InsertRows(); err != nil {
return err
}
}
return ctx.Error()
}
func (ctx *pushCtx) InsertRows() error {
rows := ctx.Rows.Rows
ic := &ctx.Common
ic.Reset(len(rows))
for i := range rows {
r := &rows[i]
ic.Labels = ic.Labels[:0]
ic.AddLabel("", r.Metric)
for j := range r.Tags {
tag := &r.Tags[j]
ic.AddLabel(tag.Key, tag.Value)
}
ic.WriteDataPoint(nil, ic.Labels, r.Timestamp, r.Value)
}
rowsInserted.Add(len(rows))
return ic.FlushBufs()
}
const maxReadPacketSize = 4 * 1024 * 1024
const flushTimeout = 3 * time.Second
func (ctx *pushCtx) Read(r io.Reader) bool {
graphiteReadCalls.Inc()
if ctx.err != nil {
return false
}
if c, ok := r.(net.Conn); ok {
if err := c.SetReadDeadline(time.Now().Add(flushTimeout)); err != nil {
graphiteReadErrors.Inc()
ctx.err = fmt.Errorf("cannot set read deadline: %s", err)
return false
}
}
lr := io.LimitReader(r, maxReadPacketSize)
ctx.reqBuf.Reset()
ctx.reqBuf.B = append(ctx.reqBuf.B[:0], ctx.tailBuf...)
n, err := io.CopyBuffer(&ctx.reqBuf, lr, ctx.copyBuf[:])
if err != nil {
if ne, ok := err.(net.Error); ok && ne.Timeout() {
// Flush the read data on timeout and try reading again.
} else {
graphiteReadErrors.Inc()
ctx.err = fmt.Errorf("cannot read graphite plaintext protocol data: %s", err)
return false
}
} else if n < maxReadPacketSize {
// Mark the end of stream.
ctx.err = io.EOF
}
// Parse all the rows until the last newline in ctx.reqBuf.B
nn := bytes.LastIndexByte(ctx.reqBuf.B, '\n')
ctx.tailBuf = ctx.tailBuf[:0]
if nn >= 0 {
ctx.tailBuf = append(ctx.tailBuf[:0], ctx.reqBuf.B[nn+1:]...)
ctx.reqBuf.B = ctx.reqBuf.B[:nn]
}
if err = ctx.Rows.Unmarshal(bytesutil.ToUnsafeString(ctx.reqBuf.B)); err != nil {
graphiteUnmarshalErrors.Inc()
ctx.err = fmt.Errorf("cannot unmarshal graphite plaintext protocol data with size %d: %s", len(ctx.reqBuf.B), err)
return false
}
// Convert timestamps from seconds to milliseconds
for i := range ctx.Rows.Rows {
ctx.Rows.Rows[i].Timestamp *= 1e3
}
return true
}
type pushCtx struct {
Rows Rows
Common common.InsertCtx
reqBuf bytesutil.ByteBuffer
tailBuf []byte
copyBuf [16 * 1024]byte
err error
}
func (ctx *pushCtx) Error() error {
if ctx.err == io.EOF {
return nil
}
return ctx.err
}
func (ctx *pushCtx) reset() {
ctx.Rows.Reset()
ctx.Common.Reset(0)
ctx.reqBuf.Reset()
ctx.tailBuf = ctx.tailBuf[:0]
ctx.err = nil
}
var (
graphiteReadCalls = metrics.NewCounter(`vm_read_calls_total{name="graphite"}`)
graphiteReadErrors = metrics.NewCounter(`vm_read_errors_total{name="graphite"}`)
graphiteUnmarshalErrors = metrics.NewCounter(`vm_unmarshal_errors_total{name="graphite"}`)
)
func getPushCtx() *pushCtx {
select {
case ctx := <-pushCtxPoolCh:
return ctx
default:
if v := pushCtxPool.Get(); v != nil {
return v.(*pushCtx)
}
return &pushCtx{}
}
}
func putPushCtx(ctx *pushCtx) {
ctx.reset()
select {
case pushCtxPoolCh <- ctx:
default:
pushCtxPool.Put(ctx)
}
}
var pushCtxPool sync.Pool
var pushCtxPoolCh = make(chan *pushCtx, runtime.GOMAXPROCS(-1))

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package graphite
import (
"net"
"runtime"
"strings"
"sync"
"time"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/bytesutil"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/logger"
"github.com/VictoriaMetrics/metrics"
)
var (
writeRequestsTCP = metrics.NewCounter(`vm_graphite_requests_total{name="write", net="tcp"}`)
writeErrorsTCP = metrics.NewCounter(`vm_graphite_request_errors_total{name="write", net="tcp"}`)
writeRequestsUDP = metrics.NewCounter(`vm_graphite_requests_total{name="write", net="udp"}`)
writeErrorsUDP = metrics.NewCounter(`vm_graphite_request_errors_total{name="write", net="udp"}`)
)
// Serve starts graphite server on the given addr.
func Serve(addr string) {
logger.Infof("starting TCP Graphite server at %q", addr)
lnTCP, err := net.Listen("tcp4", addr)
if err != nil {
logger.Fatalf("cannot start TCP Graphite server at %q: %s", addr, err)
}
listenerTCP = lnTCP
logger.Infof("starting UDP Graphite server at %q", addr)
lnUDP, err := net.ListenPacket("udp4", addr)
if err != nil {
logger.Fatalf("cannot start UDP Graphite server at %q: %s", addr, err)
}
listenerUDP = lnUDP
var wg sync.WaitGroup
wg.Add(1)
go func() {
defer wg.Done()
serveTCP(listenerTCP)
logger.Infof("stopped TCP Graphite server at %q", addr)
}()
wg.Add(1)
go func() {
defer wg.Done()
serveUDP(listenerUDP)
logger.Infof("stopped UDP Graphite server at %q", addr)
}()
wg.Wait()
}
func serveTCP(ln net.Listener) {
for {
c, err := ln.Accept()
if err != nil {
if ne, ok := err.(net.Error); ok {
if ne.Temporary() {
time.Sleep(time.Second)
continue
}
if strings.Contains(err.Error(), "use of closed network connection") {
break
}
logger.Fatalf("unrecoverable error when accepting TCP Graphite connections: %s", err)
}
logger.Fatalf("unexpected error when accepting TCP Graphite connections: %s", err)
}
go func() {
writeRequestsTCP.Inc()
if err := insertHandler(c); err != nil {
writeErrorsTCP.Inc()
logger.Errorf("error in TCP Graphite conn %q<->%q: %s", c.LocalAddr(), c.RemoteAddr(), err)
}
_ = c.Close()
}()
}
}
func serveUDP(ln net.PacketConn) {
gomaxprocs := runtime.GOMAXPROCS(-1)
var wg sync.WaitGroup
for i := 0; i < gomaxprocs; i++ {
wg.Add(1)
go func() {
defer wg.Done()
var bb bytesutil.ByteBuffer
bb.B = bytesutil.Resize(bb.B, 64*1024)
for {
bb.Reset()
bb.B = bb.B[:cap(bb.B)]
n, addr, err := ln.ReadFrom(bb.B)
if err != nil {
writeErrorsUDP.Inc()
if ne, ok := err.(net.Error); ok {
if ne.Temporary() {
time.Sleep(time.Second)
continue
}
if strings.Contains(err.Error(), "use of closed network connection") {
break
}
}
logger.Errorf("cannot read Graphite UDP data: %s", err)
continue
}
bb.B = bb.B[:n]
writeRequestsUDP.Inc()
if err := insertHandler(bb.NewReader()); err != nil {
writeErrorsUDP.Inc()
logger.Errorf("error in UDP Graphite conn %q<->%q: %s", ln.LocalAddr(), addr, err)
continue
}
}
}()
}
wg.Wait()
}
var (
listenerTCP net.Listener
listenerUDP net.PacketConn
)
// Stop stops the server.
func Stop() {
logger.Infof("stopping TCP Graphite server at %q...", listenerTCP.Addr())
if err := listenerTCP.Close(); err != nil {
logger.Errorf("cannot close TCP Graphite server: %s", err)
}
logger.Infof("stopping UDP Graphite server at %q...", listenerUDP.LocalAddr())
if err := listenerUDP.Close(); err != nil {
logger.Errorf("cannot close UDP Graphite server: %s", err)
}
}

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package influx
import (
"fmt"
"strings"
"github.com/valyala/fastjson/fastfloat"
)
// Rows contains parsed influx rows.
type Rows struct {
Rows []Row
tagsPool []Tag
fieldsPool []Field
}
// Reset resets rs.
func (rs *Rows) Reset() {
// Reset rows, tags and fields in order to remove references to old data,
// so GC could collect it.
for i := range rs.Rows {
rs.Rows[i].reset()
}
rs.Rows = rs.Rows[:0]
for i := range rs.tagsPool {
rs.tagsPool[i].reset()
}
rs.tagsPool = rs.tagsPool[:0]
for i := range rs.fieldsPool {
rs.fieldsPool[i].reset()
}
rs.fieldsPool = rs.fieldsPool[:0]
}
// Unmarshal unmarshals influx line protocol rows from s.
//
// See https://docs.influxdata.com/influxdb/v1.7/write_protocols/line_protocol_tutorial/
//
// s must be unchanged until rs is in use.
func (rs *Rows) Unmarshal(s string) error {
var err error
rs.Rows, rs.tagsPool, rs.fieldsPool, err = unmarshalRows(rs.Rows[:0], s, rs.tagsPool[:0], rs.fieldsPool[:0])
if err != nil {
return err
}
return err
}
// Row is a single influx row.
type Row struct {
Measurement string
Tags []Tag
Fields []Field
Timestamp int64
}
func (r *Row) reset() {
r.Measurement = ""
r.Tags = nil
r.Fields = nil
r.Timestamp = 0
}
func (r *Row) unmarshal(s string, tagsPool []Tag, fieldsPool []Field) ([]Tag, []Field, error) {
r.reset()
noEscapeChars := strings.IndexByte(s, '\\') < 0
n := nextUnescapedChar(s, ' ', noEscapeChars)
if n < 0 {
return tagsPool, fieldsPool, fmt.Errorf("cannot find Whitespace I in %q", s)
}
measurementTags := s[:n]
s = s[n+1:]
// Parse measurement and tags
var err error
n = nextUnescapedChar(measurementTags, ',', noEscapeChars)
if n >= 0 {
tagsStart := len(tagsPool)
tagsPool, err = unmarshalTags(tagsPool, measurementTags[n+1:], noEscapeChars)
if err != nil {
return tagsPool, fieldsPool, err
}
tags := tagsPool[tagsStart:]
r.Tags = tags[:len(tags):len(tags)]
measurementTags = measurementTags[:n]
}
r.Measurement = unescapeTagValue(measurementTags, noEscapeChars)
if len(r.Measurement) == 0 {
return tagsPool, fieldsPool, fmt.Errorf("measurement cannot be empty. measurementTags=%q", s)
}
// Parse fields
fieldsStart := len(fieldsPool)
hasQuotedFields := nextUnescapedChar(s, '"', noEscapeChars) >= 0
n = nextUnquotedChar(s, ' ', noEscapeChars, hasQuotedFields)
if n < 0 {
// No timestamp.
fieldsPool, err = unmarshalInfluxFields(fieldsPool, s, noEscapeChars, hasQuotedFields)
if err != nil {
return tagsPool, fieldsPool, err
}
fields := fieldsPool[fieldsStart:]
r.Fields = fields[:len(fields):len(fields)]
return tagsPool, fieldsPool, nil
}
fieldsPool, err = unmarshalInfluxFields(fieldsPool, s[:n], noEscapeChars, hasQuotedFields)
if err != nil {
return tagsPool, fieldsPool, err
}
r.Fields = fieldsPool[fieldsStart:]
s = s[n+1:]
// Parse timestamp
timestamp := fastfloat.ParseInt64BestEffort(s)
if timestamp == 0 && s != "0" {
return tagsPool, fieldsPool, fmt.Errorf("cannot parse timestamp %q", s)
}
r.Timestamp = timestamp
return tagsPool, fieldsPool, nil
}
// Tag represents influx tag.
type Tag struct {
Key string
Value string
}
func (tag *Tag) reset() {
tag.Key = ""
tag.Value = ""
}
func (tag *Tag) unmarshal(s string, noEscapeChars bool) error {
tag.reset()
n := nextUnescapedChar(s, '=', noEscapeChars)
if n < 0 {
return fmt.Errorf("missing tag value for %q", s)
}
tag.Key = unescapeTagValue(s[:n], noEscapeChars)
if len(tag.Key) == 0 {
return fmt.Errorf("tag key cannot be empty")
}
tag.Value = unescapeTagValue(s[n+1:], noEscapeChars)
return nil
}
// Field represents influx field.
type Field struct {
Key string
Value float64
}
func (f *Field) reset() {
f.Key = ""
f.Value = 0
}
func (f *Field) unmarshal(s string, noEscapeChars, hasQuotedFields bool) error {
f.reset()
n := nextUnescapedChar(s, '=', noEscapeChars)
if n < 0 {
return fmt.Errorf("missing field value for %q", s)
}
f.Key = unescapeTagValue(s[:n], noEscapeChars)
if len(f.Key) == 0 {
return fmt.Errorf("field key cannot be empty")
}
v, err := parseFieldValue(s[n+1:], hasQuotedFields)
if err != nil {
return fmt.Errorf("cannot parse field value for %q: %s", f.Key, err)
}
f.Value = v
return nil
}
func unmarshalRows(dst []Row, s string, tagsPool []Tag, fieldsPool []Field) ([]Row, []Tag, []Field, error) {
for len(s) > 0 {
n := strings.IndexByte(s, '\n')
if n == 0 {
// Skip empty line
s = s[1:]
continue
}
if cap(dst) > len(dst) {
dst = dst[:len(dst)+1]
} else {
dst = append(dst, Row{})
}
r := &dst[len(dst)-1]
if n < 0 {
// The last line.
var err error
tagsPool, fieldsPool, err = r.unmarshal(s, tagsPool, fieldsPool)
if err != nil {
return dst, tagsPool, fieldsPool, err
}
return dst, tagsPool, fieldsPool, nil
}
var err error
tagsPool, fieldsPool, err = r.unmarshal(s[:n], tagsPool, fieldsPool)
if err != nil {
return dst, tagsPool, fieldsPool, err
}
s = s[n+1:]
}
return dst, tagsPool, fieldsPool, nil
}
func unmarshalTags(dst []Tag, s string, noEscapeChars bool) ([]Tag, error) {
for {
if cap(dst) > len(dst) {
dst = dst[:len(dst)+1]
} else {
dst = append(dst, Tag{})
}
tag := &dst[len(dst)-1]
n := nextUnescapedChar(s, ',', noEscapeChars)
if n < 0 {
if err := tag.unmarshal(s, noEscapeChars); err != nil {
return dst, err
}
return dst, nil
}
if err := tag.unmarshal(s[:n], noEscapeChars); err != nil {
return dst, err
}
s = s[n+1:]
}
}
func unmarshalInfluxFields(dst []Field, s string, noEscapeChars, hasQuotedFields bool) ([]Field, error) {
for {
if cap(dst) > len(dst) {
dst = dst[:len(dst)+1]
} else {
dst = append(dst, Field{})
}
f := &dst[len(dst)-1]
n := nextUnquotedChar(s, ',', noEscapeChars, hasQuotedFields)
if n < 0 {
if err := f.unmarshal(s, noEscapeChars, hasQuotedFields); err != nil {
return dst, err
}
return dst, nil
}
if err := f.unmarshal(s[:n], noEscapeChars, hasQuotedFields); err != nil {
return dst, err
}
s = s[n+1:]
}
}
func unescapeTagValue(s string, noEscapeChars bool) string {
if noEscapeChars {
// Fast path - no escape chars.
return s
}
n := strings.IndexByte(s, '\\')
if n < 0 {
return s
}
// Slow path. Remove escape chars.
dst := make([]byte, 0, len(s))
for {
dst = append(dst, s[:n]...)
s = s[n+1:]
if len(s) == 0 {
return string(append(dst, '\\'))
}
ch := s[0]
if ch != ' ' && ch != ',' && ch != '=' && ch != '\\' {
dst = append(dst, '\\')
}
dst = append(dst, ch)
s = s[1:]
n = strings.IndexByte(s, '\\')
if n < 0 {
return string(append(dst, s...))
}
}
}
func parseFieldValue(s string, hasQuotedFields bool) (float64, error) {
if len(s) == 0 {
return 0, fmt.Errorf("field value cannot be empty")
}
if hasQuotedFields && s[0] == '"' {
if len(s) < 2 || s[len(s)-1] != '"' {
return 0, fmt.Errorf("missing closing quote for quoted field value %s", s)
}
// Quoted string is translated to empty value.
return 0, nil
}
ch := s[len(s)-1]
if ch == 'i' {
// Integer value
ss := s[:len(s)-1]
n := fastfloat.ParseInt64BestEffort(ss)
return float64(n), nil
}
if ch == 'u' {
// Unsigned integer value
ss := s[:len(s)-1]
n := fastfloat.ParseUint64BestEffort(ss)
return float64(n), nil
}
if s == "t" || s == "T" || s == "true" || s == "True" || s == "TRUE" {
return 1, nil
}
if s == "f" || s == "F" || s == "false" || s == "False" || s == "FALSE" {
return 0, nil
}
return fastfloat.ParseBestEffort(s), nil
}
func nextUnescapedChar(s string, ch byte, noEscapeChars bool) int {
if noEscapeChars {
// Fast path: just search for ch in s, since s has no escape chars.
return strings.IndexByte(s, ch)
}
sOrig := s
again:
n := strings.IndexByte(s, ch)
if n < 0 {
return -1
}
if n == 0 {
return len(sOrig) - len(s) + n
}
if s[n-1] != '\\' {
return len(sOrig) - len(s) + n
}
nOrig := n
slashes := 0
for n > 0 && s[n-1] == '\\' {
slashes++
n--
}
if slashes&1 == 0 {
return len(sOrig) - len(s) + nOrig
}
s = s[nOrig+1:]
goto again
}
func nextUnquotedChar(s string, ch byte, noEscapeChars, hasQuotedFields bool) int {
if !hasQuotedFields {
return nextUnescapedChar(s, ch, noEscapeChars)
}
sOrig := s
for {
n := nextUnescapedChar(s, ch, noEscapeChars)
if n < 0 {
return -1
}
if !isInQuote(s[:n], noEscapeChars) {
return n + len(sOrig) - len(s)
}
s = s[n+1:]
n = nextUnescapedChar(s, '"', noEscapeChars)
if n < 0 {
return -1
}
s = s[n+1:]
}
}
func isInQuote(s string, noEscapeChars bool) bool {
isQuote := false
for {
n := nextUnescapedChar(s, '"', noEscapeChars)
if n < 0 {
return isQuote
}
isQuote = !isQuote
s = s[n+1:]
}
}

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@ -0,0 +1,341 @@
package influx
import (
"reflect"
"testing"
)
func TestNextUnquotedChar(t *testing.T) {
f := func(s string, ch byte, noUnescape bool, nExpected int) {
t.Helper()
n := nextUnquotedChar(s, ch, noUnescape, true)
if n != nExpected {
t.Fatalf("unexpected n for nextUnqotedChar(%q, '%c', %v); got %d; want %d", s, ch, noUnescape, n, nExpected)
}
}
f(``, ' ', false, -1)
f(``, ' ', true, -1)
f(`""`, ' ', false, -1)
f(`""`, ' ', true, -1)
f(`"foo bar\" " baz`, ' ', false, 12)
f(`"foo bar\" " baz`, ' ', true, 10)
}
func TestNextUnescapedChar(t *testing.T) {
f := func(s string, ch byte, noUnescape bool, nExpected int) {
t.Helper()
n := nextUnescapedChar(s, ch, noUnescape)
if n != nExpected {
t.Fatalf("unexpected n for nextUnescapedChar(%q, '%c', %v); got %d; want %d", s, ch, noUnescape, n, nExpected)
}
}
f("", ' ', true, -1)
f("", ' ', false, -1)
f(" ", ' ', true, 0)
f(" ", ' ', false, 0)
f("x y", ' ', true, 1)
f("x y", ' ', false, 1)
f(`x\ y`, ' ', true, 2)
f(`x\ y`, ' ', false, 3)
f(`\\,`, ',', true, 2)
f(`\\,`, ',', false, 2)
f(`\\\=`, '=', true, 3)
f(`\\\=`, '=', false, -1)
f(`\\\=aa`, '=', true, 3)
f(`\\\=aa`, '=', false, -1)
f(`\\\=a=a`, '=', true, 3)
f(`\\\=a=a`, '=', false, 5)
f(`a\`, ' ', true, -1)
f(`a\`, ' ', false, -1)
}
func TestUnescapeTagValue(t *testing.T) {
f := func(s, sExpected string) {
t.Helper()
ss := unescapeTagValue(s, false)
if ss != sExpected {
t.Fatalf("unexpected value for %q; got %q; want %q", s, ss, sExpected)
}
}
f("", "")
f("x", "x")
f("foobar", "foobar")
f("привет", "привет")
f(`\a\b\cd`, `\a\b\cd`)
f(`\`, `\`)
f(`foo\`, `foo\`)
f(`\,foo\\\=\ bar`, `,foo\= bar`)
}
func TestRowsUnmarshalFailure(t *testing.T) {
f := func(s string) {
t.Helper()
var rows Rows
if err := rows.Unmarshal(s); err == nil {
t.Fatalf("expecting non-nil error when parsing %q", s)
}
// Try again
if err := rows.Unmarshal(s); err == nil {
t.Fatalf("expecting non-nil error when parsing %q", s)
}
}
// Missing measurement
f(",foo=bar baz=123")
// No fields
f("foo")
f("foo,bar=baz 1234")
// Missing tag value
f("foo,bar")
f("foo,bar baz")
f("foo,bar= baz")
f("foo,bar=123, 123")
// Missing tag name
f("foo,=bar baz=234")
// Missing field value
f("foo bar")
f("foo bar=")
f("foo bar=,baz=23 123")
f("foo bar=1, 123")
f(`foo bar=" 123`)
f(`foo bar="123`)
f(`foo bar=",123`)
f(`foo bar=a"", 123`)
// Missing field name
f("foo =123")
f("foo =123\nbar")
// Invalid timestamp
f("foo bar=123 baz")
}
func TestRowsUnmarshalSuccess(t *testing.T) {
f := func(s string, rowsExpected *Rows) {
t.Helper()
var rows Rows
if err := rows.Unmarshal(s); err != nil {
t.Fatalf("cannot unmarshal %q: %s", s, err)
}
if !reflect.DeepEqual(rows.Rows, rowsExpected.Rows) {
t.Fatalf("unexpected rows;\ngot\n%+v;\nwant\n%+v", rows.Rows, rowsExpected.Rows)
}
// Try unmarshaling again
if err := rows.Unmarshal(s); err != nil {
t.Fatalf("cannot unmarshal %q: %s", s, err)
}
if !reflect.DeepEqual(rows.Rows, rowsExpected.Rows) {
t.Fatalf("unexpected rows;\ngot\n%+v;\nwant\n%+v", rows.Rows, rowsExpected.Rows)
}
rows.Reset()
if len(rows.Rows) != 0 {
t.Fatalf("non-empty rows after reset: %+v", rows.Rows)
}
}
// Empty line
f("", &Rows{})
f("\n\n", &Rows{})
// Minimal line without tags and timestamp
f("foo bar=123", &Rows{
Rows: []Row{{
Measurement: "foo",
Fields: []Field{{
Key: "bar",
Value: 123,
}},
}},
})
f("foo bar=123\n", &Rows{
Rows: []Row{{
Measurement: "foo",
Fields: []Field{{
Key: "bar",
Value: 123,
}},
}},
})
// Line without tags and with a timestamp.
f("foo bar=123.45 -345", &Rows{
Rows: []Row{{
Measurement: "foo",
Fields: []Field{{
Key: "bar",
Value: 123.45,
}},
Timestamp: -345,
}},
})
// Line with a single tag
f("foo,tag1=xyz bar=123", &Rows{
Rows: []Row{{
Measurement: "foo",
Tags: []Tag{{
Key: "tag1",
Value: "xyz",
}},
Fields: []Field{{
Key: "bar",
Value: 123,
}},
}},
})
// Line with multiple tags
f("foo,tag1=xyz,tag2=43as bar=123", &Rows{
Rows: []Row{{
Measurement: "foo",
Tags: []Tag{
{
Key: "tag1",
Value: "xyz",
},
{
Key: "tag2",
Value: "43as",
},
},
Fields: []Field{{
Key: "bar",
Value: 123,
}},
}},
})
// Line with empty tag values
f("foo,tag1=xyz,tagN=,tag2=43as bar=123", &Rows{
Rows: []Row{{
Measurement: "foo",
Tags: []Tag{
{
Key: "tag1",
Value: "xyz",
},
{
Key: "tagN",
Value: "",
},
{
Key: "tag2",
Value: "43as",
},
},
Fields: []Field{{
Key: "bar",
Value: 123,
}},
}},
})
// Line with multiple tags, multiple fields and timestamp
f(`system,host=ip-172-16-10-144 uptime_format="3 days, 21:01" 1557761040000000000`, &Rows{
Rows: []Row{{
Measurement: "system",
Tags: []Tag{{
Key: "host",
Value: "ip-172-16-10-144",
}},
Fields: []Field{{
Key: "uptime_format",
Value: 0,
}},
Timestamp: 1557761040000000000,
}},
})
f(`foo,tag1=xyz,tag2=43as bar=-123e4,x=True,y=-45i,z=f,aa="f,= \"a",bb=23u 48934`, &Rows{
Rows: []Row{{
Measurement: "foo",
Tags: []Tag{
{
Key: "tag1",
Value: "xyz",
},
{
Key: "tag2",
Value: "43as",
},
},
Fields: []Field{
{
Key: "bar",
Value: -123e4,
},
{
Key: "x",
Value: 1,
},
{
Key: "y",
Value: -45,
},
{
Key: "z",
Value: 0,
},
{
Key: "aa",
Value: 0,
},
{
Key: "bb",
Value: 23,
},
},
Timestamp: 48934,
}},
})
// Escape chars
f(`fo\,bar\=baz,x\==\\a\,\=\q\ \\\a\=\,=4.34`, &Rows{
Rows: []Row{{
Measurement: `fo,bar=baz`,
Tags: []Tag{{
Key: `x=`,
Value: `\a,=\q `,
}},
Fields: []Field{{
Key: `\\a=,`,
Value: 4.34,
}},
}},
})
// Multiple lines
f("foo,tag=xyz field=1.23 48934\n"+
"bar x=-1i\n\n", &Rows{
Rows: []Row{
{
Measurement: "foo",
Tags: []Tag{{
Key: "tag",
Value: "xyz",
}},
Fields: []Field{{
Key: "field",
Value: 1.23,
}},
Timestamp: 48934,
},
{
Measurement: "bar",
Fields: []Field{{
Key: "x",
Value: -1,
}},
},
},
})
}

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package influx
import (
"fmt"
"testing"
)
func BenchmarkRowsUnmarshal(b *testing.B) {
s := `cpu usage_user=1.23,usage_system=4.34,usage_iowait=0.1112 1234556768`
b.SetBytes(int64(len(s)))
b.ReportAllocs()
b.RunParallel(func(pb *testing.PB) {
var rows Rows
for pb.Next() {
if err := rows.Unmarshal(s); err != nil {
panic(fmt.Errorf("cannot unmarshal %q: %s", s, err))
}
}
})
}

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package influx
import (
"bytes"
"compress/gzip"
"fmt"
"io"
"net/http"
"runtime"
"sync"
"time"
"github.com/VictoriaMetrics/VictoriaMetrics/app/vminsert/common"
"github.com/VictoriaMetrics/VictoriaMetrics/app/vminsert/concurrencylimiter"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/bytesutil"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/storage"
"github.com/VictoriaMetrics/metrics"
)
var rowsInserted = metrics.NewCounter(`vm_rows_inserted_total{type="influx"}`)
// InsertHandler processes remote write for influx line protocol.
//
// See https://github.com/influxdata/influxdb/blob/4cbdc197b8117fee648d62e2e5be75c6575352f0/tsdb/README.md
func InsertHandler(req *http.Request) error {
return concurrencylimiter.Do(func() error {
return insertHandlerInternal(req)
})
}
func insertHandlerInternal(req *http.Request) error {
influxReadCalls.Inc()
r := req.Body
if req.Header.Get("Content-Encoding") == "gzip" {
zr, err := getGzipReader(r)
if err != nil {
return fmt.Errorf("cannot read gzipped influx line protocol data: %s", err)
}
defer putGzipReader(zr)
r = zr
}
q := req.URL.Query()
tsMultiplier := int64(1e6)
switch q.Get("precision") {
case "ns":
tsMultiplier = 1e6
case "u":
tsMultiplier = 1e3
case "ms":
tsMultiplier = 1
case "s":
tsMultiplier = -1e3
case "m":
tsMultiplier = -1e3 * 60
case "h":
tsMultiplier = -1e3 * 3600
}
// Read db tag from https://docs.influxdata.com/influxdb/v1.7/tools/api/#write-http-endpoint
db := q.Get("db")
ctx := getPushCtx()
defer putPushCtx(ctx)
for ctx.Read(r, tsMultiplier) {
if err := ctx.InsertRows(db); err != nil {
return err
}
}
return ctx.Error()
}
func (ctx *pushCtx) InsertRows(db string) error {
rows := ctx.Rows.Rows
rowsLen := 0
for i := range rows {
rowsLen += len(rows[i].Tags)
}
ic := &ctx.Common
ic.Reset(rowsLen)
for i := range rows {
r := &rows[i]
ic.Labels = ic.Labels[:0]
ic.AddLabel("db", db)
for j := range r.Tags {
tag := &r.Tags[j]
ic.AddLabel(tag.Key, tag.Value)
}
ctx.metricNameBuf = storage.MarshalMetricNameRaw(ctx.metricNameBuf[:0], ic.Labels)
ctx.metricGroupBuf = append(ctx.metricGroupBuf[:0], r.Measurement...)
ctx.metricGroupBuf = append(ctx.metricGroupBuf, '.')
metricGroupPrefixLen := len(ctx.metricGroupBuf)
for j := range r.Fields {
f := &r.Fields[j]
ctx.metricGroupBuf = append(ctx.metricGroupBuf[:metricGroupPrefixLen], f.Key...)
metricGroup := bytesutil.ToUnsafeString(ctx.metricGroupBuf)
ic.Labels = ic.Labels[:0]
ic.AddLabel("", metricGroup)
ic.WriteDataPoint(ctx.metricNameBuf, ic.Labels[:1], r.Timestamp, f.Value)
}
rowsInserted.Add(len(r.Fields))
}
return ic.FlushBufs()
}
func getGzipReader(r io.Reader) (*gzip.Reader, error) {
v := gzipReaderPool.Get()
if v == nil {
return gzip.NewReader(r)
}
zr := v.(*gzip.Reader)
if err := zr.Reset(r); err != nil {
return nil, err
}
return zr, nil
}
func putGzipReader(zr *gzip.Reader) {
_ = zr.Close()
gzipReaderPool.Put(zr)
}
var gzipReaderPool sync.Pool
const maxReadPacketSize = 4 * 1024 * 1024
func (ctx *pushCtx) Read(r io.Reader, tsMultiplier int64) bool {
if ctx.err != nil {
return false
}
lr := io.LimitReader(r, maxReadPacketSize)
ctx.reqBuf.Reset()
ctx.reqBuf.B = append(ctx.reqBuf.B[:0], ctx.tailBuf...)
n, err := io.CopyBuffer(&ctx.reqBuf, lr, ctx.copyBuf[:])
if err != nil {
influxReadErrors.Inc()
ctx.err = fmt.Errorf("cannot read influx line protocol data: %s", err)
return false
}
if n < maxReadPacketSize {
// Mark the end of stream.
ctx.err = io.EOF
}
// Parse all the rows until the last newline in ctx.reqBuf.B
nn := bytes.LastIndexByte(ctx.reqBuf.B, '\n')
ctx.tailBuf = ctx.tailBuf[:0]
if nn >= 0 {
ctx.tailBuf = append(ctx.tailBuf[:0], ctx.reqBuf.B[nn+1:]...)
ctx.reqBuf.B = ctx.reqBuf.B[:nn]
}
if err = ctx.Rows.Unmarshal(bytesutil.ToUnsafeString(ctx.reqBuf.B)); err != nil {
influxUnmarshalErrors.Inc()
ctx.err = fmt.Errorf("cannot unmarshal influx line protocol data with size %d: %s", len(ctx.reqBuf.B), err)
return false
}
// Adjust timestamps according to tsMultiplier
currentTs := time.Now().UnixNano() / 1e6
if tsMultiplier >= 1 {
for i := range ctx.Rows.Rows {
row := &ctx.Rows.Rows[i]
if row.Timestamp == 0 {
row.Timestamp = currentTs
} else {
row.Timestamp /= tsMultiplier
}
}
} else if tsMultiplier < 0 {
tsMultiplier = -tsMultiplier
for i := range ctx.Rows.Rows {
row := &ctx.Rows.Rows[i]
if row.Timestamp == 0 {
row.Timestamp = currentTs
} else {
row.Timestamp *= tsMultiplier
}
}
}
return true
}
var (
influxReadCalls = metrics.NewCounter(`vm_read_calls_total{name="influx"}`)
influxReadErrors = metrics.NewCounter(`vm_read_errors_total{name="influx"}`)
influxUnmarshalErrors = metrics.NewCounter(`vm_unmarshal_errors_total{name="influx"}`)
)
type pushCtx struct {
Rows Rows
Common common.InsertCtx
reqBuf bytesutil.ByteBuffer
tailBuf []byte
copyBuf [16 * 1024]byte
metricNameBuf []byte
metricGroupBuf []byte
err error
}
func (ctx *pushCtx) Error() error {
if ctx.err == io.EOF {
return nil
}
return ctx.err
}
func (ctx *pushCtx) reset() {
ctx.Rows.Reset()
ctx.Common.Reset(0)
ctx.reqBuf.Reset()
ctx.tailBuf = ctx.tailBuf[:0]
ctx.metricNameBuf = ctx.metricNameBuf[:0]
ctx.metricGroupBuf = ctx.metricGroupBuf[:0]
ctx.err = nil
}
func getPushCtx() *pushCtx {
select {
case ctx := <-pushCtxPoolCh:
return ctx
default:
if v := pushCtxPool.Get(); v != nil {
return v.(*pushCtx)
}
return &pushCtx{}
}
}
func putPushCtx(ctx *pushCtx) {
ctx.reset()
select {
case pushCtxPoolCh <- ctx:
default:
pushCtxPool.Put(ctx)
}
}
var pushCtxPool sync.Pool
var pushCtxPoolCh = make(chan *pushCtx, runtime.GOMAXPROCS(-1))

84
app/vminsert/main.go Normal file
View File

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package vminsert
import (
"flag"
"fmt"
"net/http"
"strings"
"github.com/VictoriaMetrics/VictoriaMetrics/app/vminsert/graphite"
"github.com/VictoriaMetrics/VictoriaMetrics/app/vminsert/influx"
"github.com/VictoriaMetrics/VictoriaMetrics/app/vminsert/opentsdb"
"github.com/VictoriaMetrics/VictoriaMetrics/app/vminsert/prometheus"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/httpserver"
"github.com/VictoriaMetrics/metrics"
)
var (
graphiteListenAddr = flag.String("graphiteListenAddr", "", "TCP and UDP address to listen for Graphite plaintext data. Usually :2003 must be set. Doesn't work if empty")
opentsdbListenAddr = flag.String("opentsdbListenAddr", "", "TCP and UDP address to listen for OpentTSDB put messages. Usually :4242 must be set. Doesn't work if empty")
maxInsertRequestSize = flag.Int("maxInsertRequestSize", 32*1024*1024, "The maximum size of a single insert request in bytes")
)
// Init initializes vminsert.
func Init() {
if len(*graphiteListenAddr) > 0 {
go graphite.Serve(*graphiteListenAddr)
}
if len(*opentsdbListenAddr) > 0 {
go opentsdb.Serve(*opentsdbListenAddr)
}
}
// Stop stops vminsert.
func Stop() {
if len(*graphiteListenAddr) > 0 {
graphite.Stop()
}
if len(*opentsdbListenAddr) > 0 {
opentsdb.Stop()
}
}
// RequestHandler is a handler for Prometheus remote storage write API
func RequestHandler(w http.ResponseWriter, r *http.Request) bool {
path := strings.Replace(r.URL.Path, "//", "/", -1)
switch path {
case "/api/v1/write":
prometheusWriteRequests.Inc()
if err := prometheus.InsertHandler(r, int64(*maxInsertRequestSize)); err != nil {
prometheusWriteErrors.Inc()
httpserver.Errorf(w, "error in %q: %s", r.URL.Path, err)
return true
}
w.WriteHeader(http.StatusNoContent)
return true
case "/write", "/api/v2/write":
influxWriteRequests.Inc()
if err := influx.InsertHandler(r); err != nil {
influxWriteErrors.Inc()
httpserver.Errorf(w, "error in %q: %s", r.URL.Path, err)
return true
}
w.WriteHeader(http.StatusNoContent)
return true
case "/query":
// Emulate fake response for influx query
influxQueryRequests.Inc()
fmt.Fprintf(w, `{"results":[{"series":[{"values":[]}]}]}`)
return true
default:
// This is not our link
return false
}
}
var (
prometheusWriteRequests = metrics.NewCounter(`vm_http_requests_total{path="/api/v1/write", protocol="prometheus"}`)
prometheusWriteErrors = metrics.NewCounter(`vm_http_request_errors_total{path="/api/v1/write", protocol="prometheus"}`)
influxWriteRequests = metrics.NewCounter(`vm_http_requests_total{path="/write", protocol="influx"}`)
influxWriteErrors = metrics.NewCounter(`vm_http_request_errors_total{path="/write", protocol="influx"}`)
influxQueryRequests = metrics.NewCounter(`vm_http_requests_total{path="/query", protocol="influx"}`)
)

View File

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package opentsdb
import (
"fmt"
"strings"
"github.com/valyala/fastjson/fastfloat"
)
// Rows contains parsed OpenTSDB rows.
type Rows struct {
Rows []Row
tagsPool []Tag
}
// Reset resets rs.
func (rs *Rows) Reset() {
// Release references to objects, so they can be GC'ed.
for i := range rs.Rows {
rs.Rows[i].reset()
}
rs.Rows = rs.Rows[:0]
for i := range rs.tagsPool {
rs.tagsPool[i].reset()
}
rs.tagsPool = rs.tagsPool[:0]
}
// Unmarshal unmarshals OpenTSDB put rows from s.
//
// See http://opentsdb.net/docs/build/html/api_telnet/put.html
//
// s must be unchanged until rs is in use.
func (rs *Rows) Unmarshal(s string) error {
var err error
rs.Rows, rs.tagsPool, err = unmarshalRows(rs.Rows[:0], s, rs.tagsPool[:0])
if err != nil {
return err
}
return err
}
// Row is a single OpenTSDB row.
type Row struct {
Metric string
Tags []Tag
Value float64
Timestamp int64
}
func (r *Row) reset() {
r.Metric = ""
r.Tags = nil
r.Value = 0
r.Timestamp = 0
}
func (r *Row) unmarshal(s string, tagsPool []Tag) ([]Tag, error) {
r.reset()
if !strings.HasPrefix(s, "put ") {
return tagsPool, fmt.Errorf("missing `put ` prefix in %q", s)
}
s = s[len("put "):]
n := strings.IndexByte(s, ' ')
if n < 0 {
return tagsPool, fmt.Errorf("cannot find whitespace between metric and timestamp in %q", s)
}
r.Metric = s[:n]
tail := s[n+1:]
n = strings.IndexByte(tail, ' ')
if n < 0 {
return tagsPool, fmt.Errorf("cannot find whitespace between timestamp and value in %q", s)
}
r.Timestamp = int64(fastfloat.ParseBestEffort(tail[:n]))
tail = tail[n+1:]
n = strings.IndexByte(tail, ' ')
if n < 0 {
return tagsPool, fmt.Errorf("cannot find whitespace between value and the first tag in %q", s)
}
r.Value = fastfloat.ParseBestEffort(tail[:n])
var err error
tagsStart := len(tagsPool)
tagsPool, err = unmarshalTags(tagsPool, tail[n+1:])
if err != nil {
return tagsPool, fmt.Errorf("cannot unmarshal tags in %q: %s", s, err)
}
tags := tagsPool[tagsStart:]
r.Tags = tags[:len(tags):len(tags)]
return tagsPool, nil
}
func unmarshalRows(dst []Row, s string, tagsPool []Tag) ([]Row, []Tag, error) {
for len(s) > 0 {
n := strings.IndexByte(s, '\n')
if n == 0 {
// Skip empty line
s = s[1:]
continue
}
if cap(dst) > len(dst) {
dst = dst[:len(dst)+1]
} else {
dst = append(dst, Row{})
}
r := &dst[len(dst)-1]
if n < 0 {
// The last line.
var err error
tagsPool, err = r.unmarshal(s, tagsPool)
if err != nil {
return dst, tagsPool, err
}
return dst, tagsPool, nil
}
var err error
tagsPool, err = r.unmarshal(s[:n], tagsPool)
if err != nil {
return dst, tagsPool, err
}
s = s[n+1:]
}
return dst, tagsPool, nil
}
func unmarshalTags(dst []Tag, s string) ([]Tag, error) {
for {
if cap(dst) > len(dst) {
dst = dst[:len(dst)+1]
} else {
dst = append(dst, Tag{})
}
tag := &dst[len(dst)-1]
n := strings.IndexByte(s, ' ')
if n < 0 {
// The last tag found
if err := tag.unmarshal(s); err != nil {
return dst[:len(dst)-1], err
}
return dst, nil
}
if err := tag.unmarshal(s[:n]); err != nil {
return dst[:len(dst)-1], err
}
s = s[n+1:]
}
}
// Tag is an OpenTSDB tag.
type Tag struct {
Key string
Value string
}
func (t *Tag) reset() {
t.Key = ""
t.Value = ""
}
func (t *Tag) unmarshal(s string) error {
t.reset()
n := strings.IndexByte(s, '=')
if n < 0 {
return fmt.Errorf("missing tag value for %q", s)
}
t.Key = s[:n]
if len(t.Key) == 0 {
return fmt.Errorf("tag key cannot be empty for %q", s)
}
t.Value = s[n+1:]
return nil
}

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package opentsdb
import (
"reflect"
"testing"
)
func TestRowsUnmarshalFailure(t *testing.T) {
f := func(s string) {
t.Helper()
var rows Rows
if err := rows.Unmarshal(s); err == nil {
t.Fatalf("expecting non-nil error when parsing %q", s)
}
// Try again
if err := rows.Unmarshal(s); err == nil {
t.Fatalf("expecting non-nil error when parsing %q", s)
}
}
// Missing put prefix
f("xx")
// Missing timestamp
f("put aaa")
// Missing value
f("put aaa 1123")
// Invalid timestamp
f("put aaa timestamp")
// Missing first tag
f("put aaa 123 43")
// Invalid value
f("put aaa 123 invalid-value")
// Invalid multiline
f("put aaa\nbbb 123 34")
// Invalid tag
f("put aaa 123 4.5 foo")
f("put aaa 123 4.5 =")
f("put aaa 123 4.5 =foo")
f("put aaa 123 4.5 =foo a=b")
}
func TestRowsUnmarshalSuccess(t *testing.T) {
f := func(s string, rowsExpected *Rows) {
t.Helper()
var rows Rows
if err := rows.Unmarshal(s); err != nil {
t.Fatalf("cannot unmarshal %q: %s", s, err)
}
if !reflect.DeepEqual(rows.Rows, rowsExpected.Rows) {
t.Fatalf("unexpected rows;\ngot\n%+v;\nwant\n%+v", rows.Rows, rowsExpected.Rows)
}
// Try unmarshaling again
if err := rows.Unmarshal(s); err != nil {
t.Fatalf("cannot unmarshal %q: %s", s, err)
}
if !reflect.DeepEqual(rows.Rows, rowsExpected.Rows) {
t.Fatalf("unexpected rows;\ngot\n%+v;\nwant\n%+v", rows.Rows, rowsExpected.Rows)
}
rows.Reset()
if len(rows.Rows) != 0 {
t.Fatalf("non-empty rows after reset: %+v", rows.Rows)
}
}
// Empty line
f("", &Rows{})
f("\n\n", &Rows{})
// Single line
f("put foobar 789 -123.456 a=b", &Rows{
Rows: []Row{{
Metric: "foobar",
Value: -123.456,
Timestamp: 789,
Tags: []Tag{{
Key: "a",
Value: "b",
}},
}},
})
// Empty tag value
f("put foobar 789 -123.456 a= b=c", &Rows{
Rows: []Row{{
Metric: "foobar",
Value: -123.456,
Timestamp: 789,
Tags: []Tag{
{
Key: "a",
Value: "",
},
{
Key: "b",
Value: "c",
},
},
}},
})
// Fractional timestamp that is supported by Akumuli.
f("put foobar 789.4 -123.456 a=b", &Rows{
Rows: []Row{{
Metric: "foobar",
Value: -123.456,
Timestamp: 789,
Tags: []Tag{{
Key: "a",
Value: "b",
}},
}},
})
f("put foo.bar 789 123.456 a=b\n", &Rows{
Rows: []Row{{
Metric: "foo.bar",
Value: 123.456,
Timestamp: 789,
Tags: []Tag{{
Key: "a",
Value: "b",
}},
}},
})
// Tags
f("put foo 2 1 bar=baz", &Rows{
Rows: []Row{{
Metric: "foo",
Tags: []Tag{{
Key: "bar",
Value: "baz",
}},
Value: 1,
Timestamp: 2,
}},
})
f("put foo 2 1 bar=baz x=y", &Rows{
Rows: []Row{{
Metric: "foo",
Tags: []Tag{
{
Key: "bar",
Value: "baz",
},
{
Key: "x",
Value: "y",
},
},
Value: 1,
Timestamp: 2,
}},
})
f("put foo 2 1 bar=baz=aaa x=y", &Rows{
Rows: []Row{{
Metric: "foo",
Tags: []Tag{
{
Key: "bar",
Value: "baz=aaa",
},
{
Key: "x",
Value: "y",
},
},
Value: 1,
Timestamp: 2,
}},
})
// Multi lines
f("put foo 2 0.3 a=b\nput bar.baz 43 0.34 a=b\n", &Rows{
Rows: []Row{
{
Metric: "foo",
Value: 0.3,
Timestamp: 2,
Tags: []Tag{{
Key: "a",
Value: "b",
}},
},
{
Metric: "bar.baz",
Value: 0.34,
Timestamp: 43,
Tags: []Tag{{
Key: "a",
Value: "b",
}},
},
},
})
}

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package opentsdb
import (
"fmt"
"testing"
)
func BenchmarkRowsUnmarshal(b *testing.B) {
s := `cpu.usage_user 1234556768 1.23 a=b
cpu.usage_system 1234556768 23.344 a=b
cpu.usage_iowait 1234556769 3.3443 a=b
cpu.usage_irq 1234556768 0.34432 a=b
`
b.SetBytes(int64(len(s)))
b.ReportAllocs()
b.RunParallel(func(pb *testing.PB) {
var rows Rows
for pb.Next() {
if err := rows.Unmarshal(s); err != nil {
panic(fmt.Errorf("cannot unmarshal %q: %s", s, err))
}
}
})
}

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package opentsdb
import (
"bytes"
"fmt"
"io"
"net"
"runtime"
"sync"
"time"
"github.com/VictoriaMetrics/VictoriaMetrics/app/vminsert/common"
"github.com/VictoriaMetrics/VictoriaMetrics/app/vminsert/concurrencylimiter"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/bytesutil"
"github.com/VictoriaMetrics/metrics"
)
var rowsInserted = metrics.NewCounter(`vm_rows_inserted_total{type="opentsdb"}`)
// insertHandler processes remote write for OpenTSDB put protocol.
//
// See http://opentsdb.net/docs/build/html/api_telnet/put.html
func insertHandler(r io.Reader) error {
return concurrencylimiter.Do(func() error {
return insertHandlerInternal(r)
})
}
func insertHandlerInternal(r io.Reader) error {
ctx := getPushCtx()
defer putPushCtx(ctx)
for ctx.Read(r) {
if err := ctx.InsertRows(); err != nil {
return err
}
}
return ctx.Error()
}
func (ctx *pushCtx) InsertRows() error {
rows := ctx.Rows.Rows
ic := &ctx.Common
ic.Reset(len(rows))
for i := range rows {
r := &rows[i]
ic.Labels = ic.Labels[:0]
ic.AddLabel("", r.Metric)
for j := range r.Tags {
tag := &r.Tags[j]
ic.AddLabel(tag.Key, tag.Value)
}
ic.WriteDataPoint(nil, ic.Labels, r.Timestamp, r.Value)
}
rowsInserted.Add(len(rows))
return ic.FlushBufs()
}
const maxReadPacketSize = 4 * 1024 * 1024
const flushTimeout = 3 * time.Second
func (ctx *pushCtx) Read(r io.Reader) bool {
opentsdbReadCalls.Inc()
if ctx.err != nil {
return false
}
if c, ok := r.(net.Conn); ok {
if err := c.SetReadDeadline(time.Now().Add(flushTimeout)); err != nil {
opentsdbReadErrors.Inc()
ctx.err = fmt.Errorf("cannot set read deadline: %s", err)
return false
}
}
lr := io.LimitReader(r, maxReadPacketSize)
ctx.reqBuf.Reset()
ctx.reqBuf.B = append(ctx.reqBuf.B[:0], ctx.tailBuf...)
n, err := io.CopyBuffer(&ctx.reqBuf, lr, ctx.copyBuf[:])
if err != nil {
if ne, ok := err.(net.Error); ok && ne.Timeout() {
// Flush the read data on timeout and try reading again.
} else {
opentsdbReadErrors.Inc()
ctx.err = fmt.Errorf("cannot read OpenTSDB put protocol data: %s", err)
return false
}
} else if n < maxReadPacketSize {
// Mark the end of stream.
ctx.err = io.EOF
}
// Parse all the rows until the last newline in ctx.reqBuf.B
nn := bytes.LastIndexByte(ctx.reqBuf.B, '\n')
ctx.tailBuf = ctx.tailBuf[:0]
if nn >= 0 {
ctx.tailBuf = append(ctx.tailBuf[:0], ctx.reqBuf.B[nn+1:]...)
ctx.reqBuf.B = ctx.reqBuf.B[:nn]
}
if err = ctx.Rows.Unmarshal(bytesutil.ToUnsafeString(ctx.reqBuf.B)); err != nil {
opentsdbUnmarshalErrors.Inc()
ctx.err = fmt.Errorf("cannot unmarshal OpenTSDB put protocol data with size %d: %s", len(ctx.reqBuf.B), err)
return false
}
// Convert timestamps from seconds to milliseconds
for i := range ctx.Rows.Rows {
ctx.Rows.Rows[i].Timestamp *= 1e3
}
return true
}
type pushCtx struct {
Rows Rows
Common common.InsertCtx
reqBuf bytesutil.ByteBuffer
tailBuf []byte
copyBuf [16 * 1024]byte
err error
}
func (ctx *pushCtx) Error() error {
if ctx.err == io.EOF {
return nil
}
return ctx.err
}
func (ctx *pushCtx) reset() {
ctx.Rows.Reset()
ctx.Common.Reset(0)
ctx.reqBuf.Reset()
ctx.tailBuf = ctx.tailBuf[:0]
ctx.err = nil
}
var (
opentsdbReadCalls = metrics.NewCounter(`vm_read_calls_total{name="opentsdb"}`)
opentsdbReadErrors = metrics.NewCounter(`vm_read_errors_total{name="opentsdb"}`)
opentsdbUnmarshalErrors = metrics.NewCounter(`vm_unmarshal_errors_total{name="opentsdb"}`)
)
func getPushCtx() *pushCtx {
select {
case ctx := <-pushCtxPoolCh:
return ctx
default:
if v := pushCtxPool.Get(); v != nil {
return v.(*pushCtx)
}
return &pushCtx{}
}
}
func putPushCtx(ctx *pushCtx) {
ctx.reset()
select {
case pushCtxPoolCh <- ctx:
default:
pushCtxPool.Put(ctx)
}
}
var pushCtxPool sync.Pool
var pushCtxPoolCh = make(chan *pushCtx, runtime.GOMAXPROCS(-1))

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package opentsdb
import (
"net"
"runtime"
"strings"
"sync"
"time"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/bytesutil"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/logger"
"github.com/VictoriaMetrics/metrics"
)
var (
writeRequestsTCP = metrics.NewCounter(`vm_opentsdb_requests_total{name="write", net="tcp"}`)
writeErrorsTCP = metrics.NewCounter(`vm_opentsdb_request_errors_total{name="write", net="tcp"}`)
writeRequestsUDP = metrics.NewCounter(`vm_opentsdb_requests_total{name="write", net="udp"}`)
writeErrorsUDP = metrics.NewCounter(`vm_opentsdb_request_errors_total{name="write", net="udp"}`)
)
// Serve starts OpenTSDB collector on the given addr.
func Serve(addr string) {
logger.Infof("starting TCP OpenTSDB collector at %q", addr)
lnTCP, err := net.Listen("tcp4", addr)
if err != nil {
logger.Fatalf("cannot start TCP OpenTSDB collector at %q: %s", addr, err)
}
listenerTCP = lnTCP
logger.Infof("starting UDP OpenTSDB collector at %q", addr)
lnUDP, err := net.ListenPacket("udp4", addr)
if err != nil {
logger.Fatalf("cannot start UDP OpenTSDB collector at %q: %s", addr, err)
}
listenerUDP = lnUDP
var wg sync.WaitGroup
wg.Add(1)
go func() {
defer wg.Done()
serveTCP(listenerTCP)
logger.Infof("stopped TCP OpenTSDB collector at %q", addr)
}()
wg.Add(1)
go func() {
defer wg.Done()
serveUDP(listenerUDP)
logger.Infof("stopped UDP OpenTSDB collector at %q", addr)
}()
wg.Wait()
}
func serveTCP(ln net.Listener) {
for {
c, err := ln.Accept()
if err != nil {
if ne, ok := err.(net.Error); ok {
if ne.Temporary() {
time.Sleep(time.Second)
continue
}
if strings.Contains(err.Error(), "use of closed network connection") {
break
}
logger.Fatalf("unrecoverable error when accepting TCP OpenTSDB connections: %s", err)
}
logger.Fatalf("unexpected error when accepting TCP OpenTSDB connections: %s", err)
}
go func() {
writeRequestsTCP.Inc()
if err := insertHandler(c); err != nil {
writeErrorsTCP.Inc()
logger.Errorf("error in TCP OpenTSDB conn %q<->%q: %s", c.LocalAddr(), c.RemoteAddr(), err)
}
_ = c.Close()
}()
}
}
func serveUDP(ln net.PacketConn) {
gomaxprocs := runtime.GOMAXPROCS(-1)
var wg sync.WaitGroup
for i := 0; i < gomaxprocs; i++ {
wg.Add(1)
go func() {
defer wg.Done()
var bb bytesutil.ByteBuffer
bb.B = bytesutil.Resize(bb.B, 64*1024)
for {
bb.Reset()
bb.B = bb.B[:cap(bb.B)]
n, addr, err := ln.ReadFrom(bb.B)
if err != nil {
writeErrorsUDP.Inc()
if ne, ok := err.(net.Error); ok {
if ne.Temporary() {
time.Sleep(time.Second)
continue
}
if strings.Contains(err.Error(), "use of closed network connection") {
break
}
}
logger.Errorf("cannot read OpenTSDB UDP data: %s", err)
continue
}
bb.B = bb.B[:n]
writeRequestsUDP.Inc()
if err := insertHandler(bb.NewReader()); err != nil {
writeErrorsUDP.Inc()
logger.Errorf("error in UDP OpenTSDB conn %q<->%q: %s", ln.LocalAddr(), addr, err)
continue
}
}
}()
}
wg.Wait()
}
var (
listenerTCP net.Listener
listenerUDP net.PacketConn
)
// Stop stops the server.
func Stop() {
logger.Infof("stopping TCP OpenTSDB server at %q...", listenerTCP.Addr())
if err := listenerTCP.Close(); err != nil {
logger.Errorf("cannot close TCP OpenTSDB server: %s", err)
}
logger.Infof("stopping UDP OpenTSDB server at %q...", listenerUDP.LocalAddr())
if err := listenerUDP.Close(); err != nil {
logger.Errorf("cannot close UDP OpenTSDB server: %s", err)
}
}

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package prometheus
import (
"fmt"
"net/http"
"runtime"
"sync"
"github.com/VictoriaMetrics/VictoriaMetrics/app/vminsert/common"
"github.com/VictoriaMetrics/VictoriaMetrics/app/vminsert/concurrencylimiter"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/prompb"
"github.com/VictoriaMetrics/metrics"
)
var rowsInserted = metrics.NewCounter(`vm_rows_inserted_total{type="prometheus"}`)
// InsertHandler processes remote write for prometheus.
func InsertHandler(r *http.Request, maxSize int64) error {
return concurrencylimiter.Do(func() error {
return insertHandlerInternal(r, maxSize)
})
}
func insertHandlerInternal(r *http.Request, maxSize int64) error {
ctx := getPushCtx()
defer putPushCtx(ctx)
if err := ctx.Read(r, maxSize); err != nil {
return err
}
timeseries := ctx.req.Timeseries
rowsLen := 0
for i := range timeseries {
rowsLen += len(timeseries[i].Samples)
}
ic := &ctx.Common
ic.Reset(rowsLen)
for i := range timeseries {
ts := &timeseries[i]
var metricNameRaw []byte
for i := range ts.Samples {
r := &ts.Samples[i]
metricNameRaw = ic.WriteDataPointExt(metricNameRaw, ts.Labels, r.Timestamp, r.Value)
}
rowsInserted.Add(len(ts.Samples))
}
return ic.FlushBufs()
}
type pushCtx struct {
Common common.InsertCtx
req prompb.WriteRequest
reqBuf []byte
}
func (ctx *pushCtx) reset() {
ctx.Common.Reset(0)
ctx.req.Reset()
ctx.reqBuf = ctx.reqBuf[:0]
}
func (ctx *pushCtx) Read(r *http.Request, maxSize int64) error {
prometheusReadCalls.Inc()
var err error
ctx.reqBuf, err = prompb.ReadSnappy(ctx.reqBuf[:0], r.Body, maxSize)
if err != nil {
prometheusReadErrors.Inc()
return fmt.Errorf("cannot read prompb.WriteRequest: %s", err)
}
if err = ctx.req.Unmarshal(ctx.reqBuf); err != nil {
prometheusUnmarshalErrors.Inc()
return fmt.Errorf("cannot unmarshal prompb.WriteRequest with size %d bytes: %s", len(ctx.reqBuf), err)
}
return nil
}
var (
prometheusReadCalls = metrics.NewCounter(`vm_read_calls_total{name="prometheus"}`)
prometheusReadErrors = metrics.NewCounter(`vm_read_errors_total{name="prometheus"}`)
prometheusUnmarshalErrors = metrics.NewCounter(`vm_unmarshal_errors_total{name="prometheus"}`)
)
func getPushCtx() *pushCtx {
select {
case ctx := <-pushCtxPoolCh:
return ctx
default:
if v := pushCtxPool.Get(); v != nil {
return v.(*pushCtx)
}
return &pushCtx{}
}
}
func putPushCtx(ctx *pushCtx) {
ctx.reset()
select {
case pushCtxPoolCh <- ctx:
default:
pushCtxPool.Put(ctx)
}
}
var pushCtxPool sync.Pool
var pushCtxPoolCh = make(chan *pushCtx, runtime.GOMAXPROCS(-1))

2
app/vmselect/README.md Normal file
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`vmselect` performs the incoming queries and fetches the required data
from `vmstorage`.

189
app/vmselect/main.go Normal file
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package vmselect
import (
"flag"
"net/http"
"runtime"
"strings"
"time"
"github.com/VictoriaMetrics/VictoriaMetrics/app/vmselect/netstorage"
"github.com/VictoriaMetrics/VictoriaMetrics/app/vmselect/prometheus"
"github.com/VictoriaMetrics/VictoriaMetrics/app/vmselect/promql"
"github.com/VictoriaMetrics/VictoriaMetrics/app/vmstorage"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/fs"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/httpserver"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/logger"
"github.com/VictoriaMetrics/metrics"
)
var (
deleteAuthKey = flag.String("deleteAuthKey", "", "authKey for metrics' deletion via /api/v1/admin/tsdb/delete_series")
maxConcurrentRequests = flag.Int("search.maxConcurrentRequests", runtime.GOMAXPROCS(-1)*2, "The maximum number of concurrent search requests. It shouldn't exceed 2*vCPUs for better performance. See also -search.maxQueueDuration")
maxQueueDuration = flag.Duration("search.maxQueueDuration", 10*time.Second, "The maximum time the request waits for execution when -search.maxConcurrentRequests limit is reached")
)
// Init initializes vmselect
func Init() {
tmpDirPath := *vmstorage.DataPath + "/tmp"
fs.RemoveDirContents(tmpDirPath)
netstorage.InitTmpBlocksDir(tmpDirPath)
promql.InitRollupResultCache(*vmstorage.DataPath + "/cache/rollupResult")
concurrencyCh = make(chan struct{}, *maxConcurrentRequests)
}
var concurrencyCh chan struct{}
// Stop stops vmselect
func Stop() {
promql.StopRollupResultCache()
}
// RequestHandler handles remote read API requests for Prometheus
func RequestHandler(w http.ResponseWriter, r *http.Request) bool {
// Limit the number of concurrent queries.
// Sleep for a second until giving up. This should resolve short bursts in requests.
t := time.NewTimer(*maxQueueDuration)
select {
case concurrencyCh <- struct{}{}:
t.Stop()
defer func() { <-concurrencyCh }()
case <-t.C:
httpserver.Errorf(w, "cannot handle more than %d concurrent requests", cap(concurrencyCh))
return true
}
path := strings.Replace(r.URL.Path, "//", "/", -1)
if strings.HasPrefix(path, "/api/v1/label/") {
s := r.URL.Path[len("/api/v1/label/"):]
if strings.HasSuffix(s, "/values") {
labelValuesRequests.Inc()
labelName := s[:len(s)-len("/values")]
httpserver.EnableCORS(w, r)
if err := prometheus.LabelValuesHandler(labelName, w, r); err != nil {
labelValuesErrors.Inc()
sendPrometheusError(w, r, err)
return true
}
return true
}
}
switch path {
case "/api/v1/query":
queryRequests.Inc()
httpserver.EnableCORS(w, r)
if err := prometheus.QueryHandler(w, r); err != nil {
queryErrors.Inc()
sendPrometheusError(w, r, err)
return true
}
return true
case "/api/v1/query_range":
queryRangeRequests.Inc()
httpserver.EnableCORS(w, r)
if err := prometheus.QueryRangeHandler(w, r); err != nil {
queryRangeErrors.Inc()
sendPrometheusError(w, r, err)
return true
}
return true
case "/api/v1/series":
seriesRequests.Inc()
httpserver.EnableCORS(w, r)
if err := prometheus.SeriesHandler(w, r); err != nil {
seriesErrors.Inc()
sendPrometheusError(w, r, err)
return true
}
return true
case "/api/v1/series/count":
seriesCountRequests.Inc()
httpserver.EnableCORS(w, r)
if err := prometheus.SeriesCountHandler(w, r); err != nil {
seriesCountErrors.Inc()
sendPrometheusError(w, r, err)
return true
}
return true
case "/api/v1/labels":
labelsRequests.Inc()
httpserver.EnableCORS(w, r)
if err := prometheus.LabelsHandler(w, r); err != nil {
labelsErrors.Inc()
sendPrometheusError(w, r, err)
return true
}
return true
case "/api/v1/export":
exportRequests.Inc()
if err := prometheus.ExportHandler(w, r); err != nil {
exportErrors.Inc()
httpserver.Errorf(w, "error in %q: %s", r.URL.Path, err)
return true
}
return true
case "/federate":
federateRequests.Inc()
if err := prometheus.FederateHandler(w, r); err != nil {
federateErrors.Inc()
httpserver.Errorf(w, "error int %q: %s", r.URL.Path, err)
return true
}
return true
case "/api/v1/admin/tsdb/delete_series":
deleteRequests.Inc()
authKey := r.FormValue("authKey")
if authKey != *deleteAuthKey {
httpserver.Errorf(w, "invalid authKey %q. It must match the value from -deleteAuthKey command line flag", authKey)
return true
}
if err := prometheus.DeleteHandler(r); err != nil {
deleteErrors.Inc()
httpserver.Errorf(w, "error in %q: %s", r.URL.Path, err)
return true
}
w.WriteHeader(http.StatusNoContent)
return true
default:
return false
}
}
func sendPrometheusError(w http.ResponseWriter, r *http.Request, err error) {
logger.Errorf("error in %q: %s", r.URL.Path, err)
w.Header().Set("Content-Type", "application/json")
statusCode := 422
w.WriteHeader(statusCode)
prometheus.WriteErrorResponse(w, statusCode, err)
}
var (
labelValuesRequests = metrics.NewCounter(`vm_http_requests_total{path="/api/v1/label/{}/values"}`)
labelValuesErrors = metrics.NewCounter(`vm_http_request_errors_total{path="/api/v1/label/{}/values"}`)
queryRequests = metrics.NewCounter(`vm_http_requests_total{path="/api/v1/query"}`)
queryErrors = metrics.NewCounter(`vm_http_request_errors_total{path="/api/v1/query"}`)
queryRangeRequests = metrics.NewCounter(`vm_http_requests_total{path="/api/v1/query_range"}`)
queryRangeErrors = metrics.NewCounter(`vm_http_request_errors_total{path="/api/v1/query_range"}`)
seriesRequests = metrics.NewCounter(`vm_http_requests_total{path="/api/v1/series"}`)
seriesErrors = metrics.NewCounter(`vm_http_request_errors_total{path="/api/v1/series"}`)
seriesCountRequests = metrics.NewCounter(`vm_http_requests_total{path="/api/v1/series/count"}`)
seriesCountErrors = metrics.NewCounter(`vm_http_request_errors_total{path="/api/v1/series/count"}`)
labelsRequests = metrics.NewCounter(`vm_http_requests_total{path="/api/v1/labels"}`)
labelsErrors = metrics.NewCounter(`vm_http_request_errors_total{path="/api/v1/labels"}`)
deleteRequests = metrics.NewCounter(`vm_http_requests_total{path="/api/v1/admin/tsdb/delete_series"}`)
deleteErrors = metrics.NewCounter(`vm_http_request_errors_total{path="/api/v1/admin/tsdb/delete_series"}`)
exportRequests = metrics.NewCounter(`vm_http_requests_total{path="/api/v1/export"}`)
exportErrors = metrics.NewCounter(`vm_http_request_errors_total{path="/api/v1/export"}`)
federateRequests = metrics.NewCounter(`vm_http_requests_total{path="/federate"}`)
federateErrors = metrics.NewCounter(`vm_http_request_errors_total{path="/federate"}`)
)

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@ -0,0 +1,9 @@
package netstorage
import (
"os"
)
func mustFadviseRandomRead(f *os.File) {
// Do nothing :)
}

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@ -0,0 +1,15 @@
package netstorage
import (
"os"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/logger"
"golang.org/x/sys/unix"
)
func mustFadviseRandomRead(f *os.File) {
fd := int(f.Fd())
if err := unix.Fadvise(int(fd), 0, 0, unix.FADV_RANDOM|unix.FADV_WILLNEED); err != nil {
logger.Panicf("FATAL: error returned from unix.Fadvise(RANDOM|WILLNEED): %s", err)
}
}

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package netstorage
import (
"container/heap"
"flag"
"fmt"
"runtime"
"sort"
"sync"
"sync/atomic"
"time"
"github.com/VictoriaMetrics/VictoriaMetrics/app/vmstorage"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/bytesutil"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/decimal"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/logger"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/storage"
"github.com/VictoriaMetrics/metrics"
)
var (
maxTagKeysPerSearch = flag.Int("search.maxTagKeys", 10e3, "The maximum number of tag keys returned per search")
maxTagValuesPerSearch = flag.Int("search.maxTagValues", 10e3, "The maximum number of tag values returned per search")
maxMetricsPerSearch = flag.Int("search.maxUniqueTimeseries", 100e3, "The maximum number of unique time series each search can scan")
)
// Result is a single timeseries result.
//
// ProcessSearchQuery returns Result slice.
type Result struct {
// The name of the metric.
MetricName storage.MetricName
// Values are sorted by Timestamps.
Values []float64
Timestamps []int64
// Marshaled MetricName. Used only for results sorting
// in app/vmselect/promql
MetricNameMarshaled []byte
}
func (r *Result) reset() {
r.MetricName.Reset()
r.Values = r.Values[:0]
r.Timestamps = r.Timestamps[:0]
r.MetricNameMarshaled = r.MetricNameMarshaled[:0]
}
// Results holds results returned from ProcessSearchQuery.
type Results struct {
tr storage.TimeRange
deadline Deadline
tbf *tmpBlocksFile
packedTimeseries []packedTimeseries
}
// Len returns the number of results in rss.
func (rss *Results) Len() int {
return len(rss.packedTimeseries)
}
// Cancel cancels rss work.
func (rss *Results) Cancel() {
putTmpBlocksFile(rss.tbf)
rss.tbf = nil
}
// RunParallel runs in parallel f for all the results from rss.
//
// f shouldn't hold references to rs after returning.
//
// rss becomes unusable after the call to RunParallel.
func (rss *Results) RunParallel(f func(rs *Result)) error {
defer func() {
putTmpBlocksFile(rss.tbf)
rss.tbf = nil
}()
workersCount := 1 + len(rss.packedTimeseries)/32
if workersCount > gomaxprocs {
workersCount = gomaxprocs
}
if workersCount == 0 {
logger.Panicf("BUG: workersCount cannot be zero")
}
workCh := make(chan *packedTimeseries, workersCount)
doneCh := make(chan error)
// Start workers.
for i := 0; i < workersCount; i++ {
go func() {
rs := getResult()
defer putResult(rs)
maxWorkersCount := gomaxprocs / workersCount
var err error
for pts := range workCh {
if time.Until(rss.deadline.Deadline) < 0 {
err = fmt.Errorf("timeout exceeded during query execution: %s", rss.deadline.Timeout)
break
}
if err = pts.Unpack(rss.tbf, rs, rss.tr, maxWorkersCount); err != nil {
break
}
if len(rs.Timestamps) == 0 {
// Skip empty blocks.
continue
}
f(rs)
}
// Drain the remaining work
for range workCh {
}
doneCh <- err
}()
}
// Feed workers with work.
for i := range rss.packedTimeseries {
workCh <- &rss.packedTimeseries[i]
}
rss.packedTimeseries = rss.packedTimeseries[:0]
close(workCh)
// Wait until workers finish.
var errors []error
for i := 0; i < workersCount; i++ {
if err := <-doneCh; err != nil {
errors = append(errors, err)
}
}
if len(errors) > 0 {
// Return just the first error, since other errors
// is likely duplicate the first error.
return errors[0]
}
return nil
}
var gomaxprocs = runtime.GOMAXPROCS(-1)
type packedTimeseries struct {
metricName string
addrs []tmpBlockAddr
}
// Unpack unpacks pts to dst.
func (pts *packedTimeseries) Unpack(tbf *tmpBlocksFile, dst *Result, tr storage.TimeRange, maxWorkersCount int) error {
dst.reset()
if err := dst.MetricName.Unmarshal(bytesutil.ToUnsafeBytes(pts.metricName)); err != nil {
return fmt.Errorf("cannot unmarshal metricName %q: %s", pts.metricName, err)
}
workersCount := 1 + len(pts.addrs)/32
if workersCount > maxWorkersCount {
workersCount = maxWorkersCount
}
if workersCount == 0 {
logger.Panicf("BUG: workersCount cannot be zero")
}
sbs := make([]*sortBlock, 0, len(pts.addrs))
var sbsLock sync.Mutex
workCh := make(chan tmpBlockAddr, workersCount)
doneCh := make(chan error)
// Start workers
for i := 0; i < workersCount; i++ {
go func() {
var err error
for addr := range workCh {
sb := getSortBlock()
if err = sb.unpackFrom(tbf, addr, tr); err != nil {
break
}
sbsLock.Lock()
sbs = append(sbs, sb)
sbsLock.Unlock()
}
// Drain the remaining work
for range workCh {
}
doneCh <- err
}()
}
// Feed workers with work
for _, addr := range pts.addrs {
workCh <- addr
}
pts.addrs = pts.addrs[:0]
close(workCh)
// Wait until workers finish
var errors []error
for i := 0; i < workersCount; i++ {
if err := <-doneCh; err != nil {
errors = append(errors, err)
}
}
if len(errors) > 0 {
// Return the first error only, since other errors are likely the same.
return errors[0]
}
// Merge blocks
mergeSortBlocks(dst, sbs)
return nil
}
func getSortBlock() *sortBlock {
v := sbPool.Get()
if v == nil {
return &sortBlock{}
}
return v.(*sortBlock)
}
func putSortBlock(sb *sortBlock) {
sb.reset()
sbPool.Put(sb)
}
var sbPool sync.Pool
var metricRowsSkipped = metrics.NewCounter(`vm_metric_rows_skipped_total{name="vmselect"}`)
func mergeSortBlocks(dst *Result, sbh sortBlocksHeap) {
// Skip empty sort blocks, since they cannot be passed to heap.Init.
src := sbh
sbh = sbh[:0]
for _, sb := range src {
if len(sb.Timestamps) == 0 {
putSortBlock(sb)
continue
}
sbh = append(sbh, sb)
}
if len(sbh) == 0 {
return
}
heap.Init(&sbh)
for {
top := sbh[0]
heap.Pop(&sbh)
if len(sbh) == 0 {
dst.Timestamps = append(dst.Timestamps, top.Timestamps[top.NextIdx:]...)
dst.Values = append(dst.Values, top.Values[top.NextIdx:]...)
putSortBlock(top)
return
}
sbNext := sbh[0]
tsNext := sbNext.Timestamps[sbNext.NextIdx]
idxNext := len(top.Timestamps)
if top.Timestamps[idxNext-1] > tsNext {
idxNext = top.NextIdx
for top.Timestamps[idxNext] <= tsNext {
idxNext++
}
}
dst.Timestamps = append(dst.Timestamps, top.Timestamps[top.NextIdx:idxNext]...)
dst.Values = append(dst.Values, top.Values[top.NextIdx:idxNext]...)
if idxNext < len(top.Timestamps) {
top.NextIdx = idxNext
heap.Push(&sbh, top)
} else {
// Return top to the pool.
putSortBlock(top)
}
}
}
type sortBlock struct {
// b is used as a temporary storage for unpacked rows before they
// go to Timestamps and Values.
b storage.Block
Timestamps []int64
Values []float64
NextIdx int
}
func (sb *sortBlock) reset() {
sb.b.Reset()
sb.Timestamps = sb.Timestamps[:0]
sb.Values = sb.Values[:0]
sb.NextIdx = 0
}
func (sb *sortBlock) unpackFrom(tbf *tmpBlocksFile, addr tmpBlockAddr, tr storage.TimeRange) error {
tbf.MustReadBlockAt(&sb.b, addr)
if err := sb.b.UnmarshalData(); err != nil {
return fmt.Errorf("cannot unmarshal block: %s", err)
}
timestamps := sb.b.Timestamps()
// Skip timestamps smaller than tr.MinTimestamp.
i := 0
for i < len(timestamps) && timestamps[i] < tr.MinTimestamp {
i++
}
// Skip timestamps bigger than tr.MaxTimestamp.
j := len(timestamps)
for j > i && timestamps[j-1] > tr.MaxTimestamp {
j--
}
skippedRows := sb.b.RowsCount() - (j - i)
metricRowsSkipped.Add(skippedRows)
// Copy the remaining values.
if i == j {
return nil
}
values := sb.b.Values()
sb.Timestamps = append(sb.Timestamps, timestamps[i:j]...)
sb.Values = decimal.AppendDecimalToFloat(sb.Values, values[i:j], sb.b.Scale())
return nil
}
type sortBlocksHeap []*sortBlock
func (sbh sortBlocksHeap) Len() int {
return len(sbh)
}
func (sbh sortBlocksHeap) Less(i, j int) bool {
a := sbh[i]
b := sbh[j]
return a.Timestamps[a.NextIdx] < b.Timestamps[b.NextIdx]
}
func (sbh sortBlocksHeap) Swap(i, j int) {
sbh[i], sbh[j] = sbh[j], sbh[i]
}
func (sbh *sortBlocksHeap) Push(x interface{}) {
*sbh = append(*sbh, x.(*sortBlock))
}
func (sbh *sortBlocksHeap) Pop() interface{} {
a := *sbh
v := a[len(a)-1]
*sbh = a[:len(a)-1]
return v
}
// DeleteSeries deletes time series matching the given tagFilterss.
func DeleteSeries(sq *storage.SearchQuery) (int, error) {
tfss, err := setupTfss(sq.TagFilterss)
if err != nil {
return 0, err
}
return vmstorage.DeleteMetrics(tfss)
}
// GetLabels returns labels until the given deadline.
func GetLabels(deadline Deadline) ([]string, error) {
labels, err := vmstorage.SearchTagKeys(*maxTagKeysPerSearch)
if err != nil {
return nil, fmt.Errorf("error during labels search: %s", err)
}
// Substitute "" with "__name__"
for i := range labels {
if labels[i] == "" {
labels[i] = "__name__"
}
}
// Sort labels like Prometheus does
sort.Strings(labels)
return labels, nil
}
// GetLabelValues returns label values for the given labelName
// until the given deadline.
func GetLabelValues(labelName string, deadline Deadline) ([]string, error) {
if labelName == "__name__" {
labelName = ""
}
// Search for tag values
labelValues, err := vmstorage.SearchTagValues([]byte(labelName), *maxTagValuesPerSearch)
if err != nil {
return nil, fmt.Errorf("error during label values search for labelName=%q: %s", labelName, err)
}
// Sort labelValues like Prometheus does
sort.Strings(labelValues)
return labelValues, nil
}
// GetSeriesCount returns the number of unique series.
func GetSeriesCount(deadline Deadline) (uint64, error) {
n, err := vmstorage.GetSeriesCount()
if err != nil {
return 0, fmt.Errorf("error during series count request: %s", err)
}
return n, nil
}
func getStorageSearch() *storage.Search {
v := ssPool.Get()
if v == nil {
return &storage.Search{}
}
return v.(*storage.Search)
}
func putStorageSearch(sr *storage.Search) {
n := atomic.LoadUint64(&sr.MissingMetricNamesForMetricID)
missingMetricNamesForMetricID.Add(int(n))
sr.MustClose()
ssPool.Put(sr)
}
var ssPool sync.Pool
var missingMetricNamesForMetricID = metrics.NewCounter(`vm_missing_metric_names_for_metric_id_total`)
// ProcessSearchQuery performs sq on storage nodes until the given deadline.
func ProcessSearchQuery(sq *storage.SearchQuery, deadline Deadline) (*Results, error) {
// Setup search.
tfss, err := setupTfss(sq.TagFilterss)
if err != nil {
return nil, err
}
tr := storage.TimeRange{
MinTimestamp: sq.MinTimestamp,
MaxTimestamp: sq.MaxTimestamp,
}
vmstorage.WG.Add(1)
defer vmstorage.WG.Done()
sr := getStorageSearch()
defer putStorageSearch(sr)
sr.Init(vmstorage.Storage, tfss, tr, *maxMetricsPerSearch)
tbf := getTmpBlocksFile()
m := make(map[string][]tmpBlockAddr)
for sr.NextMetricBlock() {
addr, err := tbf.WriteBlock(sr.MetricBlock.Block)
if err != nil {
putTmpBlocksFile(tbf)
return nil, fmt.Errorf("cannot write data to temporary blocks file: %s", err)
}
if time.Until(deadline.Deadline) < 0 {
putTmpBlocksFile(tbf)
return nil, fmt.Errorf("timeout exceeded while fetching data from storage: %s", deadline.Timeout)
}
metricName := sr.MetricBlock.MetricName
m[string(metricName)] = append(m[string(metricName)], addr)
}
if err := sr.Error(); err != nil {
putTmpBlocksFile(tbf)
return nil, fmt.Errorf("search error: %s", err)
}
if err := tbf.Finalize(); err != nil {
putTmpBlocksFile(tbf)
return nil, fmt.Errorf("cannot finalize temporary blocks file: %s", err)
}
var rss Results
rss.packedTimeseries = make([]packedTimeseries, len(m))
rss.tr = tr
rss.deadline = deadline
rss.tbf = tbf
i := 0
for metricName, addrs := range m {
pts := &rss.packedTimeseries[i]
i++
pts.metricName = metricName
pts.addrs = addrs
}
return &rss, nil
}
func getResult() *Result {
v := rsPool.Get()
if v == nil {
return &Result{}
}
return v.(*Result)
}
func putResult(rs *Result) {
if len(rs.Values) > 8192 {
// Do not pool big results, since they may occupy too much memory.
return
}
rs.reset()
rsPool.Put(rs)
}
var rsPool sync.Pool
func setupTfss(tagFilterss [][]storage.TagFilter) ([]*storage.TagFilters, error) {
tfss := make([]*storage.TagFilters, 0, len(tagFilterss))
for _, tagFilters := range tagFilterss {
tfs := storage.NewTagFilters()
for i := range tagFilters {
tf := &tagFilters[i]
if err := tfs.Add(tf.Key, tf.Value, tf.IsNegative, tf.IsRegexp); err != nil {
return nil, fmt.Errorf("cannot parse tag filter %s: %s", tf, err)
}
}
tfss = append(tfss, tfs)
}
return tfss, nil
}
// Deadline contains deadline with the corresponding timeout for pretty error messages.
type Deadline struct {
Deadline time.Time
Timeout time.Duration
}
// NewDeadline returns deadline for the given timeout.
func NewDeadline(timeout time.Duration) Deadline {
return Deadline{
Deadline: time.Now().Add(timeout),
Timeout: timeout,
}
}

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@ -0,0 +1,188 @@
package netstorage
import (
"bufio"
"fmt"
"io/ioutil"
"os"
"sync"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/bytesutil"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/fs"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/logger"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/storage"
"github.com/VictoriaMetrics/metrics"
)
// InitTmpBlocksDir initializes directory to store temporary search results.
//
// It stores data in system-defined temporary directory if tmpDirPath is empty.
func InitTmpBlocksDir(tmpDirPath string) {
if len(tmpDirPath) == 0 {
tmpDirPath = os.TempDir()
}
tmpBlocksDir = tmpDirPath + "/searchResults"
if err := os.RemoveAll(tmpBlocksDir); err != nil {
logger.Panicf("FATAL: cannot remove %q: %s", tmpBlocksDir, err)
}
if err := fs.MkdirAllIfNotExist(tmpBlocksDir); err != nil {
logger.Panicf("FATAL: cannot create %q: %s", tmpBlocksDir, err)
}
}
var tmpBlocksDir string
const maxInmemoryTmpBlocksFile = 512 * 1024
type tmpBlocksFile struct {
buf []byte
f *os.File
bw *bufio.Writer
offset uint64
}
func getTmpBlocksFile() *tmpBlocksFile {
v := tmpBlocksFilePool.Get()
if v == nil {
return &tmpBlocksFile{}
}
return v.(*tmpBlocksFile)
}
func putTmpBlocksFile(tbf *tmpBlocksFile) {
tbf.MustClose()
tbf.buf = tbf.buf[:0]
tbf.f = nil
tbf.bw = nil
tbf.offset = 0
tmpBlocksFilePool.Put(tbf)
}
var tmpBlocksFilePool sync.Pool
type tmpBlockAddr struct {
offset uint64
size int
}
func (addr tmpBlockAddr) String() string {
return fmt.Sprintf("offset %d, size %d", addr.offset, addr.size)
}
func getBufioWriter(f *os.File) *bufio.Writer {
v := bufioWriterPool.Get()
if v == nil {
return bufio.NewWriterSize(f, maxInmemoryTmpBlocksFile*2)
}
bw := v.(*bufio.Writer)
bw.Reset(f)
return bw
}
func putBufioWriter(bw *bufio.Writer) {
bufioWriterPool.Put(bw)
}
var bufioWriterPool sync.Pool
var tmpBlocksFilesCreated = metrics.NewCounter(`vm_tmp_blocks_files_created_total`)
// WriteBlock writes b to tbf.
//
// It returns errors since the operation may fail on space shortage
// and this must be handled.
func (tbf *tmpBlocksFile) WriteBlock(b *storage.Block) (tmpBlockAddr, error) {
var addr tmpBlockAddr
addr.offset = tbf.offset
tbfBufLen := len(tbf.buf)
tbf.buf = storage.MarshalBlock(tbf.buf, b)
addr.size = len(tbf.buf) - tbfBufLen
tbf.offset += uint64(addr.size)
if tbf.offset <= maxInmemoryTmpBlocksFile {
return addr, nil
}
if tbf.f == nil {
f, err := ioutil.TempFile(tmpBlocksDir, "")
if err != nil {
return addr, err
}
tbf.f = f
tbf.bw = getBufioWriter(f)
tmpBlocksFilesCreated.Inc()
}
_, err := tbf.bw.Write(tbf.buf)
tbf.buf = tbf.buf[:0]
if err != nil {
return addr, fmt.Errorf("cannot write block to %q: %s", tbf.f.Name(), err)
}
return addr, nil
}
func (tbf *tmpBlocksFile) Finalize() error {
if tbf.f == nil {
return nil
}
err := tbf.bw.Flush()
putBufioWriter(tbf.bw)
tbf.bw = nil
if _, err := tbf.f.Seek(0, 0); err != nil {
logger.Panicf("FATAL: cannot seek to the start of file: %s", err)
}
mustFadviseRandomRead(tbf.f)
return err
}
func (tbf *tmpBlocksFile) MustReadBlockAt(dst *storage.Block, addr tmpBlockAddr) {
var buf []byte
if tbf.f == nil {
buf = tbf.buf[addr.offset : addr.offset+uint64(addr.size)]
} else {
bb := tmpBufPool.Get()
defer tmpBufPool.Put(bb)
bb.B = bytesutil.Resize(bb.B, addr.size)
n, err := tbf.f.ReadAt(bb.B, int64(addr.offset))
if err != nil {
logger.Panicf("FATAL: cannot read from %q at %s: %s", tbf.f.Name(), addr, err)
}
if n != len(bb.B) {
logger.Panicf("FATAL: too short number of bytes read at %s; got %d; want %d", addr, n, len(bb.B))
}
buf = bb.B
}
tail, err := storage.UnmarshalBlock(dst, buf)
if err != nil {
logger.Panicf("FATAL: cannot unmarshal data at %s: %s", addr, err)
}
if len(tail) > 0 {
logger.Panicf("FATAL: unexpected non-empty tail left after unmarshaling data at %s; len(tail)=%d", addr, len(tail))
}
}
var tmpBufPool bytesutil.ByteBufferPool
func (tbf *tmpBlocksFile) MustClose() {
if tbf.f == nil {
return
}
if tbf.bw != nil {
putBufioWriter(tbf.bw)
tbf.bw = nil
}
fname := tbf.f.Name()
// Remove the file at first, then close it.
// This way the OS shouldn't try to flush file contents to storage
// on close.
if err := os.Remove(fname); err != nil {
logger.Panicf("FATAL: cannot remove %q: %s", fname, err)
}
if err := tbf.f.Close(); err != nil {
logger.Panicf("FATAL: cannot close %q: %s", fname, err)
}
tbf.f = nil
}

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@ -0,0 +1,150 @@
package netstorage
import (
"fmt"
"math/rand"
"os"
"reflect"
"testing"
"time"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/logger"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/storage"
)
func TestMain(m *testing.M) {
rand.Seed(time.Now().UnixNano())
tmpDir := "TestTmpBlocks"
InitTmpBlocksDir(tmpDir)
statusCode := m.Run()
if err := os.RemoveAll(tmpDir); err != nil {
logger.Panicf("cannot remove %q: %s", tmpDir, err)
}
os.Exit(statusCode)
}
func TestTmpBlocksFileSerial(t *testing.T) {
if err := testTmpBlocksFile(); err != nil {
t.Fatalf("unexpected error: %s", err)
}
}
func TestTmpBlocksFileConcurrent(t *testing.T) {
concurrency := 4
ch := make(chan error, concurrency)
for i := 0; i < concurrency; i++ {
go func() {
ch <- testTmpBlocksFile()
}()
}
for i := 0; i < concurrency; i++ {
select {
case err := <-ch:
if err != nil {
t.Fatalf("unexpected error: %s", err)
}
case <-time.After(30 * time.Second):
t.Fatalf("timeout")
}
}
}
func testTmpBlocksFile() error {
createBlock := func() *storage.Block {
rowsCount := rand.Intn(8000) + 1
var timestamps, values []int64
ts := int64(rand.Intn(1023434))
for i := 0; i < rowsCount; i++ {
ts += int64(rand.Intn(1000) + 1)
timestamps = append(timestamps, ts)
values = append(values, int64(i*i+rand.Intn(20)))
}
tsid := &storage.TSID{
MetricID: 234211,
}
scale := int16(rand.Intn(123))
precisionBits := uint8(rand.Intn(63) + 1)
var b storage.Block
b.Init(tsid, timestamps, values, scale, precisionBits)
_, _, _ = b.MarshalData(0, 0)
return &b
}
for _, size := range []int{1024, 16 * 1024, maxInmemoryTmpBlocksFile / 2, 2 * maxInmemoryTmpBlocksFile} {
err := func() error {
tbf := getTmpBlocksFile()
defer putTmpBlocksFile(tbf)
// Write blocks until their summary size exceeds `size`.
var addrs []tmpBlockAddr
var blocks []*storage.Block
for tbf.offset < uint64(size) {
b := createBlock()
addr, err := tbf.WriteBlock(b)
if err != nil {
return fmt.Errorf("cannot write block at offset %d: %s", tbf.offset, err)
}
if addr.offset+uint64(addr.size) != tbf.offset {
return fmt.Errorf("unexpected addr=%+v for offset %v", &addr, tbf.offset)
}
addrs = append(addrs, addr)
blocks = append(blocks, b)
}
if err := tbf.Finalize(); err != nil {
return fmt.Errorf("cannot finalize tbf: %s", err)
}
// Read blocks in parallel and verify them
concurrency := 3
workCh := make(chan int)
doneCh := make(chan error)
for i := 0; i < concurrency; i++ {
go func() {
doneCh <- func() error {
var b1 storage.Block
for idx := range workCh {
addr := addrs[idx]
b := blocks[idx]
if err := b.UnmarshalData(); err != nil {
return fmt.Errorf("cannot unmarshal data from the original block: %s", err)
}
b1.Reset()
tbf.MustReadBlockAt(&b1, addr)
if err := b1.UnmarshalData(); err != nil {
return fmt.Errorf("cannot unmarshal data from tbf: %s", err)
}
if b1.RowsCount() != b.RowsCount() {
return fmt.Errorf("unexpected number of rows in tbf block; got %d; want %d", b1.RowsCount(), b.RowsCount())
}
if !reflect.DeepEqual(b1.Timestamps(), b.Timestamps()) {
return fmt.Errorf("unexpected timestamps; got\n%v\nwant\n%v", b1.Timestamps(), b.Timestamps())
}
if !reflect.DeepEqual(b1.Values(), b.Values()) {
return fmt.Errorf("unexpected values; got\n%v\nwant\n%v", b1.Values(), b.Values())
}
}
return nil
}()
}()
}
for i := range addrs {
workCh <- i
}
close(workCh)
for i := 0; i < concurrency; i++ {
select {
case err := <-doneCh:
if err != nil {
return err
}
case <-time.After(time.Second):
return fmt.Errorf("timeout")
}
}
return nil
}()
if err != nil {
return err
}
}
return nil
}

View File

@ -0,0 +1,11 @@
{% stripspace %}
ErrorResponse generates error response for /api/v1/query.
See https://prometheus.io/docs/prometheus/latest/querying/api/#format-overview
{% func ErrorResponse(statusCode int, err error) %}
{
"status":"error",
"errorType":"{%d statusCode %}",
"error": {%q= err.Error() %}
}
{% endfunc %}
{% endstripspace %}

View File

@ -0,0 +1,61 @@
// Code generated by qtc from "error_response.qtpl". DO NOT EDIT.
// See https://github.com/valyala/quicktemplate for details.
// ErrorResponse generates error response for /api/v1/query.See https://prometheus.io/docs/prometheus/latest/querying/api/#format-overview
//line app/vmselect/prometheus/error_response.qtpl:4
package prometheus
//line app/vmselect/prometheus/error_response.qtpl:4
import (
qtio422016 "io"
qt422016 "github.com/valyala/quicktemplate"
)
//line app/vmselect/prometheus/error_response.qtpl:4
var (
_ = qtio422016.Copy
_ = qt422016.AcquireByteBuffer
)
//line app/vmselect/prometheus/error_response.qtpl:4
func StreamErrorResponse(qw422016 *qt422016.Writer, statusCode int, err error) {
//line app/vmselect/prometheus/error_response.qtpl:4
qw422016.N().S(`{"status":"error","errorType":"`)
//line app/vmselect/prometheus/error_response.qtpl:7
qw422016.N().D(statusCode)
//line app/vmselect/prometheus/error_response.qtpl:7
qw422016.N().S(`","error":`)
//line app/vmselect/prometheus/error_response.qtpl:8
qw422016.N().Q(err.Error())
//line app/vmselect/prometheus/error_response.qtpl:8
qw422016.N().S(`}`)
//line app/vmselect/prometheus/error_response.qtpl:10
}
//line app/vmselect/prometheus/error_response.qtpl:10
func WriteErrorResponse(qq422016 qtio422016.Writer, statusCode int, err error) {
//line app/vmselect/prometheus/error_response.qtpl:10
qw422016 := qt422016.AcquireWriter(qq422016)
//line app/vmselect/prometheus/error_response.qtpl:10
StreamErrorResponse(qw422016, statusCode, err)
//line app/vmselect/prometheus/error_response.qtpl:10
qt422016.ReleaseWriter(qw422016)
//line app/vmselect/prometheus/error_response.qtpl:10
}
//line app/vmselect/prometheus/error_response.qtpl:10
func ErrorResponse(statusCode int, err error) string {
//line app/vmselect/prometheus/error_response.qtpl:10
qb422016 := qt422016.AcquireByteBuffer()
//line app/vmselect/prometheus/error_response.qtpl:10
WriteErrorResponse(qb422016, statusCode, err)
//line app/vmselect/prometheus/error_response.qtpl:10
qs422016 := string(qb422016.B)
//line app/vmselect/prometheus/error_response.qtpl:10
qt422016.ReleaseByteBuffer(qb422016)
//line app/vmselect/prometheus/error_response.qtpl:10
return qs422016
//line app/vmselect/prometheus/error_response.qtpl:10
}

View File

@ -0,0 +1,96 @@
{% import (
"github.com/valyala/quicktemplate"
"github.com/VictoriaMetrics/VictoriaMetrics/app/vmselect/netstorage"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/storage"
) %}
{% stripspace %}
{% func ExportPrometheusLine(rs *netstorage.Result) %}
{% if len(rs.Timestamps) == 0 %}{% return %}{% endif %}
{% code bb := quicktemplate.AcquireByteBuffer() %}
{% code writeprometheusMetricName(bb, &rs.MetricName) %}
{% for i, ts := range rs.Timestamps %}
{%z= bb.B %}{% space %}
{%f= rs.Values[i] %}{% space %}
{%d= int(ts) %}{% newline %}
{% endfor %}
{% code quicktemplate.ReleaseByteBuffer(bb) %}
{% endfunc %}
{% func ExportJSONLine(rs *netstorage.Result) %}
{% if len(rs.Timestamps) == 0 %}{% return %}{% endif %}
{
"metric":{%= metricNameObject(&rs.MetricName) %},
"values":[
{% if len(rs.Values) > 0 %}
{% code values := rs.Values %}
{%f= values[0] %}
{% code values = values[1:] %}
{% for _, v := range values %}
,{%f= v %}
{% endfor %}
{% endif %}
],
"timestamps":[
{% if len(rs.Timestamps) > 0 %}
{% code timestamps := rs.Timestamps %}
{%d= int(timestamps[0]) %}
{% code timestamps = timestamps[1:] %}
{% for _, ts := range timestamps %}
,{%d= int(ts) %}
{% endfor %}
{% endif %}
]
}{% newline %}
{% endfunc %}
{% func ExportPromAPILine(rs *netstorage.Result) %}
{
"metric": {%= metricNameObject(&rs.MetricName) %},
"values": {%= valuesWithTimestamps(rs.Values, rs.Timestamps) %}
}
{% endfunc %}
{% func ExportPromAPIResponse(resultsCh <-chan *quicktemplate.ByteBuffer) %}
{
"status":"success",
"data":{
"resultType":"matrix",
"result":[
{% code bb, ok := <-resultsCh %}
{% if ok %}
{%z= bb.B %}
{% code quicktemplate.ReleaseByteBuffer(bb) %}
{% for bb := range resultsCh %}
,{%z= bb.B %}
{% code quicktemplate.ReleaseByteBuffer(bb) %}
{% endfor %}
{% endif %}
]
}
}
{% endfunc %}
{% func ExportStdResponse(resultsCh <-chan *quicktemplate.ByteBuffer) %}
{% for bb := range resultsCh %}
{%z= bb.B %}
{% code quicktemplate.ReleaseByteBuffer(bb) %}
{% endfor %}
{% endfunc %}
{% func prometheusMetricName(mn *storage.MetricName) %}
{%z= mn.MetricGroup %}
{% if len(mn.Tags) > 0 %}
{
{% code tags := mn.Tags %}
{%z= tags[0].Key %}={%qz= tags[0].Value %}
{% code tags = tags[1:] %}
{% for i := range tags %}
{% code tag := &tags[i] %}
,{%z= tag.Key %}={%qz= tag.Value %}
{% endfor %}
}
{% endif %}
{% endfunc %}
{% endstripspace %}

View File

@ -0,0 +1,385 @@
// Code generated by qtc from "export.qtpl". DO NOT EDIT.
// See https://github.com/valyala/quicktemplate for details.
//line app/vmselect/prometheus/export.qtpl:1
package prometheus
//line app/vmselect/prometheus/export.qtpl:1
import (
"github.com/VictoriaMetrics/VictoriaMetrics/app/vmselect/netstorage"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/storage"
"github.com/valyala/quicktemplate"
)
//line app/vmselect/prometheus/export.qtpl:9
import (
qtio422016 "io"
qt422016 "github.com/valyala/quicktemplate"
)
//line app/vmselect/prometheus/export.qtpl:9
var (
_ = qtio422016.Copy
_ = qt422016.AcquireByteBuffer
)
//line app/vmselect/prometheus/export.qtpl:9
func StreamExportPrometheusLine(qw422016 *qt422016.Writer, rs *netstorage.Result) {
//line app/vmselect/prometheus/export.qtpl:10
if len(rs.Timestamps) == 0 {
//line app/vmselect/prometheus/export.qtpl:10
return
//line app/vmselect/prometheus/export.qtpl:10
}
//line app/vmselect/prometheus/export.qtpl:11
bb := quicktemplate.AcquireByteBuffer()
//line app/vmselect/prometheus/export.qtpl:12
writeprometheusMetricName(bb, &rs.MetricName)
//line app/vmselect/prometheus/export.qtpl:13
for i, ts := range rs.Timestamps {
//line app/vmselect/prometheus/export.qtpl:14
qw422016.N().Z(bb.B)
//line app/vmselect/prometheus/export.qtpl:14
qw422016.N().S(` `)
//line app/vmselect/prometheus/export.qtpl:15
qw422016.N().F(rs.Values[i])
//line app/vmselect/prometheus/export.qtpl:15
qw422016.N().S(` `)
//line app/vmselect/prometheus/export.qtpl:16
qw422016.N().D(int(ts))
//line app/vmselect/prometheus/export.qtpl:16
qw422016.N().S(`
`)
//line app/vmselect/prometheus/export.qtpl:17
}
//line app/vmselect/prometheus/export.qtpl:18
quicktemplate.ReleaseByteBuffer(bb)
//line app/vmselect/prometheus/export.qtpl:19
}
//line app/vmselect/prometheus/export.qtpl:19
func WriteExportPrometheusLine(qq422016 qtio422016.Writer, rs *netstorage.Result) {
//line app/vmselect/prometheus/export.qtpl:19
qw422016 := qt422016.AcquireWriter(qq422016)
//line app/vmselect/prometheus/export.qtpl:19
StreamExportPrometheusLine(qw422016, rs)
//line app/vmselect/prometheus/export.qtpl:19
qt422016.ReleaseWriter(qw422016)
//line app/vmselect/prometheus/export.qtpl:19
}
//line app/vmselect/prometheus/export.qtpl:19
func ExportPrometheusLine(rs *netstorage.Result) string {
//line app/vmselect/prometheus/export.qtpl:19
qb422016 := qt422016.AcquireByteBuffer()
//line app/vmselect/prometheus/export.qtpl:19
WriteExportPrometheusLine(qb422016, rs)
//line app/vmselect/prometheus/export.qtpl:19
qs422016 := string(qb422016.B)
//line app/vmselect/prometheus/export.qtpl:19
qt422016.ReleaseByteBuffer(qb422016)
//line app/vmselect/prometheus/export.qtpl:19
return qs422016
//line app/vmselect/prometheus/export.qtpl:19
}
//line app/vmselect/prometheus/export.qtpl:21
func StreamExportJSONLine(qw422016 *qt422016.Writer, rs *netstorage.Result) {
//line app/vmselect/prometheus/export.qtpl:22
if len(rs.Timestamps) == 0 {
//line app/vmselect/prometheus/export.qtpl:22
return
//line app/vmselect/prometheus/export.qtpl:22
}
//line app/vmselect/prometheus/export.qtpl:22
qw422016.N().S(`{"metric":`)
//line app/vmselect/prometheus/export.qtpl:24
streammetricNameObject(qw422016, &rs.MetricName)
//line app/vmselect/prometheus/export.qtpl:24
qw422016.N().S(`,"values":[`)
//line app/vmselect/prometheus/export.qtpl:26
if len(rs.Values) > 0 {
//line app/vmselect/prometheus/export.qtpl:27
values := rs.Values
//line app/vmselect/prometheus/export.qtpl:28
qw422016.N().F(values[0])
//line app/vmselect/prometheus/export.qtpl:29
values = values[1:]
//line app/vmselect/prometheus/export.qtpl:30
for _, v := range values {
//line app/vmselect/prometheus/export.qtpl:30
qw422016.N().S(`,`)
//line app/vmselect/prometheus/export.qtpl:31
qw422016.N().F(v)
//line app/vmselect/prometheus/export.qtpl:32
}
//line app/vmselect/prometheus/export.qtpl:33
}
//line app/vmselect/prometheus/export.qtpl:33
qw422016.N().S(`],"timestamps":[`)
//line app/vmselect/prometheus/export.qtpl:36
if len(rs.Timestamps) > 0 {
//line app/vmselect/prometheus/export.qtpl:37
timestamps := rs.Timestamps
//line app/vmselect/prometheus/export.qtpl:38
qw422016.N().D(int(timestamps[0]))
//line app/vmselect/prometheus/export.qtpl:39
timestamps = timestamps[1:]
//line app/vmselect/prometheus/export.qtpl:40
for _, ts := range timestamps {
//line app/vmselect/prometheus/export.qtpl:40
qw422016.N().S(`,`)
//line app/vmselect/prometheus/export.qtpl:41
qw422016.N().D(int(ts))
//line app/vmselect/prometheus/export.qtpl:42
}
//line app/vmselect/prometheus/export.qtpl:43
}
//line app/vmselect/prometheus/export.qtpl:43
qw422016.N().S(`]}`)
//line app/vmselect/prometheus/export.qtpl:45
qw422016.N().S(`
`)
//line app/vmselect/prometheus/export.qtpl:46
}
//line app/vmselect/prometheus/export.qtpl:46
func WriteExportJSONLine(qq422016 qtio422016.Writer, rs *netstorage.Result) {
//line app/vmselect/prometheus/export.qtpl:46
qw422016 := qt422016.AcquireWriter(qq422016)
//line app/vmselect/prometheus/export.qtpl:46
StreamExportJSONLine(qw422016, rs)
//line app/vmselect/prometheus/export.qtpl:46
qt422016.ReleaseWriter(qw422016)
//line app/vmselect/prometheus/export.qtpl:46
}
//line app/vmselect/prometheus/export.qtpl:46
func ExportJSONLine(rs *netstorage.Result) string {
//line app/vmselect/prometheus/export.qtpl:46
qb422016 := qt422016.AcquireByteBuffer()
//line app/vmselect/prometheus/export.qtpl:46
WriteExportJSONLine(qb422016, rs)
//line app/vmselect/prometheus/export.qtpl:46
qs422016 := string(qb422016.B)
//line app/vmselect/prometheus/export.qtpl:46
qt422016.ReleaseByteBuffer(qb422016)
//line app/vmselect/prometheus/export.qtpl:46
return qs422016
//line app/vmselect/prometheus/export.qtpl:46
}
//line app/vmselect/prometheus/export.qtpl:48
func StreamExportPromAPILine(qw422016 *qt422016.Writer, rs *netstorage.Result) {
//line app/vmselect/prometheus/export.qtpl:48
qw422016.N().S(`{"metric":`)
//line app/vmselect/prometheus/export.qtpl:50
streammetricNameObject(qw422016, &rs.MetricName)
//line app/vmselect/prometheus/export.qtpl:50
qw422016.N().S(`,"values":`)
//line app/vmselect/prometheus/export.qtpl:51
streamvaluesWithTimestamps(qw422016, rs.Values, rs.Timestamps)
//line app/vmselect/prometheus/export.qtpl:51
qw422016.N().S(`}`)
//line app/vmselect/prometheus/export.qtpl:53
}
//line app/vmselect/prometheus/export.qtpl:53
func WriteExportPromAPILine(qq422016 qtio422016.Writer, rs *netstorage.Result) {
//line app/vmselect/prometheus/export.qtpl:53
qw422016 := qt422016.AcquireWriter(qq422016)
//line app/vmselect/prometheus/export.qtpl:53
StreamExportPromAPILine(qw422016, rs)
//line app/vmselect/prometheus/export.qtpl:53
qt422016.ReleaseWriter(qw422016)
//line app/vmselect/prometheus/export.qtpl:53
}
//line app/vmselect/prometheus/export.qtpl:53
func ExportPromAPILine(rs *netstorage.Result) string {
//line app/vmselect/prometheus/export.qtpl:53
qb422016 := qt422016.AcquireByteBuffer()
//line app/vmselect/prometheus/export.qtpl:53
WriteExportPromAPILine(qb422016, rs)
//line app/vmselect/prometheus/export.qtpl:53
qs422016 := string(qb422016.B)
//line app/vmselect/prometheus/export.qtpl:53
qt422016.ReleaseByteBuffer(qb422016)
//line app/vmselect/prometheus/export.qtpl:53
return qs422016
//line app/vmselect/prometheus/export.qtpl:53
}
//line app/vmselect/prometheus/export.qtpl:55
func StreamExportPromAPIResponse(qw422016 *qt422016.Writer, resultsCh <-chan *quicktemplate.ByteBuffer) {
//line app/vmselect/prometheus/export.qtpl:55
qw422016.N().S(`{"status":"success","data":{"resultType":"matrix","result":[`)
//line app/vmselect/prometheus/export.qtpl:61
bb, ok := <-resultsCh
//line app/vmselect/prometheus/export.qtpl:62
if ok {
//line app/vmselect/prometheus/export.qtpl:63
qw422016.N().Z(bb.B)
//line app/vmselect/prometheus/export.qtpl:64
quicktemplate.ReleaseByteBuffer(bb)
//line app/vmselect/prometheus/export.qtpl:65
for bb := range resultsCh {
//line app/vmselect/prometheus/export.qtpl:65
qw422016.N().S(`,`)
//line app/vmselect/prometheus/export.qtpl:66
qw422016.N().Z(bb.B)
//line app/vmselect/prometheus/export.qtpl:67
quicktemplate.ReleaseByteBuffer(bb)
//line app/vmselect/prometheus/export.qtpl:68
}
//line app/vmselect/prometheus/export.qtpl:69
}
//line app/vmselect/prometheus/export.qtpl:69
qw422016.N().S(`]}}`)
//line app/vmselect/prometheus/export.qtpl:73
}
//line app/vmselect/prometheus/export.qtpl:73
func WriteExportPromAPIResponse(qq422016 qtio422016.Writer, resultsCh <-chan *quicktemplate.ByteBuffer) {
//line app/vmselect/prometheus/export.qtpl:73
qw422016 := qt422016.AcquireWriter(qq422016)
//line app/vmselect/prometheus/export.qtpl:73
StreamExportPromAPIResponse(qw422016, resultsCh)
//line app/vmselect/prometheus/export.qtpl:73
qt422016.ReleaseWriter(qw422016)
//line app/vmselect/prometheus/export.qtpl:73
}
//line app/vmselect/prometheus/export.qtpl:73
func ExportPromAPIResponse(resultsCh <-chan *quicktemplate.ByteBuffer) string {
//line app/vmselect/prometheus/export.qtpl:73
qb422016 := qt422016.AcquireByteBuffer()
//line app/vmselect/prometheus/export.qtpl:73
WriteExportPromAPIResponse(qb422016, resultsCh)
//line app/vmselect/prometheus/export.qtpl:73
qs422016 := string(qb422016.B)
//line app/vmselect/prometheus/export.qtpl:73
qt422016.ReleaseByteBuffer(qb422016)
//line app/vmselect/prometheus/export.qtpl:73
return qs422016
//line app/vmselect/prometheus/export.qtpl:73
}
//line app/vmselect/prometheus/export.qtpl:75
func StreamExportStdResponse(qw422016 *qt422016.Writer, resultsCh <-chan *quicktemplate.ByteBuffer) {
//line app/vmselect/prometheus/export.qtpl:76
for bb := range resultsCh {
//line app/vmselect/prometheus/export.qtpl:77
qw422016.N().Z(bb.B)
//line app/vmselect/prometheus/export.qtpl:78
quicktemplate.ReleaseByteBuffer(bb)
//line app/vmselect/prometheus/export.qtpl:79
}
//line app/vmselect/prometheus/export.qtpl:80
}
//line app/vmselect/prometheus/export.qtpl:80
func WriteExportStdResponse(qq422016 qtio422016.Writer, resultsCh <-chan *quicktemplate.ByteBuffer) {
//line app/vmselect/prometheus/export.qtpl:80
qw422016 := qt422016.AcquireWriter(qq422016)
//line app/vmselect/prometheus/export.qtpl:80
StreamExportStdResponse(qw422016, resultsCh)
//line app/vmselect/prometheus/export.qtpl:80
qt422016.ReleaseWriter(qw422016)
//line app/vmselect/prometheus/export.qtpl:80
}
//line app/vmselect/prometheus/export.qtpl:80
func ExportStdResponse(resultsCh <-chan *quicktemplate.ByteBuffer) string {
//line app/vmselect/prometheus/export.qtpl:80
qb422016 := qt422016.AcquireByteBuffer()
//line app/vmselect/prometheus/export.qtpl:80
WriteExportStdResponse(qb422016, resultsCh)
//line app/vmselect/prometheus/export.qtpl:80
qs422016 := string(qb422016.B)
//line app/vmselect/prometheus/export.qtpl:80
qt422016.ReleaseByteBuffer(qb422016)
//line app/vmselect/prometheus/export.qtpl:80
return qs422016
//line app/vmselect/prometheus/export.qtpl:80
}
//line app/vmselect/prometheus/export.qtpl:82
func streamprometheusMetricName(qw422016 *qt422016.Writer, mn *storage.MetricName) {
//line app/vmselect/prometheus/export.qtpl:83
qw422016.N().Z(mn.MetricGroup)
//line app/vmselect/prometheus/export.qtpl:84
if len(mn.Tags) > 0 {
//line app/vmselect/prometheus/export.qtpl:84
qw422016.N().S(`{`)
//line app/vmselect/prometheus/export.qtpl:86
tags := mn.Tags
//line app/vmselect/prometheus/export.qtpl:87
qw422016.N().Z(tags[0].Key)
//line app/vmselect/prometheus/export.qtpl:87
qw422016.N().S(`=`)
//line app/vmselect/prometheus/export.qtpl:87
qw422016.N().QZ(tags[0].Value)
//line app/vmselect/prometheus/export.qtpl:88
tags = tags[1:]
//line app/vmselect/prometheus/export.qtpl:89
for i := range tags {
//line app/vmselect/prometheus/export.qtpl:90
tag := &tags[i]
//line app/vmselect/prometheus/export.qtpl:90
qw422016.N().S(`,`)
//line app/vmselect/prometheus/export.qtpl:91
qw422016.N().Z(tag.Key)
//line app/vmselect/prometheus/export.qtpl:91
qw422016.N().S(`=`)
//line app/vmselect/prometheus/export.qtpl:91
qw422016.N().QZ(tag.Value)
//line app/vmselect/prometheus/export.qtpl:92
}
//line app/vmselect/prometheus/export.qtpl:92
qw422016.N().S(`}`)
//line app/vmselect/prometheus/export.qtpl:94
}
//line app/vmselect/prometheus/export.qtpl:95
}
//line app/vmselect/prometheus/export.qtpl:95
func writeprometheusMetricName(qq422016 qtio422016.Writer, mn *storage.MetricName) {
//line app/vmselect/prometheus/export.qtpl:95
qw422016 := qt422016.AcquireWriter(qq422016)
//line app/vmselect/prometheus/export.qtpl:95
streamprometheusMetricName(qw422016, mn)
//line app/vmselect/prometheus/export.qtpl:95
qt422016.ReleaseWriter(qw422016)
//line app/vmselect/prometheus/export.qtpl:95
}
//line app/vmselect/prometheus/export.qtpl:95
func prometheusMetricName(mn *storage.MetricName) string {
//line app/vmselect/prometheus/export.qtpl:95
qb422016 := qt422016.AcquireByteBuffer()
//line app/vmselect/prometheus/export.qtpl:95
writeprometheusMetricName(qb422016, mn)
//line app/vmselect/prometheus/export.qtpl:95
qs422016 := string(qb422016.B)
//line app/vmselect/prometheus/export.qtpl:95
qt422016.ReleaseByteBuffer(qb422016)
//line app/vmselect/prometheus/export.qtpl:95
return qs422016
//line app/vmselect/prometheus/export.qtpl:95
}

View File

@ -0,0 +1,16 @@
{% import (
"github.com/VictoriaMetrics/VictoriaMetrics/app/vmselect/netstorage"
) %}
{% stripspace %}
// Federate writes rs in /federate format.
// See https://prometheus.io/docs/prometheus/latest/federation/
{% func Federate(rs *netstorage.Result) %}
{% if len(rs.Timestamps) == 0 || len(rs.Values) == 0 %}{% return %}{% endif %}
{%= prometheusMetricName(&rs.MetricName) %}{% space %}
{%f= rs.Values[len(rs.Values)-1] %}{% space %}
{%d= int(rs.Timestamps[len(rs.Timestamps)-1]) %}{% newline %}
{% endfunc %}
{% endstripspace %}

View File

@ -0,0 +1,75 @@
// Code generated by qtc from "federate.qtpl". DO NOT EDIT.
// See https://github.com/valyala/quicktemplate for details.
//line app/vmselect/prometheus/federate.qtpl:1
package prometheus
//line app/vmselect/prometheus/federate.qtpl:1
import (
"github.com/VictoriaMetrics/VictoriaMetrics/app/vmselect/netstorage"
)
// Federate writes rs in /federate format.// See https://prometheus.io/docs/prometheus/latest/federation/
//line app/vmselect/prometheus/federate.qtpl:9
import (
qtio422016 "io"
qt422016 "github.com/valyala/quicktemplate"
)
//line app/vmselect/prometheus/federate.qtpl:9
var (
_ = qtio422016.Copy
_ = qt422016.AcquireByteBuffer
)
//line app/vmselect/prometheus/federate.qtpl:9
func StreamFederate(qw422016 *qt422016.Writer, rs *netstorage.Result) {
//line app/vmselect/prometheus/federate.qtpl:10
if len(rs.Timestamps) == 0 || len(rs.Values) == 0 {
//line app/vmselect/prometheus/federate.qtpl:10
return
//line app/vmselect/prometheus/federate.qtpl:10
}
//line app/vmselect/prometheus/federate.qtpl:11
streamprometheusMetricName(qw422016, &rs.MetricName)
//line app/vmselect/prometheus/federate.qtpl:11
qw422016.N().S(` `)
//line app/vmselect/prometheus/federate.qtpl:12
qw422016.N().F(rs.Values[len(rs.Values)-1])
//line app/vmselect/prometheus/federate.qtpl:12
qw422016.N().S(` `)
//line app/vmselect/prometheus/federate.qtpl:13
qw422016.N().D(int(rs.Timestamps[len(rs.Timestamps)-1]))
//line app/vmselect/prometheus/federate.qtpl:13
qw422016.N().S(`
`)
//line app/vmselect/prometheus/federate.qtpl:14
}
//line app/vmselect/prometheus/federate.qtpl:14
func WriteFederate(qq422016 qtio422016.Writer, rs *netstorage.Result) {
//line app/vmselect/prometheus/federate.qtpl:14
qw422016 := qt422016.AcquireWriter(qq422016)
//line app/vmselect/prometheus/federate.qtpl:14
StreamFederate(qw422016, rs)
//line app/vmselect/prometheus/federate.qtpl:14
qt422016.ReleaseWriter(qw422016)
//line app/vmselect/prometheus/federate.qtpl:14
}
//line app/vmselect/prometheus/federate.qtpl:14
func Federate(rs *netstorage.Result) string {
//line app/vmselect/prometheus/federate.qtpl:14
qb422016 := qt422016.AcquireByteBuffer()
//line app/vmselect/prometheus/federate.qtpl:14
WriteFederate(qb422016, rs)
//line app/vmselect/prometheus/federate.qtpl:14
qs422016 := string(qb422016.B)
//line app/vmselect/prometheus/federate.qtpl:14
qt422016.ReleaseByteBuffer(qb422016)
//line app/vmselect/prometheus/federate.qtpl:14
return qs422016
//line app/vmselect/prometheus/federate.qtpl:14
}

View File

@ -0,0 +1,15 @@
{% stripspace %}
LabelValuesResponse generates response for /api/v1/label/<labelName>/values .
See https://prometheus.io/docs/prometheus/latest/querying/api/#querying-label-values
{% func LabelValuesResponse(labelValues []string) %}
{
"status":"success",
"data":[
{% for i, labelValue := range labelValues %}
{%q= labelValue %}
{% if i+1 < len(labelValues) %},{% endif %}
{% endfor %}
]
}
{% endfunc %}
{% endstripspace %}

View File

@ -0,0 +1,67 @@
// Code generated by qtc from "label_values_response.qtpl". DO NOT EDIT.
// See https://github.com/valyala/quicktemplate for details.
// LabelValuesResponse generates response for /api/v1/label/<labelName>/values .See https://prometheus.io/docs/prometheus/latest/querying/api/#querying-label-values
//line app/vmselect/prometheus/label_values_response.qtpl:4
package prometheus
//line app/vmselect/prometheus/label_values_response.qtpl:4
import (
qtio422016 "io"
qt422016 "github.com/valyala/quicktemplate"
)
//line app/vmselect/prometheus/label_values_response.qtpl:4
var (
_ = qtio422016.Copy
_ = qt422016.AcquireByteBuffer
)
//line app/vmselect/prometheus/label_values_response.qtpl:4
func StreamLabelValuesResponse(qw422016 *qt422016.Writer, labelValues []string) {
//line app/vmselect/prometheus/label_values_response.qtpl:4
qw422016.N().S(`{"status":"success","data":[`)
//line app/vmselect/prometheus/label_values_response.qtpl:8
for i, labelValue := range labelValues {
//line app/vmselect/prometheus/label_values_response.qtpl:9
qw422016.N().Q(labelValue)
//line app/vmselect/prometheus/label_values_response.qtpl:10
if i+1 < len(labelValues) {
//line app/vmselect/prometheus/label_values_response.qtpl:10
qw422016.N().S(`,`)
//line app/vmselect/prometheus/label_values_response.qtpl:10
}
//line app/vmselect/prometheus/label_values_response.qtpl:11
}
//line app/vmselect/prometheus/label_values_response.qtpl:11
qw422016.N().S(`]}`)
//line app/vmselect/prometheus/label_values_response.qtpl:14
}
//line app/vmselect/prometheus/label_values_response.qtpl:14
func WriteLabelValuesResponse(qq422016 qtio422016.Writer, labelValues []string) {
//line app/vmselect/prometheus/label_values_response.qtpl:14
qw422016 := qt422016.AcquireWriter(qq422016)
//line app/vmselect/prometheus/label_values_response.qtpl:14
StreamLabelValuesResponse(qw422016, labelValues)
//line app/vmselect/prometheus/label_values_response.qtpl:14
qt422016.ReleaseWriter(qw422016)
//line app/vmselect/prometheus/label_values_response.qtpl:14
}
//line app/vmselect/prometheus/label_values_response.qtpl:14
func LabelValuesResponse(labelValues []string) string {
//line app/vmselect/prometheus/label_values_response.qtpl:14
qb422016 := qt422016.AcquireByteBuffer()
//line app/vmselect/prometheus/label_values_response.qtpl:14
WriteLabelValuesResponse(qb422016, labelValues)
//line app/vmselect/prometheus/label_values_response.qtpl:14
qs422016 := string(qb422016.B)
//line app/vmselect/prometheus/label_values_response.qtpl:14
qt422016.ReleaseByteBuffer(qb422016)
//line app/vmselect/prometheus/label_values_response.qtpl:14
return qs422016
//line app/vmselect/prometheus/label_values_response.qtpl:14
}

View File

@ -0,0 +1,15 @@
{% stripspace %}
LabelsResponse generates response for /api/v1/labels .
See https://prometheus.io/docs/prometheus/latest/querying/api/#getting-label-names
{% func LabelsResponse(labels []string) %}
{
"status":"success",
"data":[
{% for i, label := range labels %}
{%q= label %}
{% if i+1 < len(labels) %},{% endif %}
{% endfor %}
]
}
{% endfunc %}
{% endstripspace %}

View File

@ -0,0 +1,67 @@
// Code generated by qtc from "labels_response.qtpl". DO NOT EDIT.
// See https://github.com/valyala/quicktemplate for details.
// LabelsResponse generates response for /api/v1/labels .See https://prometheus.io/docs/prometheus/latest/querying/api/#getting-label-names
//line app/vmselect/prometheus/labels_response.qtpl:4
package prometheus
//line app/vmselect/prometheus/labels_response.qtpl:4
import (
qtio422016 "io"
qt422016 "github.com/valyala/quicktemplate"
)
//line app/vmselect/prometheus/labels_response.qtpl:4
var (
_ = qtio422016.Copy
_ = qt422016.AcquireByteBuffer
)
//line app/vmselect/prometheus/labels_response.qtpl:4
func StreamLabelsResponse(qw422016 *qt422016.Writer, labels []string) {
//line app/vmselect/prometheus/labels_response.qtpl:4
qw422016.N().S(`{"status":"success","data":[`)
//line app/vmselect/prometheus/labels_response.qtpl:8
for i, label := range labels {
//line app/vmselect/prometheus/labels_response.qtpl:9
qw422016.N().Q(label)
//line app/vmselect/prometheus/labels_response.qtpl:10
if i+1 < len(labels) {
//line app/vmselect/prometheus/labels_response.qtpl:10
qw422016.N().S(`,`)
//line app/vmselect/prometheus/labels_response.qtpl:10
}
//line app/vmselect/prometheus/labels_response.qtpl:11
}
//line app/vmselect/prometheus/labels_response.qtpl:11
qw422016.N().S(`]}`)
//line app/vmselect/prometheus/labels_response.qtpl:14
}
//line app/vmselect/prometheus/labels_response.qtpl:14
func WriteLabelsResponse(qq422016 qtio422016.Writer, labels []string) {
//line app/vmselect/prometheus/labels_response.qtpl:14
qw422016 := qt422016.AcquireWriter(qq422016)
//line app/vmselect/prometheus/labels_response.qtpl:14
StreamLabelsResponse(qw422016, labels)
//line app/vmselect/prometheus/labels_response.qtpl:14
qt422016.ReleaseWriter(qw422016)
//line app/vmselect/prometheus/labels_response.qtpl:14
}
//line app/vmselect/prometheus/labels_response.qtpl:14
func LabelsResponse(labels []string) string {
//line app/vmselect/prometheus/labels_response.qtpl:14
qb422016 := qt422016.AcquireByteBuffer()
//line app/vmselect/prometheus/labels_response.qtpl:14
WriteLabelsResponse(qb422016, labels)
//line app/vmselect/prometheus/labels_response.qtpl:14
qs422016 := string(qb422016.B)
//line app/vmselect/prometheus/labels_response.qtpl:14
qt422016.ReleaseByteBuffer(qb422016)
//line app/vmselect/prometheus/labels_response.qtpl:14
return qs422016
//line app/vmselect/prometheus/labels_response.qtpl:14
}

View File

@ -0,0 +1,550 @@
package prometheus
import (
"flag"
"fmt"
"math"
"net/http"
"runtime"
"strconv"
"strings"
"time"
"github.com/VictoriaMetrics/VictoriaMetrics/app/vmselect/netstorage"
"github.com/VictoriaMetrics/VictoriaMetrics/app/vmselect/promql"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/storage"
"github.com/VictoriaMetrics/metrics"
"github.com/valyala/quicktemplate"
)
var (
maxQueryDuration = flag.Duration("search.maxQueryDuration", time.Second*30, "The maximum time for search query execution")
maxQueryLen = flag.Int("search.maxQueryLen", 16*1024, "The maximum search query length in bytes")
)
// Default step used if not set.
const defaultStep = 5 * 60 * 1000
// Latency for data processing pipeline, i.e. the time between data is ignested
// into the system and the time it becomes visible to search.
const latencyOffset = 60 * 1000
// FederateHandler implements /federate . See https://prometheus.io/docs/prometheus/latest/federation/
func FederateHandler(w http.ResponseWriter, r *http.Request) error {
startTime := time.Now()
ct := currentTime()
if err := r.ParseForm(); err != nil {
return fmt.Errorf("cannot parse request form values: %s", err)
}
matches := r.Form["match[]"]
maxLookback := getDuration(r, "max_lookback", defaultStep)
start := getTime(r, "start", ct-maxLookback)
end := getTime(r, "end", ct)
deadline := getDeadline(r)
if start >= end {
start = end - defaultStep
}
tagFilterss, err := getTagFilterssFromMatches(matches)
if err != nil {
return err
}
sq := &storage.SearchQuery{
MinTimestamp: start,
MaxTimestamp: end,
TagFilterss: tagFilterss,
}
rss, err := netstorage.ProcessSearchQuery(sq, deadline)
if err != nil {
return fmt.Errorf("cannot fetch data for %q: %s", sq, err)
}
resultsCh := make(chan *quicktemplate.ByteBuffer)
doneCh := make(chan error)
go func() {
err := rss.RunParallel(func(rs *netstorage.Result) {
bb := quicktemplate.AcquireByteBuffer()
WriteFederate(bb, rs)
resultsCh <- bb
})
close(resultsCh)
doneCh <- err
}()
w.Header().Set("Content-Type", "text/plain")
for bb := range resultsCh {
w.Write(bb.B)
quicktemplate.ReleaseByteBuffer(bb)
}
err = <-doneCh
if err != nil {
return fmt.Errorf("error during data fetching: %s", err)
}
federateDuration.UpdateDuration(startTime)
return nil
}
var federateDuration = metrics.NewSummary(`vm_request_duration_seconds{path="/federate"}`)
// ExportHandler exports data in raw format from /api/v1/export.
func ExportHandler(w http.ResponseWriter, r *http.Request) error {
startTime := time.Now()
ct := currentTime()
if err := r.ParseForm(); err != nil {
return fmt.Errorf("cannot parse request form values: %s", err)
}
matches := r.Form["match[]"]
if len(matches) == 0 {
// Maintain backwards compatibility
match := r.FormValue("match")
matches = []string{match}
}
start := getTime(r, "start", 0)
end := getTime(r, "end", ct)
format := r.FormValue("format")
deadline := getDeadline(r)
if start >= end {
start = end - defaultStep
}
if err := exportHandler(w, matches, start, end, format, deadline); err != nil {
return err
}
exportDuration.UpdateDuration(startTime)
return nil
}
var exportDuration = metrics.NewSummary(`vm_request_duration_seconds{path="/api/v1/export"}`)
func exportHandler(w http.ResponseWriter, matches []string, start, end int64, format string, deadline netstorage.Deadline) error {
writeResponseFunc := WriteExportStdResponse
writeLineFunc := WriteExportJSONLine
contentType := "application/json"
if format == "prometheus" {
contentType = "text/plain"
writeLineFunc = WriteExportPrometheusLine
} else if format == "promapi" {
writeResponseFunc = WriteExportPromAPIResponse
writeLineFunc = WriteExportPromAPILine
}
tagFilterss, err := getTagFilterssFromMatches(matches)
if err != nil {
return err
}
sq := &storage.SearchQuery{
MinTimestamp: start,
MaxTimestamp: end,
TagFilterss: tagFilterss,
}
rss, err := netstorage.ProcessSearchQuery(sq, deadline)
if err != nil {
return fmt.Errorf("cannot fetch data for %q: %s", sq, err)
}
resultsCh := make(chan *quicktemplate.ByteBuffer, runtime.GOMAXPROCS(-1))
doneCh := make(chan error)
go func() {
err := rss.RunParallel(func(rs *netstorage.Result) {
bb := quicktemplate.AcquireByteBuffer()
writeLineFunc(bb, rs)
resultsCh <- bb
})
close(resultsCh)
doneCh <- err
}()
w.Header().Set("Content-Type", contentType)
writeResponseFunc(w, resultsCh)
err = <-doneCh
if err != nil {
return fmt.Errorf("error during data fetching: %s", err)
}
return nil
}
// DeleteHandler processes /api/v1/admin/tsdb/delete_series prometheus API request.
//
// See https://prometheus.io/docs/prometheus/latest/querying/api/#delete-series
func DeleteHandler(r *http.Request) error {
startTime := time.Now()
if err := r.ParseForm(); err != nil {
return fmt.Errorf("cannot parse request form values: %s", err)
}
if r.FormValue("start") != "" || r.FormValue("end") != "" {
return fmt.Errorf("start and end aren't supported. Remove these args from the query in order to delete all the matching metrics")
}
matches := r.Form["match[]"]
tagFilterss, err := getTagFilterssFromMatches(matches)
if err != nil {
return err
}
sq := &storage.SearchQuery{
TagFilterss: tagFilterss,
}
deletedCount, err := netstorage.DeleteSeries(sq)
if err != nil {
return fmt.Errorf("cannot delete time series matching %q: %s", matches, err)
}
if deletedCount > 0 {
promql.ResetRollupResultCache()
}
deleteDuration.UpdateDuration(startTime)
return nil
}
var deleteDuration = metrics.NewSummary(`vm_request_duration_seconds{path="/api/v1/admin/tsdb/delete_series"}`)
// LabelValuesHandler processes /api/v1/label/<labelName>/values request.
//
// See https://prometheus.io/docs/prometheus/latest/querying/api/#querying-label-values
func LabelValuesHandler(labelName string, w http.ResponseWriter, r *http.Request) error {
startTime := time.Now()
deadline := getDeadline(r)
labelValues, err := netstorage.GetLabelValues(labelName, deadline)
if err != nil {
return fmt.Errorf(`cannot obtain label values for %q: %s`, labelName, err)
}
w.Header().Set("Content-Type", "application/json")
WriteLabelValuesResponse(w, labelValues)
labelValuesDuration.UpdateDuration(startTime)
return nil
}
var labelValuesDuration = metrics.NewSummary(`vm_request_duration_seconds{path="/api/v1/label/{}/values"}`)
// LabelsHandler processes /api/v1/labels request.
//
// See https://prometheus.io/docs/prometheus/latest/querying/api/#getting-label-names
func LabelsHandler(w http.ResponseWriter, r *http.Request) error {
startTime := time.Now()
deadline := getDeadline(r)
labels, err := netstorage.GetLabels(deadline)
if err != nil {
return fmt.Errorf("cannot obtain labels: %s", err)
}
w.Header().Set("Content-Type", "application/json")
WriteLabelsResponse(w, labels)
labelsDuration.UpdateDuration(startTime)
return nil
}
var labelsDuration = metrics.NewSummary(`vm_request_duration_seconds{path="/api/v1/labels"}`)
// SeriesCountHandler processes /api/v1/series/count request.
func SeriesCountHandler(w http.ResponseWriter, r *http.Request) error {
startTime := time.Now()
deadline := getDeadline(r)
n, err := netstorage.GetSeriesCount(deadline)
if err != nil {
return fmt.Errorf("cannot obtain series count: %s", err)
}
w.Header().Set("Content-Type", "application/json")
WriteSeriesCountResponse(w, n)
seriesCountDuration.UpdateDuration(startTime)
return nil
}
var seriesCountDuration = metrics.NewSummary(`vm_request_duration_seconds{path="/api/v1/series/count"}`)
// SeriesHandler processes /api/v1/series request.
//
// See https://prometheus.io/docs/prometheus/latest/querying/api/#finding-series-by-label-matchers
func SeriesHandler(w http.ResponseWriter, r *http.Request) error {
startTime := time.Now()
ct := currentTime()
if err := r.ParseForm(); err != nil {
return fmt.Errorf("cannot parse form values: %s", err)
}
matches := r.Form["match[]"]
start := getTime(r, "start", ct-defaultStep)
end := getTime(r, "end", ct)
deadline := getDeadline(r)
tagFilterss, err := getTagFilterssFromMatches(matches)
if err != nil {
return err
}
if start >= end {
start = end - defaultStep
}
sq := &storage.SearchQuery{
MinTimestamp: start,
MaxTimestamp: end,
TagFilterss: tagFilterss,
}
rss, err := netstorage.ProcessSearchQuery(sq, deadline)
if err != nil {
return fmt.Errorf("cannot fetch data for %q: %s", sq, err)
}
resultsCh := make(chan *quicktemplate.ByteBuffer)
doneCh := make(chan error)
go func() {
err := rss.RunParallel(func(rs *netstorage.Result) {
bb := quicktemplate.AcquireByteBuffer()
writemetricNameObject(bb, &rs.MetricName)
resultsCh <- bb
})
close(resultsCh)
doneCh <- err
}()
w.Header().Set("Content-Type", "application/json")
WriteSeriesResponse(w, resultsCh)
// Consume all the data from resultsCh in the event WriteSeriesResponse
// fail to consume all the data.
for bb := range resultsCh {
quicktemplate.ReleaseByteBuffer(bb)
}
err = <-doneCh
if err != nil {
return fmt.Errorf("error during data fetching: %s", err)
}
seriesDuration.UpdateDuration(startTime)
return nil
}
var seriesDuration = metrics.NewSummary(`vm_request_duration_seconds{path="/api/v1/series"}`)
// QueryHandler processes /api/v1/query request.
//
// See https://prometheus.io/docs/prometheus/latest/querying/api/#instant-queries
func QueryHandler(w http.ResponseWriter, r *http.Request) error {
startTime := time.Now()
ct := currentTime()
query := r.FormValue("query")
start := getTime(r, "time", ct)
step := getDuration(r, "step", latencyOffset)
deadline := getDeadline(r)
if len(query) > *maxQueryLen {
return fmt.Errorf(`too long query; got %d bytes; mustn't exceed %d bytes`, len(query), *maxQueryLen)
}
if ct-start < latencyOffset {
start -= latencyOffset
}
if childQuery, windowStr, offsetStr := promql.IsMetricSelectorWithRollup(query); childQuery != "" {
var window int64
if len(windowStr) > 0 {
var err error
window, err = promql.DurationValue(windowStr, step)
if err != nil {
return err
}
}
var offset int64
if len(offsetStr) > 0 {
var err error
offset, err = promql.DurationValue(offsetStr, step)
if err != nil {
return err
}
}
start -= offset
end := start
start = end - window
if err := exportHandler(w, []string{childQuery}, start, end, "promapi", deadline); err != nil {
return err
}
queryDuration.UpdateDuration(startTime)
return nil
}
ec := promql.EvalConfig{
Start: start,
End: start,
Step: step,
Deadline: deadline,
}
result, err := promql.Exec(&ec, query)
if err != nil {
return fmt.Errorf("cannot execute %q: %s", query, err)
}
w.Header().Set("Content-Type", "application/json")
WriteQueryResponse(w, result)
queryDuration.UpdateDuration(startTime)
return nil
}
var queryDuration = metrics.NewSummary(`vm_request_duration_seconds{path="/api/v1/query"}`)
// QueryRangeHandler processes /api/v1/query_range request.
//
// See https://prometheus.io/docs/prometheus/latest/querying/api/#range-queries
func QueryRangeHandler(w http.ResponseWriter, r *http.Request) error {
startTime := time.Now()
ct := currentTime()
query := r.FormValue("query")
start := getTime(r, "start", ct-defaultStep)
end := getTime(r, "end", ct)
step := getDuration(r, "step", defaultStep)
deadline := getDeadline(r)
mayCache := !getBool(r, "nocache")
// Validate input args.
if len(query) > *maxQueryLen {
return fmt.Errorf(`too long query; got %d bytes; mustn't exceed %d bytes`, len(query), *maxQueryLen)
}
if start > end {
start = end
}
if err := promql.ValidateMaxPointsPerTimeseries(start, end, step); err != nil {
return err
}
start, end = promql.AdjustStartEnd(start, end, step)
ec := promql.EvalConfig{
Start: start,
End: end,
Step: step,
Deadline: deadline,
MayCache: mayCache,
}
result, err := promql.Exec(&ec, query)
if err != nil {
return fmt.Errorf("cannot execute %q: %s", query, err)
}
if ct-end < latencyOffset {
adjustLastPoints(result)
}
w.Header().Set("Content-Type", "application/json")
WriteQueryRangeResponse(w, result)
queryRangeDuration.UpdateDuration(startTime)
return nil
}
var queryRangeDuration = metrics.NewSummary(`vm_request_duration_seconds{path="/api/v1/query_range"}`)
// adjustLastPoints substitutes the last point values with the previous
// point values, since the last points may contain garbage.
func adjustLastPoints(tss []netstorage.Result) {
if len(tss) == 0 {
return
}
// Search for the last non-NaN value across all the timeseries.
lastNonNaNIdx := -1
for i := range tss {
r := &tss[i]
j := len(r.Values) - 1
for j >= 0 && math.IsNaN(r.Values[j]) {
j--
}
if j > lastNonNaNIdx {
lastNonNaNIdx = j
}
}
if lastNonNaNIdx == -1 {
// All timeseries contain only NaNs.
return
}
// Substitute last three values starting from lastNonNaNIdx
// with the previous values for each timeseries.
for i := range tss {
r := &tss[i]
for j := 0; j < 3; j++ {
idx := lastNonNaNIdx + j
if idx <= 0 || idx >= len(r.Values) {
continue
}
r.Values[idx] = r.Values[idx-1]
}
}
}
func getTime(r *http.Request, argKey string, defaultValue int64) int64 {
argValue := r.FormValue(argKey)
if len(argValue) == 0 {
return defaultValue
}
secs, err := strconv.ParseFloat(argValue, 64)
if err != nil {
// Try parsing string format
t, err := time.Parse(time.RFC3339, argValue)
if err != nil {
return defaultValue
}
secs = float64(t.UnixNano()) / 1e9
}
msecs := int64(secs * 1e3)
if msecs < minTimeMsecs || msecs > maxTimeMsecs {
return defaultValue
}
return msecs
}
const (
// These values prevent from overflow when storing msec-precision time in int64.
minTimeMsecs = int64(-1<<63) / 1e6
maxTimeMsecs = int64(1<<63-1) / 1e6
)
func getDuration(r *http.Request, argKey string, defaultValue int64) int64 {
argValue := r.FormValue(argKey)
if len(argValue) == 0 {
return defaultValue
}
secs, err := strconv.ParseFloat(argValue, 64)
if err != nil {
// Try parsing string format
d, err := time.ParseDuration(argValue)
if err != nil {
return defaultValue
}
secs = d.Seconds()
}
msecs := int64(secs * 1e3)
if msecs <= 0 || msecs > maxDurationMsecs {
return defaultValue
}
return msecs
}
const maxDurationMsecs = 100 * 365 * 24 * 3600 * 1000
func getDeadline(r *http.Request) netstorage.Deadline {
d := getDuration(r, "timeout", 0)
dMax := int64(maxQueryDuration.Seconds() * 1e3)
if d <= 0 || d > dMax {
d = dMax
}
timeout := time.Duration(d) * time.Millisecond
return netstorage.NewDeadline(timeout)
}
func getBool(r *http.Request, argKey string) bool {
argValue := r.FormValue(argKey)
switch strings.ToLower(argValue) {
case "", "0", "f", "false", "no":
return false
default:
return true
}
}
func currentTime() int64 {
return int64(time.Now().UTC().Unix()) * 1e3
}
func getTagFilterssFromMatches(matches []string) ([][]storage.TagFilter, error) {
tagFilterss := make([][]storage.TagFilter, 0, len(matches))
for _, match := range matches {
tagFilters, err := promql.ParseMetricSelector(match)
if err != nil {
return nil, fmt.Errorf("cannot parse %q: %s", match, err)
}
tagFilterss = append(tagFilterss, tagFilters)
}
return tagFilterss, nil
}

View File

@ -0,0 +1,33 @@
{% import (
"github.com/VictoriaMetrics/VictoriaMetrics/app/vmselect/netstorage"
) %}
{% stripspace %}
QueryRangeResponse generates response for /api/v1/query_range.
See https://prometheus.io/docs/prometheus/latest/querying/api/#range-queries
{% func QueryRangeResponse(rs []netstorage.Result) %}
{
"status":"success",
"data":{
"resultType":"matrix",
"result":[
{% if len(rs) > 0 %}
{%= queryRangeLine(&rs[0]) %}
{% code rs = rs[1:] %}
{% for i := range rs %}
,{%= queryRangeLine(&rs[i]) %}
{% endfor %}
{% endif %}
]
}
}
{% endfunc %}
{% func queryRangeLine(r *netstorage.Result) %}
{
"metric": {%= metricNameObject(&r.MetricName) %},
"values": {%= valuesWithTimestamps(r.Values, r.Timestamps) %}
}
{% endfunc %}
{% endstripspace %}

View File

@ -0,0 +1,118 @@
// Code generated by qtc from "query_range_response.qtpl". DO NOT EDIT.
// See https://github.com/valyala/quicktemplate for details.
//line app/vmselect/prometheus/query_range_response.qtpl:1
package prometheus
//line app/vmselect/prometheus/query_range_response.qtpl:1
import (
"github.com/VictoriaMetrics/VictoriaMetrics/app/vmselect/netstorage"
)
// QueryRangeResponse generates response for /api/v1/query_range.See https://prometheus.io/docs/prometheus/latest/querying/api/#range-queries
//line app/vmselect/prometheus/query_range_response.qtpl:8
import (
qtio422016 "io"
qt422016 "github.com/valyala/quicktemplate"
)
//line app/vmselect/prometheus/query_range_response.qtpl:8
var (
_ = qtio422016.Copy
_ = qt422016.AcquireByteBuffer
)
//line app/vmselect/prometheus/query_range_response.qtpl:8
func StreamQueryRangeResponse(qw422016 *qt422016.Writer, rs []netstorage.Result) {
//line app/vmselect/prometheus/query_range_response.qtpl:8
qw422016.N().S(`{"status":"success","data":{"resultType":"matrix","result":[`)
//line app/vmselect/prometheus/query_range_response.qtpl:14
if len(rs) > 0 {
//line app/vmselect/prometheus/query_range_response.qtpl:15
streamqueryRangeLine(qw422016, &rs[0])
//line app/vmselect/prometheus/query_range_response.qtpl:16
rs = rs[1:]
//line app/vmselect/prometheus/query_range_response.qtpl:17
for i := range rs {
//line app/vmselect/prometheus/query_range_response.qtpl:17
qw422016.N().S(`,`)
//line app/vmselect/prometheus/query_range_response.qtpl:18
streamqueryRangeLine(qw422016, &rs[i])
//line app/vmselect/prometheus/query_range_response.qtpl:19
}
//line app/vmselect/prometheus/query_range_response.qtpl:20
}
//line app/vmselect/prometheus/query_range_response.qtpl:20
qw422016.N().S(`]}}`)
//line app/vmselect/prometheus/query_range_response.qtpl:24
}
//line app/vmselect/prometheus/query_range_response.qtpl:24
func WriteQueryRangeResponse(qq422016 qtio422016.Writer, rs []netstorage.Result) {
//line app/vmselect/prometheus/query_range_response.qtpl:24
qw422016 := qt422016.AcquireWriter(qq422016)
//line app/vmselect/prometheus/query_range_response.qtpl:24
StreamQueryRangeResponse(qw422016, rs)
//line app/vmselect/prometheus/query_range_response.qtpl:24
qt422016.ReleaseWriter(qw422016)
//line app/vmselect/prometheus/query_range_response.qtpl:24
}
//line app/vmselect/prometheus/query_range_response.qtpl:24
func QueryRangeResponse(rs []netstorage.Result) string {
//line app/vmselect/prometheus/query_range_response.qtpl:24
qb422016 := qt422016.AcquireByteBuffer()
//line app/vmselect/prometheus/query_range_response.qtpl:24
WriteQueryRangeResponse(qb422016, rs)
//line app/vmselect/prometheus/query_range_response.qtpl:24
qs422016 := string(qb422016.B)
//line app/vmselect/prometheus/query_range_response.qtpl:24
qt422016.ReleaseByteBuffer(qb422016)
//line app/vmselect/prometheus/query_range_response.qtpl:24
return qs422016
//line app/vmselect/prometheus/query_range_response.qtpl:24
}
//line app/vmselect/prometheus/query_range_response.qtpl:26
func streamqueryRangeLine(qw422016 *qt422016.Writer, r *netstorage.Result) {
//line app/vmselect/prometheus/query_range_response.qtpl:26
qw422016.N().S(`{"metric":`)
//line app/vmselect/prometheus/query_range_response.qtpl:28
streammetricNameObject(qw422016, &r.MetricName)
//line app/vmselect/prometheus/query_range_response.qtpl:28
qw422016.N().S(`,"values":`)
//line app/vmselect/prometheus/query_range_response.qtpl:29
streamvaluesWithTimestamps(qw422016, r.Values, r.Timestamps)
//line app/vmselect/prometheus/query_range_response.qtpl:29
qw422016.N().S(`}`)
//line app/vmselect/prometheus/query_range_response.qtpl:31
}
//line app/vmselect/prometheus/query_range_response.qtpl:31
func writequeryRangeLine(qq422016 qtio422016.Writer, r *netstorage.Result) {
//line app/vmselect/prometheus/query_range_response.qtpl:31
qw422016 := qt422016.AcquireWriter(qq422016)
//line app/vmselect/prometheus/query_range_response.qtpl:31
streamqueryRangeLine(qw422016, r)
//line app/vmselect/prometheus/query_range_response.qtpl:31
qt422016.ReleaseWriter(qw422016)
//line app/vmselect/prometheus/query_range_response.qtpl:31
}
//line app/vmselect/prometheus/query_range_response.qtpl:31
func queryRangeLine(r *netstorage.Result) string {
//line app/vmselect/prometheus/query_range_response.qtpl:31
qb422016 := qt422016.AcquireByteBuffer()
//line app/vmselect/prometheus/query_range_response.qtpl:31
writequeryRangeLine(qb422016, r)
//line app/vmselect/prometheus/query_range_response.qtpl:31
qs422016 := string(qb422016.B)
//line app/vmselect/prometheus/query_range_response.qtpl:31
qt422016.ReleaseByteBuffer(qb422016)
//line app/vmselect/prometheus/query_range_response.qtpl:31
return qs422016
//line app/vmselect/prometheus/query_range_response.qtpl:31
}

View File

@ -0,0 +1,32 @@
{% import (
"github.com/VictoriaMetrics/VictoriaMetrics/app/vmselect/netstorage"
) %}
{% stripspace %}
QueryResponse generates response for /api/v1/query.
See https://prometheus.io/docs/prometheus/latest/querying/api/#instant-queries
{% func QueryResponse(rs []netstorage.Result) %}
{
"status":"success",
"data":{
"resultType":"vector",
"result":[
{% if len(rs) > 0 %}
{
"metric": {%= metricNameObject(&rs[0].MetricName) %},
"value": {%= metricRow(rs[0].Timestamps[0], rs[0].Values[0]) %}
}
{% code rs = rs[1:] %}
{% for i := range rs %}
{% code r := &rs[i] %}
,{
"metric": {%= metricNameObject(&r.MetricName) %},
"value": {%= metricRow(r.Timestamps[0], r.Values[0]) %}
}
{% endfor %}
{% endif %}
]
}
}
{% endfunc %}
{% endstripspace %}

View File

@ -0,0 +1,94 @@
// Code generated by qtc from "query_response.qtpl". DO NOT EDIT.
// See https://github.com/valyala/quicktemplate for details.
//line app/vmselect/prometheus/query_response.qtpl:1
package prometheus
//line app/vmselect/prometheus/query_response.qtpl:1
import (
"github.com/VictoriaMetrics/VictoriaMetrics/app/vmselect/netstorage"
)
// QueryResponse generates response for /api/v1/query.See https://prometheus.io/docs/prometheus/latest/querying/api/#instant-queries
//line app/vmselect/prometheus/query_response.qtpl:8
import (
qtio422016 "io"
qt422016 "github.com/valyala/quicktemplate"
)
//line app/vmselect/prometheus/query_response.qtpl:8
var (
_ = qtio422016.Copy
_ = qt422016.AcquireByteBuffer
)
//line app/vmselect/prometheus/query_response.qtpl:8
func StreamQueryResponse(qw422016 *qt422016.Writer, rs []netstorage.Result) {
//line app/vmselect/prometheus/query_response.qtpl:8
qw422016.N().S(`{"status":"success","data":{"resultType":"vector","result":[`)
//line app/vmselect/prometheus/query_response.qtpl:14
if len(rs) > 0 {
//line app/vmselect/prometheus/query_response.qtpl:14
qw422016.N().S(`{"metric":`)
//line app/vmselect/prometheus/query_response.qtpl:16
streammetricNameObject(qw422016, &rs[0].MetricName)
//line app/vmselect/prometheus/query_response.qtpl:16
qw422016.N().S(`,"value":`)
//line app/vmselect/prometheus/query_response.qtpl:17
streammetricRow(qw422016, rs[0].Timestamps[0], rs[0].Values[0])
//line app/vmselect/prometheus/query_response.qtpl:17
qw422016.N().S(`}`)
//line app/vmselect/prometheus/query_response.qtpl:19
rs = rs[1:]
//line app/vmselect/prometheus/query_response.qtpl:20
for i := range rs {
//line app/vmselect/prometheus/query_response.qtpl:21
r := &rs[i]
//line app/vmselect/prometheus/query_response.qtpl:21
qw422016.N().S(`,{"metric":`)
//line app/vmselect/prometheus/query_response.qtpl:23
streammetricNameObject(qw422016, &r.MetricName)
//line app/vmselect/prometheus/query_response.qtpl:23
qw422016.N().S(`,"value":`)
//line app/vmselect/prometheus/query_response.qtpl:24
streammetricRow(qw422016, r.Timestamps[0], r.Values[0])
//line app/vmselect/prometheus/query_response.qtpl:24
qw422016.N().S(`}`)
//line app/vmselect/prometheus/query_response.qtpl:26
}
//line app/vmselect/prometheus/query_response.qtpl:27
}
//line app/vmselect/prometheus/query_response.qtpl:27
qw422016.N().S(`]}}`)
//line app/vmselect/prometheus/query_response.qtpl:31
}
//line app/vmselect/prometheus/query_response.qtpl:31
func WriteQueryResponse(qq422016 qtio422016.Writer, rs []netstorage.Result) {
//line app/vmselect/prometheus/query_response.qtpl:31
qw422016 := qt422016.AcquireWriter(qq422016)
//line app/vmselect/prometheus/query_response.qtpl:31
StreamQueryResponse(qw422016, rs)
//line app/vmselect/prometheus/query_response.qtpl:31
qt422016.ReleaseWriter(qw422016)
//line app/vmselect/prometheus/query_response.qtpl:31
}
//line app/vmselect/prometheus/query_response.qtpl:31
func QueryResponse(rs []netstorage.Result) string {
//line app/vmselect/prometheus/query_response.qtpl:31
qb422016 := qt422016.AcquireByteBuffer()
//line app/vmselect/prometheus/query_response.qtpl:31
WriteQueryResponse(qb422016, rs)
//line app/vmselect/prometheus/query_response.qtpl:31
qs422016 := string(qb422016.B)
//line app/vmselect/prometheus/query_response.qtpl:31
qt422016.ReleaseByteBuffer(qb422016)
//line app/vmselect/prometheus/query_response.qtpl:31
return qs422016
//line app/vmselect/prometheus/query_response.qtpl:31
}

View File

@ -0,0 +1,9 @@
{% stripspace %}
SeriesCountResponse generates response for /api/v1/series/count .
{% func SeriesCountResponse(n uint64) %}
{
"status":"success",
"data":[{%d int(n) %}]
}
{% endfunc %}
{% endstripspace %}

View File

@ -0,0 +1,57 @@
// Code generated by qtc from "series_count_response.qtpl". DO NOT EDIT.
// See https://github.com/valyala/quicktemplate for details.
// SeriesCountResponse generates response for /api/v1/series/count .
//line app/vmselect/prometheus/series_count_response.qtpl:3
package prometheus
//line app/vmselect/prometheus/series_count_response.qtpl:3
import (
qtio422016 "io"
qt422016 "github.com/valyala/quicktemplate"
)
//line app/vmselect/prometheus/series_count_response.qtpl:3
var (
_ = qtio422016.Copy
_ = qt422016.AcquireByteBuffer
)
//line app/vmselect/prometheus/series_count_response.qtpl:3
func StreamSeriesCountResponse(qw422016 *qt422016.Writer, n uint64) {
//line app/vmselect/prometheus/series_count_response.qtpl:3
qw422016.N().S(`{"status":"success","data":[`)
//line app/vmselect/prometheus/series_count_response.qtpl:6
qw422016.N().D(int(n))
//line app/vmselect/prometheus/series_count_response.qtpl:6
qw422016.N().S(`]}`)
//line app/vmselect/prometheus/series_count_response.qtpl:8
}
//line app/vmselect/prometheus/series_count_response.qtpl:8
func WriteSeriesCountResponse(qq422016 qtio422016.Writer, n uint64) {
//line app/vmselect/prometheus/series_count_response.qtpl:8
qw422016 := qt422016.AcquireWriter(qq422016)
//line app/vmselect/prometheus/series_count_response.qtpl:8
StreamSeriesCountResponse(qw422016, n)
//line app/vmselect/prometheus/series_count_response.qtpl:8
qt422016.ReleaseWriter(qw422016)
//line app/vmselect/prometheus/series_count_response.qtpl:8
}
//line app/vmselect/prometheus/series_count_response.qtpl:8
func SeriesCountResponse(n uint64) string {
//line app/vmselect/prometheus/series_count_response.qtpl:8
qb422016 := qt422016.AcquireByteBuffer()
//line app/vmselect/prometheus/series_count_response.qtpl:8
WriteSeriesCountResponse(qb422016, n)
//line app/vmselect/prometheus/series_count_response.qtpl:8
qs422016 := string(qb422016.B)
//line app/vmselect/prometheus/series_count_response.qtpl:8
qt422016.ReleaseByteBuffer(qb422016)
//line app/vmselect/prometheus/series_count_response.qtpl:8
return qs422016
//line app/vmselect/prometheus/series_count_response.qtpl:8
}

View File

@ -0,0 +1,24 @@
{% import (
"github.com/valyala/quicktemplate"
) %}
{% stripspace %}
SeriesResponse generates response for /api/v1/series.
See https://prometheus.io/docs/prometheus/latest/querying/api/#finding-series-by-label-matchers
{% func SeriesResponse(resultsCh <-chan *quicktemplate.ByteBuffer) %}
{
"status":"success",
"data":[
{% code bb, ok := <-resultsCh %}
{% if ok %}
{%z= bb.B %}
{% code quicktemplate.ReleaseByteBuffer(bb) %}
{% for bb := range resultsCh %}
,{%z= bb.B %}
{% code quicktemplate.ReleaseByteBuffer(bb) %}
{% endfor %}
{% endif %}
]
}
{% endfunc %}
{% endstripspace %}

View File

@ -0,0 +1,83 @@
// Code generated by qtc from "series_response.qtpl". DO NOT EDIT.
// See https://github.com/valyala/quicktemplate for details.
//line app/vmselect/prometheus/series_response.qtpl:1
package prometheus
//line app/vmselect/prometheus/series_response.qtpl:1
import (
"github.com/valyala/quicktemplate"
)
// SeriesResponse generates response for /api/v1/series.See https://prometheus.io/docs/prometheus/latest/querying/api/#finding-series-by-label-matchers
//line app/vmselect/prometheus/series_response.qtpl:8
import (
qtio422016 "io"
qt422016 "github.com/valyala/quicktemplate"
)
//line app/vmselect/prometheus/series_response.qtpl:8
var (
_ = qtio422016.Copy
_ = qt422016.AcquireByteBuffer
)
//line app/vmselect/prometheus/series_response.qtpl:8
func StreamSeriesResponse(qw422016 *qt422016.Writer, resultsCh <-chan *quicktemplate.ByteBuffer) {
//line app/vmselect/prometheus/series_response.qtpl:8
qw422016.N().S(`{"status":"success","data":[`)
//line app/vmselect/prometheus/series_response.qtpl:12
bb, ok := <-resultsCh
//line app/vmselect/prometheus/series_response.qtpl:13
if ok {
//line app/vmselect/prometheus/series_response.qtpl:14
qw422016.N().Z(bb.B)
//line app/vmselect/prometheus/series_response.qtpl:15
quicktemplate.ReleaseByteBuffer(bb)
//line app/vmselect/prometheus/series_response.qtpl:16
for bb := range resultsCh {
//line app/vmselect/prometheus/series_response.qtpl:16
qw422016.N().S(`,`)
//line app/vmselect/prometheus/series_response.qtpl:17
qw422016.N().Z(bb.B)
//line app/vmselect/prometheus/series_response.qtpl:18
quicktemplate.ReleaseByteBuffer(bb)
//line app/vmselect/prometheus/series_response.qtpl:19
}
//line app/vmselect/prometheus/series_response.qtpl:20
}
//line app/vmselect/prometheus/series_response.qtpl:20
qw422016.N().S(`]}`)
//line app/vmselect/prometheus/series_response.qtpl:23
}
//line app/vmselect/prometheus/series_response.qtpl:23
func WriteSeriesResponse(qq422016 qtio422016.Writer, resultsCh <-chan *quicktemplate.ByteBuffer) {
//line app/vmselect/prometheus/series_response.qtpl:23
qw422016 := qt422016.AcquireWriter(qq422016)
//line app/vmselect/prometheus/series_response.qtpl:23
StreamSeriesResponse(qw422016, resultsCh)
//line app/vmselect/prometheus/series_response.qtpl:23
qt422016.ReleaseWriter(qw422016)
//line app/vmselect/prometheus/series_response.qtpl:23
}
//line app/vmselect/prometheus/series_response.qtpl:23
func SeriesResponse(resultsCh <-chan *quicktemplate.ByteBuffer) string {
//line app/vmselect/prometheus/series_response.qtpl:23
qb422016 := qt422016.AcquireByteBuffer()
//line app/vmselect/prometheus/series_response.qtpl:23
WriteSeriesResponse(qb422016, resultsCh)
//line app/vmselect/prometheus/series_response.qtpl:23
qs422016 := string(qb422016.B)
//line app/vmselect/prometheus/series_response.qtpl:23
qt422016.ReleaseByteBuffer(qb422016)
//line app/vmselect/prometheus/series_response.qtpl:23
return qs422016
//line app/vmselect/prometheus/series_response.qtpl:23
}

View File

@ -0,0 +1,47 @@
{% import (
"github.com/VictoriaMetrics/VictoriaMetrics/lib/storage"
) %}
{% stripspace %}
{% func metricNameObject(mn *storage.MetricName) %}
{
{% if len(mn.MetricGroup) > 0 %}
"__name__":{%qz= mn.MetricGroup %}{% if len(mn.Tags) > 0 %},{% endif %}
{% endif %}
{% for j := range mn.Tags %}
{% code tag := &mn.Tags[j] %}
{%qz= tag.Key %}:{%qz= tag.Value %}{% if j+1 < len(mn.Tags) %},{% endif %}
{% endfor %}
}
{% endfunc %}
{% func metricRow(timestamp int64, value float64) %}
[{%f= float64(timestamp)/1e3 %},"{%f= value %}"]
{% endfunc %}
{% func valuesWithTimestamps(values []float64, timestamps []int64) %}
[
{% if len(values) == 0 %}
{% return %}
{% endif %}
{% code /* inline metricRow call here for the sake of performance optimization */ %}
[{%f= float64(timestamps[0])/1e3 %},"{%f= values[0] %}"]
{% code
timestamps = timestamps[1:]
values = values[1:]
%}
{% if len(values) > 0 %}
{%code
// Remove bounds check inside the loop below
_ = timestamps[len(values)-1]
%}
{% for i, v := range values %}
{% code /* inline metricRow call here for the sake of performance optimization */ %}
,[{%f= float64(timestamps[i])/1e3 %},"{%f= v %}"]
{% endfor %}
{% endif %}
]
{% endfunc %}
{% endstripspace %}

View File

@ -0,0 +1,215 @@
// Code generated by qtc from "util.qtpl". DO NOT EDIT.
// See https://github.com/valyala/quicktemplate for details.
//line app/vmselect/prometheus/util.qtpl:1
package prometheus
//line app/vmselect/prometheus/util.qtpl:1
import (
"github.com/VictoriaMetrics/VictoriaMetrics/lib/storage"
)
//line app/vmselect/prometheus/util.qtpl:7
import (
qtio422016 "io"
qt422016 "github.com/valyala/quicktemplate"
)
//line app/vmselect/prometheus/util.qtpl:7
var (
_ = qtio422016.Copy
_ = qt422016.AcquireByteBuffer
)
//line app/vmselect/prometheus/util.qtpl:7
func streammetricNameObject(qw422016 *qt422016.Writer, mn *storage.MetricName) {
//line app/vmselect/prometheus/util.qtpl:7
qw422016.N().S(`{`)
//line app/vmselect/prometheus/util.qtpl:9
if len(mn.MetricGroup) > 0 {
//line app/vmselect/prometheus/util.qtpl:9
qw422016.N().S(`"__name__":`)
//line app/vmselect/prometheus/util.qtpl:10
qw422016.N().QZ(mn.MetricGroup)
//line app/vmselect/prometheus/util.qtpl:10
if len(mn.Tags) > 0 {
//line app/vmselect/prometheus/util.qtpl:10
qw422016.N().S(`,`)
//line app/vmselect/prometheus/util.qtpl:10
}
//line app/vmselect/prometheus/util.qtpl:11
}
//line app/vmselect/prometheus/util.qtpl:12
for j := range mn.Tags {
//line app/vmselect/prometheus/util.qtpl:13
tag := &mn.Tags[j]
//line app/vmselect/prometheus/util.qtpl:14
qw422016.N().QZ(tag.Key)
//line app/vmselect/prometheus/util.qtpl:14
qw422016.N().S(`:`)
//line app/vmselect/prometheus/util.qtpl:14
qw422016.N().QZ(tag.Value)
//line app/vmselect/prometheus/util.qtpl:14
if j+1 < len(mn.Tags) {
//line app/vmselect/prometheus/util.qtpl:14
qw422016.N().S(`,`)
//line app/vmselect/prometheus/util.qtpl:14
}
//line app/vmselect/prometheus/util.qtpl:15
}
//line app/vmselect/prometheus/util.qtpl:15
qw422016.N().S(`}`)
//line app/vmselect/prometheus/util.qtpl:17
}
//line app/vmselect/prometheus/util.qtpl:17
func writemetricNameObject(qq422016 qtio422016.Writer, mn *storage.MetricName) {
//line app/vmselect/prometheus/util.qtpl:17
qw422016 := qt422016.AcquireWriter(qq422016)
//line app/vmselect/prometheus/util.qtpl:17
streammetricNameObject(qw422016, mn)
//line app/vmselect/prometheus/util.qtpl:17
qt422016.ReleaseWriter(qw422016)
//line app/vmselect/prometheus/util.qtpl:17
}
//line app/vmselect/prometheus/util.qtpl:17
func metricNameObject(mn *storage.MetricName) string {
//line app/vmselect/prometheus/util.qtpl:17
qb422016 := qt422016.AcquireByteBuffer()
//line app/vmselect/prometheus/util.qtpl:17
writemetricNameObject(qb422016, mn)
//line app/vmselect/prometheus/util.qtpl:17
qs422016 := string(qb422016.B)
//line app/vmselect/prometheus/util.qtpl:17
qt422016.ReleaseByteBuffer(qb422016)
//line app/vmselect/prometheus/util.qtpl:17
return qs422016
//line app/vmselect/prometheus/util.qtpl:17
}
//line app/vmselect/prometheus/util.qtpl:19
func streammetricRow(qw422016 *qt422016.Writer, timestamp int64, value float64) {
//line app/vmselect/prometheus/util.qtpl:19
qw422016.N().S(`[`)
//line app/vmselect/prometheus/util.qtpl:20
qw422016.N().F(float64(timestamp) / 1e3)
//line app/vmselect/prometheus/util.qtpl:20
qw422016.N().S(`,"`)
//line app/vmselect/prometheus/util.qtpl:20
qw422016.N().F(value)
//line app/vmselect/prometheus/util.qtpl:20
qw422016.N().S(`"]`)
//line app/vmselect/prometheus/util.qtpl:21
}
//line app/vmselect/prometheus/util.qtpl:21
func writemetricRow(qq422016 qtio422016.Writer, timestamp int64, value float64) {
//line app/vmselect/prometheus/util.qtpl:21
qw422016 := qt422016.AcquireWriter(qq422016)
//line app/vmselect/prometheus/util.qtpl:21
streammetricRow(qw422016, timestamp, value)
//line app/vmselect/prometheus/util.qtpl:21
qt422016.ReleaseWriter(qw422016)
//line app/vmselect/prometheus/util.qtpl:21
}
//line app/vmselect/prometheus/util.qtpl:21
func metricRow(timestamp int64, value float64) string {
//line app/vmselect/prometheus/util.qtpl:21
qb422016 := qt422016.AcquireByteBuffer()
//line app/vmselect/prometheus/util.qtpl:21
writemetricRow(qb422016, timestamp, value)
//line app/vmselect/prometheus/util.qtpl:21
qs422016 := string(qb422016.B)
//line app/vmselect/prometheus/util.qtpl:21
qt422016.ReleaseByteBuffer(qb422016)
//line app/vmselect/prometheus/util.qtpl:21
return qs422016
//line app/vmselect/prometheus/util.qtpl:21
}
//line app/vmselect/prometheus/util.qtpl:23
func streamvaluesWithTimestamps(qw422016 *qt422016.Writer, values []float64, timestamps []int64) {
//line app/vmselect/prometheus/util.qtpl:23
qw422016.N().S(`[`)
//line app/vmselect/prometheus/util.qtpl:25
if len(values) == 0 {
//line app/vmselect/prometheus/util.qtpl:26
return
//line app/vmselect/prometheus/util.qtpl:27
}
//line app/vmselect/prometheus/util.qtpl:28
/* inline metricRow call here for the sake of performance optimization */
//line app/vmselect/prometheus/util.qtpl:28
qw422016.N().S(`[`)
//line app/vmselect/prometheus/util.qtpl:29
qw422016.N().F(float64(timestamps[0]) / 1e3)
//line app/vmselect/prometheus/util.qtpl:29
qw422016.N().S(`,"`)
//line app/vmselect/prometheus/util.qtpl:29
qw422016.N().F(values[0])
//line app/vmselect/prometheus/util.qtpl:29
qw422016.N().S(`"]`)
//line app/vmselect/prometheus/util.qtpl:31
timestamps = timestamps[1:]
values = values[1:]
//line app/vmselect/prometheus/util.qtpl:34
if len(values) > 0 {
//line app/vmselect/prometheus/util.qtpl:36
// Remove bounds check inside the loop below
_ = timestamps[len(values)-1]
//line app/vmselect/prometheus/util.qtpl:39
for i, v := range values {
//line app/vmselect/prometheus/util.qtpl:40
/* inline metricRow call here for the sake of performance optimization */
//line app/vmselect/prometheus/util.qtpl:40
qw422016.N().S(`,[`)
//line app/vmselect/prometheus/util.qtpl:41
qw422016.N().F(float64(timestamps[i]) / 1e3)
//line app/vmselect/prometheus/util.qtpl:41
qw422016.N().S(`,"`)
//line app/vmselect/prometheus/util.qtpl:41
qw422016.N().F(v)
//line app/vmselect/prometheus/util.qtpl:41
qw422016.N().S(`"]`)
//line app/vmselect/prometheus/util.qtpl:42
}
//line app/vmselect/prometheus/util.qtpl:43
}
//line app/vmselect/prometheus/util.qtpl:43
qw422016.N().S(`]`)
//line app/vmselect/prometheus/util.qtpl:45
}
//line app/vmselect/prometheus/util.qtpl:45
func writevaluesWithTimestamps(qq422016 qtio422016.Writer, values []float64, timestamps []int64) {
//line app/vmselect/prometheus/util.qtpl:45
qw422016 := qt422016.AcquireWriter(qq422016)
//line app/vmselect/prometheus/util.qtpl:45
streamvaluesWithTimestamps(qw422016, values, timestamps)
//line app/vmselect/prometheus/util.qtpl:45
qt422016.ReleaseWriter(qw422016)
//line app/vmselect/prometheus/util.qtpl:45
}
//line app/vmselect/prometheus/util.qtpl:45
func valuesWithTimestamps(values []float64, timestamps []int64) string {
//line app/vmselect/prometheus/util.qtpl:45
qb422016 := qt422016.AcquireByteBuffer()
//line app/vmselect/prometheus/util.qtpl:45
writevaluesWithTimestamps(qb422016, values, timestamps)
//line app/vmselect/prometheus/util.qtpl:45
qs422016 := string(qb422016.B)
//line app/vmselect/prometheus/util.qtpl:45
qt422016.ReleaseByteBuffer(qb422016)
//line app/vmselect/prometheus/util.qtpl:45
return qs422016
//line app/vmselect/prometheus/util.qtpl:45
}

469
app/vmselect/promql/aggr.go Normal file
View File

@ -0,0 +1,469 @@
package promql
import (
"fmt"
"math"
"sort"
"strconv"
"strings"
)
var aggrFuncs = map[string]aggrFunc{
// See https://prometheus.io/docs/prometheus/latest/querying/operators/#aggregation-operators
"sum": newAggrFunc(aggrFuncSum),
"min": newAggrFunc(aggrFuncMin),
"max": newAggrFunc(aggrFuncMax),
"avg": newAggrFunc(aggrFuncAvg),
"stddev": newAggrFunc(aggrFuncStddev),
"stdvar": newAggrFunc(aggrFuncStdvar),
"count": newAggrFunc(aggrFuncCount),
"count_values": aggrFuncCountValues,
"bottomk": newAggrFuncTopK(true),
"topk": newAggrFuncTopK(false),
"quantile": aggrFuncQuantile,
// Extended PromQL funcs
"median": aggrFuncMedian,
"limitk": aggrFuncLimitK,
"distinct": newAggrFunc(aggrFuncDistinct),
}
type aggrFunc func(afa *aggrFuncArg) ([]*timeseries, error)
type aggrFuncArg struct {
args [][]*timeseries
ae *aggrFuncExpr
ec *EvalConfig
}
func getAggrFunc(s string) aggrFunc {
s = strings.ToLower(s)
return aggrFuncs[s]
}
func isAggrFunc(s string) bool {
return getAggrFunc(s) != nil
}
func isAggrFuncModifier(s string) bool {
s = strings.ToLower(s)
switch s {
case "by", "without":
return true
default:
return false
}
}
func newAggrFunc(afe func(tss []*timeseries) []*timeseries) aggrFunc {
return func(afa *aggrFuncArg) ([]*timeseries, error) {
args := afa.args
if err := expectTransformArgsNum(args, 1); err != nil {
return nil, err
}
return aggrFuncExt(afe, args[0], &afa.ae.Modifier, false)
}
}
func aggrFuncExt(afe func(tss []*timeseries) []*timeseries, argOrig []*timeseries, modifier *modifierExpr, keepOriginal bool) ([]*timeseries, error) {
arg := copyTimeseriesMetricNames(argOrig)
// Filter out superflouos tags.
var groupTags []string
groupOp := "by"
if modifier.Op != "" {
groupTags = modifier.Args
groupOp = strings.ToLower(modifier.Op)
}
switch groupOp {
case "by":
for _, ts := range arg {
ts.MetricName.RemoveTagsOn(groupTags)
}
case "without":
for _, ts := range arg {
ts.MetricName.RemoveTagsIgnoring(groupTags)
}
default:
return nil, fmt.Errorf(`unknown modifier: %q`, groupOp)
}
// Perform grouping.
m := make(map[string][]*timeseries)
bb := bbPool.Get()
for i, ts := range arg {
bb.B = marshalMetricNameSorted(bb.B[:0], &ts.MetricName)
if keepOriginal {
ts = argOrig[i]
}
m[string(bb.B)] = append(m[string(bb.B)], ts)
}
bbPool.Put(bb)
rvs := make([]*timeseries, 0, len(m))
for _, tss := range m {
rv := afe(tss)
rvs = append(rvs, rv...)
}
return rvs, nil
}
func aggrFuncSum(tss []*timeseries) []*timeseries {
if len(tss) == 1 {
// Fast path - nothing to sum.
return tss
}
dst := tss[0]
for i := range dst.Values {
sum := float64(0)
count := 0
for _, ts := range tss {
if math.IsNaN(ts.Values[i]) {
continue
}
sum += ts.Values[i]
count++
}
if count == 0 {
sum = nan
}
dst.Values[i] = sum
}
return tss[:1]
}
func aggrFuncMin(tss []*timeseries) []*timeseries {
if len(tss) == 1 {
// Fast path - nothing to min.
return tss
}
dst := tss[0]
for i := range dst.Values {
min := dst.Values[i]
for _, ts := range tss {
if math.IsNaN(min) || ts.Values[i] < min {
min = ts.Values[i]
}
}
dst.Values[i] = min
}
return tss[:1]
}
func aggrFuncMax(tss []*timeseries) []*timeseries {
if len(tss) == 1 {
// Fast path - nothing to max.
return tss
}
dst := tss[0]
for i := range dst.Values {
max := dst.Values[i]
for _, ts := range tss {
if math.IsNaN(max) || ts.Values[i] > max {
max = ts.Values[i]
}
}
dst.Values[i] = max
}
return tss[:1]
}
func aggrFuncAvg(tss []*timeseries) []*timeseries {
if len(tss) == 1 {
// Fast path - nothing to avg.
return tss
}
dst := tss[0]
for i := range dst.Values {
// Do not use `Rapid calculation methods` at https://en.wikipedia.org/wiki/Standard_deviation,
// since it is slower and has no obvious benefits in increased precision.
var sum float64
count := 0
for _, ts := range tss {
v := ts.Values[i]
if math.IsNaN(v) {
continue
}
count++
sum += v
}
avg := nan
if count > 0 {
avg = sum / float64(count)
}
dst.Values[i] = avg
}
return tss[:1]
}
func aggrFuncStddev(tss []*timeseries) []*timeseries {
if len(tss) == 1 {
// Fast path - stddev over a single time series is zero
values := tss[0].Values
for i, v := range values {
if !math.IsNaN(v) {
values[i] = 0
}
}
return tss
}
rvs := aggrFuncStdvar(tss)
dst := rvs[0]
for i, v := range dst.Values {
dst.Values[i] = math.Sqrt(v)
}
return rvs
}
func aggrFuncStdvar(tss []*timeseries) []*timeseries {
if len(tss) == 1 {
// Fast path - stdvar over a single time series is zero
values := tss[0].Values
for i, v := range values {
if !math.IsNaN(v) {
values[i] = 0
}
}
return tss
}
dst := tss[0]
for i := range dst.Values {
// See `Rapid calculation methods` at https://en.wikipedia.org/wiki/Standard_deviation
var avg float64
var count float64
var q float64
for _, ts := range tss {
v := ts.Values[i]
if math.IsNaN(v) {
continue
}
count++
avgNew := avg + (v-avg)/count
q += (v - avg) * (v - avgNew)
avg = avgNew
}
if count == 0 {
q = nan
}
dst.Values[i] = q / count
}
return tss[:1]
}
func aggrFuncCount(tss []*timeseries) []*timeseries {
dst := tss[0]
for i := range dst.Values {
count := 0
for _, ts := range tss {
if math.IsNaN(ts.Values[i]) {
continue
}
count++
}
dst.Values[i] = float64(count)
}
return tss[:1]
}
func aggrFuncDistinct(tss []*timeseries) []*timeseries {
dst := tss[0]
m := make(map[float64]struct{}, len(tss))
for i := range dst.Values {
for _, ts := range tss {
v := ts.Values[i]
if math.IsNaN(v) {
continue
}
m[v] = struct{}{}
}
n := float64(len(m))
if n == 0 {
n = nan
}
dst.Values[i] = n
for k := range m {
delete(m, k)
}
}
return tss[:1]
}
func aggrFuncCountValues(afa *aggrFuncArg) ([]*timeseries, error) {
args := afa.args
if err := expectTransformArgsNum(args, 2); err != nil {
return nil, err
}
dstLabel, err := getString(args[0], 0)
if err != nil {
return nil, err
}
afe := func(tss []*timeseries) []*timeseries {
m := make(map[float64]bool)
for _, ts := range tss {
for _, v := range ts.Values {
m[v] = true
}
}
values := make([]float64, 0, len(m))
for v := range m {
values = append(values, v)
}
sort.Float64s(values)
var rvs []*timeseries
for _, v := range values {
var dst timeseries
dst.CopyFrom(tss[0])
dst.MetricName.RemoveTag(dstLabel)
dst.MetricName.AddTag(dstLabel, strconv.FormatFloat(v, 'g', -1, 64))
for i := range dst.Values {
count := 0
for _, ts := range tss {
if ts.Values[i] == v {
count++
}
}
n := float64(count)
if n == 0 {
n = nan
}
dst.Values[i] = n
}
rvs = append(rvs, &dst)
}
return rvs
}
return aggrFuncExt(afe, args[1], &afa.ae.Modifier, false)
}
func newAggrFuncTopK(isReverse bool) aggrFunc {
return func(afa *aggrFuncArg) ([]*timeseries, error) {
args := afa.args
if err := expectTransformArgsNum(args, 2); err != nil {
return nil, err
}
ks, err := getScalar(args[0], 0)
if err != nil {
return nil, err
}
afe := func(tss []*timeseries) []*timeseries {
rvs := tss
for n := range rvs[0].Values {
sort.Slice(rvs, func(i, j int) bool {
a := rvs[i].Values[n]
b := rvs[j].Values[n]
cmp := lessWithNaNs(a, b)
if isReverse {
cmp = !cmp
}
return cmp
})
if math.IsNaN(ks[n]) {
ks[n] = 0
}
k := int(ks[n])
if k < 0 {
k = 0
}
if k > len(rvs) {
k = len(rvs)
}
for _, ts := range rvs[:len(rvs)-k] {
ts.Values[n] = nan
}
}
return rvs
}
return aggrFuncExt(afe, args[1], &afa.ae.Modifier, true)
}
}
func aggrFuncLimitK(afa *aggrFuncArg) ([]*timeseries, error) {
args := afa.args
if err := expectTransformArgsNum(args, 2); err != nil {
return nil, err
}
ks, err := getScalar(args[0], 0)
if err != nil {
return nil, err
}
maxK := 0
for _, kf := range ks {
k := int(kf)
if k > maxK {
maxK = k
}
}
afe := func(tss []*timeseries) []*timeseries {
if len(tss) > maxK {
tss = tss[:maxK]
}
for i, kf := range ks {
k := int(kf)
if k < 0 {
k = 0
}
for j := k; j < len(tss); j++ {
tss[j].Values[i] = nan
}
}
return tss
}
return aggrFuncExt(afe, args[1], &afa.ae.Modifier, true)
}
func aggrFuncQuantile(afa *aggrFuncArg) ([]*timeseries, error) {
args := afa.args
if err := expectTransformArgsNum(args, 2); err != nil {
return nil, err
}
phis, err := getScalar(args[0], 0)
if err != nil {
return nil, err
}
afe := newAggrQuantileFunc(phis)
return aggrFuncExt(afe, args[1], &afa.ae.Modifier, false)
}
func aggrFuncMedian(afa *aggrFuncArg) ([]*timeseries, error) {
args := afa.args
if err := expectTransformArgsNum(args, 1); err != nil {
return nil, err
}
phis := evalNumber(afa.ec, 0.5)[0].Values
afe := newAggrQuantileFunc(phis)
return aggrFuncExt(afe, args[0], &afa.ae.Modifier, false)
}
func newAggrQuantileFunc(phis []float64) func(tss []*timeseries) []*timeseries {
return func(tss []*timeseries) []*timeseries {
dst := tss[0]
for n := range dst.Values {
sort.Slice(tss, func(i, j int) bool {
a := tss[i].Values[n]
b := tss[j].Values[n]
return lessWithNaNs(a, b)
})
phi := phis[n]
if math.IsNaN(phi) {
phi = 1
}
if phi < 0 {
phi = 0
}
if phi > 1 {
phi = 1
}
idx := int(math.Round(float64(len(tss)-1) * phi))
dst.Values[n] = tss[idx].Values[n]
}
return tss[:1]
}
}
func lessWithNaNs(a, b float64) bool {
if math.IsNaN(a) {
return !math.IsNaN(b)
}
return a < b
}

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@ -0,0 +1,30 @@
package promql
import (
"testing"
)
func TestIsAggrFuncModifierSuccess(t *testing.T) {
f := func(s string) {
t.Helper()
if !isAggrFuncModifier(s) {
t.Fatalf("expecting valid funcModifier: %q", s)
}
}
f("by")
f("BY")
f("without")
f("Without")
}
func TestIsAggrFuncModifierError(t *testing.T) {
f := func(s string) {
t.Helper()
if isAggrFuncModifier(s) {
t.Fatalf("unexpected valid funcModifier: %q", s)
}
}
f("byfix")
f("on")
f("ignoring")
}

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@ -0,0 +1,3 @@
package promql
const maxByteSliceLen = 1 << 40

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@ -0,0 +1,3 @@
package promql
const maxByteSliceLen = 1<<31 - 1

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@ -0,0 +1,499 @@
package promql
import (
"fmt"
"math"
"strings"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/logger"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/storage"
)
var binaryOpFuncs = map[string]binaryOpFunc{
"+": newBinaryOpArithFunc(binaryOpPlus),
"-": newBinaryOpArithFunc(binaryOpMinus),
"*": newBinaryOpArithFunc(binaryOpMul),
"/": newBinaryOpArithFunc(binaryOpDiv),
"%": newBinaryOpArithFunc(binaryOpMod),
"^": newBinaryOpArithFunc(binaryOpPow),
// cmp ops
"==": newBinaryOpCmpFunc(binaryOpEq),
"!=": newBinaryOpCmpFunc(binaryOpNeq),
">": newBinaryOpCmpFunc(binaryOpGt),
"<": newBinaryOpCmpFunc(binaryOpLt),
">=": newBinaryOpCmpFunc(binaryOpGte),
"<=": newBinaryOpCmpFunc(binaryOpLte),
// logical set ops
"and": binaryOpAnd,
"or": binaryOpOr,
"unless": binaryOpUnless,
// New op
"if": newBinaryOpArithFunc(binaryOpIf),
"ifnot": newBinaryOpArithFunc(binaryOpIfnot),
"default": newBinaryOpArithFunc(binaryOpDefault),
}
var binaryOpPriorities = map[string]int{
"default": -1,
"if": 0,
"ifnot": 0,
// See https://prometheus.io/docs/prometheus/latest/querying/operators/#binary-operator-precedence
"or": 1,
"and": 2,
"unless": 2,
"==": 3,
"!=": 3,
"<": 3,
">": 3,
"<=": 3,
">=": 3,
"+": 4,
"-": 4,
"*": 5,
"/": 5,
"%": 5,
"^": 6,
}
func getBinaryOpFunc(op string) binaryOpFunc {
op = strings.ToLower(op)
return binaryOpFuncs[op]
}
func isBinaryOp(op string) bool {
return getBinaryOpFunc(op) != nil
}
func binaryOpPriority(op string) int {
op = strings.ToLower(op)
return binaryOpPriorities[op]
}
func scanBinaryOpPrefix(s string) int {
n := 0
for op := range binaryOpFuncs {
if len(s) < len(op) {
continue
}
ss := strings.ToLower(s[:len(op)])
if ss == op && len(op) > n {
n = len(op)
}
}
return n
}
func isRightAssociativeBinaryOp(op string) bool {
// See https://prometheus.io/docs/prometheus/latest/querying/operators/#binary-operator-precedence
return op == "^"
}
func isBinaryOpGroupModifier(s string) bool {
s = strings.ToLower(s)
switch s {
// See https://prometheus.io/docs/prometheus/latest/querying/operators/#vector-matching
case "on", "ignoring":
return true
default:
return false
}
}
func isBinaryOpJoinModifier(s string) bool {
s = strings.ToLower(s)
switch s {
case "group_left", "group_right":
return true
default:
return false
}
}
func isBinaryOpBoolModifier(s string) bool {
s = strings.ToLower(s)
return s == "bool"
}
func isBinaryOpCmp(op string) bool {
switch op {
case "==", "!=", ">", "<", ">=", "<=":
return true
default:
return false
}
}
func isBinaryOpLogicalSet(op string) bool {
op = strings.ToLower(op)
switch op {
case "and", "or", "unless":
return true
default:
return false
}
}
func binaryOpConstants(op string, left, right float64, isBool bool) float64 {
if isBinaryOpCmp(op) {
evalCmp := func(cf func(left, right float64) bool) float64 {
if isBool {
if cf(left, right) {
return 1
}
return 0
}
if cf(left, right) {
return left
}
return nan
}
switch op {
case "==":
left = evalCmp(binaryOpEq)
case "!=":
left = evalCmp(binaryOpNeq)
case ">":
left = evalCmp(binaryOpGt)
case "<":
left = evalCmp(binaryOpLt)
case ">=":
left = evalCmp(binaryOpGte)
case "<=":
left = evalCmp(binaryOpLte)
default:
logger.Panicf("BUG: unexpected comparison binaryOp: %q", op)
}
} else {
switch op {
case "+":
left = binaryOpPlus(left, right)
case "-":
left = binaryOpMinus(left, right)
case "*":
left = binaryOpMul(left, right)
case "/":
left = binaryOpDiv(left, right)
case "%":
left = binaryOpMod(left, right)
case "^":
left = binaryOpPow(left, right)
case "and":
// Nothing to do
case "or":
// Nothing to do
case "unless":
left = nan
case "default":
left = binaryOpDefault(left, right)
case "if":
left = binaryOpIf(left, right)
case "ifnot":
left = binaryOpIfnot(left, right)
default:
logger.Panicf("BUG: unexpected non-comparison binaryOp: %q", op)
}
}
return left
}
type binaryOpFuncArg struct {
be *binaryOpExpr
left []*timeseries
right []*timeseries
}
type binaryOpFunc func(bfa *binaryOpFuncArg) ([]*timeseries, error)
func newBinaryOpCmpFunc(cf func(left, right float64) bool) binaryOpFunc {
cfe := func(left, right float64, isBool bool) float64 {
if !isBool {
if cf(left, right) {
return left
}
return nan
}
if cf(left, right) {
return 1
}
return 0
}
return newBinaryOpFunc(cfe)
}
func newBinaryOpArithFunc(af func(left, right float64) float64) binaryOpFunc {
afe := func(left, right float64, isBool bool) float64 {
return af(left, right)
}
return newBinaryOpFunc(afe)
}
func newBinaryOpFunc(bf func(left, right float64, isBool bool) float64) binaryOpFunc {
return func(bfa *binaryOpFuncArg) ([]*timeseries, error) {
isBool := bfa.be.Bool
left, right, dst, err := adjustBinaryOpTags(bfa.be, bfa.left, bfa.right)
if err != nil {
return nil, err
}
if len(left) != len(right) || len(left) != len(dst) {
logger.Panicf("BUG: len(left) must match len(right) and len(dst); got %d vs %d vs %d", len(left), len(right), len(dst))
}
for i, tsLeft := range left {
leftValues := tsLeft.Values
rightValues := right[i].Values
dstValues := dst[i].Values
if len(leftValues) != len(rightValues) || len(leftValues) != len(dstValues) {
logger.Panicf("BUG: len(leftVaues) must match len(rightValues) and len(dstValues); got %d vs %d vs %d",
len(leftValues), len(rightValues), len(dstValues))
}
for j, a := range leftValues {
b := rightValues[j]
dstValues[j] = bf(a, b, isBool)
}
}
return dst, nil
}
}
func adjustBinaryOpTags(be *binaryOpExpr, left, right []*timeseries) ([]*timeseries, []*timeseries, []*timeseries, error) {
if len(be.GroupModifier.Op) == 0 && len(be.JoinModifier.Op) == 0 {
if isScalar(left) {
// Fast path: `scalar op vector`
rvsLeft := make([]*timeseries, len(right))
tsLeft := left[0]
for i, tsRight := range right {
tsRight.MetricName.ResetMetricGroup()
rvsLeft[i] = tsLeft
}
return rvsLeft, right, right, nil
}
if isScalar(right) {
// Fast path: `vector op scalar`
rvsRight := make([]*timeseries, len(left))
tsRight := right[0]
for i, tsLeft := range left {
tsLeft.MetricName.ResetMetricGroup()
rvsRight[i] = tsRight
}
return left, rvsRight, left, nil
}
}
// Slow path: `vector op vector` or `a op {on|ignoring} {group_left|group_right} b`
ensureOneX := func(side string, tss []*timeseries) error {
if len(tss) == 0 {
logger.Panicf("BUG: tss must contain at least one value")
}
if len(tss) == 1 {
return nil
}
return fmt.Errorf(`duplicate timeseries on the %s side of %q: %s %s`, side, be.Op, stringMetricTags(&tss[0].MetricName), be.GroupModifier.AppendString(nil))
}
var rvsLeft, rvsRight []*timeseries
mLeft, mRight := createTimeseriesMapByTagSet(be, left, right)
joinOp := strings.ToLower(be.JoinModifier.Op)
joinTags := be.JoinModifier.Args
for k, tssLeft := range mLeft {
tssRight := mRight[k]
if len(tssRight) == 0 {
continue
}
switch joinOp {
case "group_left":
if err := ensureOneX("right", tssRight); err != nil {
return nil, nil, nil, err
}
src := tssRight[0]
for _, ts := range tssLeft {
ts.MetricName.AddMissingTags(joinTags, &src.MetricName)
rvsLeft = append(rvsLeft, ts)
rvsRight = append(rvsRight, src)
}
case "group_right":
if err := ensureOneX("left", tssLeft); err != nil {
return nil, nil, nil, err
}
src := tssLeft[0]
for _, ts := range tssRight {
ts.MetricName.AddMissingTags(joinTags, &src.MetricName)
rvsLeft = append(rvsLeft, src)
rvsRight = append(rvsRight, ts)
}
case "":
if err := ensureOneX("left", tssLeft); err != nil {
return nil, nil, nil, err
}
if err := ensureOneX("right", tssRight); err != nil {
return nil, nil, nil, err
}
tssLeft[0].MetricName.ResetMetricGroup()
rvsLeft = append(rvsLeft, tssLeft[0])
rvsRight = append(rvsRight, tssRight[0])
default:
return nil, nil, nil, fmt.Errorf(`unexpected join modifier %q`, joinOp)
}
}
dst := rvsLeft
if joinOp == "group_right" {
dst = rvsRight
}
return rvsLeft, rvsRight, dst, nil
}
func binaryOpPlus(left, right float64) float64 {
return left + right
}
func binaryOpMinus(left, right float64) float64 {
return left - right
}
func binaryOpMul(left, right float64) float64 {
return left * right
}
func binaryOpDiv(left, right float64) float64 {
return left / right
}
func binaryOpMod(left, right float64) float64 {
return math.Mod(left, right)
}
func binaryOpPow(left, right float64) float64 {
return math.Pow(left, right)
}
func binaryOpDefault(left, right float64) float64 {
if math.IsNaN(left) {
return right
}
return left
}
func binaryOpIf(left, right float64) float64 {
if math.IsNaN(right) {
return nan
}
return left
}
func binaryOpIfnot(left, right float64) float64 {
if math.IsNaN(right) {
return left
}
return nan
}
func binaryOpEq(left, right float64) bool {
return left == right
}
func binaryOpNeq(left, right float64) bool {
return left != right
}
func binaryOpGt(left, right float64) bool {
return left > right
}
func binaryOpLt(left, right float64) bool {
return left < right
}
func binaryOpGte(left, right float64) bool {
return left >= right
}
func binaryOpLte(left, right float64) bool {
return left <= right
}
func binaryOpAnd(bfa *binaryOpFuncArg) ([]*timeseries, error) {
mLeft, mRight := createTimeseriesMapByTagSet(bfa.be, bfa.left, bfa.right)
var rvs []*timeseries
for k := range mRight {
if tss := mLeft[k]; tss != nil {
rvs = append(rvs, tss...)
}
}
return rvs, nil
}
func binaryOpOr(bfa *binaryOpFuncArg) ([]*timeseries, error) {
mLeft, mRight := createTimeseriesMapByTagSet(bfa.be, bfa.left, bfa.right)
var rvs []*timeseries
for _, tss := range mLeft {
rvs = append(rvs, tss...)
}
for k, tss := range mRight {
if mLeft[k] == nil {
rvs = append(rvs, tss...)
}
}
return rvs, nil
}
func binaryOpUnless(bfa *binaryOpFuncArg) ([]*timeseries, error) {
mLeft, mRight := createTimeseriesMapByTagSet(bfa.be, bfa.left, bfa.right)
var rvs []*timeseries
for k, tss := range mLeft {
if mRight[k] == nil {
rvs = append(rvs, tss...)
}
}
return rvs, nil
}
func createTimeseriesMapByTagSet(be *binaryOpExpr, left, right []*timeseries) (map[string][]*timeseries, map[string][]*timeseries) {
groupTags := be.GroupModifier.Args
groupOp := strings.ToLower(be.GroupModifier.Op)
if len(groupOp) == 0 {
groupOp = "ignoring"
}
getTagsMap := func(arg []*timeseries) map[string][]*timeseries {
bb := bbPool.Get()
m := make(map[string][]*timeseries, len(arg))
mn := storage.GetMetricName()
for _, ts := range arg {
mn.CopyFrom(&ts.MetricName)
mn.ResetMetricGroup()
switch groupOp {
case "on":
mn.RemoveTagsOn(groupTags)
case "ignoring":
mn.RemoveTagsIgnoring(groupTags)
default:
logger.Panicf("BUG: unexpected binary op modifier %q", groupOp)
}
bb.B = marshalMetricTagsSorted(bb.B[:0], mn)
m[string(bb.B)] = append(m[string(bb.B)], ts)
}
storage.PutMetricName(mn)
bbPool.Put(bb)
return m
}
mLeft := getTagsMap(left)
mRight := getTagsMap(right)
return mLeft, mRight
}
func isScalar(arg []*timeseries) bool {
if len(arg) != 1 {
return false
}
mn := &arg[0].MetricName
if len(mn.MetricGroup) > 0 {
return false
}
return len(mn.Tags) == 0
}

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@ -0,0 +1,125 @@
package promql
import (
"testing"
)
func TestIsBinaryOpSuccess(t *testing.T) {
f := func(s string) {
t.Helper()
if !isBinaryOp(s) {
t.Fatalf("expecting valid binaryOp: %q", s)
}
}
f("and")
f("AND")
f("unless")
f("unleSS")
f("==")
f("!=")
f(">=")
f("<=")
f("or")
f("Or")
f("+")
f("-")
f("*")
f("/")
f("%")
f("^")
f(">")
f("<")
}
func TestIsBinaryOpError(t *testing.T) {
f := func(s string) {
t.Helper()
if isBinaryOp(s) {
t.Fatalf("unexpected valid binaryOp: %q", s)
}
}
f("foobar")
f("=~")
f("!~")
f("=")
f("<==")
f("234")
}
func TestIsBinaryOpGroupModifierSuccess(t *testing.T) {
f := func(s string) {
t.Helper()
if !isBinaryOpGroupModifier(s) {
t.Fatalf("expecting valid binaryOpGroupModifier: %q", s)
}
}
f("on")
f("ON")
f("oN")
f("ignoring")
f("IGnoring")
}
func TestIsBinaryOpGroupModifierError(t *testing.T) {
f := func(s string) {
t.Helper()
if isBinaryOpGroupModifier(s) {
t.Fatalf("unexpected valid binaryOpGroupModifier: %q", s)
}
}
f("off")
f("by")
f("without")
f("123")
}
func TestIsBinaryOpJoinModifierSuccess(t *testing.T) {
f := func(s string) {
t.Helper()
if !isBinaryOpJoinModifier(s) {
t.Fatalf("expecting valid binaryOpJoinModifier: %q", s)
}
}
f("group_left")
f("group_right")
f("group_LEft")
f("GRoup_RighT")
}
func TestIsBinaryOpJoinModifierError(t *testing.T) {
f := func(s string) {
t.Helper()
if isBinaryOpJoinModifier(s) {
t.Fatalf("unexpected valid binaryOpJoinModifier: %q", s)
}
}
f("on")
f("by")
f("without")
f("123")
}
func TestIsBinaryOpBoolModifierSuccess(t *testing.T) {
f := func(s string) {
t.Helper()
if !isBinaryOpBoolModifier(s) {
t.Fatalf("expecting valid binaryOpBoolModifier: %q", s)
}
}
f("bool")
f("bOOL")
f("BOOL")
}
func TestIsBinaryOpBoolModifierError(t *testing.T) {
f := func(s string) {
t.Helper()
if isBinaryOpBoolModifier(s) {
t.Fatalf("unexpected valid binaryOpBoolModifier: %q", s)
}
}
f("on")
f("by")
f("without")
f("123")
}

655
app/vmselect/promql/eval.go Normal file
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package promql
import (
"flag"
"fmt"
"math"
"runtime"
"sync"
"github.com/VictoriaMetrics/VictoriaMetrics/app/vmselect/netstorage"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/bytesutil"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/logger"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/memory"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/storage"
"github.com/VictoriaMetrics/metrics"
)
var (
maxPointsPerTimeseries = flag.Int("search.maxPointsPerTimeseries", 10e3, "The maximum points per a single timeseries returned from the search")
)
// The minumum number of points per timeseries for enabling time rounding.
// This improves cache hit ratio for frequently requested queries over
// big time ranges.
const minTimeseriesPointsForTimeRounding = 50
// ValidateMaxPointsPerTimeseries checks the maximum number of points that
// may be returned per each time series.
//
// The number mustn't exceed -search.maxPointsPerTimeseries.
func ValidateMaxPointsPerTimeseries(start, end, step int64) error {
points := (end-start)/step + 1
if uint64(points) > uint64(*maxPointsPerTimeseries) {
return fmt.Errorf(`too many points for the given step=%d, start=%d and end=%d: %d; cannot exceed %d points`,
step, start, end, uint64(points), *maxPointsPerTimeseries)
}
return nil
}
// AdjustStartEnd adjusts start and end values, so response caching may be enabled.
//
// See EvalConfig.mayCache for details.
func AdjustStartEnd(start, end, step int64) (int64, int64) {
points := (end-start)/step + 1
if points < minTimeseriesPointsForTimeRounding {
// Too small number of points for rounding.
return start, end
}
// Round start and end to values divisible by step in order
// to enable response caching (see EvalConfig.mayCache).
// Round start to the nearest smaller value divisible by step.
start -= start % step
// Round end to the nearest bigger value divisible by step.
adjust := end % step
if adjust > 0 {
end += step - adjust
}
return start, end
}
// EvalConfig is the configuration required for query evaluation via Exec
type EvalConfig struct {
Start int64
End int64
Step int64
Deadline netstorage.Deadline
MayCache bool
timestamps []int64
timestampsOnce sync.Once
}
// newEvalConfig returns new EvalConfig copy from src.
func newEvalConfig(src *EvalConfig) *EvalConfig {
var ec EvalConfig
ec.Start = src.Start
ec.End = src.End
ec.Step = src.Step
ec.Deadline = src.Deadline
ec.MayCache = src.MayCache
// do not copy src.timestamps - they must be generated again.
return &ec
}
func (ec *EvalConfig) validate() {
if ec.Start > ec.End {
logger.Panicf("BUG: start cannot exceed end; got %d vs %d", ec.Start, ec.End)
}
if ec.Step <= 0 {
logger.Panicf("BUG: step must be greater than 0; got %d", ec.Step)
}
}
func (ec *EvalConfig) mayCache() bool {
if !ec.MayCache {
return false
}
if ec.Start%ec.Step != 0 {
return false
}
if ec.End%ec.Step != 0 {
return false
}
return true
}
func (ec *EvalConfig) getSharedTimestamps() []int64 {
ec.timestampsOnce.Do(ec.timestampsInit)
return ec.timestamps
}
func (ec *EvalConfig) timestampsInit() {
ec.timestamps = getTimestamps(ec.Start, ec.End, ec.Step)
}
func getTimestamps(start, end, step int64) []int64 {
// Sanity checks.
if step <= 0 {
logger.Panicf("BUG: Step must be bigger than 0; got %d", step)
}
if start > end {
logger.Panicf("BUG: Start cannot exceed End; got %d vs %d", start, end)
}
if err := ValidateMaxPointsPerTimeseries(start, end, step); err != nil {
logger.Panicf("BUG: %s; this must be validated before the call to getTimestamps", err)
}
// Prepare timestamps.
points := 1 + (end-start)/step
timestamps := make([]int64, points)
for i := range timestamps {
timestamps[i] = start
start += step
}
return timestamps
}
func evalExpr(ec *EvalConfig, e expr) ([]*timeseries, error) {
if me, ok := e.(*metricExpr); ok {
re := &rollupExpr{
Expr: me,
}
rv, err := evalRollupFunc(ec, "default_rollup", rollupDefault, re)
if err != nil {
return nil, fmt.Errorf(`cannot evaluate %q: %s`, me.AppendString(nil), err)
}
return rv, nil
}
if re, ok := e.(*rollupExpr); ok {
rv, err := evalRollupFunc(ec, "default_rollup", rollupDefault, re)
if err != nil {
return nil, fmt.Errorf(`cannot evaluate %q: %s`, re.AppendString(nil), err)
}
return rv, nil
}
if fe, ok := e.(*funcExpr); ok {
nrf := getRollupFunc(fe.Name)
if nrf == nil {
args, err := evalExprs(ec, fe.Args)
if err != nil {
return nil, err
}
tf := getTransformFunc(fe.Name)
if tf == nil {
return nil, fmt.Errorf(`unknown func %q`, fe.Name)
}
tfa := &transformFuncArg{
ec: ec,
fe: fe,
args: args,
}
rv, err := tf(tfa)
if err != nil {
return nil, fmt.Errorf(`cannot evaluate %q: %s`, fe.AppendString(nil), err)
}
return rv, nil
}
args, re, err := evalRollupFuncArgs(ec, fe)
if err != nil {
return nil, err
}
rf, err := nrf(args)
if err != nil {
return nil, err
}
rv, err := evalRollupFunc(ec, fe.Name, rf, re)
if err != nil {
return nil, fmt.Errorf(`cannot evaluate %q: %s`, fe.AppendString(nil), err)
}
return rv, nil
}
if ae, ok := e.(*aggrFuncExpr); ok {
args, err := evalExprs(ec, ae.Args)
if err != nil {
return nil, err
}
af := getAggrFunc(ae.Name)
if af == nil {
return nil, fmt.Errorf(`unknown func %q`, ae.Name)
}
afa := &aggrFuncArg{
ae: ae,
args: args,
ec: ec,
}
rv, err := af(afa)
if err != nil {
return nil, fmt.Errorf(`cannot evaluate %q: %s`, ae.AppendString(nil), err)
}
return rv, nil
}
if be, ok := e.(*binaryOpExpr); ok {
left, err := evalExpr(ec, be.Left)
if err != nil {
return nil, err
}
right, err := evalExpr(ec, be.Right)
if err != nil {
return nil, err
}
bf := getBinaryOpFunc(be.Op)
if bf == nil {
return nil, fmt.Errorf(`unknown binary op %q`, be.Op)
}
bfa := &binaryOpFuncArg{
be: be,
left: left,
right: right,
}
rv, err := bf(bfa)
if err != nil {
return nil, fmt.Errorf(`cannot evaluate %q: %s`, be.AppendString(nil), err)
}
return rv, nil
}
if ne, ok := e.(*numberExpr); ok {
rv := evalNumber(ec, ne.N)
return rv, nil
}
if se, ok := e.(*stringExpr); ok {
rv := evalString(ec, se.S)
return rv, nil
}
return nil, fmt.Errorf("unexpected expression %q", e.AppendString(nil))
}
func evalExprs(ec *EvalConfig, es []expr) ([][]*timeseries, error) {
var rvs [][]*timeseries
for _, e := range es {
rv, err := evalExpr(ec, e)
if err != nil {
return nil, err
}
rvs = append(rvs, rv)
}
return rvs, nil
}
func evalRollupFuncArgs(ec *EvalConfig, fe *funcExpr) ([]interface{}, *rollupExpr, error) {
var re *rollupExpr
rollupArgIdx := getRollupArgIdx(fe.Name)
args := make([]interface{}, len(fe.Args))
for i, arg := range fe.Args {
if i == rollupArgIdx {
re = getRollupExprArg(arg)
args[i] = re
continue
}
ts, err := evalExpr(ec, arg)
if err != nil {
return nil, nil, fmt.Errorf("cannot evaluate arg #%d for %q: %s", i+1, fe.AppendString(nil), err)
}
args[i] = ts
}
return args, re, nil
}
func getRollupExprArg(arg expr) *rollupExpr {
re, ok := arg.(*rollupExpr)
if !ok {
// Wrap non-rollup arg into rollupExpr.
return &rollupExpr{
Expr: arg,
}
}
if len(re.Step) == 0 && !re.InheritStep {
// Return standard rollup if it doesn't set step.
return re
}
me, ok := re.Expr.(*metricExpr)
if !ok {
// arg contains subquery.
return re
}
// Convert me[w:step] -> default_rollup(me)[w:step]
reNew := *re
reNew.Expr = &funcExpr{
Name: "default_rollup",
Args: []expr{
&rollupExpr{Expr: me},
},
}
return &reNew
}
func evalRollupFunc(ec *EvalConfig, name string, rf rollupFunc, re *rollupExpr) ([]*timeseries, error) {
ecNew := ec
var offset int64
if len(re.Offset) > 0 {
var err error
offset, err = DurationValue(re.Offset, ec.Step)
if err != nil {
return nil, err
}
ecNew = newEvalConfig(ec)
ecNew.Start -= offset
ecNew.End -= offset
ecNew.Start, ecNew.End = AdjustStartEnd(ecNew.Start, ecNew.End, ecNew.Step)
}
var rvs []*timeseries
var err error
if me, ok := re.Expr.(*metricExpr); ok {
if me.IsEmpty() {
rvs = evalNumber(ecNew, nan)
} else {
var window int64
if len(re.Window) > 0 {
window, err = DurationValue(re.Window, ec.Step)
if err != nil {
return nil, err
}
}
rvs, err = evalRollupFuncWithMetricExpr(ecNew, name, rf, me, window)
}
} else {
rvs, err = evalRollupFuncWithSubquery(ecNew, name, rf, re)
}
if err != nil {
return nil, err
}
if offset != 0 && len(rvs) > 0 {
// Make a copy of timestamps, since they may be used in other values.
srcTimestamps := rvs[0].Timestamps
dstTimestamps := append([]int64{}, srcTimestamps...)
for i := range dstTimestamps {
dstTimestamps[i] += offset
}
for _, ts := range rvs {
ts.Timestamps = dstTimestamps
}
}
return rvs, nil
}
func evalRollupFuncWithSubquery(ec *EvalConfig, name string, rf rollupFunc, re *rollupExpr) ([]*timeseries, error) {
// Do not use rollupResultCacheV here, since it works only with metricExpr.
var step int64
if len(re.Step) > 0 {
var err error
step, err = DurationValue(re.Step, ec.Step)
if err != nil {
return nil, err
}
} else {
step = ec.Step
}
var window int64
if len(re.Window) > 0 {
var err error
window, err = DurationValue(re.Window, ec.Step)
if err != nil {
return nil, err
}
}
ecSQ := newEvalConfig(ec)
ecSQ.Start -= window + maxSilenceInterval
ecSQ.End += step
ecSQ.Step = step
if err := ValidateMaxPointsPerTimeseries(ecSQ.Start, ecSQ.End, ecSQ.Step); err != nil {
return nil, err
}
ecSQ.Start, ecSQ.End = AdjustStartEnd(ecSQ.Start, ecSQ.End, ecSQ.Step)
tssSQ, err := evalExpr(ecSQ, re.Expr)
if err != nil {
return nil, err
}
sharedTimestamps := getTimestamps(ec.Start, ec.End, ec.Step)
preFunc, rcs := getRollupConfigs(name, rf, ec.Start, ec.End, ec.Step, window, sharedTimestamps)
tss := make([]*timeseries, 0, len(tssSQ)*len(rcs))
var tssLock sync.Mutex
doParallel(tssSQ, func(tsSQ *timeseries, values []float64, timestamps []int64) ([]float64, []int64) {
values, timestamps = removeNanValues(values[:0], timestamps[:0], tsSQ.Values, tsSQ.Timestamps)
preFunc(values, timestamps)
for _, rc := range rcs {
var ts timeseries
ts.MetricName.CopyFrom(&tsSQ.MetricName)
if len(rc.TagValue) > 0 {
ts.MetricName.AddTag("rollup", rc.TagValue)
}
ts.Values = rc.Do(ts.Values[:0], values, timestamps)
ts.Timestamps = sharedTimestamps
ts.denyReuse = true
tssLock.Lock()
tss = append(tss, &ts)
tssLock.Unlock()
}
return values, timestamps
})
if !rollupFuncsKeepMetricGroup[name] {
tss = copyTimeseriesMetricNames(tss)
for _, ts := range tss {
ts.MetricName.ResetMetricGroup()
}
}
return tss, nil
}
func doParallel(tss []*timeseries, f func(ts *timeseries, values []float64, timestamps []int64) ([]float64, []int64)) {
concurrency := runtime.GOMAXPROCS(-1)
if concurrency > len(tss) {
concurrency = len(tss)
}
workCh := make(chan *timeseries, concurrency)
var wg sync.WaitGroup
wg.Add(concurrency)
for i := 0; i < concurrency; i++ {
go func() {
defer wg.Done()
var tmpValues []float64
var tmpTimestamps []int64
for ts := range workCh {
tmpValues, tmpTimestamps = f(ts, tmpValues, tmpTimestamps)
}
}()
}
for _, ts := range tss {
workCh <- ts
}
close(workCh)
wg.Wait()
}
func removeNanValues(dstValues []float64, dstTimestamps []int64, values []float64, timestamps []int64) ([]float64, []int64) {
hasNan := false
for _, v := range values {
if math.IsNaN(v) {
hasNan = true
}
}
if !hasNan {
// Fast path - no NaNs.
dstValues = append(dstValues, values...)
dstTimestamps = append(dstTimestamps, timestamps...)
return dstValues, dstTimestamps
}
// Slow path - remove NaNs.
for i, v := range values {
if math.IsNaN(v) {
continue
}
dstValues = append(dstValues, v)
dstTimestamps = append(dstTimestamps, timestamps[i])
}
return dstValues, dstTimestamps
}
func getMaxPointsPerRollup() int {
maxPointsPerRollupOnce.Do(func() {
n := memory.Allowed() / 16 / 8
if n <= 16 {
n = 16
}
maxPointsPerRollup = n
})
return maxPointsPerRollup
}
var (
maxPointsPerRollup int
maxPointsPerRollupOnce sync.Once
)
var (
rollupResultCacheFullHits = metrics.NewCounter(`vm_rollup_result_cache_full_hits_total`)
rollupResultCachePartialHits = metrics.NewCounter(`vm_rollup_result_cache_partial_hits_total`)
rollupResultCacheMiss = metrics.NewCounter(`vm_rollup_result_cache_miss_total`)
)
func evalRollupFuncWithMetricExpr(ec *EvalConfig, name string, rf rollupFunc, me *metricExpr, window int64) ([]*timeseries, error) {
// Search for partial results in cache.
tssCached, start := rollupResultCacheV.Get(name, ec, me, window)
if start > ec.End {
// The result is fully cached.
rollupResultCacheFullHits.Inc()
return tssCached, nil
}
if start > ec.Start {
rollupResultCachePartialHits.Inc()
} else {
rollupResultCacheMiss.Inc()
}
// Fetch the remaining part of the result.
sq := &storage.SearchQuery{
MinTimestamp: start - window - maxSilenceInterval,
MaxTimestamp: ec.End + ec.Step,
TagFilterss: [][]storage.TagFilter{me.TagFilters},
}
rss, err := netstorage.ProcessSearchQuery(sq, ec.Deadline)
if err != nil {
return nil, err
}
rssLen := rss.Len()
if rssLen == 0 {
rss.Cancel()
// Add missing points until ec.End.
// Do not cache the result, since missing points
// may be backfilled in the future.
tss := mergeTimeseries(tssCached, nil, start, ec)
return tss, nil
}
sharedTimestamps := getTimestamps(start, ec.End, ec.Step)
preFunc, rcs := getRollupConfigs(name, rf, start, ec.End, ec.Step, window, sharedTimestamps)
// Verify timeseries fit available memory after the rollup.
// Take into account points from tssCached.
pointsPerTimeseries := 1 + (ec.End-ec.Start)/ec.Step
if uint64(pointsPerTimeseries) > uint64(getMaxPointsPerRollup()/rssLen/len(rcs)) {
rss.Cancel()
return nil, fmt.Errorf("cannot process more than %d data points for %d time series with %d points in each time series; "+
"possible solutions are: reducing the number of matching time series; switching to node with more RAM; increasing `step` query arg (%gs)",
getMaxPointsPerRollup(), rssLen*len(rcs), pointsPerTimeseries, float64(ec.Step)/1e3)
}
// Evaluate rollup
tss := make([]*timeseries, 0, rssLen*len(rcs))
var tssLock sync.Mutex
err = rss.RunParallel(func(rs *netstorage.Result) {
preFunc(rs.Values, rs.Timestamps)
for _, rc := range rcs {
var ts timeseries
ts.MetricName.CopyFrom(&rs.MetricName)
if len(rc.TagValue) > 0 {
ts.MetricName.AddTag("rollup", rc.TagValue)
}
ts.Values = rc.Do(ts.Values[:0], rs.Values, rs.Timestamps)
ts.Timestamps = sharedTimestamps
ts.denyReuse = true
tssLock.Lock()
tss = append(tss, &ts)
tssLock.Unlock()
}
})
if err != nil {
return nil, err
}
if !rollupFuncsKeepMetricGroup[name] {
tss = copyTimeseriesMetricNames(tss)
for _, ts := range tss {
ts.MetricName.ResetMetricGroup()
}
}
tss = mergeTimeseries(tssCached, tss, start, ec)
rollupResultCacheV.Put(name, ec, me, window, tss)
return tss, nil
}
func getRollupConfigs(name string, rf rollupFunc, start, end, step, window int64, sharedTimestamps []int64) (func(values []float64, timestamps []int64), []*rollupConfig) {
preFunc := func(values []float64, timestamps []int64) {}
if rollupFuncsRemoveCounterResets[name] {
preFunc = func(values []float64, timestamps []int64) {
removeCounterResets(values)
}
}
newRollupConfig := func(rf rollupFunc, tagValue string) *rollupConfig {
return &rollupConfig{
TagValue: tagValue,
Func: rf,
Start: start,
End: end,
Step: step,
Window: window,
Timestamps: sharedTimestamps,
}
}
appendRollupConfigs := func(dst []*rollupConfig) []*rollupConfig {
dst = append(dst, newRollupConfig(rollupMin, "min"))
dst = append(dst, newRollupConfig(rollupMax, "max"))
dst = append(dst, newRollupConfig(rollupAvg, "avg"))
return dst
}
var rcs []*rollupConfig
switch name {
case "rollup":
rcs = appendRollupConfigs(rcs)
case "rollup_rate", "rollup_deriv":
preFuncPrev := preFunc
preFunc = func(values []float64, timestamps []int64) {
preFuncPrev(values, timestamps)
derivValues(values, timestamps)
}
rcs = appendRollupConfigs(rcs)
case "rollup_increase", "rollup_delta":
preFuncPrev := preFunc
preFunc = func(values []float64, timestamps []int64) {
preFuncPrev(values, timestamps)
deltaValues(values)
}
rcs = appendRollupConfigs(rcs)
default:
rcs = append(rcs, newRollupConfig(rf, ""))
}
return preFunc, rcs
}
var bbPool bytesutil.ByteBufferPool
func evalNumber(ec *EvalConfig, n float64) []*timeseries {
var ts timeseries
ts.denyReuse = true
timestamps := ec.getSharedTimestamps()
values := make([]float64, len(timestamps))
for i := range timestamps {
values[i] = n
}
ts.Values = values
ts.Timestamps = timestamps
return []*timeseries{&ts}
}
func evalString(ec *EvalConfig, s string) []*timeseries {
rv := evalNumber(ec, nan)
rv[0].MetricName.MetricGroup = append(rv[0].MetricName.MetricGroup[:0], s...)
return rv
}
func evalTime(ec *EvalConfig) []*timeseries {
rv := evalNumber(ec, nan)
timestamps := rv[0].Timestamps
values := rv[0].Values
for i, ts := range timestamps {
values[i] = float64(ts) * 1e-3
}
return rv
}

216
app/vmselect/promql/exec.go Normal file
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package promql
import (
"fmt"
"math"
"sort"
"sync"
"sync/atomic"
"github.com/VictoriaMetrics/VictoriaMetrics/app/vmselect/netstorage"
"github.com/VictoriaMetrics/metrics"
)
// ExpandWithExprs expands WITH expressions inside q and returns the resulting
// PromQL without WITH expressions.
func ExpandWithExprs(q string) (string, error) {
e, err := parsePromQLWithCache(q)
if err != nil {
return "", err
}
buf := e.AppendString(nil)
return string(buf), nil
}
// Exec executes q for the given ec until the deadline.
func Exec(ec *EvalConfig, q string) ([]netstorage.Result, error) {
ec.validate()
e, err := parsePromQLWithCache(q)
if err != nil {
return nil, err
}
// Add an additional point to the end. This point is used
// in calculating the last value for rate, deriv, increase
// and delta funcs.
ec.End += ec.Step
rv, err := evalExpr(ec, e)
if err != nil {
return nil, err
}
// Remove the additional point at the end.
for _, ts := range rv {
ts.Values = ts.Values[:len(ts.Values)-1]
// ts.Timestamps may be shared between timeseries, so truncate it with len(ts.Values) instead of len(ts.Timestamps)-1
ts.Timestamps = ts.Timestamps[:len(ts.Values)]
}
ec.End -= ec.Step
maySort := maySortResults(e, rv)
result, err := timeseriesToResult(rv, maySort)
if err != nil {
return nil, err
}
return result, err
}
func maySortResults(e expr, tss []*timeseries) bool {
if len(tss) > 100 {
// There is no sense in sorting a lot of results
return false
}
fe, ok := e.(*funcExpr)
if !ok {
return true
}
switch fe.Name {
case "sort", "sort_desc":
return false
default:
return true
}
}
func timeseriesToResult(tss []*timeseries, maySort bool) ([]netstorage.Result, error) {
tss = removeNaNs(tss)
result := make([]netstorage.Result, len(tss))
m := make(map[string]bool)
bb := bbPool.Get()
for i, ts := range tss {
bb.B = marshalMetricNameSorted(bb.B[:0], &ts.MetricName)
if m[string(bb.B)] {
return nil, fmt.Errorf(`duplicate output timeseries: %s%s`, ts.MetricName.MetricGroup, stringMetricName(&ts.MetricName))
}
m[string(bb.B)] = true
rs := &result[i]
rs.MetricNameMarshaled = append(rs.MetricNameMarshaled[:0], bb.B...)
rs.MetricName.CopyFrom(&ts.MetricName)
rs.Values = append(rs.Values[:0], ts.Values...)
rs.Timestamps = append(rs.Timestamps[:0], ts.Timestamps...)
}
bbPool.Put(bb)
if maySort {
sort.Slice(result, func(i, j int) bool {
return string(result[i].MetricNameMarshaled) < string(result[j].MetricNameMarshaled)
})
}
return result, nil
}
func removeNaNs(tss []*timeseries) []*timeseries {
rvs := tss[:0]
for _, ts := range tss {
nans := 0
for _, v := range ts.Values {
if math.IsNaN(v) {
nans++
}
}
if nans == len(ts.Values) {
// Skip timeseries with all NaNs.
continue
}
rvs = append(rvs, ts)
}
return rvs
}
func parsePromQLWithCache(q string) (expr, error) {
pcv := parseCacheV.Get(q)
if pcv == nil {
e, err := parsePromQL(q)
pcv = &parseCacheValue{
e: e,
err: err,
}
parseCacheV.Put(q, pcv)
}
if pcv.err != nil {
return nil, pcv.err
}
return pcv.e, nil
}
var parseCacheV = func() *parseCache {
pc := &parseCache{
m: make(map[string]*parseCacheValue),
}
metrics.NewGauge(`vm_cache_requests_total{type="promql/parse"}`, func() float64 {
return float64(pc.Requests())
})
metrics.NewGauge(`vm_cache_misses_total{type="promql/parse"}`, func() float64 {
return float64(pc.Misses())
})
metrics.NewGauge(`vm_cache_entries{type="promql/parse"}`, func() float64 {
return float64(pc.Len())
})
return pc
}()
const parseCacheMaxLen = 10e3
type parseCacheValue struct {
e expr
err error
}
type parseCache struct {
m map[string]*parseCacheValue
mu sync.RWMutex
requests uint64
misses uint64
}
func (pc *parseCache) Requests() uint64 {
return atomic.LoadUint64(&pc.requests)
}
func (pc *parseCache) Misses() uint64 {
return atomic.LoadUint64(&pc.misses)
}
func (pc *parseCache) Len() uint64 {
pc.mu.RLock()
n := len(pc.m)
pc.mu.RUnlock()
return uint64(n)
}
func (pc *parseCache) Get(q string) *parseCacheValue {
atomic.AddUint64(&pc.requests, 1)
pc.mu.RLock()
pcv := pc.m[q]
pc.mu.RUnlock()
if pcv == nil {
atomic.AddUint64(&pc.misses, 1)
}
return pcv
}
func (pc *parseCache) Put(q string, pcv *parseCacheValue) {
pc.mu.Lock()
overflow := len(pc.m) - parseCacheMaxLen
if overflow > 0 {
// Remove 10% of items from the cache.
overflow = int(float64(len(pc.m)) * 0.1)
for k := range pc.m {
delete(pc.m, k)
overflow--
if overflow <= 0 {
break
}
}
}
pc.m[q] = pcv
pc.mu.Unlock()
}

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package promql
import (
"fmt"
"strconv"
"strings"
)
type lexer struct {
// Token contains the currently parsed token.
// An empty token means EOF.
Token string
prevTokens []string
nextTokens []string
sOrig string
sTail string
err error
}
func (lex *lexer) Context() string {
return fmt.Sprintf("%s%s", lex.Token, lex.sTail)
}
func (lex *lexer) Init(s string) {
lex.Token = ""
lex.prevTokens = nil
lex.nextTokens = nil
lex.err = nil
lex.sOrig = s
lex.sTail = s
}
func (lex *lexer) Next() error {
if lex.err != nil {
return lex.err
}
lex.prevTokens = append(lex.prevTokens, lex.Token)
if len(lex.nextTokens) > 0 {
lex.Token = lex.nextTokens[len(lex.nextTokens)-1]
lex.nextTokens = lex.nextTokens[:len(lex.nextTokens)-1]
return nil
}
token, err := lex.next()
if err != nil {
lex.err = err
return err
}
lex.Token = token
return nil
}
func (lex *lexer) next() (string, error) {
again:
// Skip whitespace
s := lex.sTail
i := 0
for i < len(s) && isSpaceChar(s[i]) {
i++
}
s = s[i:]
lex.sTail = s
if len(s) == 0 {
return "", nil
}
var token string
var err error
switch s[0] {
case '#':
// Skip comment till the end of string
s = s[1:]
n := strings.IndexByte(s, '\n')
if n < 0 {
return "", nil
}
lex.sTail = s[n+1:]
goto again
case '{', '}', '[', ']', '(', ')', ',':
token = s[:1]
goto tokenFoundLabel
}
if isIdentPrefix(s) {
token, err = scanIdent(s)
if err != nil {
return "", err
}
goto tokenFoundLabel
}
if isStringPrefix(s) {
token, err = scanString(s)
if err != nil {
return "", err
}
goto tokenFoundLabel
}
if n := scanBinaryOpPrefix(s); n > 0 {
token = s[:n]
goto tokenFoundLabel
}
if n := scanTagFilterOpPrefix(s); n > 0 {
token = s[:n]
goto tokenFoundLabel
}
if n := scanDuration(s); n > 0 {
token = s[:n]
goto tokenFoundLabel
}
if isPositiveNumberPrefix(s) {
token, err = scanPositiveNumber(s)
if err != nil {
return "", err
}
goto tokenFoundLabel
}
return "", fmt.Errorf("cannot recognize %q", s)
tokenFoundLabel:
lex.sTail = s[len(token):]
return token, nil
}
func scanString(s string) (string, error) {
if len(s) < 2 {
return "", fmt.Errorf("cannot find end of string in %q", s)
}
quote := s[0]
i := 1
for {
n := strings.IndexByte(s[i:], quote)
if n < 0 {
return "", fmt.Errorf("cannot find closing quote %ch for the string %q", quote, s)
}
i += n
bs := 0
for bs < i && s[i-bs-1] == '\\' {
bs++
}
if bs%2 == 0 {
token := s[:i+1]
return token, nil
}
i++
}
}
func scanPositiveNumber(s string) (string, error) {
if strings.HasPrefix(s, "Inf") {
return "Inf", nil
}
if strings.HasPrefix(s, "NaN") {
return "NaN", nil
}
// Scan integer part. It may be empty if fractional part exists.
i := 0
for i < len(s) && isDecimalChar(s[i]) {
i++
}
if i == len(s) {
if i == 0 {
return "", fmt.Errorf("number cannot be empty")
}
return s, nil
}
if s[i] != '.' && s[i] != 'e' && s[i] != 'E' {
return s[:i], nil
}
if s[i] == '.' {
// Scan fractional part. It cannot be empty.
i++
j := i
for j < len(s) && isDecimalChar(s[j]) {
j++
}
if j == i {
return "", fmt.Errorf("missing fractional part in %q", s)
}
i = j
if i == len(s) {
return s, nil
}
}
if s[i] != 'e' && s[i] != 'E' {
return s[:i], nil
}
i++
// Scan exponent part.
if i == len(s) {
return "", fmt.Errorf("missing exponent part in %q", s)
}
if s[i] == '-' || s[i] == '+' {
i++
}
j := i
for j < len(s) && isDecimalChar(s[j]) {
j++
}
if j == i {
return "", fmt.Errorf("missing exponent part in %q", s)
}
return s[:j], nil
}
func scanIdent(s string) (string, error) {
if len(s) == 0 {
return "", fmt.Errorf("ident cannot be empty")
}
i := 0
for i < len(s) && isIdentChar(s[i]) {
i++
}
return s[:i], nil
}
func (lex *lexer) Prev() {
lex.nextTokens = append(lex.nextTokens, lex.Token)
lex.Token = lex.prevTokens[len(lex.prevTokens)-1]
lex.prevTokens = lex.prevTokens[:len(lex.prevTokens)-1]
}
func isEOF(s string) bool {
return len(s) == 0
}
func scanTagFilterOpPrefix(s string) int {
if len(s) >= 2 {
switch s[:2] {
case "=~", "!~", "!=":
return 2
}
}
if len(s) >= 1 {
if s[0] == '=' {
return 1
}
}
return -1
}
func isOffset(s string) bool {
s = strings.ToLower(s)
return s == "offset"
}
func isStringPrefix(s string) bool {
if len(s) == 0 {
return false
}
switch s[0] {
// See https://prometheus.io/docs/prometheus/latest/querying/basics/#string-literals
case '"', '\'', '`':
return true
default:
return false
}
}
func isPositiveNumberPrefix(s string) bool {
if len(s) == 0 {
return false
}
if isDecimalChar(s[0]) {
return true
}
// Check for .234 numbers
if s[0] != '.' || len(s) < 2 {
return strings.HasPrefix(s, "Inf") || strings.HasPrefix(s, "NaN")
}
return isDecimalChar(s[1])
}
func isDuration(s string) bool {
n := scanDuration(s)
return n == len(s)
}
// DurationValue returns the duration in milliseconds for the given s
// and the given step.
func DurationValue(s string, step int64) (int64, error) {
n := scanDuration(s)
if n != len(s) {
return 0, fmt.Errorf("cannot parse duration %q", s)
}
f, err := strconv.ParseFloat(s[:len(s)-1], 64)
if err != nil {
return 0, fmt.Errorf("cannot parse duration %q: %s", s, err)
}
var mp float64
switch s[len(s)-1] {
case 's':
mp = 1
case 'm':
mp = 60
case 'h':
mp = 60 * 60
case 'd':
mp = 24 * 60 * 60
case 'w':
mp = 7 * 24 * 60 * 60
case 'y':
mp = 365 * 24 * 60 * 60
case 'i':
mp = float64(step) / 1e3
default:
return 0, fmt.Errorf("invalid duration suffix in %q", s)
}
return int64(mp * f * 1e3), nil
}
func scanDuration(s string) int {
i := 0
for i < len(s) && isDecimalChar(s[i]) {
i++
}
if i == 0 || i == len(s) {
return -1
}
if s[i] == '.' {
j := i
i++
for i < len(s) && isDecimalChar(s[i]) {
i++
}
if i == j || i == len(s) {
return -1
}
}
switch s[i] {
case 's', 'm', 'h', 'd', 'w', 'y', 'i':
return i + 1
default:
return -1
}
}
func isDecimalChar(ch byte) bool {
return ch >= '0' && ch <= '9'
}
func isIdentPrefix(s string) bool {
if len(s) == 0 {
return false
}
return isFirstIdentChar(s[0])
}
func isFirstIdentChar(ch byte) bool {
if ch >= 'a' && ch <= 'z' || ch >= 'A' && ch <= 'Z' {
return true
}
return ch == '_' || ch == ':'
}
func isIdentChar(ch byte) bool {
if isFirstIdentChar(ch) {
return true
}
return isDecimalChar(ch) || ch == ':' || ch == '.'
}
func isSpaceChar(ch byte) bool {
switch ch {
case ' ', '\t', '\n', '\v', '\f', '\r':
return true
default:
return false
}
}

View File

@ -0,0 +1,295 @@
package promql
import (
"reflect"
"testing"
)
func TestLexerNextPrev(t *testing.T) {
var lex lexer
lex.Init("foo bar baz")
if lex.Token != "" {
t.Fatalf("unexpected token got: %q; want %q", lex.Token, "")
}
if err := lex.Next(); err != nil {
t.Fatalf("unexpeted error: %s", err)
}
if lex.Token != "foo" {
t.Fatalf("unexpected token got: %q; want %q", lex.Token, "foo")
}
// Rewind before the first item.
lex.Prev()
if lex.Token != "" {
t.Fatalf("unexpected token got: %q; want %q", lex.Token, "")
}
if err := lex.Next(); err != nil {
t.Fatalf("unexpected error: %s", err)
}
if lex.Token != "foo" {
t.Fatalf("unexpected token got: %q; want %q", lex.Token, "foo")
}
if err := lex.Next(); err != nil {
t.Fatalf("unexpected error: %s", err)
}
if lex.Token != "bar" {
t.Fatalf("unexpected token got: %q; want %q", lex.Token, "bar")
}
// Rewind to the first item.
lex.Prev()
if lex.Token != "foo" {
t.Fatalf("unexpected token got: %q; want %q", lex.Token, "foo")
}
if err := lex.Next(); err != nil {
t.Fatalf("unexpected error: %s", err)
}
if lex.Token != "bar" {
t.Fatalf("unexpected token got: %q; want %q", lex.Token, "bar")
}
if err := lex.Next(); err != nil {
t.Fatalf("unexpected error: %s", err)
}
if lex.Token != "baz" {
t.Fatalf("unexpected token got: %q; want %q", lex.Token, "baz")
}
// Go beyond the token stream.
if err := lex.Next(); err != nil {
t.Fatalf("unexpected error: %s", err)
}
if lex.Token != "" {
t.Fatalf("unexpected token got: %q; want %q", lex.Token, "")
}
if !isEOF(lex.Token) {
t.Fatalf("expecting eof")
}
lex.Prev()
if lex.Token != "baz" {
t.Fatalf("unexpected token got: %q; want %q", lex.Token, "baz")
}
// Go multiple times lex.Next() beyond token stream.
if err := lex.Next(); err != nil {
t.Fatalf("unexpected error: %s", err)
}
if lex.Token != "" {
t.Fatalf("unexpected token got: %q; want %q", lex.Token, "")
}
if !isEOF(lex.Token) {
t.Fatalf("expecting eof")
}
if err := lex.Next(); err != nil {
t.Fatalf("unexpected error: %s", err)
}
if lex.Token != "" {
t.Fatalf("unexpected token got: %q; want %q", lex.Token, "")
}
if !isEOF(lex.Token) {
t.Fatalf("expecting eof")
}
lex.Prev()
if lex.Token != "" {
t.Fatalf("unexpected token got: %q; want %q", lex.Token, "")
}
if !isEOF(lex.Token) {
t.Fatalf("expecting eof")
}
}
func TestLexerSuccess(t *testing.T) {
var s string
var expectedTokens []string
// An empty string
s = ""
expectedTokens = nil
testLexerSuccess(t, s, expectedTokens)
// String with whitespace
s = " \n\t\r "
expectedTokens = nil
testLexerSuccess(t, s, expectedTokens)
// Just metric name
s = "metric"
expectedTokens = []string{"metric"}
testLexerSuccess(t, s, expectedTokens)
// Metric name with spec chars
s = ":foo.bar_"
expectedTokens = []string{":foo.bar_"}
testLexerSuccess(t, s, expectedTokens)
// Metric name with window
s = "metric[5m] "
expectedTokens = []string{"metric", "[", "5m", "]"}
testLexerSuccess(t, s, expectedTokens)
// Metric name with tag filters
s = ` metric:12.34{a="foo", b != "bar", c=~ "x.+y", d !~ "zzz"}`
expectedTokens = []string{`metric:12.34`, `{`, `a`, `=`, `"foo"`, `,`, `b`, `!=`, `"bar"`, `,`, `c`, `=~`, `"x.+y"`, `,`, `d`, `!~`, `"zzz"`, `}`}
testLexerSuccess(t, s, expectedTokens)
// Metric name with offset
s = ` metric offset 10d `
expectedTokens = []string{`metric`, `offset`, `10d`}
testLexerSuccess(t, s, expectedTokens)
// Func call
s = `sum ( metric{x="y" } [5m] offset 10h)`
expectedTokens = []string{`sum`, `(`, `metric`, `{`, `x`, `=`, `"y"`, `}`, `[`, `5m`, `]`, `offset`, `10h`, `)`}
testLexerSuccess(t, s, expectedTokens)
// Binary op
s = `a+b or c % d and e unless f`
expectedTokens = []string{`a`, `+`, `b`, `or`, `c`, `%`, `d`, `and`, `e`, `unless`, `f`}
testLexerSuccess(t, s, expectedTokens)
// Numbers
s = `3+1.2-.23+4.5e5-78e-6+1.24e+45-NaN+Inf`
expectedTokens = []string{`3`, `+`, `1.2`, `-`, `.23`, `+`, `4.5e5`, `-`, `78e-6`, `+`, `1.24e+45`, `-`, `NaN`, `+`, `Inf`}
testLexerSuccess(t, s, expectedTokens)
s = `12.34`
expectedTokens = []string{`12.34`}
testLexerSuccess(t, s, expectedTokens)
// Strings
s = `""''` + "``" + `"\\" '\\' "\"" '\''"\\\"\\"`
expectedTokens = []string{`""`, `''`, "``", `"\\"`, `'\\'`, `"\""`, `'\''`, `"\\\"\\"`}
testLexerSuccess(t, s, expectedTokens)
s = " `foo\\\\\\`бар` "
expectedTokens = []string{"`foo\\\\\\`бар`"}
testLexerSuccess(t, s, expectedTokens)
s = `# comment # sdf
foobar # comment
baz
# yet another comment`
expectedTokens = []string{"foobar", "baz"}
testLexerSuccess(t, s, expectedTokens)
}
func testLexerSuccess(t *testing.T, s string, expectedTokens []string) {
t.Helper()
var lex lexer
lex.Init(s)
var tokens []string
for {
if err := lex.Next(); err != nil {
t.Fatalf("unexpected error: %s", err)
}
if isEOF(lex.Token) {
break
}
tokens = append(tokens, lex.Token)
}
if !reflect.DeepEqual(tokens, expectedTokens) {
t.Fatalf("unexected tokens\ngot\n%q\nwant\n%q", tokens, expectedTokens)
}
}
func TestLexerError(t *testing.T) {
// Invalid identifier
testLexerError(t, ".foo")
// Incomplete string
testLexerError(t, `"foobar`)
testLexerError(t, `'`)
testLexerError(t, "`")
// Unrecognized char
testLexerError(t, "тест")
// Invalid numbers
testLexerError(t, `.`)
testLexerError(t, `123.`)
testLexerError(t, `12e`)
testLexerError(t, `1.2e`)
testLexerError(t, `1.2E+`)
testLexerError(t, `1.2E-`)
}
func testLexerError(t *testing.T, s string) {
t.Helper()
var lex lexer
lex.Init(s)
for {
if err := lex.Next(); err != nil {
// Expected error
break
}
if isEOF(lex.Token) {
t.Fatalf("expecting error during parse")
}
}
// Try calling Next again. It must return error.
if err := lex.Next(); err == nil {
t.Fatalf("expecting non-nil error")
}
}
func TestDurationSuccess(t *testing.T) {
// Integer durations
testDurationSuccess(t, "123s", 42, 123*1000)
testDurationSuccess(t, "123m", 42, 123*60*1000)
testDurationSuccess(t, "1h", 42, 1*60*60*1000)
testDurationSuccess(t, "2d", 42, 2*24*60*60*1000)
testDurationSuccess(t, "3w", 42, 3*7*24*60*60*1000)
testDurationSuccess(t, "4y", 42, 4*365*24*60*60*1000)
testDurationSuccess(t, "1i", 42*1000, 42*1000)
testDurationSuccess(t, "3i", 42, 3*42)
// Float durations
testDurationSuccess(t, "0.234s", 42, 234)
testDurationSuccess(t, "1.5s", 42, 1.5*1000)
testDurationSuccess(t, "1.5m", 42, 1.5*60*1000)
testDurationSuccess(t, "1.2h", 42, 1.2*60*60*1000)
testDurationSuccess(t, "1.1d", 42, 1.1*24*60*60*1000)
testDurationSuccess(t, "1.1w", 42, 1.1*7*24*60*60*1000)
testDurationSuccess(t, "1.3y", 42, 1.3*365*24*60*60*1000)
testDurationSuccess(t, "0.1i", 12340, 0.1*12340)
}
func testDurationSuccess(t *testing.T, s string, step, expectedD int64) {
t.Helper()
d, err := DurationValue(s, step)
if err != nil {
t.Fatalf("unexpected error: %s", err)
}
if d != expectedD {
t.Fatalf("unexpected duration; got %d; want %d", d, expectedD)
}
}
func TestDurationError(t *testing.T) {
testDurationError(t, "")
testDurationError(t, "foo")
testDurationError(t, "m")
testDurationError(t, "12")
testDurationError(t, "1.23")
testDurationError(t, "1.23mm")
testDurationError(t, "123q")
}
func testDurationError(t *testing.T, s string) {
t.Helper()
if isDuration(s) {
t.Fatalf("unexpected valud duration %q", s)
}
d, err := DurationValue(s, 42)
if err == nil {
t.Fatalf("expecting non-nil error for duration %q", s)
}
if d != 0 {
t.Fatalf("expecting zero duration; got %d", d)
}
}

File diff suppressed because it is too large Load Diff

View File

@ -0,0 +1,677 @@
package promql
import (
"testing"
)
func TestParseMetricSelectorSuccess(t *testing.T) {
f := func(s string) {
t.Helper()
tfs, err := ParseMetricSelector(s)
if err != nil {
t.Fatalf("unexpected error when parsing %q: %s", s, err)
}
if tfs == nil {
t.Fatalf("expecting non-nil tfs when parsing %q", s)
}
}
f("foo")
f(":foo")
f(" :fo:bar.baz")
f(`a{}`)
f(`{foo="bar"}`)
f(`{:f:oo=~"bar.+"}`)
f(`foo {bar != "baz"}`)
f(` foo { bar !~ "^ddd(x+)$", a="ss", __name__="sffd"} `)
f(`(foo)`)
}
func TestParseMetricSelectorError(t *testing.T) {
f := func(s string) {
t.Helper()
tfs, err := ParseMetricSelector(s)
if err == nil {
t.Fatalf("expecting non-nil error when parsing %q", s)
}
if tfs != nil {
t.Fatalf("expecting nil tfs when parsing %q", s)
}
}
f("")
f(`{}`)
f(`foo bar`)
f(`foo+bar`)
f(`sum(bar)`)
f(`x{y}`)
f(`x{y+z}`)
f(`foo[5m]`)
f(`foo offset 5m`)
}
func TestParsePromQLSuccess(t *testing.T) {
another := func(s string, sExpected string) {
t.Helper()
e, err := parsePromQL(s)
if err != nil {
t.Fatalf("unexpected error when parsing %q: %s", s, err)
}
res := e.AppendString(nil)
if string(res) != sExpected {
t.Fatalf("unexpected string constructed;\ngot\n%q\nwant\n%q", res, sExpected)
}
}
same := func(s string) {
t.Helper()
another(s, s)
}
// metricExpr
same(`{}`)
same(`{}[5m]`)
same(`{}[5m:]`)
same(`{}[:]`)
another(`{}[: ]`, `{}[:]`)
same(`{}[:3s]`)
another(`{}[: 3s ]`, `{}[:3s]`)
same(`{}[5m:3s]`)
another(`{}[ 5m : 3s ]`, `{}[5m:3s]`)
same(`{} offset 5m`)
same(`{}[5m] offset 10y`)
same(`{}[5.3m:3.4s] offset 10y`)
same(`{}[:3.4s] offset 10y`)
same(`{Foo="bAR"}`)
same(`{foo="bar"}`)
same(`{foo="bar"}[5m]`)
same(`{foo="bar"}[5m:]`)
same(`{foo="bar"}[5m:3s]`)
same(`{foo="bar"} offset 10y`)
same(`{foo="bar"}[5m] offset 10y`)
same(`{foo="bar"}[5m:3s] offset 10y`)
another(`{foo="bar"}[5m] oFFSEt 10y`, `{foo="bar"}[5m] offset 10y`)
same("METRIC")
same("metric")
same("m_e:tri44:_c123")
another("-metric", "0 - metric")
same(`metric offset 10h`)
same("metric[5m]")
same("metric[5m:3s]")
same("metric[5m] offset 10h")
same("metric[5m:3s] offset 10h")
same("metric[5i:3i] offset 10i")
same(`metric{foo="bar"}`)
same(`metric{foo="bar"} offset 10h`)
same(`metric{foo!="bar"}[2d]`)
same(`metric{foo="bar"}[2d] offset 10h`)
same(`metric{foo="bar", b="sdfsdf"}[2d:3h] offset 10h`)
another(` metric { foo = "bar" } [ 2d ] offset 10h `, `metric{foo="bar"}[2d] offset 10h`)
// metric name matching keywords
same("rate")
same("RATE")
same("by")
same("BY")
same("bool")
same("BOOL")
same("unless")
same("UNLESS")
same("Ignoring")
same("with")
same("WITH")
same("With")
// Metric filters ending with comma
another(`m{foo="bar",}`, `m{foo="bar"}`)
// String concat in tag value
another(`m{foo="bar" + "baz"}`, `m{foo="barbaz"}`)
// Valid regexp
same(`foo{bar=~"x"}`)
same(`foo{bar=~"^x"}`)
same(`foo{bar=~"^x$"}`)
same(`foo{bar=~"^(a[bc]|d)$"}`)
same(`foo{bar!~"x"}`)
same(`foo{bar!~"^x"}`)
same(`foo{bar!~"^x$"}`)
same(`foo{bar!~"^(a[bc]|d)$"}`)
// stringExpr
same(`""`)
same(`"\n\t\r 12:{}[]()44"`)
another(`''`, `""`)
another("``", `""`)
another(" `foo\"b'ar` ", "\"foo\\\"b'ar\"")
another(` 'foo\'bar"BAZ' `, `"foo'bar\"BAZ"`)
// string concat
another(`"foo"+'bar'`, `"foobar"`)
// numberExpr
same(`1`)
same(`1.23`)
same(`0.23`)
same(`1.2e+45`)
same(`1.2e-45`)
same(`-1`)
same(`-1.23`)
same(`-0.23`)
same(`-1.2e+45`)
same(`-1.2e-45`)
same(`-1.2e-45`)
another(`12.5E34`, `1.25e+35`)
another(`-.2`, `-0.2`)
another(`-.2E-2`, `-0.002`)
same(`NaN`)
another(`Inf`, `+Inf`)
another(`+Inf`, `+Inf`)
another(`-Inf`, `-Inf`)
// binaryOpExpr
another(`NaN + 2 *3 * Inf`, `NaN`)
another(`Inf - Inf`, `NaN`)
another(`Inf + Inf`, `+Inf`)
another(`-m`, `0 - m`)
same(`m + ignoring () n[5m]`)
another(`M + IGNORING () N[5m]`, `M + ignoring () N[5m]`)
same(`m + on (foo) n[5m]`)
another(`m + ON (Foo) n[5m]`, `m + on (Foo) n[5m]`)
same(`m + ignoring (a, b) n[5m]`)
another(`1 or 2`, `1`)
another(`1 and 2`, `1`)
another(`1 unless 2`, `NaN`)
another(`1 default 2`, `1`)
another(`1 default NaN`, `1`)
another(`NaN default 2`, `2`)
another(`1 > 2`, `NaN`)
another(`1 > bool 2`, `0`)
another(`3 >= 2`, `3`)
another(`3 <= bool 2`, `0`)
another(`1 + -2 - 3`, `-4`)
another(`1 / 0 + 2`, `+Inf`)
another(`2 + -1 / 0`, `-Inf`)
another(`-1 ^ 0.5`, `NaN`)
another(`512.5 - (1 + 3) * (2 ^ 2) ^ 3`, `256.5`)
another(`1 == bool 1 != bool 24 < bool 4 > bool -1`, `1`)
another(`1 == bOOl 1 != BOOL 24 < Bool 4 > booL -1`, `1`)
another(`m1+on(foo)group_left m2`, `m1 + on (foo) group_left () m2`)
another(`M1+ON(FOO)GROUP_left M2`, `M1 + on (FOO) group_left () M2`)
same(`m1 + on (foo) group_right () m2`)
same(`m1 + on (foo, bar) group_right (x, y) m2`)
another(`m1 + on (foo, bar,) group_right (x, y,) m2`, `m1 + on (foo, bar) group_right (x, y) m2`)
same(`m1 == bool on (foo, bar) group_right (x, y) m2`)
another(`5 - 1 + 3 * 2 ^ 2 ^ 3 - 2 OR Metric {Bar= "Baz", aaa!="bb",cc=~"dd" ,zz !~"ff" } `,
`770 or Metric{Bar="Baz", aaa!="bb", cc=~"dd", zz!~"ff"}`)
same(`"foo" + bar()`)
same(`"foo" + bar{x="y"}`)
same(`("foo"[3s] + bar{x="y"})[5m:3s] offset 10s`)
same(`("foo"[3s] + bar{x="y"})[5i:3i] offset 10i`)
same(`bar + "foo" offset 3s`)
same(`bar + "foo" offset 3i`)
another(`1+2 if 2>3`, `NaN`)
another(`1+4 if 2<3`, `5`)
another(`2+6 default 3 if 2>3`, `8`)
another(`2+6 if 2>3 default NaN`, `NaN`)
another(`42 if 3>2 if 2+2<5`, `42`)
another(`42 if 3>2 if 2+2>=5`, `NaN`)
another(`1+2 ifnot 2>3`, `3`)
another(`1+4 ifnot 2<3`, `NaN`)
another(`2+6 default 3 ifnot 2>3`, `8`)
another(`2+6 ifnot 2>3 default NaN`, `8`)
another(`42 if 3>2 ifnot 2+2<5`, `NaN`)
another(`42 if 3>2 ifnot 2+2>=5`, `42`)
// parensExpr
another(`(-foo + ((bar) / (baz))) + ((23))`, `((0 - foo) + (bar / baz)) + 23`)
another(`(FOO + ((Bar) / (baZ))) + ((23))`, `(FOO + (Bar / baZ)) + 23`)
same(`(foo, bar)`)
another(`1+(foo, bar,)`, `1 + (foo, bar)`)
another(`((foo(bar,baz)), (1+(2)+(3,4)+()))`, `(foo(bar, baz), (3 + (3, 4)) + ())`)
same(`()`)
// funcExpr
same(`f()`)
another(`f(x,)`, `f(x)`)
another(`-f()-Ff()`, `(0 - f()) - Ff()`)
same(`F()`)
another(`+F()`, `F()`)
another(`++F()`, `F()`)
another(`--F()`, `0 - (0 - F())`)
same(`f(http_server_request)`)
same(`f(http_server_request)[4s:5m] offset 10m`)
same(`f(http_server_request)[4i:5i] offset 10i`)
same(`F(HttpServerRequest)`)
same(`f(job, foo)`)
same(`F(Job, Foo)`)
another(` FOO (bar) + f ( m ( ),ff(1 + ( 2.5)) ,M[5m ] , "ff" )`, `FOO(bar) + f(m(), ff(3.5), M[5m], "ff")`)
// funcName matching keywords
same(`by(2)`)
same(`BY(2)`)
same(`or(2)`)
same(`OR(2)`)
same(`bool(2)`)
same(`BOOL(2)`)
same(`rate(rate(m))`)
same(`rate(rate(m[5m]))`)
same(`rate(rate(m[5m])[1h:])`)
same(`rate(rate(m[5m])[1h:3s])`)
// aggrFuncExpr
same(`sum(http_server_request) by ()`)
same(`sum(http_server_request) by (job)`)
same(`sum(http_server_request) without (job, foo)`)
another(`sum(x,y,) without (a,b,)`, `sum(x, y) without (a, b)`)
another(`sum by () (xx)`, `sum(xx) by ()`)
another(`sum by (s) (xx)[5s]`, `(sum(xx) by (s))[5s]`)
another(`SUM BY (ZZ, aa) (XX)`, `sum(XX) by (ZZ, aa)`)
another(`sum without (a, b) (xx,2+2)`, `sum(xx, 4) without (a, b)`)
another(`Sum WIthout (a, B) (XX,2+2)`, `sum(XX, 4) without (a, B)`)
same(`sum(a) or sum(b)`)
same(`sum(a) by () or sum(b) without (x, y)`)
same(`sum(a) + sum(b)`)
same(`sum(x) * (1 + sum(a))`)
// All the above
another(`Sum(Ff(M) * M{X=""}[5m] Offset 7m - 123, 35) BY (X, y) * F2("Test")`,
`sum((Ff(M) * M{X=""}[5m] offset 7m) - 123, 35) by (X, y) * F2("Test")`)
another(`# comment
Sum(Ff(M) * M{X=""}[5m] Offset 7m - 123, 35) BY (X, y) # yet another comment
* F2("Test")`,
`sum((Ff(M) * M{X=""}[5m] offset 7m) - 123, 35) by (X, y) * F2("Test")`)
// withExpr
another(`with () x`, `x`)
another(`with (x=1,) x`, `1`)
another(`with (x = m offset 5h) x + x`, `m offset 5h + m offset 5h`)
another(`with (x = m offset 5i) x + x`, `m offset 5i + m offset 5i`)
another(`with (foo = bar{x="x"}) 1`, `1`)
another(`with (foo = bar{x="x"}) "x"`, `"x"`)
another(`with (f="x") f`, `"x"`)
another(`with (foo = bar{x="x"}) x{x="y"}`, `x{x="y"}`)
another(`with (foo = bar{x="x"}) 1+1`, `2`)
another(`with (foo = bar{x="x"}) f()`, `f()`)
another(`with (foo = bar{x="x"}) sum(x)`, `sum(x)`)
another(`with (foo = bar{x="x"}) baz{foo="bar"}`, `baz{foo="bar"}`)
another(`with (foo = bar) baz`, `baz`)
another(`with (foo = bar) foo + foo{a="b"}`, `bar + bar{a="b"}`)
another(`with (foo = bar, bar=baz + f()) test`, `test`)
another(`with (ct={job="test"}) a{ct} + ct() + f({ct="x"})`, `(a{job="test"} + {job="test"}) + f({ct="x"})`)
another(`with (ct={job="test", i="bar"}) ct + {ct, x="d"} + foo{ct, ct} + ctx(1)`,
`(({job="test", i="bar"} + {job="test", i="bar", x="d"}) + foo{job="test", i="bar"}) + ctx(1)`)
another(`with (foo = bar) {__name__=~"foo"}`, `{__name__=~"foo"}`)
another(`with (foo = bar) {__name__="foo"}`, `bar`)
another(`with (foo = bar) {__name__="foo", x="y"}`, `bar{x="y"}`)
another(`with (foo(bar) = {__name__!="bar"}) foo(x)`, `{__name__!="bar"}`)
another(`with (foo(bar) = {__name__="bar"}) foo(x)`, `x`)
// override ttf to something new.
another(`with (ttf = a) ttf + b`, `a + b`)
// override ttf to ru
another(`with (ttf = ru(m, n)) ttf`, `(clamp_min(n - clamp_min(m, 0), 0) / clamp_min(n, 0)) * 100`)
// Verify withExpr recursion and forward reference
another(`with (x = x+y, y = x+x) y ^ 2`, `((x + y) + (x + y)) ^ 2`)
another(`with (f1(x)=f2(x), f2(x)=f1(x)^2) f1(foobar)`, `f2(foobar)`)
another(`with (f1(x)=f2(x), f2(x)=f1(x)^2) f2(foobar)`, `f2(foobar) ^ 2`)
// Verify withExpr funcs
another(`with (x() = y+1) x`, `y + 1`)
another(`with (x(foo) = foo+1) x(a)`, `a + 1`)
another(`with (x(a, b) = a + b) x(foo, bar)`, `foo + bar`)
another(`with (x(a, b) = a + b) x(foo, x(1, 2))`, `foo + 3`)
another(`with (x(a) = sum(a) by (b)) x(xx) / x(y)`, `sum(xx) by (b) / sum(y) by (b)`)
another(`with (f(a,f,x)=ff(x,f,a)) f(f(x,y,z),1,2)`, `ff(2, 1, ff(z, y, x))`)
another(`with (f(x)=1+f(x)) f(foo{bar="baz"})`, `1 + f(foo{bar="baz"})`)
another(`with (a=foo, y=bar, f(a)= a+a+y) f(x)`, `(x + x) + bar`)
another(`with (f(a, b) = m{a, b}) f({a="x", b="y"}, {c="d"})`, `m{a="x", b="y", c="d"}`)
another(`with (xx={a="x"}, f(a, b) = m{a, b}) f({xx, b="y"}, {c="d"})`, `m{a="x", b="y", c="d"}`)
another(`with (x() = {b="c"}) foo{x}`, `foo{b="c"}`)
another(`with (f(x)=x{foo="bar"} offset 5m) f(m offset 10m)`, `(m{foo="bar"} offset 10m) offset 5m`)
another(`with (f(x)=x{foo="bar",bas="a"}[5m]) f(m[10m] offset 3s)`, `(m{foo="bar", bas="a"}[10m] offset 3s)[5m]`)
another(`with (f(x)=x{foo="bar"}[5m] offset 10m) f(m{x="y"})`, `m{x="y", foo="bar"}[5m] offset 10m`)
another(`with (f(x)=x{foo="bar"}[5m] offset 10m) f({x="y", foo="bar", foo="bar"})`, `{x="y", foo="bar"}[5m] offset 10m`)
another(`with (f(m, x)=m{x}[5m] offset 10m) f(foo, {})`, `foo[5m] offset 10m`)
another(`with (f(m, x)=m{x, bar="baz"}[5m] offset 10m) f(foo, {})`, `foo{bar="baz"}[5m] offset 10m`)
another(`with (f(x)=x[5m] offset 3s) f(foo[3m]+bar)`, `(foo[3m] + bar)[5m] offset 3s`)
another(`with (f(x)=x[5m:3s] oFFsEt 1.5m) f(sum(s) by (a,b))`, `(sum(s) by (a, b))[5m:3s] offset 1.5m`)
another(`with (x="a", y=x) y+"bc"`, `"abc"`)
another(`with (x="a", y="b"+x) "we"+y+"z"+f()`, `"webaz" + f()`)
another(`with (f(x) = m{foo=x+"y", bar="y"+x, baz=x} + x) f("qwe")`, `m{foo="qwey", bar="yqwe", baz="qwe"} + "qwe"`)
// Verify withExpr for aggr func modifiers
another(`with (f(x) = sum(m) by (x)) f(foo)`, `sum(m) by (foo)`)
another(`with (f(x) = sum(m) by (x)) f((foo, bar, foo))`, `sum(m) by (foo, bar)`)
another(`with (f(x) = sum(m) without (x,y)) f((a, b))`, `sum(m) without (a, b, y)`)
another(`with (f(x) = sum(m) without (y,x)) f((a, y))`, `sum(m) without (y, a)`)
another(`with (f(x,y) = a + on (x,y) group_left (y,bar) b) f(foo,())`, `a + on (foo) group_left (bar) b`)
another(`with (f(x,y) = a + on (x,y) group_left (y,bar) b) f((foo),())`, `a + on (foo) group_left (bar) b`)
another(`with (f(x,y) = a + on (x,y) group_left (y,bar) b) f((foo,xx),())`, `a + on (foo, xx) group_left (bar) b`)
// Verify nested with exprs
another(`with (f(x) = (with(x=y) x) + x) f(z)`, `y + z`)
another(`with (x=foo) f(a, with (y=x) y)`, `f(a, foo)`)
another(`with (x=foo) a * x + (with (y=x) y) / y`, `(a * foo) + (foo / y)`)
another(`with (x = with (y = foo) y + x) x/x`, `(foo + x) / (foo + x)`)
another(`with (
x = {foo="bar"},
q = m{x, y="1"},
f(x) =
with (
z(y) = x + y * q
)
z(foo) / f(x)
)
f(a)`, `(a + (foo * m{foo="bar", y="1"})) / f(a)`)
// complex withExpr
another(`WITH (
treshold = (0.9),
commonFilters = {job="cacher", instance=~"1.2.3.4"},
hits = rate(cache{type="hit", commonFilters}[5m]),
miss = rate(cache{type="miss", commonFilters}[5m]),
sumByInstance(arg) = sum(arg) by (instance),
hitRatio = sumByInstance(hits) / sumByInstance(hits + miss)
)
hitRatio < treshold`,
`(sum(rate(cache{type="hit", job="cacher", instance=~"1.2.3.4"}[5m])) by (instance) / sum(rate(cache{type="hit", job="cacher", instance=~"1.2.3.4"}[5m]) + rate(cache{type="miss", job="cacher", instance=~"1.2.3.4"}[5m])) by (instance)) < 0.9`)
another(`WITH (
x2(x) = x^2,
f(x, y) = x2(x) + x*y + x2(y)
)
f(a, 3)
`, `((a ^ 2) + (a * 3)) + 9`)
another(`WITH (
x2(x) = x^2,
f(x, y) = x2(x) + x*y + x2(y)
)
f(2, 3)
`, `19`)
another(`WITH (
commonFilters = {instance="foo"},
timeToFuckup(currv, maxv) = (maxv - currv) / rate(currv)
)
timeToFuckup(diskUsage{commonFilters}, maxDiskSize{commonFilters})`,
`(maxDiskSize{instance="foo"} - diskUsage{instance="foo"}) / rate(diskUsage{instance="foo"})`)
another(`WITH (
commonFilters = {job="foo", instance="bar"},
sumRate(m, cf) = sum(rate(m{cf})) by (job, instance),
hitRate(hits, misses) = sumRate(hits, commonFilters) / (sumRate(hits, commonFilters) + sumRate(misses, commonFilters))
)
hitRate(cacheHits, cacheMisses)`,
`sum(rate(cacheHits{job="foo", instance="bar"})) by (job, instance) / (sum(rate(cacheHits{job="foo", instance="bar"})) by (job, instance) + sum(rate(cacheMisses{job="foo", instance="bar"})) by (job, instance))`)
another(`with(y=123,z=5) union(with(y=3,f(x)=x*y) f(2) + f(3), with(x=5,y=2) x*y*z)`, `union(15, 50)`)
}
func TestParsePromQLError(t *testing.T) {
f := func(s string) {
t.Helper()
e, err := parsePromQL(s)
if err == nil {
t.Fatalf("expecting non-nil error when parsing %q", s)
}
if e != nil {
t.Fatalf("expecting nil expr when parsing %q", s)
}
}
// an empty string
f("")
f(" \t\b\r\n ")
// invalid metricExpr
f(`{__name__="ff"} offset 55`)
f(`{__name__="ff"} offset -5m`)
f(`foo[55]`)
f(`m[-5m]`)
f(`{`)
f(`foo{`)
f(`foo{bar`)
f(`foo{bar=`)
f(`foo{bar="baz"`)
f(`foo{bar="baz", `)
f(`foo{123="23"}`)
f(`foo{foo}`)
f(`foo{,}`)
f(`foo{,foo="bar"}`)
f(`foo{foo=}`)
f(`foo{foo="ba}`)
f(`foo{"foo"="bar"}`)
f(`foo{$`)
f(`foo{a $`)
f(`foo{a="b",$`)
f(`foo{a="b"}$`)
f(`[`)
f(`[]`)
f(`f[5m]$`)
f(`[5m]`)
f(`[5m] offset 4h`)
f(`m[5m] offset $`)
f(`m[5m] offset 5h $`)
f(`m[]`)
f(`m[-5m]`)
f(`m[5m:`)
f(`m[5m:-`)
f(`m[5m:-1`)
f(`m[5m:-1]`)
f(`m[:`)
f(`m[:-`)
f(`m[:1]`)
f(`m[:-1m]`)
f(`m[5]`)
f(`m[[5m]]`)
f(`m[foo]`)
f(`m["ff"]`)
f(`m[10m`)
f(`m[123`)
f(`m["ff`)
f(`m[(f`)
f(`fd}`)
f(`]`)
f(`m $`)
f(`m{,}`)
f(`m{x=y}`)
f(`m{x=y/5}`)
f(`m{x=y+5}`)
// Invalid regexp
f(`foo{bar=~"x["}`)
f(`foo{bar=~"x("}`)
f(`foo{bar=~"x)"}`)
f(`foo{bar!~"x["}`)
f(`foo{bar!~"x("}`)
f(`foo{bar!~"x)"}`)
// invalid stringExpr
f(`'`)
f(`"`)
f("`")
f(`"foo`)
f(`'foo`)
f("`foo")
f(`"foo\"bar`)
f(`'foo\'bar`)
f("`foo\\`bar")
f(`"" $`)
f(`"foo" +`)
f(`n{"foo" + m`)
// invalid numberExpr
f(`12.`)
f(`1.2e`)
f(`23e-`)
f(`23E+`)
f(`.`)
f(`-12.`)
f(`-1.2e`)
f(`-23e-`)
f(`-23E+`)
f(`-.`)
f(`-1$$`)
f(`-$$`)
f(`+$$`)
f(`23 $$`)
// invalid binaryOpExpr
f(`+`)
f(`1 +`)
f(`1 + 2.`)
f(`3 unless`)
f(`23 + on (foo)`)
f(`m + on (,) m`)
f(`3 * ignoring`)
f(`m * on (`)
f(`m * on (foo`)
f(`m * on (foo,`)
f(`m * on (foo,)`)
f(`m * on (,foo)`)
f(`m * on (,)`)
f(`m == bool (bar) baz`)
f(`m == bool () baz`)
f(`m * by (baz) n`)
f(`m + bool group_left m2`)
f(`m + on () group_left (`)
f(`m + on () group_left (,`)
f(`m + on () group_left (,foo`)
f(`m + on () group_left (foo,)`)
f(`m + on () group_left (,foo)`)
f(`m + on () group_left (foo)`)
f(`m + on () group_right (foo) (m`)
f(`m or ignoring () group_left () n`)
f(`1 + bool 2`)
f(`m % bool n`)
f(`m * bool baz`)
f(`M * BOoL BaZ`)
f(`foo unless ignoring (bar) group_left xxx`)
f(`foo or bool bar`)
f(`foo == bool $$`)
f(`"foo" + bar`)
// invalid parensExpr
f(`(`)
f(`($`)
f(`(+`)
f(`(1`)
f(`(m+`)
f(`1)`)
f(`(,)`)
f(`(1)$`)
// invalid funcExpr
f(`f $`)
f(`f($)`)
f(`f[`)
f(`f()$`)
f(`f(`)
f(`f(foo`)
f(`f(f,`)
f(`f(,`)
f(`f(,)`)
f(`f(,foo)`)
f(`f(,foo`)
f(`f(foo,$`)
f(`f() by (a)`)
f(`f without (x) (y)`)
f(`f() foo (a)`)
f(`f bar (x) (b)`)
f(`f bar (x)`)
// invalid aggrFuncExpr
f(`sum(`)
f(`sum $`)
f(`sum [`)
f(`sum($)`)
f(`sum()$`)
f(`sum(foo) ba`)
f(`sum(foo) ba()`)
f(`sum(foo) by`)
f(`sum(foo) without x`)
f(`sum(foo) aaa`)
f(`sum(foo) aaa x`)
f(`sum() by $`)
f(`sum() by (`)
f(`sum() by ($`)
f(`sum() by (a`)
f(`sum() by (a $`)
f(`sum() by (a ]`)
f(`sum() by (a)$`)
f(`sum() by (,`)
f(`sum() by (a,$`)
f(`sum() by (,)`)
f(`sum() by (,a`)
f(`sum() by (,a)`)
f(`sum() on (b)`)
f(`sum() bool`)
f(`sum() group_left`)
f(`sum() group_right(x)`)
f(`sum ba`)
f(`sum ba ()`)
f(`sum by (`)
f(`sum by (a`)
f(`sum by (,`)
f(`sum by (,)`)
f(`sum by (,a`)
f(`sum by (,a)`)
f(`sum by (a)`)
f(`sum by (a) (`)
f(`sum by (a) [`)
f(`sum by (a) {`)
f(`sum by (a) (b`)
f(`sum by (a) (b,`)
f(`sum by (a) (,)`)
f(`avg by (a) (,b)`)
f(`sum by (x) (y) by (z)`)
f(`sum(m) by (1)`)
// invalid withExpr
f(`with $`)
f(`with a`)
f(`with a=b c`)
f(`with (`)
f(`with (x=b)$`)
f(`with ($`)
f(`with (foo`)
f(`with (foo $`)
f(`with (x y`)
f(`with (x =`)
f(`with (x = $`)
f(`with (x= y`)
f(`with (x= y $`)
f(`with (x= y)`)
f(`with (x=(`)
f(`with (x=[)`)
f(`with (x=() x)`)
f(`with ($$)`)
f(`with (x $$`)
f(`with (x = $$)`)
f(`with (x = foo) bar{x}`)
f(`with (x = {foo="bar"}[5m]) bar{x}`)
f(`with (x = {foo="bar"} offset 5m) bar{x}`)
f(`with (x = a, x = b) c`)
f(`with (x(a, a) = b) c`)
f(`with (x=m{f="x"}) foo{x}`)
f(`with (sum = x) y`)
f(`with (rate(a) = b) c`)
f(`with (clamp_min=x) y`)
f(`with (f()`)
f(`with (a=b c=d) e`)
f(`with (f(x)=x^2) m{x}`)
f(`with (f(x)=ff()) m{x}`)
f(`with (f(x`)
f(`with (x=m) a{x} + b`)
f(`with (x=m) b + a{x}`)
f(`with (x=m) f(b, a{x})`)
f(`with (x=m) sum(a{x})`)
f(`with (x=m) (a{x})`)
f(`with (f(a)=a) f`)
f(`with (f(x)=x{foo="bar"}) f(1)`)
f(`with (f(x)=x{foo="bar"}) f(m + n)`)
f(`with (f = with`)
f(`with (,)`)
f(`with (1) 2`)
f(`with (f(1)=2) 3`)
f(`with (f(,)=x) x`)
f(`with (x(a) = {b="c"}) foo{x}`)
f(`with (f(x) = m{foo=xx}) f("qwe")`)
f(`a + with(f(x)=x) f`)
f(`with (f(x) = x, y = sum(m) by (f)) y`)
f(`with (f(x) = sum(m) by (x)) f({foo="bar"})`)
f(`with (f(x) = sum(m) by (x)) f((xx(), {foo="bar"}))`)
f(`with (f(x) = m + on (x) n) f(xx())`)
f(`with (f(x) = m + on (a) group_right (x) n) f(xx())`)
}

View File

@ -0,0 +1,102 @@
package promql
import (
"fmt"
"regexp"
"sync"
"sync/atomic"
"github.com/VictoriaMetrics/metrics"
)
func compileRegexpAnchored(re string) (*regexp.Regexp, error) {
rcv := regexpCacheV.Get(re)
if rcv != nil {
return rcv.r, rcv.err
}
regexAnchored := fmt.Sprintf("^(?:%s)$", re)
r, err := regexp.Compile(regexAnchored)
rcv = &regexpCacheValue{
r: r,
err: err,
}
regexpCacheV.Put(re, rcv)
return rcv.r, rcv.err
}
var regexpCacheV = func() *regexpCache {
rc := &regexpCache{
m: make(map[string]*regexpCacheValue),
}
metrics.NewGauge(`vm_cache_requests_total{type="promql/regexp"}`, func() float64 {
return float64(rc.Requests())
})
metrics.NewGauge(`vm_cache_misses_total{type="promql/regexp"}`, func() float64 {
return float64(rc.Misses())
})
metrics.NewGauge(`vm_cache_entries{type="promql/regexp"}`, func() float64 {
return float64(rc.Len())
})
return rc
}()
const regexpCacheMaxLen = 10e3
type regexpCacheValue struct {
r *regexp.Regexp
err error
}
type regexpCache struct {
m map[string]*regexpCacheValue
mu sync.RWMutex
requests uint64
misses uint64
}
func (rc *regexpCache) Requests() uint64 {
return atomic.LoadUint64(&rc.requests)
}
func (rc *regexpCache) Misses() uint64 {
return atomic.LoadUint64(&rc.misses)
}
func (rc *regexpCache) Len() uint64 {
rc.mu.RLock()
n := len(rc.m)
rc.mu.RUnlock()
return uint64(n)
}
func (rc *regexpCache) Get(regexp string) *regexpCacheValue {
atomic.AddUint64(&rc.requests, 1)
rc.mu.RLock()
rcv := rc.m[regexp]
rc.mu.RUnlock()
if rc == nil {
atomic.AddUint64(&rc.misses, 1)
}
return rcv
}
func (rc *regexpCache) Put(regexp string, rcv *regexpCacheValue) {
rc.mu.Lock()
overflow := len(rc.m) - regexpCacheMaxLen
if overflow > 0 {
// Remove 10% of items from the cache.
overflow = int(float64(len(rc.m)) * 0.1)
for k := range rc.m {
delete(rc.m, k)
overflow--
if overflow <= 0 {
break
}
}
}
rc.m[regexp] = rcv
rc.mu.Unlock()
}

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@ -0,0 +1,763 @@
package promql
import (
"fmt"
"math"
"sort"
"strings"
"sync"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/decimal"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/logger"
"github.com/valyala/histogram"
)
var rollupFuncs = map[string]newRollupFunc{
"default_rollup": newRollupFuncOneArg(rollupDefault), // default rollup func
// Standard rollup funcs from PromQL.
// See funcs accepting range-vector on https://prometheus.io/docs/prometheus/latest/querying/functions/ .
"changes": newRollupFuncOneArg(rollupChanges),
"delta": newRollupFuncOneArg(rollupDelta),
"deriv": newRollupFuncOneArg(rollupDeriv),
"holt_winters": newRollupHoltWinters,
"idelta": newRollupFuncOneArg(rollupIdelta),
"increase": newRollupFuncOneArg(rollupDelta), // + rollupFuncsRemoveCounterResets
"irate": newRollupFuncOneArg(rollupIderiv), // + rollupFuncsRemoveCounterResets
"predict_linear": newRollupPredictLinear,
"rate": newRollupFuncOneArg(rollupDeriv), // + rollupFuncsRemoveCounterResets
"resets": newRollupFuncOneArg(rollupResets),
"avg_over_time": newRollupFuncOneArg(rollupAvg),
"min_over_time": newRollupFuncOneArg(rollupMin),
"max_over_time": newRollupFuncOneArg(rollupMax),
"sum_over_time": newRollupFuncOneArg(rollupSum),
"count_over_time": newRollupFuncOneArg(rollupCount),
"quantile_over_time": newRollupQuantile,
"stddev_over_time": newRollupFuncOneArg(rollupStddev),
"stdvar_over_time": newRollupFuncOneArg(rollupStdvar),
// Additional rollup funcs.
"first_over_time": newRollupFuncOneArg(rollupFirst),
"last_over_time": newRollupFuncOneArg(rollupLast),
"distinct_over_time": newRollupFuncOneArg(rollupDistinct),
"integrate": newRollupFuncOneArg(rollupIntegrate),
"ideriv": newRollupFuncOneArg(rollupIderiv),
"rollup": newRollupFuncOneArg(rollupFake),
"rollup_rate": newRollupFuncOneArg(rollupFake), // + rollupFuncsRemoveCounterResets
"rollup_deriv": newRollupFuncOneArg(rollupFake),
"rollup_delta": newRollupFuncOneArg(rollupFake),
"rollup_increase": newRollupFuncOneArg(rollupFake), // + rollupFuncsRemoveCounterResets
}
var rollupFuncsRemoveCounterResets = map[string]bool{
"increase": true,
"irate": true,
"rate": true,
"rollup_rate": true,
"rollup_increase": true,
}
var rollupFuncsKeepMetricGroup = map[string]bool{
"default_rollup": true,
"avg_over_time": true,
"min_over_time": true,
"max_over_time": true,
"quantile_over_time": true,
"rollup": true,
}
func getRollupArgIdx(funcName string) int {
funcName = strings.ToLower(funcName)
if rollupFuncs[funcName] == nil {
logger.Panicf("BUG: getRollupArgIdx is called for non-rollup func %q", funcName)
}
if funcName == "quantile_over_time" {
return 1
}
return 0
}
func getRollupFunc(funcName string) newRollupFunc {
funcName = strings.ToLower(funcName)
return rollupFuncs[funcName]
}
func isRollupFunc(funcName string) bool {
return getRollupFunc(funcName) != nil
}
type rollupFuncArg struct {
prevValue float64
prevTimestamp int64
values []float64
timestamps []int64
idx int
step int64
}
func (rfa *rollupFuncArg) reset() {
rfa.prevValue = 0
rfa.prevTimestamp = 0
rfa.values = nil
rfa.timestamps = nil
rfa.idx = 0
rfa.step = 0
}
// rollupFunc must return rollup value for the given rfa.
//
// prevValue may be nan, values and timestamps may be empty.
type rollupFunc func(rfa *rollupFuncArg) float64
type rollupConfig struct {
// This tag value must be added to "rollup" tag if non-empty.
TagValue string
Func rollupFunc
Start int64
End int64
Step int64
Window int64
Timestamps []int64
}
var (
nan = math.NaN()
inf = math.Inf(1)
)
// The maximum interval without previous rows.
const maxSilenceInterval = 5 * 60 * 1000
// Do calculates rollups for the given timestamps and values, appends
// them to dstValues and returns results.
//
// rc.Timestamps are used as timestamps for dstValues.
//
// timestamps must cover time range [rc.Start - rc.Window - maxSilenceInterval ... rc.End + rc.Step].
//
// Cannot be called from concurrent goroutines.
func (rc *rollupConfig) Do(dstValues []float64, values []float64, timestamps []int64) []float64 {
// Sanity checks.
if rc.Step <= 0 {
logger.Panicf("BUG: Step must be bigger than 0; got %d", rc.Step)
}
if rc.Start > rc.End {
logger.Panicf("BUG: Start cannot exceed End; got %d vs %d", rc.Start, rc.End)
}
if rc.Window < 0 {
logger.Panicf("BUG: Window must be non-negative; got %d", rc.Window)
}
if err := ValidateMaxPointsPerTimeseries(rc.Start, rc.End, rc.Step); err != nil {
logger.Panicf("BUG: %s; this must be validated before the call to rollupConfig.Do", err)
}
// Extend dstValues in order to remove mallocs below.
dstValues = decimal.ExtendFloat64sCapacity(dstValues, len(rc.Timestamps))
maxPrevInterval := getMaxPrevInterval(timestamps)
window := rc.Window
if window <= 0 {
window = rc.Step
}
if window < maxPrevInterval {
window = maxPrevInterval
}
rfa := getRollupFuncArg()
rfa.idx = 0
rfa.step = rc.Step
i := 0
j := 0
for _, ts := range rc.Timestamps {
tEnd := ts + rc.Step
tStart := tEnd - window
n := sort.Search(len(timestamps)-i, func(n int) bool {
return timestamps[i+n] > tStart
})
i += n
if j < i {
j = i
}
n = sort.Search(len(timestamps)-j, func(n int) bool {
return timestamps[j+n] > tEnd
})
j += n
rfa.prevValue = nan
rfa.prevTimestamp = tStart - maxPrevInterval
if i > 0 && timestamps[i-1] > rfa.prevTimestamp {
rfa.prevValue = values[i-1]
rfa.prevTimestamp = timestamps[i-1]
}
rfa.values = values[i:j]
rfa.timestamps = timestamps[i:j]
value := rc.Func(rfa)
rfa.idx++
dstValues = append(dstValues, value)
}
putRollupFuncArg(rfa)
return dstValues
}
func getMaxPrevInterval(timestamps []int64) int64 {
if len(timestamps) < 2 {
return int64(maxSilenceInterval)
}
d := (timestamps[len(timestamps)-1] - timestamps[0]) / int64(len(timestamps)-1)
if d <= 0 {
return 1
}
// Slightly increase d in order to handle possible jitter in scrape interval.
return d + (d / 16)
}
func removeCounterResets(values []float64) {
// There is no need in handling NaNs here, since they are impossible
// on values from vmstorage.
if len(values) == 0 {
return
}
var correction float64
prevValue := values[0]
for i, v := range values {
d := v - prevValue
if d < 0 {
if (-d * 8) < prevValue {
// This is likely jitter from `Prometheus HA pairs`.
// Just substitute v with prevValue.
v = prevValue
} else {
correction += prevValue
}
}
prevValue = v
values[i] = v + correction
}
}
func deltaValues(values []float64) {
// There is no need in handling NaNs here, since they are impossible
// on values from vmstorage.
if len(values) == 0 {
return
}
prevValue := values[0]
for i, v := range values[1:] {
values[i] = v - prevValue
prevValue = v
}
values[len(values)-1] = nan
}
func derivValues(values []float64, timestamps []int64) {
// There is no need in handling NaNs here, since they are impossible
// on values from vmstorage.
if len(values) == 0 {
return
}
prevValue := values[0]
prevTs := timestamps[0]
for i, v := range values[1:] {
ts := timestamps[i+1]
dt := float64(ts-prevTs) * 1e-3
values[i] = (v - prevValue) / dt
prevValue = v
prevTs = ts
}
values[len(values)-1] = nan
}
type newRollupFunc func(args []interface{}) (rollupFunc, error)
func newRollupFuncOneArg(rf rollupFunc) newRollupFunc {
return func(args []interface{}) (rollupFunc, error) {
if err := expectRollupArgsNum(args, 1); err != nil {
return nil, err
}
return rf, nil
}
}
func newRollupHoltWinters(args []interface{}) (rollupFunc, error) {
if err := expectRollupArgsNum(args, 3); err != nil {
return nil, err
}
sfs, err := getScalar(args[1], 1)
if err != nil {
return nil, err
}
tfs, err := getScalar(args[2], 2)
if err != nil {
return nil, err
}
rf := func(rfa *rollupFuncArg) float64 {
// There is no need in handling NaNs here, since they must be cleanup up
// before calling rollup funcs.
values := rfa.values
if len(values) == 0 {
return nan
}
sf := sfs[rfa.idx]
if sf <= 0 || sf >= 1 {
return nan
}
tf := tfs[rfa.idx]
if tf <= 0 || tf >= 1 {
return nan
}
// See https://en.wikipedia.org/wiki/Exponential_smoothing#Double_exponential_smoothing .
// TODO: determine whether this shit really works.
s0 := rfa.prevValue
if math.IsNaN(s0) {
s0 = values[0]
values = values[1:]
if len(values) == 0 {
return s0
}
}
b0 := values[0] - s0
for _, v := range values {
s1 := sf*v + (1-sf)*(s0+b0)
b1 := tf*(s1-s0) + (1-tf)*b0
s0 = s1
b0 = b1
}
return s0
}
return rf, nil
}
func newRollupPredictLinear(args []interface{}) (rollupFunc, error) {
if err := expectRollupArgsNum(args, 2); err != nil {
return nil, err
}
secs, err := getScalar(args[1], 1)
if err != nil {
return nil, err
}
rf := func(rfa *rollupFuncArg) float64 {
// There is no need in handling NaNs here, since they must be cleanup up
// before calling rollup funcs.
values := rfa.values
timestamps := rfa.timestamps
if len(values) == 0 {
return nan
}
// See https://en.wikipedia.org/wiki/Simple_linear_regression#Numerical_example
// TODO: determine whether this shit really works.
tFirst := rfa.prevTimestamp
vSum := rfa.prevValue
if math.IsNaN(rfa.prevValue) {
tFirst = timestamps[0]
vSum = 0
}
tSum := float64(0)
tvSum := float64(0)
ttSum := float64(0)
for i, v := range values {
dt := float64(timestamps[i]-tFirst) * 1e-3
vSum += v
tSum += dt
tvSum += dt * v
ttSum += dt * dt
}
n := float64(len(values))
k := (n*tvSum - tSum*vSum) / (n*ttSum - tSum*tSum)
v := (vSum - k*tSum) / n
sec := secs[rfa.idx]
return v + k*sec
}
return rf, nil
}
func newRollupQuantile(args []interface{}) (rollupFunc, error) {
if err := expectRollupArgsNum(args, 2); err != nil {
return nil, err
}
phis, err := getScalar(args[0], 0)
if err != nil {
return nil, err
}
rf := func(rfa *rollupFuncArg) float64 {
// There is no need in handling NaNs here, since they must be cleanup up
// before calling rollup funcs.
values := rfa.values
if len(values) == 0 {
return nan
}
hf := histogram.GetFast()
for _, v := range values {
hf.Update(v)
}
phi := phis[rfa.idx]
qv := hf.Quantile(phi)
histogram.PutFast(hf)
return qv
}
return rf, nil
}
func rollupAvg(rfa *rollupFuncArg) float64 {
// Do not use `Rapid calculation methods` at https://en.wikipedia.org/wiki/Standard_deviation,
// since it is slower and has no significant benefits in precision.
// There is no need in handling NaNs here, since they must be cleanup up
// before calling rollup funcs.
values := rfa.values
if len(values) == 0 {
return nan
}
var sum float64
for _, v := range values {
sum += v
}
return sum / float64(len(values))
}
func rollupMin(rfa *rollupFuncArg) float64 {
// There is no need in handling NaNs here, since they must be cleanup up
// before calling rollup funcs.
values := rfa.values
if len(values) == 0 {
return nan
}
minValue := values[0]
for _, v := range values {
if v < minValue {
minValue = v
}
}
return minValue
}
func rollupMax(rfa *rollupFuncArg) float64 {
// There is no need in handling NaNs here, since they must be cleanup up
// before calling rollup funcs.
values := rfa.values
if len(values) == 0 {
return nan
}
maxValue := values[0]
for _, v := range values {
if v > maxValue {
maxValue = v
}
}
return maxValue
}
func rollupSum(rfa *rollupFuncArg) float64 {
// There is no need in handling NaNs here, since they must be cleanup up
// before calling rollup funcs.
values := rfa.values
if len(values) == 0 {
return nan
}
var sum float64
for _, v := range values {
sum += v
}
return sum
}
func rollupCount(rfa *rollupFuncArg) float64 {
// There is no need in handling NaNs here, since they must be cleanup up
// before calling rollup funcs.
values := rfa.values
if len(values) == 0 {
return nan
}
return float64(len(values))
}
func rollupStddev(rfa *rollupFuncArg) float64 {
stdvar := rollupStdvar(rfa)
return math.Sqrt(stdvar)
}
func rollupStdvar(rfa *rollupFuncArg) float64 {
// See `Rapid calculation methods` at https://en.wikipedia.org/wiki/Standard_deviation
// There is no need in handling NaNs here, since they must be cleanup up
// before calling rollup funcs.
values := rfa.values
if len(values) == 0 {
return nan
}
var avg float64
var count float64
var q float64
for _, v := range values {
count++
avgNew := avg + (v-avg)/count
q += (v - avg) * (v - avgNew)
avg = avgNew
}
return q / count
}
func rollupDelta(rfa *rollupFuncArg) float64 {
// There is no need in handling NaNs here, since they must be cleanup up
// before calling rollup funcs.
values := rfa.values
prevValue := rfa.prevValue
if math.IsNaN(prevValue) {
if len(values) == 0 {
return nan
}
prevValue = values[0]
values = values[1:]
}
if len(values) == 0 {
return nan
}
return values[len(values)-1] - prevValue
}
func rollupIdelta(rfa *rollupFuncArg) float64 {
// There is no need in handling NaNs here, since they must be cleanup up
// before calling rollup funcs.
values := rfa.values
if len(values) == 0 {
return nan
}
lastValue := values[len(values)-1]
values = values[:len(values)-1]
if len(values) == 0 {
prevValue := rfa.prevValue
if math.IsNaN(prevValue) {
return nan
}
return lastValue - prevValue
}
return lastValue - values[len(values)-1]
}
func rollupDeriv(rfa *rollupFuncArg) float64 {
// There is no need in handling NaNs here, since they must be cleanup up
// before calling rollup funcs.
values := rfa.values
timestamps := rfa.timestamps
prevValue := rfa.prevValue
prevTimestamp := rfa.prevTimestamp
if math.IsNaN(prevValue) {
if len(values) == 0 {
return nan
}
prevValue = values[0]
prevTimestamp = timestamps[0]
values = values[1:]
timestamps = timestamps[1:]
}
if len(values) == 0 {
return nan
}
vEnd := values[len(values)-1]
tEnd := timestamps[len(timestamps)-1]
dv := vEnd - prevValue
dt := float64(tEnd-prevTimestamp) * 1e-3
return dv / dt
}
func rollupIderiv(rfa *rollupFuncArg) float64 {
// There is no need in handling NaNs here, since they must be cleanup up
// before calling rollup funcs.
values := rfa.values
timestamps := rfa.timestamps
if len(values) == 0 {
return nan
}
vEnd := values[len(values)-1]
tEnd := timestamps[len(timestamps)-1]
values = values[:len(values)-1]
timestamps = timestamps[:len(timestamps)-1]
prevValue := rfa.prevValue
prevTimestamp := rfa.prevTimestamp
if len(values) == 0 {
if math.IsNaN(prevValue) {
return nan
}
} else {
prevValue = values[len(values)-1]
prevTimestamp = timestamps[len(timestamps)-1]
}
dv := vEnd - prevValue
dt := tEnd - prevTimestamp
return dv / (float64(dt) / 1000)
}
func rollupChanges(rfa *rollupFuncArg) float64 {
// There is no need in handling NaNs here, since they must be cleanup up
// before calling rollup funcs.
values := rfa.values
if len(values) == 0 {
return nan
}
n := 0
prevValue := rfa.prevValue
if math.IsNaN(prevValue) {
prevValue = values[0]
}
for _, v := range values {
if v != prevValue {
n++
prevValue = v
}
}
return float64(n)
}
func rollupResets(rfa *rollupFuncArg) float64 {
// There is no need in handling NaNs here, since they must be cleanup up
// before calling rollup funcs.
values := rfa.values
if len(values) == 0 {
return nan
}
prevValue := rfa.prevValue
if math.IsNaN(prevValue) {
prevValue = values[0]
values = values[1:]
}
if len(values) == 0 {
return nan
}
n := 0
for _, v := range values {
if v < prevValue {
n++
}
prevValue = v
}
return float64(n)
}
func rollupFirst(rfa *rollupFuncArg) float64 {
// See https://prometheus.io/docs/prometheus/latest/querying/basics/#staleness
v := rfa.prevValue
if !math.IsNaN(v) {
return v
}
// There is no need in handling NaNs here, since they must be cleanup up
// before calling rollup funcs.
values := rfa.values
if len(values) == 0 {
return nan
}
return values[0]
}
var rollupDefault = rollupFirst
func rollupLast(rfa *rollupFuncArg) float64 {
// There is no need in handling NaNs here, since they must be cleanup up
// before calling rollup funcs.
values := rfa.values
if len(values) == 0 {
return nan
}
return values[len(values)-1]
}
func rollupDistinct(rfa *rollupFuncArg) float64 {
// There is no need in handling NaNs here, since they must be cleanup up
// before calling rollup funcs.
values := rfa.values
if len(values) == 0 {
return nan
}
m := make(map[float64]struct{})
for _, v := range values {
m[v] = struct{}{}
}
return float64(len(m))
}
func rollupIntegrate(rfa *rollupFuncArg) float64 {
prevTimestamp := rfa.prevTimestamp
// There is no need in handling NaNs here, since they must be cleanup up
// before calling rollup funcs.
values := rfa.values
timestamps := rfa.timestamps
if len(values) == 0 {
return nan
}
prevValue := rfa.prevValue
if math.IsNaN(prevValue) {
prevValue = values[0]
prevTimestamp = timestamps[0]
values = values[1:]
timestamps = timestamps[1:]
}
if len(values) == 0 {
return nan
}
var sum float64
for i, v := range values {
timestamp := timestamps[i]
dt := float64(timestamp-prevTimestamp) * 1e-3
sum += 0.5 * (v + prevValue) * dt
}
return sum
}
func rollupFake(rfa *rollupFuncArg) float64 {
logger.Panicf("BUG: rollupFake shouldn't be called")
return 0
}
func getScalar(arg interface{}, argNum int) ([]float64, error) {
ts, ok := arg.([]*timeseries)
if !ok {
return nil, fmt.Errorf(`unexpected type for arg #%d; got %T; want %T`, argNum+1, arg, ts)
}
if len(ts) != 1 {
return nil, fmt.Errorf(`arg #%d must contain a single timeseries; got %d timeseries`, argNum+1, len(ts))
}
return ts[0].Values, nil
}
func getString(tss []*timeseries, argNum int) (string, error) {
if len(tss) != 1 {
return "", fmt.Errorf(`arg #%d must contain a single timeseries; got %d timeseries`, argNum+1, len(tss))
}
ts := tss[0]
for _, v := range ts.Values {
if !math.IsNaN(v) {
return "", fmt.Errorf(`arg #%d contains non-string timeseries`, argNum+1)
}
}
return string(ts.MetricName.MetricGroup), nil
}
func expectRollupArgsNum(args []interface{}, expectedNum int) error {
if len(args) == expectedNum {
return nil
}
return fmt.Errorf(`unexpected number of args; got %d; want %d`, len(args), expectedNum)
}
func getRollupFuncArg() *rollupFuncArg {
v := rfaPool.Get()
if v == nil {
return &rollupFuncArg{}
}
return v.(*rollupFuncArg)
}
func putRollupFuncArg(rfa *rollupFuncArg) {
rfa.reset()
rfaPool.Put(rfa)
}
var rfaPool sync.Pool

View File

@ -0,0 +1,496 @@
package promql
import (
"crypto/rand"
"fmt"
"runtime"
"sync"
"sync/atomic"
"time"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/encoding"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/logger"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/memory"
"github.com/VictoriaMetrics/fastcache"
"github.com/VictoriaMetrics/metrics"
)
var rollupResultCacheV = &rollupResultCache{
fastcache.New(1024 * 1024), // This is a cache for testing.
}
var rollupResultCachePath string
func getRollupResultCacheSize() int {
rollupResultCacheSizeOnce.Do(func() {
n := memory.Allowed() / 16
if n <= 0 {
n = 1024 * 1024
}
rollupResultCacheSize = n
})
return rollupResultCacheSize
}
var (
rollupResultCacheSize int
rollupResultCacheSizeOnce sync.Once
)
// InitRollupResultCache initializes the rollupResult cache
func InitRollupResultCache(cachePath string) {
rollupResultCachePath = cachePath
startTime := time.Now()
var c *fastcache.Cache
if len(rollupResultCachePath) > 0 {
logger.Infof("loading rollupResult cache from %q...", rollupResultCachePath)
c = fastcache.LoadFromFileOrNew(rollupResultCachePath, getRollupResultCacheSize())
} else {
c = fastcache.New(getRollupResultCacheSize())
}
stats := &fastcache.Stats{}
var statsLock sync.Mutex
var statsLastUpdate time.Time
fcs := func() *fastcache.Stats {
statsLock.Lock()
defer statsLock.Unlock()
if time.Since(statsLastUpdate) < time.Second {
return stats
}
var fcs fastcache.Stats
c.UpdateStats(&fcs)
stats = &fcs
statsLastUpdate = time.Now()
return stats
}
if len(rollupResultCachePath) > 0 {
logger.Infof("loaded rollupResult cache from %q in %s; entriesCount: %d, bytesSize: %d",
rollupResultCachePath, time.Since(startTime), fcs().EntriesCount, fcs().BytesSize)
}
metrics.NewGauge(`vm_cache_entries{type="promql/rollupResult"}`, func() float64 {
return float64(fcs().EntriesCount)
})
metrics.NewGauge(`vm_cache_size_bytes{type="promql/rollupResult"}`, func() float64 {
return float64(fcs().BytesSize)
})
metrics.NewGauge(`vm_cache_requests_total{type="promql/rollupResult"}`, func() float64 {
return float64(fcs().GetCalls)
})
metrics.NewGauge(`vm_cache_misses_total{type="promql/rollupResult"}`, func() float64 {
return float64(fcs().Misses)
})
rollupResultCacheV = &rollupResultCache{
c: c,
}
}
// StopRollupResultCache closes the rollupResult cache.
func StopRollupResultCache() {
if len(rollupResultCachePath) == 0 {
rollupResultCacheV.c.Reset()
return
}
gomaxprocs := runtime.GOMAXPROCS(-1)
logger.Infof("saving rollupResult cache to %q...", rollupResultCachePath)
startTime := time.Now()
if err := rollupResultCacheV.c.SaveToFileConcurrent(rollupResultCachePath, gomaxprocs); err != nil {
logger.Errorf("cannot close rollupResult cache at %q: %s", rollupResultCachePath, err)
} else {
var fcs fastcache.Stats
rollupResultCacheV.c.UpdateStats(&fcs)
rollupResultCacheV.c.Reset()
logger.Infof("saved rollupResult cache to %q in %s; entriesCount: %d, bytesSize: %d",
rollupResultCachePath, time.Since(startTime), fcs.EntriesCount, fcs.BytesSize)
}
}
type rollupResultCache struct {
c *fastcache.Cache
}
var rollupResultCacheResets = metrics.NewCounter(`vm_cache_resets_total{type="promql/rollupResult"}`)
// ResetRollupResultCache resets rollup result cache.
func ResetRollupResultCache() {
rollupResultCacheResets.Inc()
rollupResultCacheV.c.Reset()
}
func (rrc *rollupResultCache) Get(funcName string, ec *EvalConfig, me *metricExpr, window int64) (tss []*timeseries, newStart int64) {
if !ec.mayCache() {
return nil, ec.Start
}
// Obtain tss from the cache.
bb := bbPool.Get()
defer bbPool.Put(bb)
bb.B = marshalRollupResultCacheKey(bb.B[:0], funcName, me, window, ec.Step)
metainfoBuf := rrc.c.Get(nil, bb.B)
if len(metainfoBuf) == 0 {
return nil, ec.Start
}
var mi rollupResultCacheMetainfo
if err := mi.Unmarshal(metainfoBuf); err != nil {
logger.Panicf("BUG: cannot unmarshal rollupResultCacheMetainfo: %s; it looks like it was improperly saved", err)
}
key := mi.GetBestKey(ec.Start, ec.End)
if key.prefix == 0 && key.suffix == 0 {
return nil, ec.Start
}
bb.B = key.Marshal(bb.B[:0])
resultBuf := rrc.c.GetBig(nil, bb.B)
if len(resultBuf) == 0 {
mi.RemoveKey(key)
metainfoBuf = mi.Marshal(metainfoBuf[:0])
bb.B = marshalRollupResultCacheKey(bb.B[:0], funcName, me, window, ec.Step)
rrc.c.Set(bb.B, metainfoBuf)
return nil, ec.Start
}
tss, err := unmarshalTimeseriesFast(resultBuf)
if err != nil {
logger.Panicf("BUG: cannot unmarshal timeseries from rollupResultCache: %s; it looks like it was improperly saved", err)
}
// Extract values for the matching timestamps
timestamps := tss[0].Timestamps
i := 0
for i < len(timestamps) && timestamps[i] < ec.Start {
i++
}
if i == len(timestamps) {
// no matches.
return nil, ec.Start
}
if timestamps[i] != ec.Start {
// The cached range doesn't cover the requested range.
return nil, ec.Start
}
j := len(timestamps) - 1
for j >= 0 && timestamps[j] > ec.End {
j--
}
j++
if j <= i {
// no matches.
return nil, ec.Start
}
for _, ts := range tss {
ts.Timestamps = ts.Timestamps[i:j]
ts.Values = ts.Values[i:j]
}
timestamps = tss[0].Timestamps
newStart = timestamps[len(timestamps)-1] + ec.Step
return tss, newStart
}
func (rrc *rollupResultCache) Put(funcName string, ec *EvalConfig, me *metricExpr, window int64, tss []*timeseries) {
if len(tss) == 0 || !ec.mayCache() {
return
}
// Remove values up to currentTime - step - maxSilenceInterval,
// since these values may be added later.
timestamps := tss[0].Timestamps
deadline := (time.Now().UnixNano() / 1e6) - ec.Step - maxSilenceInterval
i := len(timestamps) - 1
for i >= 0 && timestamps[i] > deadline {
i--
}
i++
if i == 0 {
// Nothing to store in the cache.
return
}
if i < len(timestamps) {
timestamps = timestamps[:i]
// Make a copy of tss and remove unfit values
rvs := copyTimeseriesShallow(tss)
for _, ts := range rvs {
ts.Timestamps = ts.Timestamps[:i]
ts.Values = ts.Values[:i]
}
tss = rvs
}
// Store tss in the cache.
maxMarshaledSize := getRollupResultCacheSize() / 4
tssMarshaled := marshalTimeseriesFast(tss, maxMarshaledSize, ec.Step)
if tssMarshaled == nil {
tooBigRollupResults.Inc()
return
}
bb := bbPool.Get()
defer bbPool.Put(bb)
var key rollupResultCacheKey
key.prefix = rollupResultCacheKeyPrefix
key.suffix = atomic.AddUint64(&rollupResultCacheKeySuffix, 1)
bb.B = key.Marshal(bb.B[:0])
rrc.c.SetBig(bb.B, tssMarshaled)
bb.B = marshalRollupResultCacheKey(bb.B[:0], funcName, me, window, ec.Step)
metainfoBuf := rrc.c.Get(nil, bb.B)
var mi rollupResultCacheMetainfo
if len(metainfoBuf) > 0 {
if err := mi.Unmarshal(metainfoBuf); err != nil {
logger.Panicf("BUG: cannot unmarshal rollupResultCacheMetainfo: %s; it looks like it was improperly saved", err)
}
}
mi.AddKey(key, timestamps[0], timestamps[len(timestamps)-1])
metainfoBuf = mi.Marshal(metainfoBuf[:0])
rrc.c.Set(bb.B, metainfoBuf)
}
var (
rollupResultCacheKeyPrefix = func() uint64 {
var buf [8]byte
if _, err := rand.Read(buf[:]); err != nil {
// do not use logger.Panicf, since it isn't initialized yet.
panic(fmt.Errorf("FATAL: cannot read random data for rollupResultCacheKeyPrefix: %s", err))
}
return encoding.UnmarshalUint64(buf[:])
}()
rollupResultCacheKeySuffix = uint64(time.Now().UnixNano())
)
var tooBigRollupResults = metrics.NewCounter("vm_too_big_rollup_results_total")
// Increment this value every time the format of the cache changes.
const rollupResultCacheVersion = 4
func marshalRollupResultCacheKey(dst []byte, funcName string, me *metricExpr, window, step int64) []byte {
dst = append(dst, rollupResultCacheVersion)
dst = encoding.MarshalUint64(dst, uint64(len(funcName)))
dst = append(dst, funcName...)
dst = encoding.MarshalInt64(dst, window)
dst = encoding.MarshalInt64(dst, step)
for i := range me.TagFilters {
dst = me.TagFilters[i].Marshal(dst)
}
return dst
}
// mergeTimeseries concatenates b with a and returns the result.
//
// Preconditions:
// - a mustn't intersect with b.
// - a timestamps must be smaller than b timestamps.
//
// Postconditions:
// - a and b cannot be used after returning from the call.
func mergeTimeseries(a, b []*timeseries, bStart int64, ec *EvalConfig) []*timeseries {
sharedTimestamps := ec.getSharedTimestamps()
if bStart == ec.Start {
// Nothing to merge - b covers all the time range.
// Verify b is correct.
for _, tsB := range b {
tsB.denyReuse = true
tsB.Timestamps = sharedTimestamps
if len(tsB.Values) != len(tsB.Timestamps) {
logger.Panicf("BUG: unexpected number of values in b; got %d; want %d", len(tsB.Values), len(tsB.Timestamps))
}
}
return b
}
m := make(map[string]*timeseries, len(a))
bb := bbPool.Get()
defer bbPool.Put(bb)
for _, ts := range a {
bb.B = marshalMetricNameSorted(bb.B[:0], &ts.MetricName)
m[string(bb.B)] = ts
}
rvs := make([]*timeseries, 0, len(a))
for _, tsB := range b {
var tmp timeseries
tmp.denyReuse = true
tmp.Timestamps = sharedTimestamps
tmp.Values = make([]float64, 0, len(tmp.Timestamps))
// Do not use MetricName.CopyFrom for performance reasons.
// It is safe to make shallow copy, since tsB must no longer used.
tmp.MetricName = tsB.MetricName
bb.B = marshalMetricNameSorted(bb.B[:0], &tsB.MetricName)
tsA := m[string(bb.B)]
if tsA == nil {
tStart := ec.Start
for tStart < bStart {
tmp.Values = append(tmp.Values, nan)
tStart += ec.Step
}
} else {
tmp.Values = append(tmp.Values, tsA.Values...)
delete(m, string(bb.B))
}
tmp.Values = append(tmp.Values, tsB.Values...)
if len(tmp.Values) != len(tmp.Timestamps) {
logger.Panicf("BUG: unexpected values after merging new values; got %d; want %d", len(tmp.Values), len(tmp.Timestamps))
}
rvs = append(rvs, &tmp)
}
// Copy the remaining timeseries from m.
for _, tsA := range m {
var tmp timeseries
tmp.denyReuse = true
tmp.Timestamps = sharedTimestamps
// Do not use MetricName.CopyFrom for performance reasons.
// It is safe to make shallow copy, since tsA must no longer used.
tmp.MetricName = tsA.MetricName
tmp.Values = append(tmp.Values, tsA.Values...)
tStart := bStart
for tStart <= ec.End {
tmp.Values = append(tmp.Values, nan)
tStart += ec.Step
}
if len(tmp.Values) != len(tmp.Timestamps) {
logger.Panicf("BUG: unexpected values in the result after adding cached values; got %d; want %d", len(tmp.Values), len(tmp.Timestamps))
}
rvs = append(rvs, &tmp)
}
return rvs
}
type rollupResultCacheMetainfo struct {
entries []rollupResultCacheMetainfoEntry
}
func (mi *rollupResultCacheMetainfo) Marshal(dst []byte) []byte {
dst = encoding.MarshalUint32(dst, uint32(len(mi.entries)))
for i := range mi.entries {
dst = mi.entries[i].Marshal(dst)
}
return dst
}
func (mi *rollupResultCacheMetainfo) Unmarshal(src []byte) error {
if len(src) < 4 {
return fmt.Errorf("cannot unmarshal len(etries) from %d bytes; need at least %d bytes", len(src), 4)
}
entriesLen := int(encoding.UnmarshalUint32(src))
src = src[4:]
if n := entriesLen - cap(mi.entries); n > 0 {
mi.entries = append(mi.entries[:cap(mi.entries)], make([]rollupResultCacheMetainfoEntry, n)...)
}
mi.entries = mi.entries[:entriesLen]
for i := 0; i < entriesLen; i++ {
tail, err := mi.entries[i].Unmarshal(src)
if err != nil {
return fmt.Errorf("cannot unmarshal entry #%d: %s", i, err)
}
src = tail
}
if len(src) > 0 {
return fmt.Errorf("unexpected non-empty tail left; len(tail)=%d", len(src))
}
return nil
}
func (mi *rollupResultCacheMetainfo) GetBestKey(start, end int64) rollupResultCacheKey {
if start > end {
logger.Panicf("BUG: start cannot exceed end; got %d vs %d", start, end)
}
var bestKey rollupResultCacheKey
bestD := int64(1<<63 - 1)
for i := range mi.entries {
e := &mi.entries[i]
if start < e.start || end <= e.start {
continue
}
d := start - e.start
if d < bestD {
bestD = d
bestKey = e.key
}
}
return bestKey
}
func (mi *rollupResultCacheMetainfo) AddKey(key rollupResultCacheKey, start, end int64) {
if start > end {
logger.Panicf("BUG: start cannot exceed end; got %d vs %d", start, end)
}
mi.entries = append(mi.entries, rollupResultCacheMetainfoEntry{
start: start,
end: end,
key: key,
})
if len(mi.entries) > 30 {
// Remove old entries.
mi.entries = append(mi.entries[:0], mi.entries[10:]...)
}
}
func (mi *rollupResultCacheMetainfo) RemoveKey(key rollupResultCacheKey) {
for i := range mi.entries {
if mi.entries[i].key == key {
mi.entries = append(mi.entries[:i], mi.entries[i+1:]...)
return
}
}
}
type rollupResultCacheMetainfoEntry struct {
start int64
end int64
key rollupResultCacheKey
}
func (mie *rollupResultCacheMetainfoEntry) Marshal(dst []byte) []byte {
dst = encoding.MarshalInt64(dst, mie.start)
dst = encoding.MarshalInt64(dst, mie.end)
dst = encoding.MarshalUint64(dst, mie.key.prefix)
dst = encoding.MarshalUint64(dst, mie.key.suffix)
return dst
}
func (mie *rollupResultCacheMetainfoEntry) Unmarshal(src []byte) ([]byte, error) {
if len(src) < 8 {
return src, fmt.Errorf("cannot unmarshal start from %d bytes; need at least %d bytes", len(src), 8)
}
mie.start = encoding.UnmarshalInt64(src)
src = src[8:]
if len(src) < 8 {
return src, fmt.Errorf("cannot unmarshal end from %d bytes; need at least %d bytes", len(src), 8)
}
mie.end = encoding.UnmarshalInt64(src)
src = src[8:]
if len(src) < 8 {
return src, fmt.Errorf("cannot unmarshal key prefix from %d bytes; need at least %d bytes", len(src), 8)
}
mie.key.prefix = encoding.UnmarshalUint64(src)
src = src[8:]
if len(src) < 8 {
return src, fmt.Errorf("cannot unmarshal key suffix from %d bytes; need at least %d bytes", len(src), 8)
}
mie.key.suffix = encoding.UnmarshalUint64(src)
src = src[8:]
return src, nil
}
// rollupResultCacheKey must be globally unique across vmselect nodes,
// so it has prefix and suffix.
type rollupResultCacheKey struct {
prefix uint64
suffix uint64
}
func (k *rollupResultCacheKey) Marshal(dst []byte) []byte {
dst = append(dst, rollupResultCacheVersion)
dst = encoding.MarshalUint64(dst, k.prefix)
dst = encoding.MarshalUint64(dst, k.suffix)
return dst
}

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@ -0,0 +1,368 @@
package promql
import (
"testing"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/storage"
)
func TestRollupResultCache(t *testing.T) {
ResetRollupResultCache()
funcName := "foo"
window := int64(456)
ec := &EvalConfig{
Start: 1000,
End: 2000,
Step: 200,
MayCache: true,
}
me := &metricExpr{
TagFilters: []storage.TagFilter{{
Key: []byte("aaa"),
Value: []byte("xxx"),
}},
}
// Try obtaining an empty value.
t.Run("empty", func(t *testing.T) {
tss, newStart := rollupResultCacheV.Get(funcName, ec, me, window)
if newStart != ec.Start {
t.Fatalf("unexpected newStart; got %d; want %d", newStart, ec.Start)
}
if len(tss) != 0 {
t.Fatalf("got %d timeseries, while expecting zero", len(tss))
}
})
// Store timeseries overlapping with start
t.Run("start-overlap", func(t *testing.T) {
ResetRollupResultCache()
tss := []*timeseries{
&timeseries{
Timestamps: []int64{800, 1000, 1200},
Values: []float64{0, 1, 2},
},
}
rollupResultCacheV.Put(funcName, ec, me, window, tss)
tss, newStart := rollupResultCacheV.Get(funcName, ec, me, window)
if newStart != 1400 {
t.Fatalf("unexpected newStart; got %d; want %d", newStart, 1400)
}
tssExpected := []*timeseries{
&timeseries{
Timestamps: []int64{1000, 1200},
Values: []float64{1, 2},
},
}
testTimeseriesEqual(t, tss, tssExpected)
})
// Store timeseries overlapping with end
t.Run("end-overlap", func(t *testing.T) {
ResetRollupResultCache()
tss := []*timeseries{
&timeseries{
Timestamps: []int64{1800, 2000, 2200, 2400},
Values: []float64{333, 0, 1, 2},
},
}
rollupResultCacheV.Put(funcName, ec, me, window, tss)
tss, newStart := rollupResultCacheV.Get(funcName, ec, me, window)
if newStart != 1000 {
t.Fatalf("unexpected newStart; got %d; want %d", newStart, 1000)
}
if len(tss) != 0 {
t.Fatalf("got %d timeseries, while expecting zero", len(tss))
}
})
// Store timeseries covered by [start ... end]
t.Run("full-cover", func(t *testing.T) {
ResetRollupResultCache()
tss := []*timeseries{
&timeseries{
Timestamps: []int64{1200, 1400, 1600},
Values: []float64{0, 1, 2},
},
}
rollupResultCacheV.Put(funcName, ec, me, window, tss)
tss, newStart := rollupResultCacheV.Get(funcName, ec, me, window)
if newStart != 1000 {
t.Fatalf("unexpected newStart; got %d; want %d", newStart, 1000)
}
if len(tss) != 0 {
t.Fatalf("got %d timeseries, while expecting zero", len(tss))
}
})
// Store timeseries below start
t.Run("before-start", func(t *testing.T) {
ResetRollupResultCache()
tss := []*timeseries{
&timeseries{
Timestamps: []int64{200, 400, 600},
Values: []float64{0, 1, 2},
},
}
rollupResultCacheV.Put(funcName, ec, me, window, tss)
tss, newStart := rollupResultCacheV.Get(funcName, ec, me, window)
if newStart != 1000 {
t.Fatalf("unexpected newStart; got %d; want %d", newStart, 1000)
}
if len(tss) != 0 {
t.Fatalf("got %d timeseries, while expecting zero", len(tss))
}
})
// Store timeseries after end
t.Run("after-end", func(t *testing.T) {
ResetRollupResultCache()
tss := []*timeseries{
&timeseries{
Timestamps: []int64{2200, 2400, 2600},
Values: []float64{0, 1, 2},
},
}
rollupResultCacheV.Put(funcName, ec, me, window, tss)
tss, newStart := rollupResultCacheV.Get(funcName, ec, me, window)
if newStart != 1000 {
t.Fatalf("unexpected newStart; got %d; want %d", newStart, 1000)
}
if len(tss) != 0 {
t.Fatalf("got %d timeseries, while expecting zero", len(tss))
}
})
// Store timeseries bigger than the interval [start ... end]
t.Run("bigger-than-start-end", func(t *testing.T) {
ResetRollupResultCache()
tss := []*timeseries{
&timeseries{
Timestamps: []int64{800, 1000, 1200, 1400, 1600, 1800, 2000, 2200},
Values: []float64{0, 1, 2, 3, 4, 5, 6, 7},
},
}
rollupResultCacheV.Put(funcName, ec, me, window, tss)
tss, newStart := rollupResultCacheV.Get(funcName, ec, me, window)
if newStart != 2200 {
t.Fatalf("unexpected newStart; got %d; want %d", newStart, 2200)
}
tssExpected := []*timeseries{
&timeseries{
Timestamps: []int64{1000, 1200, 1400, 1600, 1800, 2000},
Values: []float64{1, 2, 3, 4, 5, 6},
},
}
testTimeseriesEqual(t, tss, tssExpected)
})
// Store timeseries matching the interval [start ... end]
t.Run("start-end-match", func(t *testing.T) {
ResetRollupResultCache()
tss := []*timeseries{
&timeseries{
Timestamps: []int64{1000, 1200, 1400, 1600, 1800, 2000},
Values: []float64{1, 2, 3, 4, 5, 6},
},
}
rollupResultCacheV.Put(funcName, ec, me, window, tss)
tss, newStart := rollupResultCacheV.Get(funcName, ec, me, window)
if newStart != 2200 {
t.Fatalf("unexpected newStart; got %d; want %d", newStart, 2200)
}
tssExpected := []*timeseries{
&timeseries{
Timestamps: []int64{1000, 1200, 1400, 1600, 1800, 2000},
Values: []float64{1, 2, 3, 4, 5, 6},
},
}
testTimeseriesEqual(t, tss, tssExpected)
})
// Store big timeseries, so their marshaled size exceeds 64Kb.
t.Run("big-timeseries", func(t *testing.T) {
ResetRollupResultCache()
var tss []*timeseries
for i := 0; i < 1000; i++ {
ts := &timeseries{
Timestamps: []int64{1000, 1200, 1400, 1600, 1800, 2000},
Values: []float64{1, 2, 3, 4, 5, 6},
}
tss = append(tss, ts)
}
rollupResultCacheV.Put(funcName, ec, me, window, tss)
tssResult, newStart := rollupResultCacheV.Get(funcName, ec, me, window)
if newStart != 2200 {
t.Fatalf("unexpected newStart; got %d; want %d", newStart, 2200)
}
testTimeseriesEqual(t, tssResult, tss)
})
// Store multiple time series
t.Run("multi-timeseries", func(t *testing.T) {
ResetRollupResultCache()
tss1 := []*timeseries{
&timeseries{
Timestamps: []int64{800, 1000, 1200},
Values: []float64{0, 1, 2},
},
}
tss2 := []*timeseries{
&timeseries{
Timestamps: []int64{1800, 2000, 2200, 2400},
Values: []float64{333, 0, 1, 2},
},
}
tss3 := []*timeseries{
&timeseries{
Timestamps: []int64{1200, 1400, 1600},
Values: []float64{0, 1, 2},
},
}
rollupResultCacheV.Put(funcName, ec, me, window, tss1)
rollupResultCacheV.Put(funcName, ec, me, window, tss2)
rollupResultCacheV.Put(funcName, ec, me, window, tss3)
tss, newStart := rollupResultCacheV.Get(funcName, ec, me, window)
if newStart != 1400 {
t.Fatalf("unexpected newStart; got %d; want %d", newStart, 1400)
}
tssExpected := []*timeseries{
&timeseries{
Timestamps: []int64{1000, 1200},
Values: []float64{1, 2},
},
}
testTimeseriesEqual(t, tss, tssExpected)
})
}
func TestMergeTimeseries(t *testing.T) {
ec := &EvalConfig{
Start: 1000,
End: 2000,
Step: 200,
}
bStart := int64(1400)
t.Run("bStart=ec.Start", func(t *testing.T) {
a := []*timeseries{}
b := []*timeseries{
&timeseries{
Timestamps: []int64{1000, 1200, 1400, 1600, 1800, 2000},
Values: []float64{1, 2, 3, 4, 5, 6},
},
}
tss := mergeTimeseries(a, b, 1000, ec)
tssExpected := []*timeseries{
&timeseries{
Timestamps: []int64{1000, 1200, 1400, 1600, 1800, 2000},
Values: []float64{1, 2, 3, 4, 5, 6},
},
}
testTimeseriesEqual(t, tss, tssExpected)
})
t.Run("a-empty", func(t *testing.T) {
a := []*timeseries{}
b := []*timeseries{
&timeseries{
Timestamps: []int64{1400, 1600, 1800, 2000},
Values: []float64{3, 4, 5, 6},
},
}
tss := mergeTimeseries(a, b, bStart, ec)
tssExpected := []*timeseries{
&timeseries{
Timestamps: []int64{1000, 1200, 1400, 1600, 1800, 2000},
Values: []float64{nan, nan, 3, 4, 5, 6},
},
}
testTimeseriesEqual(t, tss, tssExpected)
})
t.Run("b-empty", func(t *testing.T) {
a := []*timeseries{
&timeseries{
Timestamps: []int64{1000, 1200},
Values: []float64{2, 1},
},
}
b := []*timeseries{}
tss := mergeTimeseries(a, b, bStart, ec)
tssExpected := []*timeseries{
&timeseries{
Timestamps: []int64{1000, 1200, 1400, 1600, 1800, 2000},
Values: []float64{2, 1, nan, nan, nan, nan},
},
}
testTimeseriesEqual(t, tss, tssExpected)
})
t.Run("non-empty", func(t *testing.T) {
a := []*timeseries{
&timeseries{
Timestamps: []int64{1000, 1200},
Values: []float64{2, 1},
},
}
b := []*timeseries{
&timeseries{
Timestamps: []int64{1400, 1600, 1800, 2000},
Values: []float64{3, 4, 5, 6},
},
}
tss := mergeTimeseries(a, b, bStart, ec)
tssExpected := []*timeseries{
&timeseries{
Timestamps: []int64{1000, 1200, 1400, 1600, 1800, 2000},
Values: []float64{2, 1, 3, 4, 5, 6},
},
}
testTimeseriesEqual(t, tss, tssExpected)
})
t.Run("non-empty-distinct-metric-names", func(t *testing.T) {
a := []*timeseries{
&timeseries{
Timestamps: []int64{1000, 1200},
Values: []float64{2, 1},
},
}
a[0].MetricName.MetricGroup = []byte("bar")
b := []*timeseries{
&timeseries{
Timestamps: []int64{1400, 1600, 1800, 2000},
Values: []float64{3, 4, 5, 6},
},
}
b[0].MetricName.MetricGroup = []byte("foo")
tss := mergeTimeseries(a, b, bStart, ec)
tssExpected := []*timeseries{
&timeseries{
MetricName: storage.MetricName{
MetricGroup: []byte("foo"),
},
Timestamps: []int64{1000, 1200, 1400, 1600, 1800, 2000},
Values: []float64{nan, nan, 3, 4, 5, 6},
},
&timeseries{
MetricName: storage.MetricName{
MetricGroup: []byte("bar"),
},
Timestamps: []int64{1000, 1200, 1400, 1600, 1800, 2000},
Values: []float64{2, 1, nan, nan, nan, nan},
},
}
testTimeseriesEqual(t, tss, tssExpected)
})
}
func testTimeseriesEqual(t *testing.T, tss, tssExpected []*timeseries) {
t.Helper()
if len(tss) != len(tssExpected) {
t.Fatalf(`unexpected timeseries count; got %d; want %d`, len(tss), len(tssExpected))
}
for i, ts := range tss {
tsExpected := tssExpected[i]
testMetricNamesEqual(t, &ts.MetricName, &tsExpected.MetricName)
testRowsEqual(t, ts.Values, ts.Timestamps, tsExpected.Values, tsExpected.Timestamps)
}
}

View File

@ -0,0 +1,649 @@
package promql
import (
"math"
"testing"
)
var (
testValues = []float64{123, 34, 44, 21, 54, 34, 99, 12, 44, 32, 34, 34}
testTimestamps = []int64{5, 15, 24, 36, 49, 60, 78, 80, 97, 115, 120, 130}
)
func TestRemoveCounterResets(t *testing.T) {
removeCounterResets(nil)
values := append([]float64{}, testValues...)
removeCounterResets(values)
valuesExpected := []float64{123, 157, 167, 188, 221, 255, 320, 332, 364, 396, 398, 398}
testRowsEqual(t, values, testTimestamps, valuesExpected, testTimestamps)
// removeCounterResets doesn't expect negative values, so it doesn't work properly with them.
values = []float64{-100, -200, -300, -400}
removeCounterResets(values)
valuesExpected = []float64{-100, -300, -600, -1000}
timestampsExpected := []int64{0, 1, 2, 3}
testRowsEqual(t, values, timestampsExpected, valuesExpected, timestampsExpected)
// verify how jitter from `Prometheus HA pairs` is handled
values = []float64{100, 95, 120, 140, 137, 50}
removeCounterResets(values)
valuesExpected = []float64{100, 100, 120, 140, 140, 190}
timestampsExpected = []int64{0, 1, 2, 3, 4, 5}
testRowsEqual(t, values, timestampsExpected, valuesExpected, timestampsExpected)
}
func TestDeltaValues(t *testing.T) {
deltaValues(nil)
values := []float64{123}
deltaValues(values)
valuesExpected := []float64{nan}
testRowsEqual(t, values, testTimestamps[:1], valuesExpected, testTimestamps[:1])
values = append([]float64{}, testValues...)
deltaValues(values)
valuesExpected = []float64{-89, 10, -23, 33, -20, 65, -87, 32, -12, 2, 0, nan}
testRowsEqual(t, values, testTimestamps, valuesExpected, testTimestamps)
// remove counter resets
values = append([]float64{}, testValues...)
removeCounterResets(values)
deltaValues(values)
valuesExpected = []float64{34, 10, 21, 33, 34, 65, 12, 32, 32, 2, 0, nan}
testRowsEqual(t, values, testTimestamps, valuesExpected, testTimestamps)
}
func TestDerivValues(t *testing.T) {
derivValues(nil, nil)
values := []float64{123}
derivValues(values, testTimestamps[:1])
valuesExpected := []float64{nan}
testRowsEqual(t, values, testTimestamps[:1], valuesExpected, testTimestamps[:1])
values = append([]float64{}, testValues...)
derivValues(values, testTimestamps)
valuesExpected = []float64{-8900, 1111.111111111111, -1916.6666666666665, 2538.461538461538, -1818.1818181818182, 3611.111111111111,
-43500, 1882.3529411764705, -666.6666666666666, 400, 0, nan}
testRowsEqual(t, values, testTimestamps, valuesExpected, testTimestamps)
// remove counter resets
values = append([]float64{}, testValues...)
removeCounterResets(values)
derivValues(values, testTimestamps)
valuesExpected = []float64{3400, 1111.111111111111, 1750, 2538.461538461538, 3090.909090909091, 3611.111111111111,
6000, 1882.3529411764705, 1777.7777777777776, 400, 0, nan}
testRowsEqual(t, values, testTimestamps, valuesExpected, testTimestamps)
}
func testRollupFunc(t *testing.T, funcName string, args []interface{}, meExpected *metricExpr, vExpected float64) {
t.Helper()
nrf := getRollupFunc(funcName)
if nrf == nil {
t.Fatalf("cannot obtain %q", funcName)
}
rf, err := nrf(args)
if err != nil {
t.Fatalf("unexpected error: %s", err)
}
var rfa rollupFuncArg
rfa.prevValue = nan
rfa.prevTimestamp = 0
rfa.values = append(rfa.values, testValues...)
rfa.timestamps = append(rfa.timestamps, testTimestamps...)
if rollupFuncsRemoveCounterResets[funcName] {
removeCounterResets(rfa.values)
}
for i := 0; i < 5; i++ {
v := rf(&rfa)
if math.IsNaN(vExpected) {
if !math.IsNaN(v) {
t.Fatalf("unexpected value; got %v; want %v", v, vExpected)
}
} else {
if v != vExpected {
t.Fatalf("unexpected value; got %v; want %v", v, vExpected)
}
}
}
}
func TestRollupQuantileOverTime(t *testing.T) {
f := func(phi, vExpected float64) {
t.Helper()
phis := []*timeseries{{
Values: []float64{phi},
Timestamps: []int64{123},
}}
var me metricExpr
args := []interface{}{phis, &rollupExpr{Expr: &me}}
testRollupFunc(t, "quantile_over_time", args, &me, vExpected)
}
f(-123, 12)
f(-0.5, 12)
f(0, 12)
f(0.1, 21)
f(0.5, 34)
f(0.9, 99)
f(1, 123)
f(234, 123)
}
func TestRollupPredictLinear(t *testing.T) {
f := func(sec, vExpected float64) {
t.Helper()
secs := []*timeseries{{
Values: []float64{sec},
Timestamps: []int64{123},
}}
var me metricExpr
args := []interface{}{&rollupExpr{Expr: &me}, secs}
testRollupFunc(t, "predict_linear", args, &me, vExpected)
}
f(0e-3, 63.739757761102624)
f(50e-3, 50.39682764539959)
f(100e-3, 37.053897529696556)
f(200e-3, 10.368037298290488)
}
func TestRollupHoltWinters(t *testing.T) {
f := func(sf, tf, vExpected float64) {
t.Helper()
sfs := []*timeseries{{
Values: []float64{sf},
Timestamps: []int64{123},
}}
tfs := []*timeseries{{
Values: []float64{tf},
Timestamps: []int64{123},
}}
var me metricExpr
args := []interface{}{&rollupExpr{Expr: &me}, sfs, tfs}
testRollupFunc(t, "holt_winters", args, &me, vExpected)
}
f(-1, 0.5, nan)
f(0, 0.5, nan)
f(1, 0.5, nan)
f(2, 0.5, nan)
f(0.5, -1, nan)
f(0.5, 0, nan)
f(0.5, 1, nan)
f(0.5, 2, nan)
f(0.5, 0.5, 34.97794532775879)
f(0.1, 0.5, -131.30529492371622)
f(0.1, 0.1, -397.3307790780296)
f(0.5, 0.1, -5.791530520284198)
f(0.5, 0.9, 25.498906408926757)
f(0.9, 0.9, 33.99637566941818)
}
func TestRollupNewRollupFuncSuccess(t *testing.T) {
f := func(funcName string, vExpected float64) {
t.Helper()
var me metricExpr
args := []interface{}{&rollupExpr{Expr: &me}}
testRollupFunc(t, funcName, args, &me, vExpected)
}
f("default_rollup", 123)
f("changes", 10)
f("delta", -89)
f("deriv", -712)
f("idelta", 0)
f("increase", 275)
f("irate", 0)
f("rate", 2200)
f("resets", 5)
f("avg_over_time", 47.083333333333336)
f("min_over_time", 12)
f("max_over_time", 123)
f("sum_over_time", 565)
f("count_over_time", 12)
f("stddev_over_time", 30.752935722554287)
f("stdvar_over_time", 945.7430555555555)
f("first_over_time", 123)
f("last_over_time", 34)
f("integrate", 61.0275)
}
func TestRollupNewRollupFuncError(t *testing.T) {
if nrf := getRollupFunc("non-existing-func"); nrf != nil {
t.Fatalf("expecting nil func; got %p", nrf)
}
f := func(funcName string, args []interface{}) {
t.Helper()
nrf := getRollupFunc(funcName)
rf, err := nrf(args)
if err == nil {
t.Fatalf("expecting non-nil error")
}
if rf != nil {
t.Fatalf("expecting nil rf; got %p", rf)
}
}
// Invalid number of args
f("default_rollup", nil)
f("holt_winters", nil)
f("predict_linear", nil)
f("quantile_over_time", nil)
// Invalid arg type
scalarTs := []*timeseries{{
Values: []float64{321},
Timestamps: []int64{123},
}}
me := &metricExpr{}
f("holt_winters", []interface{}{123, 123, 321})
f("holt_winters", []interface{}{me, 123, 321})
f("holt_winters", []interface{}{me, scalarTs, 321})
f("predict_linear", []interface{}{123, 123})
f("predict_linear", []interface{}{me, 123})
f("quantile_over_time", []interface{}{123, 123})
}
func TestRollupNoWindowNoPoints(t *testing.T) {
t.Run("beforeStart", func(t *testing.T) {
rc := rollupConfig{
Func: rollupFirst,
Start: 0,
End: 4,
Step: 1,
Window: 0,
}
rc.Timestamps = getTimestamps(rc.Start, rc.End, rc.Step)
values := rc.Do(nil, testValues, testTimestamps)
valuesExpected := []float64{nan, nan, nan, nan, 123}
timestampsExpected := []int64{0, 1, 2, 3, 4}
testRowsEqual(t, values, rc.Timestamps, valuesExpected, timestampsExpected)
})
t.Run("afterEnd", func(t *testing.T) {
rc := rollupConfig{
Func: rollupDelta,
Start: 120,
End: 144,
Step: 4,
Window: 0,
}
rc.Timestamps = getTimestamps(rc.Start, rc.End, rc.Step)
values := rc.Do(nil, testValues, testTimestamps)
valuesExpected := []float64{2, 2, 0, 0, 0, nan, nan}
timestampsExpected := []int64{120, 124, 128, 132, 136, 140, 144}
testRowsEqual(t, values, rc.Timestamps, valuesExpected, timestampsExpected)
})
}
func TestRollupWindowNoPoints(t *testing.T) {
t.Run("beforeStart", func(t *testing.T) {
rc := rollupConfig{
Func: rollupFirst,
Start: 0,
End: 4,
Step: 1,
Window: 3,
}
rc.Timestamps = getTimestamps(rc.Start, rc.End, rc.Step)
values := rc.Do(nil, testValues, testTimestamps)
valuesExpected := []float64{nan, nan, nan, nan, 123}
timestampsExpected := []int64{0, 1, 2, 3, 4}
testRowsEqual(t, values, rc.Timestamps, valuesExpected, timestampsExpected)
})
t.Run("afterEnd", func(t *testing.T) {
rc := rollupConfig{
Func: rollupFirst,
Start: 141,
End: 171,
Step: 10,
Window: 3,
}
rc.Timestamps = getTimestamps(rc.Start, rc.End, rc.Step)
values := rc.Do(nil, testValues, testTimestamps)
valuesExpected := []float64{34, nan, nan, nan}
timestampsExpected := []int64{141, 151, 161, 171}
testRowsEqual(t, values, rc.Timestamps, valuesExpected, timestampsExpected)
})
}
func TestRollupNoWindowPartialPoints(t *testing.T) {
t.Run("beforeStart", func(t *testing.T) {
rc := rollupConfig{
Func: rollupFirst,
Start: 0,
End: 20,
Step: 5,
Window: 0,
}
rc.Timestamps = getTimestamps(rc.Start, rc.End, rc.Step)
values := rc.Do(nil, testValues, testTimestamps)
valuesExpected := []float64{123, 123, 123, 123, 123}
timestampsExpected := []int64{0, 5, 10, 15, 20}
testRowsEqual(t, values, rc.Timestamps, valuesExpected, timestampsExpected)
})
t.Run("afterEnd", func(t *testing.T) {
rc := rollupConfig{
Func: rollupFirst,
Start: 100,
End: 160,
Step: 20,
Window: 0,
}
rc.Timestamps = getTimestamps(rc.Start, rc.End, rc.Step)
values := rc.Do(nil, testValues, testTimestamps)
valuesExpected := []float64{44, 34, 34, nan}
timestampsExpected := []int64{100, 120, 140, 160}
testRowsEqual(t, values, rc.Timestamps, valuesExpected, timestampsExpected)
})
t.Run("middle", func(t *testing.T) {
rc := rollupConfig{
Func: rollupFirst,
Start: -50,
End: 150,
Step: 50,
Window: 0,
}
rc.Timestamps = getTimestamps(rc.Start, rc.End, rc.Step)
values := rc.Do(nil, testValues, testTimestamps)
valuesExpected := []float64{nan, 123, 54, 44, nan}
timestampsExpected := []int64{-50, 0, 50, 100, 150}
testRowsEqual(t, values, rc.Timestamps, valuesExpected, timestampsExpected)
})
}
func TestRollupWindowPartialPoints(t *testing.T) {
t.Run("beforeStart", func(t *testing.T) {
rc := rollupConfig{
Func: rollupLast,
Start: 0,
End: 20,
Step: 5,
Window: 8,
}
rc.Timestamps = getTimestamps(rc.Start, rc.End, rc.Step)
values := rc.Do(nil, testValues, testTimestamps)
valuesExpected := []float64{123, 123, 34, 34, 44}
timestampsExpected := []int64{0, 5, 10, 15, 20}
testRowsEqual(t, values, rc.Timestamps, valuesExpected, timestampsExpected)
})
t.Run("afterEnd", func(t *testing.T) {
rc := rollupConfig{
Func: rollupLast,
Start: 100,
End: 160,
Step: 20,
Window: 18,
}
rc.Timestamps = getTimestamps(rc.Start, rc.End, rc.Step)
values := rc.Do(nil, testValues, testTimestamps)
valuesExpected := []float64{34, 34, nan, nan}
timestampsExpected := []int64{100, 120, 140, 160}
testRowsEqual(t, values, rc.Timestamps, valuesExpected, timestampsExpected)
})
t.Run("middle", func(t *testing.T) {
rc := rollupConfig{
Func: rollupLast,
Start: 0,
End: 150,
Step: 50,
Window: 19,
}
rc.Timestamps = getTimestamps(rc.Start, rc.End, rc.Step)
values := rc.Do(nil, testValues, testTimestamps)
valuesExpected := []float64{54, 44, nan, nan}
timestampsExpected := []int64{0, 50, 100, 150}
testRowsEqual(t, values, rc.Timestamps, valuesExpected, timestampsExpected)
})
}
func TestRollupFuncsNoWindow(t *testing.T) {
t.Run("first", func(t *testing.T) {
rc := rollupConfig{
Func: rollupFirst,
Start: 0,
End: 160,
Step: 40,
Window: 0,
}
rc.Timestamps = getTimestamps(rc.Start, rc.End, rc.Step)
values := rc.Do(nil, testValues, testTimestamps)
valuesExpected := []float64{123, 21, 12, 34, nan}
timestampsExpected := []int64{0, 40, 80, 120, 160}
testRowsEqual(t, values, rc.Timestamps, valuesExpected, timestampsExpected)
})
t.Run("count", func(t *testing.T) {
rc := rollupConfig{
Func: rollupCount,
Start: 0,
End: 160,
Step: 40,
Window: 0,
}
rc.Timestamps = getTimestamps(rc.Start, rc.End, rc.Step)
values := rc.Do(nil, testValues, testTimestamps)
valuesExpected := []float64{4, 4, 3, 1, nan}
timestampsExpected := []int64{0, 40, 80, 120, 160}
testRowsEqual(t, values, rc.Timestamps, valuesExpected, timestampsExpected)
})
t.Run("min", func(t *testing.T) {
rc := rollupConfig{
Func: rollupMin,
Start: 0,
End: 160,
Step: 40,
Window: 0,
}
rc.Timestamps = getTimestamps(rc.Start, rc.End, rc.Step)
values := rc.Do(nil, testValues, testTimestamps)
valuesExpected := []float64{21, 12, 32, 34, nan}
timestampsExpected := []int64{0, 40, 80, 120, 160}
testRowsEqual(t, values, rc.Timestamps, valuesExpected, timestampsExpected)
})
t.Run("max", func(t *testing.T) {
rc := rollupConfig{
Func: rollupMax,
Start: 0,
End: 160,
Step: 40,
Window: 0,
}
rc.Timestamps = getTimestamps(rc.Start, rc.End, rc.Step)
values := rc.Do(nil, testValues, testTimestamps)
valuesExpected := []float64{123, 99, 44, 34, nan}
timestampsExpected := []int64{0, 40, 80, 120, 160}
testRowsEqual(t, values, rc.Timestamps, valuesExpected, timestampsExpected)
})
t.Run("sum", func(t *testing.T) {
rc := rollupConfig{
Func: rollupSum,
Start: 0,
End: 160,
Step: 40,
Window: 0,
}
rc.Timestamps = getTimestamps(rc.Start, rc.End, rc.Step)
values := rc.Do(nil, testValues, testTimestamps)
valuesExpected := []float64{222, 199, 110, 34, nan}
timestampsExpected := []int64{0, 40, 80, 120, 160}
testRowsEqual(t, values, rc.Timestamps, valuesExpected, timestampsExpected)
})
t.Run("delta", func(t *testing.T) {
rc := rollupConfig{
Func: rollupDelta,
Start: 0,
End: 160,
Step: 40,
Window: 0,
}
rc.Timestamps = getTimestamps(rc.Start, rc.End, rc.Step)
values := rc.Do(nil, testValues, testTimestamps)
valuesExpected := []float64{-102, -9, 22, 0, nan}
timestampsExpected := []int64{0, 40, 80, 120, 160}
testRowsEqual(t, values, rc.Timestamps, valuesExpected, timestampsExpected)
})
t.Run("idelta", func(t *testing.T) {
rc := rollupConfig{
Func: rollupIdelta,
Start: 10,
End: 130,
Step: 40,
Window: 0,
}
rc.Timestamps = getTimestamps(rc.Start, rc.End, rc.Step)
values := rc.Do(nil, testValues, testTimestamps)
valuesExpected := []float64{33, -87, 0, nan}
timestampsExpected := []int64{10, 50, 90, 130}
testRowsEqual(t, values, rc.Timestamps, valuesExpected, timestampsExpected)
})
t.Run("changes", func(t *testing.T) {
rc := rollupConfig{
Func: rollupChanges,
Start: 0,
End: 160,
Step: 40,
Window: 0,
}
rc.Timestamps = getTimestamps(rc.Start, rc.End, rc.Step)
values := rc.Do(nil, testValues, testTimestamps)
valuesExpected := []float64{3, 4, 3, 0, nan}
timestampsExpected := []int64{0, 40, 80, 120, 160}
testRowsEqual(t, values, rc.Timestamps, valuesExpected, timestampsExpected)
})
t.Run("resets", func(t *testing.T) {
rc := rollupConfig{
Func: rollupResets,
Start: 0,
End: 160,
Step: 40,
Window: 0,
}
rc.Timestamps = getTimestamps(rc.Start, rc.End, rc.Step)
values := rc.Do(nil, testValues, testTimestamps)
valuesExpected := []float64{2, 2, 1, 0, nan}
timestampsExpected := []int64{0, 40, 80, 120, 160}
testRowsEqual(t, values, rc.Timestamps, valuesExpected, timestampsExpected)
})
t.Run("avg", func(t *testing.T) {
rc := rollupConfig{
Func: rollupAvg,
Start: 0,
End: 160,
Step: 40,
Window: 0,
}
rc.Timestamps = getTimestamps(rc.Start, rc.End, rc.Step)
values := rc.Do(nil, testValues, testTimestamps)
valuesExpected := []float64{55.5, 49.75, 36.666666666666664, 34, nan}
timestampsExpected := []int64{0, 40, 80, 120, 160}
testRowsEqual(t, values, rc.Timestamps, valuesExpected, timestampsExpected)
})
t.Run("deriv", func(t *testing.T) {
rc := rollupConfig{
Func: rollupDeriv,
Start: 0,
End: 160,
Step: 40,
Window: 0,
}
rc.Timestamps = getTimestamps(rc.Start, rc.End, rc.Step)
values := rc.Do(nil, testValues, testTimestamps)
valuesExpected := []float64{-3290.3225806451615, -204.54545454545456, 550, 0, nan}
timestampsExpected := []int64{0, 40, 80, 120, 160}
testRowsEqual(t, values, rc.Timestamps, valuesExpected, timestampsExpected)
})
t.Run("ideriv", func(t *testing.T) {
rc := rollupConfig{
Func: rollupIderiv,
Start: 0,
End: 160,
Step: 40,
Window: 0,
}
rc.Timestamps = getTimestamps(rc.Start, rc.End, rc.Step)
values := rc.Do(nil, testValues, testTimestamps)
valuesExpected := []float64{-1916.6666666666665, -43500, 400, 0, nan}
timestampsExpected := []int64{0, 40, 80, 120, 160}
testRowsEqual(t, values, rc.Timestamps, valuesExpected, timestampsExpected)
})
t.Run("stddev", func(t *testing.T) {
rc := rollupConfig{
Func: rollupStddev,
Start: 0,
End: 160,
Step: 40,
Window: 0,
}
rc.Timestamps = getTimestamps(rc.Start, rc.End, rc.Step)
values := rc.Do(nil, testValues, testTimestamps)
valuesExpected := []float64{39.81519810323691, 32.080952292598795, 5.2493385826745405, 0, nan}
timestampsExpected := []int64{0, 40, 80, 120, 160}
testRowsEqual(t, values, rc.Timestamps, valuesExpected, timestampsExpected)
})
t.Run("integrate", func(t *testing.T) {
rc := rollupConfig{
Func: rollupIntegrate,
Start: 0,
End: 160,
Step: 40,
Window: 0,
}
rc.Timestamps = getTimestamps(rc.Start, rc.End, rc.Step)
values := rc.Do(nil, testValues, testTimestamps)
valuesExpected := []float64{4.6035, 4.3934999999999995, 2.166, 0.34, nan}
timestampsExpected := []int64{0, 40, 80, 120, 160}
testRowsEqual(t, values, rc.Timestamps, valuesExpected, timestampsExpected)
})
t.Run("distinct", func(t *testing.T) {
rc := rollupConfig{
Func: rollupDistinct,
Start: 0,
End: 160,
Step: 40,
Window: 0,
}
rc.Timestamps = getTimestamps(rc.Start, rc.End, rc.Step)
values := rc.Do(nil, testValues, testTimestamps)
valuesExpected := []float64{4, 4, 3, 1, nan}
timestampsExpected := []int64{0, 40, 80, 120, 160}
testRowsEqual(t, values, rc.Timestamps, valuesExpected, timestampsExpected)
})
}
func testRowsEqual(t *testing.T, values []float64, timestamps []int64, valuesExpected []float64, timestampsExpected []int64) {
t.Helper()
if len(values) != len(valuesExpected) {
t.Fatalf("unexpected len(values); got %d; want %d\nvalues=\n%v\nvaluesExpected=\n%v",
len(values), len(valuesExpected), values, valuesExpected)
}
if len(timestamps) != len(timestampsExpected) {
t.Fatalf("unexpected len(timestamps); got %d; want %d\ntimestamps=\n%v\ntimestampsExpected=\n%v",
len(timestamps), len(timestampsExpected), timestamps, timestampsExpected)
}
if len(values) != len(timestamps) {
t.Fatalf("len(values) doesn't match len(timestamps); got %d vs %d", len(values), len(timestamps))
}
for i, v := range values {
ts := timestamps[i]
tsExpected := timestampsExpected[i]
if ts != tsExpected {
t.Fatalf("unexpected timestamp at timestamps[%d]; got %d; want %d\ntimestamps=\n%v\ntimestampsExpected=\n%v",
i, ts, tsExpected, timestamps, timestampsExpected)
}
vExpected := valuesExpected[i]
if math.IsNaN(v) {
if !math.IsNaN(vExpected) {
t.Fatalf("unexpected nan value at values[%d]; want %f\nvalues=\n%v\nvaluesExpected=\n%v",
i, vExpected, values, valuesExpected)
}
continue
}
if v != vExpected {
t.Fatalf("unexpected value at values[%d]; got %f; want %f\nvalues=\n%v\nvaluesExpected=\n%v",
i, v, vExpected, values, valuesExpected)
}
}
}

View File

@ -0,0 +1,43 @@
package promql
import (
"math/rand"
"sync"
"testing"
)
func BenchmarkRollupAvg(b *testing.B) {
rfa := &rollupFuncArg{
values: benchValues,
}
b.ReportAllocs()
b.SetBytes(int64(len(benchValues)))
b.RunParallel(func(pb *testing.PB) {
var vSum float64
for pb.Next() {
vSum += rollupAvg(rfa)
}
SinkLock.Lock()
Sink += vSum
SinkLock.Unlock()
})
}
var (
// Sink is a global sink for benchmarks.
// It guarantees the compiler doesn't remove the code in benchmarks,
// which writes data to the Sink.
Sink float64
// SinkLock locks Sink.
SinkLock sync.Mutex
)
var benchValues = func() []float64 {
values := make([]float64, 1000)
for i := range values {
values[i] = rand.Float64() * 100
}
return values
}()

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@ -0,0 +1,383 @@
package promql
import (
"fmt"
"sort"
"strconv"
"unsafe"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/bytesutil"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/encoding"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/logger"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/storage"
)
type timeseries struct {
MetricName storage.MetricName
Values []float64
Timestamps []int64
// Whether the timeseries may be re-used.
// Timeseries may be re-used only if their members own values
// they refer to.
denyReuse bool
}
func (ts *timeseries) Reset() {
if ts.denyReuse {
*ts = timeseries{}
return
}
ts.MetricName.Reset()
ts.Values = ts.Values[:0]
ts.Timestamps = ts.Timestamps[:0]
}
func (ts *timeseries) String() string {
return fmt.Sprintf("MetricName=%s, Values=%g, Timestamps=%d", &ts.MetricName, ts.Values, ts.Timestamps)
}
func (ts *timeseries) CopyFrom(src *timeseries) {
ts.Reset()
ts.MetricName.CopyFrom(&src.MetricName)
ts.Values = append(ts.Values[:0], src.Values...)
ts.Timestamps = append(ts.Timestamps[:0], src.Timestamps...)
}
func (ts *timeseries) CopyFromMetricNames(src *timeseries) {
ts.Reset()
ts.MetricName.CopyFrom(&src.MetricName)
ts.Values = src.Values
ts.Timestamps = src.Timestamps
ts.denyReuse = true
}
func (ts *timeseries) CopyShallow(src *timeseries) {
*ts = *src
ts.denyReuse = true
}
func marshalTimeseriesFast(tss []*timeseries, maxSize int, step int64) []byte {
if len(tss) == 0 {
logger.Panicf("BUG: tss cannot be empty")
}
// Calculate the required size for marshaled tss.
size := 0
for _, ts := range tss {
size += ts.marshaledFastSizeNoTimestamps()
}
// timestamps are stored only once for all the tss, since they are identical.
assertIdenticalTimestamps(tss, step)
size += 8 * len(tss[0].Timestamps)
if size > maxSize {
// Do not marshal tss, since it would occupy too much space
return nil
}
// Allocate the buffer for the marshaled tss before its' marshaling.
// This should reduce memory fragmentation and memory usage.
dst := make([]byte, 0, size)
dst = marshalFastTimestamps(dst, tss[0].Timestamps)
for _, ts := range tss {
dst = ts.marshalFastNoTimestamps(dst)
}
return dst
}
// unmarshalTimeseriesFast unmarshals timeseries from src.
//
// The returned timeseries refer to src, so it is unsafe to modify it
// until timeseries are in use.
func unmarshalTimeseriesFast(src []byte) ([]*timeseries, error) {
tail, timestamps, err := unmarshalFastTimestamps(src)
if err != nil {
return nil, err
}
src = tail
var tss []*timeseries
for len(src) > 0 {
var ts timeseries
ts.denyReuse = false
ts.Timestamps = timestamps
tail, err := ts.unmarshalFastNoTimestamps(src)
if err != nil {
return nil, err
}
src = tail
tss = append(tss, &ts)
}
return tss, nil
}
// marshaledFastSizeNoTimestamps returns the size of marshaled ts
// returned from marshalFastNoTimestamps.
func (ts *timeseries) marshaledFastSizeNoTimestamps() int {
mn := &ts.MetricName
n := 2 + len(mn.MetricGroup)
n += 2 // Length of tags.
for i := range mn.Tags {
tag := &mn.Tags[i]
n += 2 + len(tag.Key)
n += 2 + len(tag.Value)
}
n += 8 * len(ts.Values)
return n
}
// marshalFastNoTimestamps appends marshaled ts to dst and returns the result.
//
// It doesn't marshal timestamps.
//
// The result must be unmarshaled with unmarshalFastNoTimestamps.
func (ts *timeseries) marshalFastNoTimestamps(dst []byte) []byte {
mn := &ts.MetricName
dst = marshalBytesFast(dst, mn.MetricGroup)
dst = encoding.MarshalUint16(dst, uint16(len(mn.Tags)))
// There is no need in tags' sorting - they must be sorted after unmarshaling.
for i := range mn.Tags {
tag := &mn.Tags[i]
dst = marshalBytesFast(dst, tag.Key)
dst = marshalBytesFast(dst, tag.Value)
}
// Do not marshal len(ts.Values), since it is already encoded as len(ts.Timestamps)
// during marshalFastTimestamps.
var valuesBuf []byte
if len(ts.Values) > 0 {
valuesBuf = (*[maxByteSliceLen]byte)(unsafe.Pointer(&ts.Values[0]))[:len(ts.Values)*8]
}
dst = append(dst, valuesBuf...)
return dst
}
func marshalFastTimestamps(dst []byte, timestamps []int64) []byte {
dst = encoding.MarshalUint32(dst, uint32(len(timestamps)))
var timestampsBuf []byte
if len(timestamps) > 0 {
timestampsBuf = (*[maxByteSliceLen]byte)(unsafe.Pointer(&timestamps[0]))[:len(timestamps)*8]
}
dst = append(dst, timestampsBuf...)
return dst
}
// it is unsafe modifying src while the returned timestamps is in use.
func unmarshalFastTimestamps(src []byte) ([]byte, []int64, error) {
if len(src) < 4 {
return src, nil, fmt.Errorf("cannot decode len(timestamps); got %d bytes; want at least %d bytes", len(src), 4)
}
timestampsCount := int(encoding.UnmarshalUint32(src))
src = src[4:]
if timestampsCount == 0 {
return src, nil, nil
}
bufSize := timestampsCount * 8
if len(src) < bufSize {
return src, nil, fmt.Errorf("cannot unmarshal timestamps; got %d bytes; want at least %d bytes", len(src), bufSize)
}
timestamps := (*[maxByteSliceLen / 8]int64)(unsafe.Pointer(&src[0]))[:timestampsCount]
timestamps = timestamps[:len(timestamps):len(timestamps)]
src = src[bufSize:]
return src, timestamps, nil
}
// unmarshalFastNoTimestamps unmarshals ts from src, so ts members reference src.
//
// It is expected that ts.Timestamps is already unmarshaled.
//
// It is unsafe to modify src while ts is in use.
func (ts *timeseries) unmarshalFastNoTimestamps(src []byte) ([]byte, error) {
// ts members point to src, so they cannot be re-used.
ts.denyReuse = true
tail, err := unmarshalMetricNameFast(&ts.MetricName, src)
if err != nil {
return tail, fmt.Errorf("cannot unmarshal MetricName: %s", err)
}
src = tail
valuesCount := len(ts.Timestamps)
if valuesCount == 0 {
return src, nil
}
bufSize := valuesCount * 8
if len(src) < bufSize {
return src, fmt.Errorf("cannot unmarshal values; got %d bytes; want at least %d bytes", len(src), bufSize)
}
values := (*[maxByteSliceLen / 8]float64)(unsafe.Pointer(&src[0]))[:valuesCount]
ts.Values = values[:len(values):len(values)]
return src[bufSize:], nil
}
// unmarshalMetricNameFast unmarshals mn from src, so mn members
// hold references to src.
//
// It is unsafe modifying src while mn is in use.
func unmarshalMetricNameFast(mn *storage.MetricName, src []byte) ([]byte, error) {
mn.Reset()
tail, metricGroup, err := unmarshalBytesFast(src)
if err != nil {
return tail, fmt.Errorf("cannot unmarshal MetricGroup: %s", err)
}
src = tail
mn.MetricGroup = metricGroup[:len(metricGroup):len(metricGroup)]
if len(src) < 2 {
return src, fmt.Errorf("not enough bytes for unmarshaling len(tags); need at least 2 bytes; got %d bytes", len(src))
}
tagsLen := encoding.UnmarshalUint16(src)
src = src[2:]
if n := int(tagsLen) - cap(mn.Tags); n > 0 {
mn.Tags = append(mn.Tags[:cap(mn.Tags)], make([]storage.Tag, n)...)
}
mn.Tags = mn.Tags[:tagsLen]
for i := range mn.Tags {
tail, key, err := unmarshalBytesFast(src)
if err != nil {
return tail, fmt.Errorf("cannot unmarshal key for tag[%d]: %s", i, err)
}
src = tail
tail, value, err := unmarshalBytesFast(src)
if err != nil {
return tail, fmt.Errorf("cannot unmarshal value for tag[%d]: %s", i, err)
}
src = tail
tag := &mn.Tags[i]
tag.Key = key[:len(key):len(key)]
tag.Value = value[:len(value):len(value)]
}
return src, nil
}
func marshalMetricTagsFast(dst []byte, tags []storage.Tag) []byte {
for i := range tags {
tag := &tags[i]
dst = marshalBytesFast(dst, tag.Key)
dst = marshalBytesFast(dst, tag.Value)
}
return dst
}
func marshalMetricNameSorted(dst []byte, mn *storage.MetricName) []byte {
// Do not marshal AccountID and ProjectID, since they are unused.
dst = marshalBytesFast(dst, mn.MetricGroup)
sortMetricTags(mn.Tags)
dst = marshalMetricTagsFast(dst, mn.Tags)
return dst
}
func marshalMetricTagsSorted(dst []byte, mn *storage.MetricName) []byte {
sortMetricTags(mn.Tags)
return marshalMetricTagsFast(dst, mn.Tags)
}
func sortMetricTags(tags []storage.Tag) {
less := func(i, j int) bool {
return string(tags[i].Key) < string(tags[j].Key)
}
if sort.SliceIsSorted(tags, less) {
return
}
sort.Slice(tags, less)
}
func marshalBytesFast(dst []byte, s []byte) []byte {
dst = encoding.MarshalUint16(dst, uint16(len(s)))
dst = append(dst, s...)
return dst
}
func unmarshalBytesFast(src []byte) ([]byte, []byte, error) {
if len(src) < 2 {
return src, nil, fmt.Errorf("cannot decode size form src=%X; it must be at least 2 bytes", src)
}
n := encoding.UnmarshalUint16(src)
src = src[2:]
if len(src) < int(n) {
return src, nil, fmt.Errorf("too short src=%X; it must be at least %d bytes", src, n)
}
return src[n:], src[:n], nil
}
func stringMetricName(mn *storage.MetricName) string {
var dst []byte
dst = append(dst, mn.MetricGroup...)
sortMetricTags(mn.Tags)
dst = appendStringMetricTags(dst, mn.Tags)
return string(dst)
}
func stringMetricTags(mn *storage.MetricName) string {
var dst []byte
sortMetricTags(mn.Tags)
dst = appendStringMetricTags(dst, mn.Tags)
return string(dst)
}
func appendStringMetricTags(dst []byte, tags []storage.Tag) []byte {
dst = append(dst, '{')
for i := range tags {
tag := &tags[i]
dst = append(dst, tag.Key...)
dst = append(dst, '=')
value := bytesutil.ToUnsafeString(tag.Value)
dst = strconv.AppendQuote(dst, value)
if i+1 < len(tags) {
dst = append(dst, ", "...)
}
}
dst = append(dst, '}')
return dst
}
func assertIdenticalTimestamps(tss []*timeseries, step int64) {
if len(tss) == 0 {
return
}
tsGolden := tss[0]
if len(tsGolden.Values) != len(tsGolden.Timestamps) {
logger.Panicf("BUG: len(tsGolden.Values) must match len(tsGolden.Timestamps); got %d vs %d", len(tsGolden.Values), len(tsGolden.Timestamps))
}
if len(tsGolden.Timestamps) > 0 {
prevTimestamp := tsGolden.Timestamps[0]
for _, timestamp := range tsGolden.Timestamps[1:] {
if timestamp-prevTimestamp != step {
logger.Panicf("BUG: invalid step between timestamps; got %d; want %d; tsGolden.Timestamps=%d", timestamp-prevTimestamp, step, tsGolden.Timestamps)
}
prevTimestamp = timestamp
}
}
for _, ts := range tss {
if len(ts.Values) != len(tsGolden.Values) {
logger.Panicf("BUG: unexpected len(ts.Values); got %d; want %d; ts.Values=%g", len(ts.Values), len(tsGolden.Values), ts.Values)
}
if len(ts.Timestamps) != len(tsGolden.Timestamps) {
logger.Panicf("BUG: unexpected len(ts.Timestamps); got %d; want %d; ts.Timestamps=%d", len(ts.Timestamps), len(tsGolden.Timestamps), ts.Timestamps)
}
if len(ts.Timestamps) == 0 {
continue
}
if &ts.Timestamps[0] == &tsGolden.Timestamps[0] {
// Fast path - shared timestamps.
continue
}
for i := range ts.Timestamps {
if ts.Timestamps[i] != tsGolden.Timestamps[i] {
logger.Panicf("BUG: timestamps mismatch at position %d; got %d; want %d; ts.Timestamps=%d, tsGolden.Timestamps=%d",
i, ts.Timestamps[i], tsGolden.Timestamps[i], ts.Timestamps, tsGolden.Timestamps)
}
}
}
}

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@ -0,0 +1,104 @@
package promql
import (
"fmt"
"os"
"reflect"
"testing"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/storage"
)
func TestMain(m *testing.M) {
n := m.Run()
os.Exit(n)
}
func TestTimeseriesMarshalUnmarshalFast(t *testing.T) {
t.Run("single", func(t *testing.T) {
var tsOrig timeseries
buf := tsOrig.marshalFastNoTimestamps(nil)
n := tsOrig.marshaledFastSizeNoTimestamps()
if n != len(buf) {
t.Fatalf("unexpected marshaled size; got %d; want %d", n, len(buf))
}
var tsGot timeseries
tail, err := tsGot.unmarshalFastNoTimestamps(buf)
if err != nil {
t.Fatalf("cannot unmarshal timeseries: %s", err)
}
if len(tail) > 0 {
t.Fatalf("unexpected non-empty tail left: len(tail)=%d; tail=%X", len(tail), tail)
}
tsOrig.denyReuse = true
tsOrig.MetricName.MetricGroup = []byte{}
if !reflect.DeepEqual(&tsOrig, &tsGot) {
t.Fatalf("unexpected ts\ngot:\n%s\nwant:\n%s", &tsGot, &tsOrig)
}
})
t.Run("multiple", func(t *testing.T) {
var dst []byte
var tssOrig []*timeseries
timestamps := []int64{2}
for i := 0; i < 10; i++ {
var ts timeseries
ts.denyReuse = true
ts.MetricName.MetricGroup = []byte(fmt.Sprintf("metricGroup %d", i))
ts.MetricName.Tags = []storage.Tag{{
Key: []byte(fmt.Sprintf("key %d", i)),
Value: []byte(fmt.Sprintf("value %d", i)),
}}
ts.Values = []float64{float64(i) + 0.2}
ts.Timestamps = timestamps
dstLen := len(dst)
dst = ts.marshalFastNoTimestamps(dst)
n := ts.marshaledFastSizeNoTimestamps()
if n != len(dst)-dstLen {
t.Fatalf("unexpected marshaled size on iteration %d; got %d; want %d", i, n, len(dst)-dstLen)
}
var tsGot timeseries
tsGot.Timestamps = ts.Timestamps
tail, err := tsGot.unmarshalFastNoTimestamps(dst[dstLen:])
if err != nil {
t.Fatalf("cannot unmarshal timeseries on iteration %d: %s", i, err)
}
if len(tail) > 0 {
t.Fatalf("unexpected non-empty tail left on iteration %d: len(tail)=%d; tail=%x", i, len(tail), tail)
}
if !reflect.DeepEqual(&ts, &tsGot) {
t.Fatalf("unexpected ts on iteration %d\ngot:\n%s\nwant:\n%s", i, &tsGot, &ts)
}
tssOrig = append(tssOrig, &ts)
}
buf := marshalTimeseriesFast(tssOrig, 1e6, 123)
tssGot, err := unmarshalTimeseriesFast(buf)
if err != nil {
t.Fatalf("error in unmarshalTimeseriesFast: %s", err)
}
if !reflect.DeepEqual(tssOrig, tssGot) {
t.Fatalf("unexpected unmarshaled timeseries\ngot:\n%s\nwant:\n%s", tssGot, tssOrig)
}
src := dst
for i := 0; i < 10; i++ {
tsOrig := tssOrig[i]
var ts timeseries
ts.Timestamps = tsOrig.Timestamps
tail, err := ts.unmarshalFastNoTimestamps(src)
if err != nil {
t.Fatalf("cannot unmarshal timeseries[%d]: %s", i, err)
}
src = tail
if !reflect.DeepEqual(tsOrig, &ts) {
t.Fatalf("unexpected ts on iteration %d:\n%+v\nwant:\n%+v", i, &ts, tsOrig)
}
}
if len(src) > 0 {
t.Fatalf("unexpected tail left; len(tail)=%d; tail=%X", len(src), src)
}
})
}

File diff suppressed because it is too large Load Diff

5
app/vmstorage/README.md Normal file
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@ -0,0 +1,5 @@
`vmstorage` performs the following tasks:
- Accepts inserts from `vminsert` and stores them to local storage.
- Performs select requests from `vmselect`.

455
app/vmstorage/main.go Normal file
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@ -0,0 +1,455 @@
package vmstorage
import (
"flag"
"fmt"
"net/http"
"strings"
"sync"
"time"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/encoding"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/httpserver"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/logger"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/storage"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/syncwg"
"github.com/VictoriaMetrics/metrics"
)
var (
retentionPeriod = flag.Int("retentionPeriod", 1, "Retention period in months")
snapshotAuthKey = flag.String("snapshotAuthKey", "", "authKey, which must be passed in query string to /snapshot* pages")
precisionBits = flag.Int("precisionBits", 64, "The number of precision bits to store per each value. Lower precision bits improves data compression at the cost of precision loss")
// DataPath is a path to storage data.
DataPath = flag.String("storageDataPath", "victoria-metrics-data", "Path to storage data")
)
// Init initializes vmstorage.
func Init() {
if err := encoding.CheckPrecisionBits(uint8(*precisionBits)); err != nil {
logger.Fatalf("invalid `-precisionBits`: %s", err)
}
logger.Infof("opening storage at %q with retention period %d months", *DataPath, *retentionPeriod)
startTime := time.Now()
strg, err := storage.OpenStorage(*DataPath, *retentionPeriod)
if err != nil {
logger.Fatalf("cannot open a storage at %s with retention period %d months: %s", *DataPath, *retentionPeriod, err)
}
Storage = strg
var m storage.Metrics
Storage.UpdateMetrics(&m)
tm := &m.TableMetrics
partsCount := tm.SmallPartsCount + tm.BigPartsCount
blocksCount := tm.SmallBlocksCount + tm.BigBlocksCount
rowsCount := tm.SmallRowsCount + tm.BigRowsCount
logger.Infof("successfully opened storage %q in %s; partsCount: %d; blocksCount: %d; rowsCount: %d",
*DataPath, time.Since(startTime), partsCount, blocksCount, rowsCount)
registerStorageMetrics(Storage)
}
// Storage is a storage.
//
// Every storage call must be wrapped into WG.Add(1) ... WG.Done()
// for proper graceful shutdown when Stop is called.
var Storage *storage.Storage
// WG must be incremented before Storage call.
//
// Use syncwg instead of sync, since Add is called from concurrent goroutines.
var WG syncwg.WaitGroup
// AddRows adds mrs to the storage.
func AddRows(mrs []storage.MetricRow) error {
WG.Add(1)
err := Storage.AddRows(mrs, uint8(*precisionBits))
WG.Done()
return err
}
// DeleteMetrics deletes metrics matching tfss.
//
// Returns the number of deleted metrics.
func DeleteMetrics(tfss []*storage.TagFilters) (int, error) {
WG.Add(1)
n, err := Storage.DeleteMetrics(tfss)
WG.Done()
return n, err
}
// SearchTagKeys searches for tag keys
func SearchTagKeys(maxTagKeys int) ([]string, error) {
WG.Add(1)
keys, err := Storage.SearchTagKeys(maxTagKeys)
WG.Done()
return keys, err
}
// SearchTagValues searches for tag values for the given tagKey
func SearchTagValues(tagKey []byte, maxTagValues int) ([]string, error) {
WG.Add(1)
values, err := Storage.SearchTagValues(tagKey, maxTagValues)
WG.Done()
return values, err
}
// GetSeriesCount returns the number of time series in the storage.
func GetSeriesCount() (uint64, error) {
WG.Add(1)
n, err := Storage.GetSeriesCount()
WG.Done()
return n, err
}
// Stop stops the vmstorage
func Stop() {
logger.Infof("gracefully closing the storage at %s", *DataPath)
startTime := time.Now()
WG.WaitAndBlock()
Storage.MustClose()
logger.Infof("successfully closed the storage in %s", time.Since(startTime))
logger.Infof("the storage has been stopped")
}
// RequestHandler is a storage request handler.
func RequestHandler(w http.ResponseWriter, r *http.Request) bool {
path := r.URL.Path
prometheusCompatibleResponse := false
if path == "/api/v1/admin/tsdb/snapshot" {
// Handle Prometheus API - https://prometheus.io/docs/prometheus/latest/querying/api/#snapshot .
prometheusCompatibleResponse = true
path = "/snapshot/create"
}
if !strings.HasPrefix(path, "/snapshot") {
return false
}
authKey := r.FormValue("authKey")
if authKey != *snapshotAuthKey {
httpserver.Errorf(w, "invalid authKey %q. It must match the value from -snapshotAuthKey command line flag", authKey)
return true
}
path = path[len("/snapshot"):]
switch path {
case "/create":
w.Header().Set("Content-Type", "application/json")
snapshotPath, err := Storage.CreateSnapshot()
if err != nil {
msg := fmt.Sprintf("cannot create snapshot: %s", err)
logger.Errorf("%s", msg)
fmt.Fprintf(w, `{"status":"error","msg":%q}`, msg)
return true
}
if prometheusCompatibleResponse {
fmt.Fprintf(w, `{"status":"success","data":{"name":%q}}`, snapshotPath)
} else {
fmt.Fprintf(w, `{"status":"ok","snapshot":%q}`, snapshotPath)
}
return true
case "/list":
w.Header().Set("Content-Type", "application/json")
snapshots, err := Storage.ListSnapshots()
if err != nil {
msg := fmt.Sprintf("cannot list snapshots: %s", err)
logger.Errorf("%s", msg)
fmt.Fprintf(w, `{"status":"error","msg":%q}`, msg)
return true
}
fmt.Fprintf(w, `{"status":"ok","snapshots":[`)
if len(snapshots) > 0 {
for _, snapshot := range snapshots[:len(snapshots)-1] {
fmt.Fprintf(w, "\n%q,", snapshot)
}
fmt.Fprintf(w, "\n%q\n", snapshots[len(snapshots)-1])
}
fmt.Fprintf(w, `]}`)
return true
case "/delete":
w.Header().Set("Content-Type", "application/json")
snapshotName := r.FormValue("snapshot")
if err := Storage.DeleteSnapshot(snapshotName); err != nil {
msg := fmt.Sprintf("cannot delete snapshot %q: %s", snapshotName, err)
logger.Errorf("%s", msg)
fmt.Fprintf(w, `{"status":"error","msg":%q}`, msg)
return true
}
fmt.Fprintf(w, `{"status":"ok"}`)
return true
case "/delete_all":
w.Header().Set("Content-Type", "application/json")
snapshots, err := Storage.ListSnapshots()
if err != nil {
msg := fmt.Sprintf("cannot list snapshots: %s", err)
logger.Errorf("%s", msg)
fmt.Fprintf(w, `{"status":"error","msg":%q}`, msg)
return true
}
for _, snapshotName := range snapshots {
if err := Storage.DeleteSnapshot(snapshotName); err != nil {
msg := fmt.Sprintf("cannot delete snapshot %q: %s", snapshotName, err)
logger.Errorf("%s", msg)
fmt.Fprintf(w, `{"status":"error","msg":%q}`, msg)
return true
}
}
fmt.Fprintf(w, `{"status":"ok"}`)
return true
default:
return false
}
}
func registerStorageMetrics(strg *storage.Storage) {
mCache := &storage.Metrics{}
var mCacheLock sync.Mutex
var lastUpdateTime time.Time
m := func() *storage.Metrics {
mCacheLock.Lock()
defer mCacheLock.Unlock()
if time.Since(lastUpdateTime) < time.Second {
return mCache
}
var mc storage.Metrics
strg.UpdateMetrics(&mc)
mCache = &mc
lastUpdateTime = time.Now()
return mCache
}
tm := func() *storage.TableMetrics {
sm := m()
return &sm.TableMetrics
}
idbm := func() *storage.IndexDBMetrics {
sm := m()
return &sm.IndexDBMetrics
}
metrics.NewGauge(`vm_active_merges{type="storage/big"}`, func() float64 {
return float64(tm().ActiveBigMerges)
})
metrics.NewGauge(`vm_active_merges{type="storage/small"}`, func() float64 {
return float64(tm().ActiveSmallMerges)
})
metrics.NewGauge(`vm_active_merges{type="indexdb"}`, func() float64 {
return float64(idbm().ActiveMerges)
})
metrics.NewGauge(`vm_merges_total{type="storage/big"}`, func() float64 {
return float64(tm().BigMergesCount)
})
metrics.NewGauge(`vm_merges_total{type="storage/small"}`, func() float64 {
return float64(tm().SmallMergesCount)
})
metrics.NewGauge(`vm_merges_total{type="indexdb"}`, func() float64 {
return float64(idbm().MergesCount)
})
metrics.NewGauge(`vm_rows_merged_total{type="storage/big"}`, func() float64 {
return float64(tm().BigRowsMerged)
})
metrics.NewGauge(`vm_rows_merged_total{type="storage/small"}`, func() float64 {
return float64(tm().SmallRowsMerged)
})
metrics.NewGauge(`vm_rows_merged_total{type="indexdb"}`, func() float64 {
return float64(idbm().ItemsMerged)
})
metrics.NewGauge(`vm_rows_deleted_total{type="storage/big"}`, func() float64 {
return float64(tm().BigRowsDeleted)
})
metrics.NewGauge(`vm_rows_deleted_total{type="storage/small"}`, func() float64 {
return float64(tm().SmallRowsDeleted)
})
metrics.NewGauge(`vm_references{type="storage/big", name="parts"}`, func() float64 {
return float64(tm().BigPartsRefCount)
})
metrics.NewGauge(`vm_references{type="storage/small", name="parts"}`, func() float64 {
return float64(tm().SmallPartsRefCount)
})
metrics.NewGauge(`vm_references{type="storage", name="partitions"}`, func() float64 {
return float64(tm().PartitionsRefCount)
})
metrics.NewGauge(`vm_references{type="indexdb", name="objects"}`, func() float64 {
return float64(idbm().IndexDBRefCount)
})
metrics.NewGauge(`vm_references{type="indexdb", name="parts"}`, func() float64 {
return float64(idbm().PartsRefCount)
})
metrics.NewGauge(`vm_missing_tsids_for_metric_id_total`, func() float64 {
return float64(idbm().MissingTSIDsForMetricID)
})
metrics.NewGauge(`vm_assisted_merges_total{type="storage/small"}`, func() float64 {
return float64(tm().SmallAssistedMerges)
})
metrics.NewGauge(`vm_assisted_merges_total{type="indexdb"}`, func() float64 {
return float64(idbm().AssistedMerges)
})
metrics.NewGauge(`vm_pending_rows{type="storage"}`, func() float64 {
return float64(tm().PendingRows)
})
metrics.NewGauge(`vm_pending_rows{type="indexdb"}`, func() float64 {
return float64(idbm().PendingItems)
})
metrics.NewGauge(`vm_parts{type="storage/big"}`, func() float64 {
return float64(tm().BigPartsCount)
})
metrics.NewGauge(`vm_parts{type="storage/small"}`, func() float64 {
return float64(tm().SmallPartsCount)
})
metrics.NewGauge(`vm_parts{type="indexdb"}`, func() float64 {
return float64(idbm().PartsCount)
})
metrics.NewGauge(`vm_blocks{type="storage/big"}`, func() float64 {
return float64(tm().BigBlocksCount)
})
metrics.NewGauge(`vm_blocks{type="storage/small"}`, func() float64 {
return float64(tm().SmallBlocksCount)
})
metrics.NewGauge(`vm_blocks{type="indexdb"}`, func() float64 {
return float64(idbm().BlocksCount)
})
metrics.NewGauge(`vm_rows{type="storage/big"}`, func() float64 {
return float64(tm().BigRowsCount)
})
metrics.NewGauge(`vm_rows{type="storage/small"}`, func() float64 {
return float64(tm().SmallRowsCount)
})
metrics.NewGauge(`vm_rows{type="indexdb"}`, func() float64 {
return float64(idbm().ItemsCount)
})
metrics.NewGauge(`vm_cache_entries{type="storage/tsid"}`, func() float64 {
return float64(m().TSIDCacheSize)
})
metrics.NewGauge(`vm_cache_entries{type="storage/metricIDs"}`, func() float64 {
return float64(m().MetricIDCacheSize)
})
metrics.NewGauge(`vm_cache_entries{type="storage/metricName"}`, func() float64 {
return float64(m().MetricNameCacheSize)
})
metrics.NewGauge(`vm_cache_entries{type="storage/date_metricID"}`, func() float64 {
return float64(m().DateMetricIDCacheSize)
})
metrics.NewGauge(`vm_cache_entries{type="storage/bigIndexBlocks"}`, func() float64 {
return float64(tm().BigIndexBlocksCacheSize)
})
metrics.NewGauge(`vm_cache_entries{type="storage/smallIndexBlocks"}`, func() float64 {
return float64(tm().SmallIndexBlocksCacheSize)
})
metrics.NewGauge(`vm_cache_entries{type="indexdb/dataBlocks"}`, func() float64 {
return float64(idbm().DataBlocksCacheSize)
})
metrics.NewGauge(`vm_cache_entries{type="indexdb/indexBlocks"}`, func() float64 {
return float64(idbm().IndexBlocksCacheSize)
})
metrics.NewGauge(`vm_cache_entries{type="indexdb/tagFilters"}`, func() float64 {
return float64(idbm().TagCacheSize)
})
metrics.NewGauge(`vm_cache_entries{type="storage/regexps"}`, func() float64 {
return float64(storage.RegexpCacheSize())
})
metrics.NewGauge(`vm_cache_size_bytes{type="storage/tsid"}`, func() float64 {
return float64(m().TSIDCacheBytesSize)
})
metrics.NewGauge(`vm_cache_size_bytes{type="storage/metricIDs"}`, func() float64 {
return float64(m().MetricIDCacheBytesSize)
})
metrics.NewGauge(`vm_cache_size_bytes{type="storage/metricName"}`, func() float64 {
return float64(m().MetricNameCacheBytesSize)
})
metrics.NewGauge(`vm_cache_size_bytes{type="storage/date_metricID"}`, func() float64 {
return float64(m().DateMetricIDCacheBytesSize)
})
metrics.NewGauge(`vm_cache_size_bytes{type="indexdb/tagFilters"}`, func() float64 {
return float64(idbm().TagCacheBytesSize)
})
metrics.NewGauge(`vm_cache_requests_total{type="storage/tsid"}`, func() float64 {
return float64(m().TSIDCacheRequests)
})
metrics.NewGauge(`vm_cache_requests_total{type="storage/metricIDs"}`, func() float64 {
return float64(m().MetricIDCacheRequests)
})
metrics.NewGauge(`vm_cache_requests_total{type="storage/metricName"}`, func() float64 {
return float64(m().MetricNameCacheRequests)
})
metrics.NewGauge(`vm_cache_requests_total{type="storage/date_metricID"}`, func() float64 {
return float64(m().DateMetricIDCacheRequests)
})
metrics.NewGauge(`vm_cache_requests_total{type="storage/bigIndexBlocks"}`, func() float64 {
return float64(tm().BigIndexBlocksCacheRequests)
})
metrics.NewGauge(`vm_cache_requests_total{type="storage/smallIndexBlocks"}`, func() float64 {
return float64(tm().SmallIndexBlocksCacheRequests)
})
metrics.NewGauge(`vm_cache_requests_total{type="indexdb/dataBlocks"}`, func() float64 {
return float64(idbm().DataBlocksCacheRequests)
})
metrics.NewGauge(`vm_cache_requests_total{type="indexdb/indexBlocks"}`, func() float64 {
return float64(idbm().IndexBlocksCacheRequests)
})
metrics.NewGauge(`vm_cache_requests_total{type="indexdb/tagFilters"}`, func() float64 {
return float64(idbm().TagCacheRequests)
})
metrics.NewGauge(`vm_cache_requests_total{type="storage/regexps"}`, func() float64 {
return float64(storage.RegexpCacheRequests())
})
metrics.NewGauge(`vm_cache_misses_total{type="storage/tsid"}`, func() float64 {
return float64(m().TSIDCacheMisses)
})
metrics.NewGauge(`vm_cache_misses_total{type="storage/metricIDs"}`, func() float64 {
return float64(m().MetricIDCacheMisses)
})
metrics.NewGauge(`vm_cache_misses_total{type="storage/metricName"}`, func() float64 {
return float64(m().MetricNameCacheMisses)
})
metrics.NewGauge(`vm_cache_misses_total{type="storage/date_metricID"}`, func() float64 {
return float64(m().DateMetricIDCacheMisses)
})
metrics.NewGauge(`vm_cache_misses_total{type="storage/bigIndexBlocks"}`, func() float64 {
return float64(tm().BigIndexBlocksCacheMisses)
})
metrics.NewGauge(`vm_cache_misses_total{type="storage/smallIndexBlocks"}`, func() float64 {
return float64(tm().SmallIndexBlocksCacheMisses)
})
metrics.NewGauge(`vm_cache_misses_total{type="indexdb/dataBlocks"}`, func() float64 {
return float64(idbm().DataBlocksCacheMisses)
})
metrics.NewGauge(`vm_cache_misses_total{type="indexdb/indexBlocks"}`, func() float64 {
return float64(idbm().IndexBlocksCacheMisses)
})
metrics.NewGauge(`vm_cache_misses_total{type="indexdb/tagFilters"}`, func() float64 {
return float64(idbm().TagCacheMisses)
})
metrics.NewGauge(`vm_cache_misses_total{type="storage/regexps"}`, func() float64 {
return float64(storage.RegexpCacheMisses())
})
metrics.NewGauge(`vm_deleted_metrics_total{type="indexdb"}`, func() float64 {
return float64(idbm().DeletedMetricsCount)
})
metrics.NewGauge(`vm_cache_collisions_total{type="storage/tsid"}`, func() float64 {
return float64(m().TSIDCacheCollisions)
})
metrics.NewGauge(`vm_cache_collisions_total{type="storage/metricName"}`, func() float64 {
return float64(m().MetricNameCacheCollisions)
})
metrics.NewGauge(`vm_cache_collisions_total{type="storage/date_metricID"}`, func() float64 {
return float64(m().DateMetricIDCacheCollisions)
})
}

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@ -0,0 +1,42 @@
DOCKER_NAMESPACE := valyala
BUILDER_IMAGE := local/builder:go1.12.5
CERTS_IMAGE := local/certs:1.0.2
package-certs:
(docker image ls --format '{{.Repository}}:{{.Tag}}' | grep -q '$(CERTS_IMAGE)') \
|| docker build -t $(CERTS_IMAGE) deployment/docker/certs
package-builder:
(docker image ls --format '{{.Repository}}:{{.Tag}}' | grep -q '$(BUILDER_IMAGE)') \
|| docker build -t $(BUILDER_IMAGE) deployment/docker/builder
app-via-docker: package-certs package-builder
mkdir -p gocache-for-docker
docker run --rm \
--user $(shell id -u):$(shell id -g) \
--mount type=bind,src="$(shell pwd)",dst=/VictoriaMetrics \
-w /VictoriaMetrics \
--mount type=bind,src="$(shell pwd)/gocache-for-docker",dst=/gocache \
--env GOCACHE=/gocache \
$(BUILDER_IMAGE) \
go build $(RACE) -mod=vendor -ldflags "-s -w -extldflags '-static' $(GO_BUILDINFO)" -tags 'netgo osusergo' -o bin/$(APP_NAME)-prod $(PKG_PREFIX)/app/$(APP_NAME)
package-via-docker:
(docker image ls --format '{{.Repository}}:{{.Tag}}' | grep -q '$(DOCKER_NAMESPACE)/$(APP_NAME):$(PKG_TAG)$(RACE)') || (\
$(MAKE) app-via-docker && \
docker build -t $(DOCKER_NAMESPACE)/$(APP_NAME):$(PKG_TAG)$(RACE) -f app/$(APP_NAME)/deployment/Dockerfile .)
publish-via-docker: package-via-docker
docker push $(DOCKER_NAMESPACE)/$(APP_NAME):$(PKG_TAG)$(RACE)
docker tag $(DOCKER_NAMESPACE)/$(APP_NAME):$(PKG_TAG)$(RACE) $(DOCKER_NAMESPACE)/$(APP_NAME):latest
docker push $(DOCKER_NAMESPACE)/$(APP_NAME):latest
run-via-docker: package-via-docker
docker run -it --rm \
--user $(shell id -u):$(shell id -g) \
--net host \
$(DOCKER_OPTS) \
$(DOCKER_NAMESPACE)/$(APP_NAME):$(PKG_TAG)$(RACE) $(ARGS)
remove-docker-images:
docker image ls --format '{{.Repository}}\t{{.ID}}' | grep $(DOCKER_NAMESPACE)/ | grep -v /builder | awk '{print $$2}' | xargs docker image rm -f

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@ -0,0 +1 @@
FROM golang:1.12.5

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@ -0,0 +1,3 @@
# See https://medium.com/on-docker/use-multi-stage-builds-to-inject-ca-certs-ad1e8f01de1b
FROM alpine:3.9 as certs
RUN apk --update add ca-certificates

2
errcheck_excludes.txt Normal file
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@ -0,0 +1,2 @@
fmt.Fprintf
(net/http.ResponseWriter).Write

16
go.mod Normal file
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@ -0,0 +1,16 @@
module github.com/VictoriaMetrics/VictoriaMetrics
require (
github.com/VictoriaMetrics/fastcache v1.5.0
github.com/VictoriaMetrics/metrics v1.4.0
github.com/cespare/xxhash/v2 v2.0.1-0.20190104013014-3767db7a7e18
github.com/golang/snappy v0.0.1
github.com/spaolacci/murmur3 v1.1.0 // indirect
github.com/valyala/fastjson v1.4.1
github.com/valyala/gozstd v1.5.0
github.com/valyala/histogram v1.0.1
github.com/valyala/quicktemplate v1.1.1
golang.org/x/sys v0.0.0-20190502175342-a43fa875dd82
)
go 1.12

48
go.sum Normal file
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@ -0,0 +1,48 @@
github.com/OneOfOne/xxhash v1.2.2/go.mod h1:HSdplMjZKSmBqAxg5vPj2TmRDmfkzw+cTzAElWljhcU=
github.com/OneOfOne/xxhash v1.2.5 h1:zl/OfRA6nftbBK9qTohYBJ5xvw6C/oNKizR7cZGl3cI=
github.com/OneOfOne/xxhash v1.2.5/go.mod h1:eZbhyaAYD41SGSSsnmcpxVoRiQ/MPUTjUdIIOT9Um7Q=
github.com/VictoriaMetrics/fastcache v1.5.0 h1:z8t2QV/CDXWVJ9vy9yRtGGDoOvk9W2aXQBijbLk0KCc=
github.com/VictoriaMetrics/fastcache v1.5.0/go.mod h1:+jv9Ckb+za/P1ZRg/sulP5Ni1v49daAVERr0H3CuscE=
github.com/VictoriaMetrics/metrics v1.4.0 h1:3+XdciC4E8sywx+0PStXhtIdWxXP2bdJ06Whw0mViQE=
github.com/VictoriaMetrics/metrics v1.4.0/go.mod h1:QZAL5yLaXvhSPeib0ahluGo9VK0HXDZHovKaKlpuWvs=
github.com/allegro/bigcache v1.2.1-0.20190218064605-e24eb225f156 h1:eMwmnE/GDgah4HI848JfFxHt+iPb26b4zyfspmqY0/8=
github.com/allegro/bigcache v1.2.1-0.20190218064605-e24eb225f156/go.mod h1:Cb/ax3seSYIx7SuZdm2G2xzfwmv3TPSk2ucNfQESPXM=
github.com/cespare/xxhash v1.1.0 h1:a6HrQnmkObjyL+Gs60czilIUGqrzKutQD6XZog3p+ko=
github.com/cespare/xxhash v1.1.0/go.mod h1:XrSqR1VqqWfGrhpAt58auRo0WTKS1nRRg3ghfAqPWnc=
github.com/cespare/xxhash/v2 v2.0.1-0.20190104013014-3767db7a7e18 h1:pl4eWIqvFe/Kg3zkn7NxevNzILnZYWDCG7qbA1CJik0=
github.com/cespare/xxhash/v2 v2.0.1-0.20190104013014-3767db7a7e18/go.mod h1:HD5P3vAIAh+Y2GAxg0PrPN1P8WkepXGpjbUPDHJqqKM=
github.com/davecgh/go-spew v1.1.0/go.mod h1:J7Y8YcW2NihsgmVo/mv3lAwl/skON4iLHjSsI+c5H38=
github.com/davecgh/go-spew v1.1.1 h1:vj9j/u1bqnvCEfJOwUhtlOARqs3+rkHYY13jYWTU97c=
github.com/davecgh/go-spew v1.1.1/go.mod h1:J7Y8YcW2NihsgmVo/mv3lAwl/skON4iLHjSsI+c5H38=
github.com/golang/snappy v0.0.1 h1:Qgr9rKW7uDUkrbSmQeiDsGa8SjGyCOGtuasMWwvp2P4=
github.com/golang/snappy v0.0.1/go.mod h1:/XxbfmMg8lxefKM7IXC3fBNl/7bRcc72aCRzEWrmP2Q=
github.com/klauspost/compress v1.4.0/go.mod h1:RyIbtBH6LamlWaDj8nUwkbUhJ87Yi3uG0guNDohfE1A=
github.com/klauspost/compress v1.4.1/go.mod h1:RyIbtBH6LamlWaDj8nUwkbUhJ87Yi3uG0guNDohfE1A=
github.com/klauspost/cpuid v0.0.0-20180405133222-e7e905edc00e/go.mod h1:Pj4uuM528wm8OyEC2QMXAi2YiTZ96dNQPGgoMS4s3ek=
github.com/klauspost/cpuid v1.2.0/go.mod h1:Pj4uuM528wm8OyEC2QMXAi2YiTZ96dNQPGgoMS4s3ek=
github.com/pmezard/go-difflib v1.0.0 h1:4DBwDE0NGyQoBHbLQYPwSUPoCMWR5BEzIk/f1lZbAQM=
github.com/pmezard/go-difflib v1.0.0/go.mod h1:iKH77koFhYxTK1pcRnkKkqfTogsbg7gZNVY4sRDYZ/4=
github.com/spaolacci/murmur3 v0.0.0-20180118202830-f09979ecbc72/go.mod h1:JwIasOWyU6f++ZhiEuf87xNszmSA2myDM2Kzu9HwQUA=
github.com/spaolacci/murmur3 v1.0.1-0.20190317074736-539464a789e9/go.mod h1:JwIasOWyU6f++ZhiEuf87xNszmSA2myDM2Kzu9HwQUA=
github.com/spaolacci/murmur3 v1.1.0 h1:7c1g84S4BPRrfL5Xrdp6fOJ206sU9y293DDHaoy0bLI=
github.com/spaolacci/murmur3 v1.1.0/go.mod h1:JwIasOWyU6f++ZhiEuf87xNszmSA2myDM2Kzu9HwQUA=
github.com/stretchr/objx v0.1.0/go.mod h1:HFkY916IF+rwdDfMAkV7OtwuqBVzrE8GR6GFx+wExME=
github.com/stretchr/testify v1.3.0 h1:TivCn/peBQ7UY8ooIcPgZFpTNSz0Q2U6UrFlUfqbe0Q=
github.com/stretchr/testify v1.3.0/go.mod h1:M5WIy9Dh21IEIfnGCwXGc5bZfKNJtfHm1UVUgZn+9EI=
github.com/valyala/bytebufferpool v1.0.0 h1:GqA5TC/0021Y/b9FG4Oi9Mr3q7XYx6KllzawFIhcdPw=
github.com/valyala/bytebufferpool v1.0.0/go.mod h1:6bBcMArwyJ5K/AmCkWv1jt77kVWyCJ6HpOuEn7z0Csc=
github.com/valyala/fasthttp v1.2.0/go.mod h1:4vX61m6KN+xDduDNwXrhIAVZaZaZiQ1luJk8LWSxF3s=
github.com/valyala/fastjson v1.4.1 h1:hrltpHpIpkaxll8QltMU8c3QZ5+qIiCL8yKqPFJI/yE=
github.com/valyala/fastjson v1.4.1/go.mod h1:nV6MsjxL2IMJQUoHDIrjEI7oLyeqK6aBD7EFWPsvP8o=
github.com/valyala/fastrand v1.0.0 h1:LUKT9aKer2dVQNUi3waewTbKV+7H17kvWFNKs2ObdkI=
github.com/valyala/fastrand v1.0.0/go.mod h1:HWqCzkrkg6QXT8V2EXWvXCoow7vLwOFN002oeRzjapQ=
github.com/valyala/gozstd v1.5.0 h1:OI7Z2e+GkvmmdRFiJeyuByhT/WMTLuRLa43Z2Tjzenw=
github.com/valyala/gozstd v1.5.0/go.mod h1:oYOS+oJovjw9ewtrwEYb9+ybolEXd6pHyLMuAWN5zts=
github.com/valyala/histogram v1.0.1 h1:FzA7n2Tz/wKRMejgu3PV1vw3htAklTjjuoI6z3d4KDg=
github.com/valyala/histogram v1.0.1/go.mod h1:lQy0xA4wUz2+IUnf97SivorsJIp8FxsnRd6x25q7Mto=
github.com/valyala/quicktemplate v1.1.1 h1:C58y/wN0FMTi2PR0n3onltemfFabany53j7M6SDDB8k=
github.com/valyala/quicktemplate v1.1.1/go.mod h1:EH+4AkTd43SvgIbQHYu59/cJyxDoOVRUAfrukLPuGJ4=
github.com/valyala/tcplisten v0.0.0-20161114210144-ceec8f93295a/go.mod h1:v3UYOV9WzVtRmSR+PDvWpU/qWl4Wa5LApYYX4ZtKbio=
golang.org/x/net v0.0.0-20180911220305-26e67e76b6c3/go.mod h1:mL1N/T3taQHkDXs73rZJwtUhF3w3ftmwwsq0BUmARs4=
golang.org/x/sys v0.0.0-20190502175342-a43fa875dd82 h1:vsphBvatvfbhlb4PO1BYSr9dzugGxJ/SQHoNufZJq1w=
golang.org/x/sys v0.0.0-20190502175342-a43fa875dd82/go.mod h1:h1NjWce9XRLGQEsW7wpKNCjG9DtNlClVuFLEZdDNbEs=

32
lib/buildinfo/version.go Normal file
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@ -0,0 +1,32 @@
package buildinfo
import (
"flag"
"fmt"
"os"
)
var version = flag.Bool("version", false, "Show VictoriaMetrics version")
// Version must be set via -ldflags '-X'
var Version string
// Init must be called after flag.Parse call.
func Init() {
if *version {
printVersion()
os.Exit(0)
}
}
func init() {
oldUsage := flag.Usage
flag.Usage = func() {
printVersion()
oldUsage()
}
}
func printVersion() {
fmt.Fprintf(flag.CommandLine.Output(), "%s\n", Version)
}

105
lib/bytesutil/bytebuffer.go Normal file
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@ -0,0 +1,105 @@
package bytesutil
import (
"io"
"sync"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/filestream"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/fs"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/logger"
)
var (
// Verify ByteBuffer implements the given interfaces.
_ io.Writer = &ByteBuffer{}
_ fs.ReadAtCloser = &ByteBuffer{}
// Verify reader implement filestream.ReadCloser interface.
_ filestream.ReadCloser = &reader{}
)
// ByteBuffer implements a simple byte buffer.
type ByteBuffer struct {
// B is the underlying byte slice.
B []byte
}
// Reset resets bb.
func (bb *ByteBuffer) Reset() {
bb.B = bb.B[:0]
}
// Write appends p to bb.
func (bb *ByteBuffer) Write(p []byte) (int, error) {
bb.B = append(bb.B, p...)
return len(p), nil
}
// ReadAt reads len(p) bytes starting from the given offset.
func (bb *ByteBuffer) ReadAt(p []byte, offset int64) {
if offset < 0 {
logger.Panicf("BUG: cannot read at negative offset=%d", offset)
}
if offset > int64(len(bb.B)) {
logger.Panicf("BUG: too big offset=%d; cannot exceed len(bb.B)=%d", offset, len(bb.B))
}
if n := copy(p, bb.B[offset:]); n < len(p) {
logger.Panicf("BUG: EOF occured after reading %d bytes out of %d bytes at offset %d", n, len(p), offset)
}
}
// MustClose closes bb for subsequent re-use.
func (bb *ByteBuffer) MustClose() {
// Do nothing, since certain code rely on bb reading after MustClose call.
}
// NewReader returns new reader for the given bb.
func (bb *ByteBuffer) NewReader() filestream.ReadCloser {
return &reader{
bb: bb,
}
}
type reader struct {
bb *ByteBuffer
// readOffset is the offset in bb.B for read.
readOffset int
}
// Read reads up to len(p) bytes from bb.
func (r *reader) Read(p []byte) (int, error) {
var err error
n := copy(p, r.bb.B[r.readOffset:])
if n < len(p) {
err = io.EOF
}
r.readOffset += n
return n, err
}
// MustClose closes bb for subsequent re-use.
func (r *reader) MustClose() {
r.bb = nil
r.readOffset = 0
}
// ByteBufferPool is a pool of ByteBuffers.
type ByteBufferPool struct {
p sync.Pool
}
// Get obtains a ByteBuffer from bbp.
func (bbp *ByteBufferPool) Get() *ByteBuffer {
bbv := bbp.p.Get()
if bbv == nil {
return &ByteBuffer{}
}
return bbv.(*ByteBuffer)
}
// Put puts bb into bbp.
func (bbp *ByteBufferPool) Put(bb *ByteBuffer) {
bb.Reset()
bbp.p.Put(bb)
}

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@ -0,0 +1,217 @@
package bytesutil
import (
"fmt"
"io"
"testing"
"time"
)
func TestByteBuffer(t *testing.T) {
var bb ByteBuffer
n, err := bb.Write(nil)
if err != nil {
t.Fatalf("cannot write nil: %s", err)
}
if n != 0 {
t.Fatalf("unexpected n when writing nil; got %d; want %d", n, 0)
}
if len(bb.B) != 0 {
t.Fatalf("unexpected len(bb.B) after writing nil; got %d; want %d", len(bb.B), 0)
}
n, err = bb.Write([]byte{})
if err != nil {
t.Fatalf("cannot write empty slice: %s", err)
}
if n != 0 {
t.Fatalf("unexpected n when writing empty slice; got %d; want %d", n, 0)
}
if len(bb.B) != 0 {
t.Fatalf("unexpected len(bb.B) after writing empty slice; got %d; want %d", len(bb.B), 0)
}
data1 := []byte("123")
n, err = bb.Write(data1)
if err != nil {
t.Fatalf("cannot write %q: %s", data1, err)
}
if n != len(data1) {
t.Fatalf("unexpected n when writing %q; got %d; want %d", data1, n, len(data1))
}
if string(bb.B) != string(data1) {
t.Fatalf("unexpected bb.B; got %q; want %q", bb.B, data1)
}
data2 := []byte("1")
n, err = bb.Write(data2)
if err != nil {
t.Fatalf("cannot write %q: %s", data2, err)
}
if n != len(data2) {
t.Fatalf("unexpected n when writing %q; got %d; want %d", data2, n, len(data2))
}
if string(bb.B) != string(data1)+string(data2) {
t.Fatalf("unexpected bb.B; got %q; want %q", bb.B, string(data1)+string(data2))
}
bb.Reset()
if string(bb.B) != "" {
t.Fatalf("unexpected bb.B after reset; got %q; want %q", bb.B, "")
}
r := bb.NewReader().(*reader)
if r.readOffset != 0 {
t.Fatalf("unexpected r.readOffset after reset; got %d; want %d", r.readOffset, 0)
}
}
func TestByteBufferRead(t *testing.T) {
var bb ByteBuffer
n, err := fmt.Fprintf(&bb, "foo, %s, baz", "bar")
if err != nil {
t.Fatalf("unexpected error after fmt.Fprintf: %s", err)
}
if n != len(bb.B) {
t.Fatalf("unexpected len(bb.B); got %d; want %d", len(bb.B), n)
}
if string(bb.B) != "foo, bar, baz" {
t.Fatalf("unexpected bb.B; got %q; want %q", bb.B, "foo, bar, baz")
}
r := bb.NewReader().(*reader)
if r.readOffset != 0 {
t.Fatalf("unexpected r.readOffset; got %d; want %q", r.readOffset, 0)
}
rCopy := bb.NewReader().(*reader)
var bb1 ByteBuffer
n1, err := io.Copy(&bb1, r)
if err != nil {
t.Fatalf("unexpected error after io.Copy: %s", err)
}
if int64(r.readOffset) != n1 {
t.Fatalf("unexpected r.readOffset after io.Copy; got %d; want %d", r.readOffset, n1)
}
if n1 != int64(n) {
t.Fatalf("unexpected number of bytes copied; got %d; want %d", n1, n)
}
if string(bb1.B) != "foo, bar, baz" {
t.Fatalf("unexpected bb1.B; got %q; want %q", bb1.B, "foo, bar, baz")
}
// Make read returns io.EOF
buf := make([]byte, n)
n2, err := r.Read(buf)
if err != io.EOF {
t.Fatalf("unexpected error returned: got %q; want %q", err, io.EOF)
}
if n2 != 0 {
t.Fatalf("unexpected n1 returned; got %d; want %d", n2, 0)
}
// Read data from rCopy
if rCopy.readOffset != 0 {
t.Fatalf("unexpected rCopy.readOffset; got %d; want %d", rCopy.readOffset, 0)
}
buf = make([]byte, n+13)
n2, err = rCopy.Read(buf)
if err != io.EOF {
t.Fatalf("unexpected error when reading from rCopy: got %q; want %q", err, io.EOF)
}
if n2 != n {
t.Fatalf("unexpected number of bytes read from rCopy; got %d; want %d", n2, n)
}
if string(buf[:n2]) != "foo, bar, baz" {
t.Fatalf("unexpected data read: got %q; want %q", buf[:n2], "foo, bar, baz")
}
if rCopy.readOffset != n2 {
t.Fatalf("unexpected rCopy.readOffset; got %d; want %d", rCopy.readOffset, n2)
}
}
func TestByteBufferReadAt(t *testing.T) {
testStr := "foobar baz"
var bb ByteBuffer
bb.B = append(bb.B, testStr...)
// Try reading at negative offset
p := make([]byte, 1)
func() {
defer func() {
if r := recover(); r == nil {
t.Fatalf("expecting non-nil error when reading at negative offset")
}
}()
bb.ReadAt(p, -1)
}()
// Try reading past the end of buffer
func() {
defer func() {
if r := recover(); r == nil {
t.Fatalf("expecting non-nil error when reading past the end of buffer")
}
}()
bb.ReadAt(p, int64(len(testStr))+1)
}()
// Try reading the first byte
n := len(p)
bb.ReadAt(p, 0)
if string(p) != testStr[:n] {
t.Fatalf("unexpected value read: %q; want %q", p, testStr[:n])
}
// Try reading the last byte
bb.ReadAt(p, int64(len(testStr))-1)
if string(p) != testStr[len(testStr)-1:] {
t.Fatalf("unexpected value read: %q; want %q", p, testStr[len(testStr)-1:])
}
// Try reading non-full p
func() {
defer func() {
if r := recover(); r == nil {
t.Fatalf("expecting non-nil error when reading non-full p")
}
}()
p := make([]byte, 10)
bb.ReadAt(p, int64(len(testStr))-3)
}()
// Try reading multiple bytes from the middle
p = make([]byte, 3)
bb.ReadAt(p, 2)
if string(p) != testStr[2:2+len(p)] {
t.Fatalf("unexpected value read: %q; want %q", p, testStr[2:2+len(p)])
}
}
func TestByteBufferReadAtParallel(t *testing.T) {
ch := make(chan error, 10)
var bb ByteBuffer
bb.B = []byte("foo bar baz adsf adsf dsakjlkjlkj2l34324")
for i := 0; i < cap(ch); i++ {
go func() {
p := make([]byte, 3)
for i := 0; i < len(bb.B)-len(p); i++ {
bb.ReadAt(p, int64(i))
}
ch <- nil
}()
}
for i := 0; i < cap(ch); i++ {
select {
case err := <-ch:
if err != nil {
t.Fatalf("unexpected error: %s", err)
}
case <-time.After(3 * time.Second):
t.Fatalf("timeout")
}
}
}

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@ -0,0 +1,33 @@
package bytesutil
import (
"reflect"
"unsafe"
)
// Resize resizes b to n bytes and returns b (which may be newly allocated).
func Resize(b []byte, n int) []byte {
if nn := n - cap(b); nn > 0 {
b = append(b[:cap(b)], make([]byte, nn)...)
}
return b[:n]
}
// ToUnsafeString converts b to string without memory allocations.
//
// The returned string is valid only until b is reachable and unmodified.
func ToUnsafeString(b []byte) string {
return *(*string)(unsafe.Pointer(&b))
}
// ToUnsafeBytes converts s to a byte slice without memory allocations.
//
// The returned byte slice is valid only until s is reachable and unmodified.
func ToUnsafeBytes(s string) []byte {
sh := (*reflect.StringHeader)(unsafe.Pointer(&s))
var slh reflect.SliceHeader
slh.Data = sh.Data
slh.Len = sh.Len
slh.Cap = sh.Len
return *(*[]byte)(unsafe.Pointer(&slh))
}

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@ -0,0 +1,22 @@
package bytesutil
import (
"testing"
)
func TestResize(t *testing.T) {
for i := 0; i < 1000; i++ {
b := Resize(nil, i)
if len(b) != i {
t.Fatalf("invalid b size; got %d; expecting %d", len(b), i)
}
b1 := Resize(b, i)
if len(b1) != len(b) || (len(b) > 0 && &b1[0] != &b[0]) {
t.Fatalf("invalid b1; got %x; expecting %x", b1, b)
}
b2 := Resize(b[:0], i)
if len(b2) != len(b) || (len(b) > 0 && &b2[0] != &b[0]) {
t.Fatalf("invalid b2; got %x; expecting %x", b2, b)
}
}
}

353
lib/decimal/decimal.go Normal file
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@ -0,0 +1,353 @@
package decimal
import (
"math"
"sync"
)
// CalibrateScale calibrates a and b with the corresponding exponents ae, be
// and returns the resulting exponent e.
func CalibrateScale(a []int64, ae int16, b []int64, be int16) (e int16) {
if ae == be {
// Fast path - exponents are equal.
return ae
}
if len(a) == 0 {
return be
}
if len(b) == 0 {
return ae
}
if ae < be {
a, b = b, a
ae, be = be, ae
}
upExp := ae - be
downExp := int16(0)
for _, v := range a {
maxUpExp := maxUpExponent(v)
if upExp-maxUpExp > downExp {
downExp = upExp - maxUpExp
}
}
upExp -= downExp
for i, v := range a {
adjExp := upExp
for adjExp > 0 {
v *= 10
adjExp--
}
a[i] = v
}
if downExp > 0 {
for i, v := range b {
if v == vInfPos || v == vInfNeg {
// Special case for these values - do not touch them.
continue
}
adjExp := downExp
for adjExp > 0 {
v /= 10
adjExp--
}
b[i] = v
}
}
return be + downExp
}
// ExtendFloat64sCapacity extends dst capacity to hold additionalItems
// and returns the extended dst.
func ExtendFloat64sCapacity(dst []float64, additionalItems int) []float64 {
dstLen := len(dst)
if n := dstLen + additionalItems - cap(dst); n > 0 {
dst = append(dst[:cap(dst)], make([]float64, n)...)
}
return dst[:dstLen]
}
// ExtendInt64sCapacity extends dst capacity to hold additionalItems
// and returns the extended dst.
func ExtendInt64sCapacity(dst []int64, additionalItems int) []int64 {
dstLen := len(dst)
if n := dstLen + additionalItems - cap(dst); n > 0 {
dst = append(dst[:cap(dst)], make([]int64, n)...)
}
return dst[:dstLen]
}
// AppendDecimalToFloat converts each item in va to f=v*10^e, appends it
// to dst and returns the resulting dst.
func AppendDecimalToFloat(dst []float64, va []int64, e int16) []float64 {
// Extend dst capacity in order to eliminate memory allocations below.
dst = ExtendFloat64sCapacity(dst, len(va))
e10 := math.Pow10(int(e))
for _, v := range va {
// Manually inline ToFloat here for better performance
var f float64
if v == vInfPos {
f = infPos
} else if v == vInfNeg {
f = infNeg
} else {
f = float64(v) * e10
}
dst = append(dst, f)
}
return dst
}
// AppendFloatToDecimal converts each item in src to v*10^e and appends
// each v to dst returning it as va.
//
// It tries minimizing each item in dst.
func AppendFloatToDecimal(dst []int64, src []float64) (va []int64, e int16) {
if len(src) == 0 {
return dst, 0
}
// Extend dst capacity in order to eliminate memory allocations below.
dst = ExtendInt64sCapacity(dst, len(src))
vaev := vaeBufPool.Get()
if vaev == nil {
vaev = &vaeBuf{
va: make([]int64, len(src)),
ea: make([]int16, len(src)),
}
}
vae := vaev.(*vaeBuf)
vae.va = vae.va[:0]
vae.ea = vae.ea[:0]
// Determine the minimum exponent across all src items.
v, exp := FromFloat(src[0])
vae.va = append(vae.va, v)
vae.ea = append(vae.ea, exp)
minExp := exp
for _, f := range src[1:] {
v, exp := FromFloat(f)
vae.va = append(vae.va, v)
vae.ea = append(vae.ea, exp)
if exp < minExp {
minExp = exp
}
}
// Determine whether all the src items may be upscaled to minExp.
// If not, adjust minExp accordingly.
downExp := int16(0)
for i, v := range vae.va {
exp := vae.ea[i]
upExp := exp - minExp
maxUpExp := maxUpExponent(v)
if upExp-maxUpExp > downExp {
downExp = upExp - maxUpExp
}
}
minExp += downExp
// Scale each item in src to minExp and append it to dst.
for i, v := range vae.va {
exp := vae.ea[i]
adjExp := exp - minExp
for adjExp > 0 {
v *= 10
adjExp--
}
for adjExp < 0 {
v /= 10
adjExp++
}
dst = append(dst, v)
}
vaeBufPool.Put(vae)
return dst, minExp
}
type vaeBuf struct {
va []int64
ea []int16
}
var vaeBufPool sync.Pool
func maxUpExponent(v int64) int16 {
if v == 0 {
// Any exponent allowed.
return 1024
}
if v < 0 {
v = -v
}
if v < 0 {
return 0
}
maxMultiplier := ((1 << 63) - 1) / uint64(v)
switch {
case maxMultiplier >= 1e19:
return 19
case maxMultiplier >= 1e18:
return 18
case maxMultiplier >= 1e17:
return 17
case maxMultiplier >= 1e16:
return 16
case maxMultiplier >= 1e15:
return 15
case maxMultiplier >= 1e14:
return 14
case maxMultiplier >= 1e13:
return 13
case maxMultiplier >= 1e12:
return 12
case maxMultiplier >= 1e11:
return 11
case maxMultiplier >= 1e10:
return 10
case maxMultiplier >= 1e9:
return 9
case maxMultiplier >= 1e8:
return 8
case maxMultiplier >= 1e7:
return 7
case maxMultiplier >= 1e6:
return 6
case maxMultiplier >= 1e5:
return 5
case maxMultiplier >= 1e4:
return 4
case maxMultiplier >= 1e3:
return 3
case maxMultiplier >= 1e2:
return 2
case maxMultiplier >= 1e1:
return 1
default:
return 0
}
}
// ToFloat returns f=v*10^e.
func ToFloat(v int64, e int16) float64 {
if v == vInfPos {
return infPos
}
if v == vInfNeg {
return infNeg
}
return float64(v) * math.Pow10(int(e))
}
const (
vInfPos = 1<<63 - 1
vInfNeg = -1 << 63
vMax = 1<<63 - 3
vMin = -1<<63 + 1
)
var (
infPos = math.Inf(1)
infNeg = math.Inf(-1)
)
// FromFloat converts f to v*10^e.
//
// It tries minimizing v.
// For instance, for f = -1.234 it returns v = -1234, e = -3.
//
// FromFloat doesn't work properly with NaN values, so don't pass them here.
func FromFloat(f float64) (v int64, e int16) {
if math.IsInf(f, 0) {
// Special case for Inf
if math.IsInf(f, 1) {
return vInfPos, 0
}
return vInfNeg, 0
}
minus := false
if f < 0 {
f = -f
minus = true
}
if f == 0 {
// Special case for 0.0 and -0.0
return 0, 0
}
v, e = positiveFloatToDecimal(f)
if minus {
v = -v
}
if v == 0 {
e = 0
} else if v > vMax {
v = vMax
} else if v < vMin {
v = vMin
}
return v, e
}
func positiveFloatToDecimal(f float64) (int64, int16) {
var scale int16
v := int64(f)
if f == float64(v) {
// Fast path for integers.
u := uint64(v)
if u%10 != 0 {
return v, 0
}
// Minimize v by converting trailing zeros to scale.
u /= 10
scale++
for u != 0 && u%10 == 0 {
u /= 10
scale++
}
return int64(u), scale
}
// Slow path for floating point numbers.
if f > 1e6 || f < 1e-6 {
// Normalize f, so it is in the small range suitable
// for the next loop.
_, exp := math.Frexp(f)
scale = int16(float64(exp) * math.Ln2 / math.Ln10)
f *= math.Pow10(-int(scale))
}
// Multiply f by 100 until the fractional part becomes
// too small comparing to integer part.
for f < conversionPrecision {
x, frac := math.Modf(f)
if frac*conversionPrecision < x {
f = x
break
}
if (1-frac)*conversionPrecision < x {
f = x + 1
break
}
f *= 100
scale -= 2
}
u := uint64(f)
if u%10 != 0 {
return int64(u), scale
}
// Minimize u by converting trailing zero to scale.
u /= 10
scale++
return int64(u), scale
}
const conversionPrecision = 1e12

317
lib/decimal/decimal_test.go Normal file
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@ -0,0 +1,317 @@
package decimal
import (
"math"
"math/rand"
"reflect"
"testing"
)
func TestAppendDecimalToFloat(t *testing.T) {
testAppendDecimalToFloat(t, []int64{}, 0, nil)
testAppendDecimalToFloat(t, []int64{0}, 0, []float64{0})
testAppendDecimalToFloat(t, []int64{0}, 10, []float64{0})
testAppendDecimalToFloat(t, []int64{0}, -10, []float64{0})
testAppendDecimalToFloat(t, []int64{-1, -10, 0, 100}, 2, []float64{-1e2, -1e3, 0, 1e4})
testAppendDecimalToFloat(t, []int64{-1, -10, 0, 100}, -2, []float64{-1e-2, -1e-1, 0, 1})
}
func testAppendDecimalToFloat(t *testing.T, va []int64, e int16, fExpected []float64) {
f := AppendDecimalToFloat(nil, va, e)
if !reflect.DeepEqual(f, fExpected) {
t.Fatalf("unexpected f for va=%d, e=%d: got\n%v; expecting\n%v", va, e, f, fExpected)
}
prefix := []float64{1, 2, 3, 4}
f = AppendDecimalToFloat(prefix, va, e)
if !reflect.DeepEqual(f[:len(prefix)], prefix) {
t.Fatalf("unexpected prefix for va=%d, e=%d; got\n%v; expecting\n%v", va, e, f[:len(prefix)], prefix)
}
if fExpected == nil {
fExpected = []float64{}
}
if !reflect.DeepEqual(f[len(prefix):], fExpected) {
t.Fatalf("unexpected prefixed f for va=%d, e=%d: got\n%v; expecting\n%v", va, e, f[len(prefix):], fExpected)
}
}
func TestCalibrateScale(t *testing.T) {
testCalibrateScale(t, []int64{}, []int64{}, 0, 0, []int64{}, []int64{}, 0)
testCalibrateScale(t, []int64{0}, []int64{0}, 0, 0, []int64{0}, []int64{0}, 0)
testCalibrateScale(t, []int64{0}, []int64{1}, 0, 0, []int64{0}, []int64{1}, 0)
testCalibrateScale(t, []int64{1, 0, 2}, []int64{5, -3}, 0, 1, []int64{1, 0, 2}, []int64{50, -30}, 0)
testCalibrateScale(t, []int64{-1, 2}, []int64{5, 6, 3}, 2, -1, []int64{-1000, 2000}, []int64{5, 6, 3}, -1)
testCalibrateScale(t, []int64{123, -456, 94}, []int64{-9, 4, -3, 45}, -3, -3, []int64{123, -456, 94}, []int64{-9, 4, -3, 45}, -3)
testCalibrateScale(t, []int64{1e18, 1, 0}, []int64{3, 456}, 0, -2, []int64{1e18, 1, 0}, []int64{0, 4}, 0)
testCalibrateScale(t, []int64{12345, 678}, []int64{12, -1e17, -3}, -3, 0, []int64{123, 6}, []int64{120, -1e18, -30}, -1)
testCalibrateScale(t, []int64{1, 2}, nil, 12, 34, []int64{1, 2}, nil, 12)
testCalibrateScale(t, nil, []int64{3, 1}, 12, 34, nil, []int64{3, 1}, 34)
testCalibrateScale(t, []int64{923}, []int64{2, 3}, 100, -100, []int64{923e15}, []int64{0, 0}, 85)
testCalibrateScale(t, []int64{923}, []int64{2, 3}, -100, 100, []int64{0}, []int64{2e18, 3e18}, 82)
testCalibrateScale(t, []int64{123, 456, 789, 135}, []int64{}, -12, -10, []int64{123, 456, 789, 135}, []int64{}, -12)
testCalibrateScale(t, []int64{123, 456, 789, 135}, []int64{}, -10, -12, []int64{123, 456, 789, 135}, []int64{}, -10)
testCalibrateScale(t, []int64{vInfPos, 1200}, []int64{500, 100}, 0, 0, []int64{vInfPos, 1200}, []int64{500, 100}, 0)
testCalibrateScale(t, []int64{vInfPos, 1200}, []int64{500, 100}, 0, 2, []int64{vInfPos, 1200}, []int64{500e2, 100e2}, 0)
testCalibrateScale(t, []int64{vInfPos, 1200}, []int64{500, 100}, 0, -2, []int64{vInfPos, 1200}, []int64{5, 1}, 0)
testCalibrateScale(t, []int64{vInfPos, 1200}, []int64{3500, 100}, 0, -3, []int64{vInfPos, 1200}, []int64{3, 0}, 0)
testCalibrateScale(t, []int64{vInfPos, 1200}, []int64{35, 1}, 0, 40, []int64{vInfPos, 0}, []int64{35e17, 1e17}, 23)
testCalibrateScale(t, []int64{vInfPos, 1200}, []int64{35, 1}, 40, 0, []int64{vInfPos, 1200}, []int64{0, 0}, 40)
testCalibrateScale(t, []int64{vInfNeg, 1200}, []int64{35, 1}, 35, -5, []int64{vInfNeg, 1200}, []int64{0, 0}, 35)
testCalibrateScale(t, []int64{vMax, vMin, 123}, []int64{100}, 0, 3, []int64{vMax, vMin, 123}, []int64{100e3}, 0)
testCalibrateScale(t, []int64{vMax, vMin, 123}, []int64{100}, 3, 0, []int64{vMax, vMin, 123}, []int64{0}, 3)
testCalibrateScale(t, []int64{vMax, vMin, 123}, []int64{100}, 0, 30, []int64{92233, -92233, 0}, []int64{100e16}, 14)
}
func testCalibrateScale(t *testing.T, a, b []int64, ae, be int16, aExpected, bExpected []int64, eExpected int16) {
t.Helper()
if a == nil {
a = []int64{}
}
if b == nil {
b = []int64{}
}
if aExpected == nil {
aExpected = []int64{}
}
if bExpected == nil {
bExpected = []int64{}
}
aCopy := append([]int64{}, a...)
bCopy := append([]int64{}, b...)
e := CalibrateScale(aCopy, ae, bCopy, be)
if e != eExpected {
t.Fatalf("unexpected e for a=%d, b=%d, ae=%d, be=%d; got %d; expecting %d", a, b, ae, be, e, eExpected)
}
if !reflect.DeepEqual(aCopy, aExpected) {
t.Fatalf("unexpected a for b=%d, ae=%d, be=%d; got\n%d; expecting\n%d", b, ae, be, aCopy, aExpected)
}
if !reflect.DeepEqual(bCopy, bExpected) {
t.Fatalf("unexpected b for a=%d, ae=%d, be=%d; got\n%d; expecting\n%d", a, ae, be, bCopy, bExpected)
}
// Try reverse args.
aCopy = append([]int64{}, a...)
bCopy = append([]int64{}, b...)
e = CalibrateScale(bCopy, be, aCopy, ae)
if e != eExpected {
t.Fatalf("revers: unexpected e for a=%d, b=%d, ae=%d, be=%d; got %d; expecting %d", a, b, ae, be, e, eExpected)
}
if !reflect.DeepEqual(aCopy, aExpected) {
t.Fatalf("reverse: unexpected a for b=%d, ae=%d, be=%d; got\n%d; expecting\n%d", b, ae, be, aCopy, aExpected)
}
if !reflect.DeepEqual(bCopy, bExpected) {
t.Fatalf("reverse: unexpected b for a=%d, ae=%d, be=%d; got\n%d; expecting\n%d", a, ae, be, bCopy, bExpected)
}
}
func TestMaxUpExponent(t *testing.T) {
testMaxUpExponent(t, 0, 1024)
testMaxUpExponent(t, -1<<63, 0)
testMaxUpExponent(t, (-1<<63)+1, 0)
testMaxUpExponent(t, (1<<63)-1, 0)
testMaxUpExponent(t, 1, 18)
testMaxUpExponent(t, 12, 17)
testMaxUpExponent(t, 123, 16)
testMaxUpExponent(t, 1234, 15)
testMaxUpExponent(t, 12345, 14)
testMaxUpExponent(t, 123456, 13)
testMaxUpExponent(t, 1234567, 12)
testMaxUpExponent(t, 12345678, 11)
testMaxUpExponent(t, 123456789, 10)
testMaxUpExponent(t, 1234567890, 9)
testMaxUpExponent(t, 12345678901, 8)
testMaxUpExponent(t, 123456789012, 7)
testMaxUpExponent(t, 1234567890123, 6)
testMaxUpExponent(t, 12345678901234, 5)
testMaxUpExponent(t, 123456789012345, 4)
testMaxUpExponent(t, 1234567890123456, 3)
testMaxUpExponent(t, 12345678901234567, 2)
testMaxUpExponent(t, 123456789012345678, 1)
testMaxUpExponent(t, 1234567890123456789, 0)
testMaxUpExponent(t, 923456789012345678, 0)
testMaxUpExponent(t, 92345678901234567, 1)
testMaxUpExponent(t, 9234567890123456, 2)
testMaxUpExponent(t, 923456789012345, 3)
testMaxUpExponent(t, 92345678901234, 4)
testMaxUpExponent(t, 9234567890123, 5)
testMaxUpExponent(t, 923456789012, 6)
testMaxUpExponent(t, 92345678901, 7)
testMaxUpExponent(t, 9234567890, 8)
testMaxUpExponent(t, 923456789, 9)
testMaxUpExponent(t, 92345678, 10)
testMaxUpExponent(t, 9234567, 11)
testMaxUpExponent(t, 923456, 12)
testMaxUpExponent(t, 92345, 13)
testMaxUpExponent(t, 9234, 14)
testMaxUpExponent(t, 923, 15)
testMaxUpExponent(t, 92, 17)
testMaxUpExponent(t, 9, 18)
}
func testMaxUpExponent(t *testing.T, v int64, eExpected int16) {
t.Helper()
e := maxUpExponent(v)
if e != eExpected {
t.Fatalf("unexpected e for v=%d; got %d; epxecting %d", v, e, eExpected)
}
e = maxUpExponent(-v)
if e != eExpected {
t.Fatalf("unexpected e for v=%d; got %d; expecting %d", -v, e, eExpected)
}
}
func TestAppendFloatToDecimal(t *testing.T) {
// no-op
testAppendFloatToDecimal(t, []float64{}, nil, 0)
testAppendFloatToDecimal(t, []float64{0}, []int64{0}, 0)
testAppendFloatToDecimal(t, []float64{0, 1, -1, 12345678, -123456789}, []int64{0, 1, -1, 12345678, -123456789}, 0)
// upExp
testAppendFloatToDecimal(t, []float64{-24, 0, 4.123, 0.3}, []int64{-24000, 0, 4123, 300}, -3)
testAppendFloatToDecimal(t, []float64{0, 10.23456789, 1e2, 1e-3, 1e-4}, []int64{0, 1023456789, 1e10, 1e5, 1e4}, -8)
// downExp
testAppendFloatToDecimal(t, []float64{3e17, 7e-2, 5e-7, 45, 7e-1}, []int64{3e18, 0, 0, 450, 7}, -1)
testAppendFloatToDecimal(t, []float64{3e18, 1, 0.1, 13}, []int64{3e18, 1, 0, 13}, 0)
}
func testAppendFloatToDecimal(t *testing.T, fa []float64, daExpected []int64, eExpected int16) {
t.Helper()
da, e := AppendFloatToDecimal(nil, fa)
if e != eExpected {
t.Fatalf("unexpected e for fa=%f; got %d; expecting %d", fa, e, eExpected)
}
if !reflect.DeepEqual(da, daExpected) {
t.Fatalf("unexpected da for fa=%f; got\n%d; expecting\n%d", fa, da, daExpected)
}
daPrefix := []int64{1, 2, 3}
da, e = AppendFloatToDecimal(daPrefix, fa)
if e != eExpected {
t.Fatalf("unexpected e for fa=%f; got %d; expecting %d", fa, e, eExpected)
}
if !reflect.DeepEqual(da[:len(daPrefix)], daPrefix) {
t.Fatalf("unexpected daPrefix for fa=%f; got\n%d; expecting\n%d", fa, da[:len(daPrefix)], daPrefix)
}
if daExpected == nil {
daExpected = []int64{}
}
if !reflect.DeepEqual(da[len(daPrefix):], daExpected) {
t.Fatalf("unexpected da for fa=%f; got\n%d; expecting\n%d", fa, da[len(daPrefix):], daExpected)
}
}
func TestFloatToDecimal(t *testing.T) {
testFloatToDecimal(t, 0, 0, 0)
testFloatToDecimal(t, 1, 1, 0)
testFloatToDecimal(t, -1, -1, 0)
testFloatToDecimal(t, 0.9, 9, -1)
testFloatToDecimal(t, 0.99, 99, -2)
testFloatToDecimal(t, 9, 9, 0)
testFloatToDecimal(t, 99, 99, 0)
testFloatToDecimal(t, 20, 2, 1)
testFloatToDecimal(t, 100, 1, 2)
testFloatToDecimal(t, 3000, 3, 3)
testFloatToDecimal(t, 0.123, 123, -3)
testFloatToDecimal(t, -0.123, -123, -3)
testFloatToDecimal(t, 1.2345, 12345, -4)
testFloatToDecimal(t, -1.2345, -12345, -4)
testFloatToDecimal(t, 12000, 12, 3)
testFloatToDecimal(t, -12000, -12, 3)
testFloatToDecimal(t, 1e-30, 1, -30)
testFloatToDecimal(t, -1e-30, -1, -30)
testFloatToDecimal(t, 1e-260, 1, -260)
testFloatToDecimal(t, -1e-260, -1, -260)
testFloatToDecimal(t, 321e260, 321, 260)
testFloatToDecimal(t, -321e260, -321, 260)
testFloatToDecimal(t, 1234567890123, 1234567890123, 0)
testFloatToDecimal(t, -1234567890123, -1234567890123, 0)
testFloatToDecimal(t, 123e5, 123, 5)
testFloatToDecimal(t, 15e18, 15, 18)
testFloatToDecimal(t, math.Inf(1), vInfPos, 0)
testFloatToDecimal(t, math.Inf(-1), vInfNeg, 0)
testFloatToDecimal(t, 1<<63-1, 922337203685, 7)
testFloatToDecimal(t, -1<<63, -922337203685, 7)
}
func testFloatToDecimal(t *testing.T, f float64, vExpected int64, eExpected int16) {
t.Helper()
v, e := FromFloat(f)
if v != vExpected {
t.Fatalf("unexpected v for f=%e; got %d; expecting %d", f, v, vExpected)
}
if e != eExpected {
t.Fatalf("unexpected e for f=%e; got %d; expecting %d", f, e, eExpected)
}
}
func TestFloatToDecimalRoundtrip(t *testing.T) {
testFloatToDecimalRoundtrip(t, 0)
testFloatToDecimalRoundtrip(t, 1)
testFloatToDecimalRoundtrip(t, 0.123)
testFloatToDecimalRoundtrip(t, 1.2345)
testFloatToDecimalRoundtrip(t, 12000)
testFloatToDecimalRoundtrip(t, 1e-30)
testFloatToDecimalRoundtrip(t, 1e-260)
testFloatToDecimalRoundtrip(t, 321e260)
testFloatToDecimalRoundtrip(t, 1234567890123)
testFloatToDecimalRoundtrip(t, 12.34567890125)
testFloatToDecimalRoundtrip(t, 15e18)
testFloatToDecimalRoundtrip(t, math.Inf(1))
testFloatToDecimalRoundtrip(t, math.Inf(-1))
testFloatToDecimalRoundtrip(t, 1<<63-1)
testFloatToDecimalRoundtrip(t, -1<<63)
for i := 0; i < 1e4; i++ {
f := rand.NormFloat64()
testFloatToDecimalRoundtrip(t, f)
testFloatToDecimalRoundtrip(t, f*1e-6)
testFloatToDecimalRoundtrip(t, f*1e6)
testFloatToDecimalRoundtrip(t, roundFloat(f, 20))
testFloatToDecimalRoundtrip(t, roundFloat(f, 10))
testFloatToDecimalRoundtrip(t, roundFloat(f, 5))
testFloatToDecimalRoundtrip(t, roundFloat(f, 0))
testFloatToDecimalRoundtrip(t, roundFloat(f, -5))
testFloatToDecimalRoundtrip(t, roundFloat(f, -10))
testFloatToDecimalRoundtrip(t, roundFloat(f, -20))
}
}
func roundFloat(f float64, exp int) float64 {
f *= math.Pow10(-exp)
return math.Trunc(f) * math.Pow10(exp)
}
func testFloatToDecimalRoundtrip(t *testing.T, f float64) {
t.Helper()
v, e := FromFloat(f)
fNew := ToFloat(v, e)
if !equalFloat(fNew, f) {
t.Fatalf("unexpected fNew for v=%d, e=%d; got %g; expecting %g", v, e, fNew, f)
}
v, e = FromFloat(-f)
fNew = ToFloat(v, e)
if !equalFloat(fNew, -f) {
t.Fatalf("unexepcted fNew for v=%d, e=%d; got %g; expecting %g", v, e, fNew, -f)
}
}
func equalFloat(f1, f2 float64) bool {
if math.IsInf(f1, 0) {
return math.IsInf(f1, 1) == math.IsInf(f2, 1) || math.IsInf(f1, -1) == math.IsInf(f2, -1)
}
eps := math.Abs(f1 - f2)
return eps == 0 || eps*conversionPrecision < math.Abs(f1)+math.Abs(f2)
}

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package decimal
import (
"fmt"
"math/rand"
"sync/atomic"
"testing"
)
func BenchmarkAppendDecimalToFloat(b *testing.B) {
b.ReportAllocs()
b.SetBytes(int64(len(testVA)))
b.RunParallel(func(pb *testing.PB) {
var fa []float64
for pb.Next() {
fa = AppendDecimalToFloat(fa[:0], testVA, 0)
atomic.AddUint64(&Sink, uint64(len(fa)))
}
})
}
func BenchmarkAppendFloatToDecimal(b *testing.B) {
b.Run("RealFloat", func(b *testing.B) {
benchmarkAppendFloatToDecimal(b, testFAReal)
})
b.Run("Integers", func(b *testing.B) {
benchmarkAppendFloatToDecimal(b, testFAInteger)
})
}
func benchmarkAppendFloatToDecimal(b *testing.B, fa []float64) {
b.ReportAllocs()
b.SetBytes(int64(len(fa)))
b.RunParallel(func(pb *testing.PB) {
var da []int64
var e int16
var sink uint64
for pb.Next() {
da, e = AppendFloatToDecimal(da[:0], fa)
sink += uint64(len(da))
sink += uint64(e)
}
atomic.AddUint64(&Sink, sink)
})
}
var testFAReal = func() []float64 {
fa := make([]float64, 8*1024)
for i := 0; i < len(fa); i++ {
fa[i] = rand.NormFloat64() * 1e6
}
return fa
}()
var testFAInteger = func() []float64 {
fa := make([]float64, 8*1024)
for i := 0; i < len(fa); i++ {
fa[i] = float64(int(rand.NormFloat64() * 1e6))
}
return fa
}()
var testVA = func() []int64 {
va, _ := AppendFloatToDecimal(nil, testFAReal)
return va
}()
func BenchmarkFromFloat(b *testing.B) {
for _, f := range []float64{0, 1234, 12334345, 12343.4344, 123.45678901e12, 12.3454435e30} {
b.Run(fmt.Sprintf("%g", f), func(b *testing.B) {
b.ReportAllocs()
b.SetBytes(1)
b.RunParallel(func(pb *testing.PB) {
var sink uint64
for pb.Next() {
v, e := FromFloat(f)
sink += uint64(v)
sink += uint64(e)
}
atomic.AddUint64(&Sink, sink)
})
})
}
}
var Sink uint64

27
lib/encoding/compress.go Normal file
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package encoding
import (
"github.com/valyala/gozstd"
)
// CompressZSTD compresses src, appends the result to dst and returns
// the appended dst.
//
// src must be non-empty.
func CompressZSTD(dst, src []byte) []byte {
return gozstd.CompressLevel(dst, src, 5)
}
// CompressZSTDLevel appends compressed src to dst and returns
// the appended dst.
//
// The given compressLevel is used for the compression.
func CompressZSTDLevel(dst, src []byte, compressLevel int) []byte {
return gozstd.CompressLevel(dst, src, compressLevel)
}
// DecompressZSTD decompresses src, appends the result to dst and returns
// the appended dst.
func DecompressZSTD(dst, src []byte) ([]byte, error) {
return gozstd.Decompress(dst, src)
}

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package encoding
import (
"math/rand"
"testing"
)
func TestCompressDecompressZSTD(t *testing.T) {
testCompressDecompressZSTD(t, []byte("a"))
testCompressDecompressZSTD(t, []byte("foobarbaz"))
var b []byte
for i := 0; i < 64*1024; i++ {
b = append(b, byte(rand.Int31n(256)))
}
testCompressDecompressZSTD(t, b)
}
func testCompressDecompressZSTD(t *testing.T, b []byte) {
bc := CompressZSTD(nil, b)
bNew, err := DecompressZSTD(nil, bc)
if err != nil {
t.Fatalf("unexpected error when decompressing b=%x from bc=%x: %s", b, bc, err)
}
if string(bNew) != string(b) {
t.Fatalf("invalid bNew; got\n%x; expecting\n%x", bNew, b)
}
prefix := []byte{1, 2, 33}
bcNew := CompressZSTD(prefix, b)
if string(bcNew[:len(prefix)]) != string(prefix) {
t.Fatalf("invalid prefix for b=%x; got\n%x; expecting\n%x", b, bcNew[:len(prefix)], prefix)
}
if string(bcNew[len(prefix):]) != string(bc) {
t.Fatalf("invalid prefixed bcNew for b=%x; got\n%x; expecting\n%x", b, bcNew[len(prefix):], bc)
}
bNew, err = DecompressZSTD(prefix, bc)
if err != nil {
t.Fatalf("unexpected error when decompressing b=%x from bc=%x with prefix: %s", b, bc, err)
}
if string(bNew[:len(prefix)]) != string(prefix) {
t.Fatalf("invalid bNew prefix when decompressing bc=%x; got\n%x; expecting\n%x", bc, bNew[:len(prefix)], prefix)
}
if string(bNew[len(prefix):]) != string(b) {
t.Fatalf("invalid prefixed bNew; got\n%x; expecting\n%x", bNew[len(prefix):], b)
}
}

350
lib/encoding/encoding.go Normal file
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package encoding
import (
"fmt"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/bytesutil"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/decimal"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/logger"
)
// minCompressibleBlockSize is the minimum block size in bytes for trying compression.
//
// There is no sense in compressing smaller blocks.
const minCompressibleBlockSize = 128
// MarshalType is the type used for the marshaling.
type MarshalType byte
const (
// MarshalTypeZSTDNearestDelta2 is used for marshaling counter
// timeseries.
MarshalTypeZSTDNearestDelta2 = MarshalType(1)
// MarshalTypeDeltaConst is used for marshaling constantly changed
// time series with constant delta.
MarshalTypeDeltaConst = MarshalType(2)
// MarshalTypeConst is used for marshaling time series containing only
// a single constant.
MarshalTypeConst = MarshalType(3)
// MarshalTypeZSTDNearestDelta is used for marshaling gauge timeseries.
MarshalTypeZSTDNearestDelta = MarshalType(4)
// MarshalTypeNearestDelta2 is used instead of MarshalTypeZSTDNearestDelta2
// if compression doesn't help.
MarshalTypeNearestDelta2 = MarshalType(5)
// MarshalTypeNearestDelta is used instead of MarshalTypeZSTDNearestDelta
// if compression doesn't help.
MarshalTypeNearestDelta = MarshalType(6)
)
// CheckMarshalType verifies whether the mt is valid.
func CheckMarshalType(mt MarshalType) error {
if mt < 0 || mt > 6 {
return fmt.Errorf("MarshalType should be in range [0..6]; got %d", mt)
}
return nil
}
// CheckPrecisionBits makes sure precisionBits is in the range [1..64].
func CheckPrecisionBits(precisionBits uint8) error {
if precisionBits < 1 || precisionBits > 64 {
return fmt.Errorf("precisionBits must be in the range [1...64]; got %d", precisionBits)
}
return nil
}
// MarshalTimestamps marshals timestamps, appends the marshaled result
// to dst and returns the dst.
//
// timestamps must contain non-decreasing values.
//
// precisionBits must be in the range [1...64], where 1 means 50% precision,
// while 64 means 100% precision, i.e. lossless encoding.
func MarshalTimestamps(dst []byte, timestamps []int64, precisionBits uint8) (result []byte, mt MarshalType, firstTimestamp int64) {
return marshalInt64Array(dst, timestamps, precisionBits)
}
// UnmarshalTimestamps unmarshals timestamps from src, appends them to dst
// and returns the resulting dst.
//
// firstTimestamp must be the timestamp returned from MarshalTimestamps.
func UnmarshalTimestamps(dst []int64, src []byte, mt MarshalType, firstTimestamp int64, itemsCount int) ([]int64, error) {
dst, err := unmarshalInt64Array(dst, src, mt, firstTimestamp, itemsCount)
if err != nil {
return nil, fmt.Errorf("cannot unmarshal %d timestamps from len(src)=%d bytes: %s", itemsCount, len(src), err)
}
return dst, nil
}
// MarshalValues marshals values, appends the marshaled result to dst
// and returns the dst.
//
// precisionBits must be in the range [1...64], where 1 means 50% precision,
// while 64 means 100% precision, i.e. lossless encoding.
func MarshalValues(dst []byte, values []int64, precisionBits uint8) (result []byte, mt MarshalType, firstValue int64) {
return marshalInt64Array(dst, values, precisionBits)
}
// UnmarshalValues unmarshals values from src, appends them to dst and returns
// the resulting dst.
//
// firstValue must be the value returned from MarshalValues.
func UnmarshalValues(dst []int64, src []byte, mt MarshalType, firstValue int64, itemsCount int) ([]int64, error) {
dst, err := unmarshalInt64Array(dst, src, mt, firstValue, itemsCount)
if err != nil {
return nil, fmt.Errorf("cannot unmarshal %d values from len(src)=%d bytes: %s", itemsCount, len(src), err)
}
return dst, nil
}
func marshalInt64Array(dst []byte, a []int64, precisionBits uint8) (result []byte, mt MarshalType, firstValue int64) {
if len(a) == 0 {
logger.Panicf("BUG: a must contain at least one item")
}
if isConst(a) {
firstValue = a[0]
return dst, MarshalTypeConst, firstValue
}
if isDeltaConst(a) {
firstValue = a[0]
dst = MarshalVarInt64(dst, a[1]-a[0])
return dst, MarshalTypeDeltaConst, firstValue
}
bb := bbPool.Get()
if isGauge(a) {
// Guage values are better compressed with delta encoding.
mt = MarshalTypeZSTDNearestDelta
pb := precisionBits
if pb < 6 {
// Increase precision bits for gauges, since they suffer more
// from low precision bits comparing to counters.
pb += 2
}
bb.B, firstValue = marshalInt64NearestDelta(bb.B[:0], a, pb)
} else {
// Non-gauge values, i.e. counters are better compressed with delta2 encoding.
mt = MarshalTypeZSTDNearestDelta2
bb.B, firstValue = marshalInt64NearestDelta2(bb.B[:0], a, precisionBits)
}
// Try compressing the result.
dstOrig := dst
if len(bb.B) >= minCompressibleBlockSize {
compressLevel := getCompressLevel(len(a))
dst = CompressZSTDLevel(dst, bb.B, compressLevel)
}
if len(bb.B) < minCompressibleBlockSize || float64(len(dst)-len(dstOrig)) > 0.9*float64(len(bb.B)) {
// Ineffective compression. Store plain data.
switch mt {
case MarshalTypeZSTDNearestDelta2:
mt = MarshalTypeNearestDelta2
case MarshalTypeZSTDNearestDelta:
mt = MarshalTypeNearestDelta
default:
logger.Panicf("BUG: unexpected mt=%d", mt)
}
dst = append(dstOrig, bb.B...)
}
bbPool.Put(bb)
return dst, mt, firstValue
}
func unmarshalInt64Array(dst []int64, src []byte, mt MarshalType, firstValue int64, itemsCount int) ([]int64, error) {
// Extend dst capacity in order to eliminate memory allocations below.
dst = decimal.ExtendInt64sCapacity(dst, itemsCount)
var err error
switch mt {
case MarshalTypeZSTDNearestDelta:
bb := bbPool.Get()
bb.B, err = DecompressZSTD(bb.B[:0], src)
if err != nil {
return nil, fmt.Errorf("cannot decompress zstd data of size %d: %s", len(src), err)
}
dst, err = unmarshalInt64NearestDelta(dst, bb.B, firstValue, itemsCount)
bbPool.Put(bb)
if err != nil {
return nil, fmt.Errorf("cannot unmarshal nearest delta data after zstd decompression: %s", err)
}
return dst, nil
case MarshalTypeZSTDNearestDelta2:
bb := bbPool.Get()
bb.B, err = DecompressZSTD(bb.B[:0], src)
if err != nil {
return nil, fmt.Errorf("cannot decompress zstd data of size %d: %s", len(src), err)
}
dst, err = unmarshalInt64NearestDelta2(dst, bb.B, firstValue, itemsCount)
bbPool.Put(bb)
if err != nil {
return nil, fmt.Errorf("cannot unmarshal nearest delta2 data after zstd decompression: %s", err)
}
return dst, nil
case MarshalTypeNearestDelta:
dst, err = unmarshalInt64NearestDelta(dst, src, firstValue, itemsCount)
if err != nil {
return nil, fmt.Errorf("cannot unmarshal nearest delta data: %s", err)
}
return dst, nil
case MarshalTypeNearestDelta2:
dst, err = unmarshalInt64NearestDelta2(dst, src, firstValue, itemsCount)
if err != nil {
return nil, fmt.Errorf("cannot unmarshal nearest delta2 data: %s", err)
}
return dst, nil
case MarshalTypeConst:
if len(src) > 0 {
return nil, fmt.Errorf("unexpected data left in const encoding: %d bytes", len(src))
}
for itemsCount > 0 {
dst = append(dst, firstValue)
itemsCount--
}
return dst, nil
case MarshalTypeDeltaConst:
v := firstValue
tail, d, err := UnmarshalVarInt64(src)
if err != nil {
return nil, fmt.Errorf("cannot unmarshal delta value for delta const: %s", err)
}
if len(tail) > 0 {
return nil, fmt.Errorf("unexpected trailing data after delta const (d=%d): %d bytes", d, len(tail))
}
for itemsCount > 0 {
dst = append(dst, v)
itemsCount--
v += d
}
return dst, nil
default:
return nil, fmt.Errorf("unknown MarshalType=%d", mt)
}
}
var bbPool bytesutil.ByteBufferPool
// EnsureNonDecreasingSequence makes sure the first item in a is vMin, the last
// item in a is vMax and all the items in a are non-decreasing.
//
// If this isn't the case the a is fixed accordingly.
func EnsureNonDecreasingSequence(a []int64, vMin, vMax int64) {
if vMax < vMin {
logger.Panicf("BUG: vMax cannot be smaller than vMin; got %d vs %d", vMax, vMin)
}
if len(a) == 0 {
return
}
if a[0] != vMin {
a[0] = vMin
}
vPrev := a[0]
aa := a[1:]
for i, v := range aa {
if v < vPrev {
aa[i] = vPrev
v = vPrev
}
vPrev = v
}
i := len(a) - 1
if a[i] != vMax {
a[i] = vMax
i--
for i >= 0 && a[i] > vMax {
a[i] = vMax
i--
}
}
}
// isConst returns true if a contains only equal values.
func isConst(a []int64) bool {
if len(a) == 0 {
return false
}
v1 := a[0]
for _, v := range a {
if v != v1 {
return false
}
}
return true
}
// isDeltaConst returns true if a contains counter with constant delta.
func isDeltaConst(a []int64) bool {
if len(a) < 2 {
return false
}
d1 := a[1] - a[0]
prev := a[1]
for _, next := range a[2:] {
if next-prev != d1 {
return false
}
prev = next
}
return true
}
// isGauge returns true if a contains gauge values,
// i.e. arbitrary changing values.
//
// It is OK if a few gauges aren't detected (i.e. detected as counters),
// since misdetected counters as gauges are much worse condition.
func isGauge(a []int64) bool {
// Check all the items in a, since a part of items may lead
// to incorrect gauge detection.
if len(a) < 2 {
return false
}
extremes := 0
plus := a[0] <= a[1]
v1 := a[1]
for _, v2 := range a[2:] {
if plus {
if v2 < v1 {
extremes++
plus = false
}
} else {
if v2 > v1 {
extremes++
plus = true
}
}
v1 = v2
}
if extremes <= 2 {
// Probably counter reset.
return false
}
// A few extremes may indicate counter resets.
// Let it be a gauge if extremes exceed len(a)/32,
// otherwise assume counter reset.
return extremes > (len(a) >> 5)
}
func getCompressLevel(itemsCount int) int {
if itemsCount <= 1<<6 {
return 1
}
if itemsCount <= 1<<8 {
return 2
}
if itemsCount <= 1<<10 {
return 3
}
if itemsCount <= 1<<12 {
return 4
}
return 5
}

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package encoding
import (
"math/rand"
"reflect"
"testing"
)
func TestIsConst(t *testing.T) {
f := func(a []int64, okExpected bool) {
t.Helper()
ok := isConst(a)
if ok != okExpected {
t.Fatalf("unexpected isConst for a=%d; got %v; want %v", a, ok, okExpected)
}
}
f([]int64{}, false)
f([]int64{1}, true)
f([]int64{1, 2}, false)
f([]int64{1, 1}, true)
f([]int64{1, 1, 1}, true)
f([]int64{1, 1, 2}, false)
}
func TestIsDeltaConst(t *testing.T) {
f := func(a []int64, okExpected bool) {
t.Helper()
ok := isDeltaConst(a)
if ok != okExpected {
t.Fatalf("unexpected isDeltaConst for a=%d; got %v; want %v", a, ok, okExpected)
}
}
f([]int64{}, false)
f([]int64{1}, false)
f([]int64{1, 2}, true)
f([]int64{1, 2, 3}, true)
f([]int64{3, 2, 1}, true)
f([]int64{3, 2, 1, 0, -1, -2}, true)
f([]int64{3, 2, 1, 0, -1, -2, 2}, false)
f([]int64{1, 1}, true)
f([]int64{1, 2, 1}, false)
f([]int64{1, 2, 4}, false)
}
func TestIsGauge(t *testing.T) {
testIsGauge(t, []int64{}, false)
testIsGauge(t, []int64{0}, false)
testIsGauge(t, []int64{1, 2}, false)
testIsGauge(t, []int64{0, 1, 2, 3, 4, 5}, false)
testIsGauge(t, []int64{0, -1, -2, -3, -4}, false)
testIsGauge(t, []int64{0, 0, 0, 0, 0, 0, 0}, false)
testIsGauge(t, []int64{1, 1, 1, 1, 1}, false)
testIsGauge(t, []int64{1, 1, 2, 2, 2, 2}, false)
testIsGauge(t, []int64{1, 5, 2, 3}, false) // a single counter reset
testIsGauge(t, []int64{1, 5, 2, 3, 2}, true)
testIsGauge(t, []int64{-1, -5, -2, -3}, false) // a single counter reset
testIsGauge(t, []int64{-1, -5, -2, -3, -2}, true)
}
func testIsGauge(t *testing.T, a []int64, okExpected bool) {
t.Helper()
ok := isGauge(a)
if ok != okExpected {
t.Fatalf("unexpected result for isGauge(%d); got %v; expecting %v", a, ok, okExpected)
}
}
func TestEnsureNonDecreasingSequence(t *testing.T) {
testEnsureNonDecreasingSequence(t, []int64{}, -1234, -34, []int64{})
testEnsureNonDecreasingSequence(t, []int64{123}, -1234, -1234, []int64{-1234})
testEnsureNonDecreasingSequence(t, []int64{123}, -1234, 345, []int64{345})
testEnsureNonDecreasingSequence(t, []int64{-23, -14}, -23, -14, []int64{-23, -14})
testEnsureNonDecreasingSequence(t, []int64{-23, -14}, -25, 0, []int64{-25, 0})
testEnsureNonDecreasingSequence(t, []int64{0, -1, 10, 5, 6, 7}, 2, 8, []int64{2, 2, 8, 8, 8, 8})
testEnsureNonDecreasingSequence(t, []int64{0, -1, 10, 5, 6, 7}, -2, 8, []int64{-2, -1, 8, 8, 8, 8})
testEnsureNonDecreasingSequence(t, []int64{0, -1, 10, 5, 6, 7}, -2, 12, []int64{-2, -1, 10, 10, 10, 12})
testEnsureNonDecreasingSequence(t, []int64{1, 2, 1, 3, 4, 5}, 1, 5, []int64{1, 2, 2, 3, 4, 5})
}
func testEnsureNonDecreasingSequence(t *testing.T, a []int64, vMin, vMax int64, aExpected []int64) {
t.Helper()
EnsureNonDecreasingSequence(a, vMin, vMax)
if !reflect.DeepEqual(a, aExpected) {
t.Fatalf("unexpected a; got\n%d; expecting\n%d", a, aExpected)
}
}
func TestMarshalUnmarshalInt64Array(t *testing.T) {
testMarshalUnmarshalInt64Array(t, []int64{1, 20, 234}, 4, MarshalTypeNearestDelta2)
testMarshalUnmarshalInt64Array(t, []int64{1, 20, -2345, 678934, 342}, 4, MarshalTypeNearestDelta)
testMarshalUnmarshalInt64Array(t, []int64{1, 20, 2345, 6789, 12342}, 4, MarshalTypeNearestDelta2)
// Constant encoding
testMarshalUnmarshalInt64Array(t, []int64{1}, 4, MarshalTypeConst)
testMarshalUnmarshalInt64Array(t, []int64{1, 2}, 4, MarshalTypeDeltaConst)
testMarshalUnmarshalInt64Array(t, []int64{-1, 0, 1, 2, 3, 4, 5}, 4, MarshalTypeDeltaConst)
testMarshalUnmarshalInt64Array(t, []int64{-10, -1, 8, 17, 26}, 4, MarshalTypeDeltaConst)
testMarshalUnmarshalInt64Array(t, []int64{0, 0, 0, 0, 0, 0}, 4, MarshalTypeConst)
testMarshalUnmarshalInt64Array(t, []int64{100, 100, 100, 100}, 4, MarshalTypeConst)
var va []int64
var v int64
// Verify nearest delta encoding.
va = va[:0]
v = 0
for i := 0; i < 8*1024; i++ {
v += int64(rand.NormFloat64() * 1e6)
va = append(va, v)
}
for precisionBits := uint8(1); precisionBits < 23; precisionBits++ {
testMarshalUnmarshalInt64Array(t, va, precisionBits, MarshalTypeZSTDNearestDelta)
}
for precisionBits := uint8(23); precisionBits < 65; precisionBits++ {
testMarshalUnmarshalInt64Array(t, va, precisionBits, MarshalTypeNearestDelta)
}
// Verify nearest delta2 encoding.
va = va[:0]
v = 0
for i := 0; i < 8*1024; i++ {
v += 30e6 + int64(rand.NormFloat64()*1e6)
va = append(va, v)
}
for precisionBits := uint8(1); precisionBits < 24; precisionBits++ {
testMarshalUnmarshalInt64Array(t, va, precisionBits, MarshalTypeZSTDNearestDelta2)
}
for precisionBits := uint8(24); precisionBits < 65; precisionBits++ {
testMarshalUnmarshalInt64Array(t, va, precisionBits, MarshalTypeNearestDelta2)
}
// Verify nearest delta encoding.
va = va[:0]
v = 1000
for i := 0; i < 6; i++ {
v += int64(rand.NormFloat64() * 100)
va = append(va, v)
}
for precisionBits := uint8(1); precisionBits < 65; precisionBits++ {
testMarshalUnmarshalInt64Array(t, va, precisionBits, MarshalTypeNearestDelta)
}
// Verify nearest delta2 encoding.
va = va[:0]
v = 0
for i := 0; i < 6; i++ {
v += 3000 + int64(rand.NormFloat64()*100)
va = append(va, v)
}
for precisionBits := uint8(5); precisionBits < 65; precisionBits++ {
testMarshalUnmarshalInt64Array(t, va, precisionBits, MarshalTypeNearestDelta2)
}
}
func testMarshalUnmarshalInt64Array(t *testing.T, va []int64, precisionBits uint8, mtExpected MarshalType) {
t.Helper()
b, mt, firstValue := marshalInt64Array(nil, va, precisionBits)
if mt != mtExpected {
t.Fatalf("unexpected MarshalType for va=%d, precisionBits=%d: got %d; expecting %d", va, precisionBits, mt, mtExpected)
}
vaNew, err := unmarshalInt64Array(nil, b, mt, firstValue, len(va))
if err != nil {
t.Fatalf("unexpected error when unmarshaling va=%d, precisionBits=%d: %s", va, precisionBits, err)
}
if vaNew == nil && va != nil {
vaNew = []int64{}
}
switch mt {
case MarshalTypeZSTDNearestDelta, MarshalTypeZSTDNearestDelta2,
MarshalTypeNearestDelta, MarshalTypeNearestDelta2:
if err = checkPrecisionBits(va, vaNew, precisionBits); err != nil {
t.Fatalf("too low precision for vaNew: %s", err)
}
default:
if !reflect.DeepEqual(va, vaNew) {
t.Fatalf("unexpected vaNew for va=%d, precisionBits=%d; got\n%d; expecting\n%d", va, precisionBits, vaNew, va)
}
}
bPrefix := []byte{1, 2, 3}
bNew, mtNew, firstValueNew := marshalInt64Array(bPrefix, va, precisionBits)
if firstValueNew != firstValue {
t.Fatalf("unexpected firstValue for prefixed va=%d, precisionBits=%d; got %d; want %d", va, precisionBits, firstValueNew, firstValue)
}
if string(bNew[:len(bPrefix)]) != string(bPrefix) {
t.Fatalf("unexpected prefix for va=%d, precisionBits=%d; got\n%d; expecting\n%d", va, precisionBits, bNew[:len(bPrefix)], bPrefix)
}
if string(bNew[len(bPrefix):]) != string(b) {
t.Fatalf("unexpected b for prefixed va=%d, precisionBits=%d; got\n%d; expecting\n%d", va, precisionBits, bNew[len(bPrefix):], b)
}
if mtNew != mt {
t.Fatalf("unexpected mt for prefixed va=%d, precisionBits=%d; got %d; expecting %d", va, precisionBits, mtNew, mt)
}
vaPrefix := []int64{4, 5, 6, 8}
vaNew, err = unmarshalInt64Array(vaPrefix, b, mt, firstValue, len(va))
if err != nil {
t.Fatalf("unexpected error when unmarshaling prefixed va=%d, precisionBits=%d: %s", va, precisionBits, err)
}
if !reflect.DeepEqual(vaNew[:len(vaPrefix)], vaPrefix) {
t.Fatalf("unexpected prefix for va=%d, precisionBits=%d; got\n%d; expecting\n%d", va, precisionBits, vaNew[:len(vaPrefix)], vaPrefix)
}
if va == nil {
va = []int64{}
}
switch mt {
case MarshalTypeZSTDNearestDelta, MarshalTypeZSTDNearestDelta2,
MarshalTypeNearestDelta, MarshalTypeNearestDelta2:
if err = checkPrecisionBits(vaNew[len(vaPrefix):], va, precisionBits); err != nil {
t.Fatalf("too low precision for prefixed vaNew: %s", err)
}
default:
if !reflect.DeepEqual(vaNew[len(vaPrefix):], va) {
t.Fatalf("unexpected prefixed vaNew for va=%d, precisionBits=%d; got\n%d; expecting\n%d", va, precisionBits, vaNew[len(vaPrefix):], va)
}
}
}
func TestMarshalUnmarshalTimestamps(t *testing.T) {
const precisionBits = 3
var timestamps []int64
v := int64(0)
for i := 0; i < 8*1024; i++ {
v += 30e3 * int64(rand.NormFloat64()*5e2)
timestamps = append(timestamps, v)
}
result, mt, firstTimestamp := MarshalTimestamps(nil, timestamps, precisionBits)
timestamps2, err := UnmarshalTimestamps(nil, result, mt, firstTimestamp, len(timestamps))
if err != nil {
t.Fatalf("cannot unmarshal timestamps: %s", err)
}
if err := checkPrecisionBits(timestamps, timestamps2, precisionBits); err != nil {
t.Fatalf("too low precision for timestamps: %s", err)
}
}
func TestMarshalUnmarshalValues(t *testing.T) {
const precisionBits = 3
var values []int64
v := int64(0)
for i := 0; i < 8*1024; i++ {
v += int64(rand.NormFloat64() * 1e2)
values = append(values, v)
}
result, mt, firstValue := MarshalValues(nil, values, precisionBits)
values2, err := UnmarshalValues(nil, result, mt, firstValue, len(values))
if err != nil {
t.Fatalf("cannot unmarshal values: %s", err)
}
if err := checkPrecisionBits(values, values2, precisionBits); err != nil {
t.Fatalf("too low precision for values: %s", err)
}
}
func TestMarshalInt64ArraySize(t *testing.T) {
var va []int64
v := int64(rand.Float64() * 1e9)
for i := 0; i < 8*1024; i++ {
va = append(va, v)
v += 30e3 + int64(rand.NormFloat64()*1e3)
}
testMarshalInt64ArraySize(t, va, 1, 500, 1300)
testMarshalInt64ArraySize(t, va, 2, 600, 1400)
testMarshalInt64ArraySize(t, va, 3, 900, 1800)
testMarshalInt64ArraySize(t, va, 4, 1300, 2100)
testMarshalInt64ArraySize(t, va, 5, 2000, 3200)
testMarshalInt64ArraySize(t, va, 6, 3000, 4800)
testMarshalInt64ArraySize(t, va, 7, 4000, 6400)
testMarshalInt64ArraySize(t, va, 8, 6000, 8000)
testMarshalInt64ArraySize(t, va, 9, 7000, 8800)
testMarshalInt64ArraySize(t, va, 10, 8000, 10000)
}
func testMarshalInt64ArraySize(t *testing.T, va []int64, precisionBits uint8, minSizeExpected, maxSizeExpected int) {
t.Helper()
b, _, _ := marshalInt64Array(nil, va, precisionBits)
if len(b) > maxSizeExpected {
t.Fatalf("too big size for marshaled %d items with precisionBits %d: got %d; expecting %d", len(va), precisionBits, len(b), maxSizeExpected)
}
if len(b) < minSizeExpected {
t.Fatalf("too small size for marshaled %d items with precisionBits %d: got %d; epxecting %d", len(va), precisionBits, len(b), minSizeExpected)
}
}

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@ -0,0 +1,240 @@
package encoding
import (
"fmt"
"math/rand"
"sync/atomic"
"testing"
)
func BenchmarkMarshalGaugeArray(b *testing.B) {
b.ReportAllocs()
b.SetBytes(int64(len(benchGaugeArray)))
b.RunParallel(func(pb *testing.PB) {
var dst []byte
var mt MarshalType
for pb.Next() {
dst, mt, _ = marshalInt64Array(dst[:0], benchGaugeArray, 4)
if mt != MarshalTypeZSTDNearestDelta {
panic(fmt.Errorf("unexpected marshal type; got %d; expecting %d", mt, MarshalTypeZSTDNearestDelta))
}
atomic.AddUint64(&Sink, uint64(len(dst)))
}
})
}
var Sink uint64
func BenchmarkUnmarshalGaugeArray(b *testing.B) {
b.ReportAllocs()
b.SetBytes(int64(len(benchGaugeArray)))
b.RunParallel(func(pb *testing.PB) {
var dst []int64
var err error
for pb.Next() {
dst, err = unmarshalInt64Array(dst[:0], benchMarshaledGaugeArray, MarshalTypeZSTDNearestDelta, 0, len(benchGaugeArray))
if err != nil {
panic(fmt.Errorf("cannot unmarshal gauge array: %s", err))
}
atomic.AddUint64(&Sink, uint64(len(dst)))
}
})
}
var benchGaugeArray = func() []int64 {
a := make([]int64, 8*1024)
v := int64(0)
for i := 0; i < len(a); i++ {
v += int64(rand.NormFloat64() * 100)
a[i] = v
}
return a
}()
var benchMarshaledGaugeArray = func() []byte {
b, _, _ := marshalInt64Array(nil, benchGaugeArray, 4)
return b
}()
func BenchmarkMarshalDeltaConstArray(b *testing.B) {
b.ReportAllocs()
b.SetBytes(int64(len(benchDeltaConstArray)))
b.RunParallel(func(pb *testing.PB) {
var dst []byte
var mt MarshalType
for pb.Next() {
dst, mt, _ = marshalInt64Array(dst[:0], benchDeltaConstArray, 4)
if mt != MarshalTypeDeltaConst {
panic(fmt.Errorf("unexpected marshal type; got %d; expecting %d", mt, MarshalTypeDeltaConst))
}
atomic.AddUint64(&Sink, uint64(len(dst)))
}
})
}
func BenchmarkUnmarshalDeltaConstArray(b *testing.B) {
b.ReportAllocs()
b.SetBytes(int64(len(benchDeltaConstArray)))
b.RunParallel(func(pb *testing.PB) {
var dst []int64
var err error
for pb.Next() {
dst, err = unmarshalInt64Array(dst[:0], benchMarshaledDeltaConstArray, MarshalTypeDeltaConst, 0, len(benchDeltaConstArray))
if err != nil {
panic(fmt.Errorf("cannot unmarshal delta const array: %s", err))
}
atomic.AddUint64(&Sink, uint64(len(dst)))
}
})
}
var benchDeltaConstArray = func() []int64 {
a := make([]int64, 8*1024)
v := int64(0)
for i := 0; i < len(a); i++ {
v += 12345
a[i] = v
}
return a
}()
var benchMarshaledDeltaConstArray = func() []byte {
b, _, _ := marshalInt64Array(nil, benchDeltaConstArray, 4)
return b
}()
func BenchmarkMarshalConstArray(b *testing.B) {
b.ReportAllocs()
b.SetBytes(int64(len(benchConstArray)))
b.RunParallel(func(pb *testing.PB) {
var dst []byte
var mt MarshalType
for pb.Next() {
dst, mt, _ = marshalInt64Array(dst[:0], benchConstArray, 4)
if mt != MarshalTypeConst {
panic(fmt.Errorf("unexpected marshal type; got %d; expecting %d", mt, MarshalTypeConst))
}
atomic.AddUint64(&Sink, uint64(len(dst)))
}
})
}
func BenchmarkUnmarshalConstArray(b *testing.B) {
b.ReportAllocs()
b.SetBytes(int64(len(benchConstArray)))
b.RunParallel(func(pb *testing.PB) {
var dst []int64
var err error
for pb.Next() {
dst, err = unmarshalInt64Array(dst[:0], benchMarshaledConstArray, MarshalTypeConst, 0, len(benchConstArray))
if err != nil {
panic(fmt.Errorf("cannot unmarshal const array: %s", err))
}
atomic.AddUint64(&Sink, uint64(len(dst)))
}
})
}
var benchConstArray = func() []int64 {
a := make([]int64, 8*1024)
for i := 0; i < len(a); i++ {
a[i] = 1234567890
}
return a
}()
var benchMarshaledConstArray = func() []byte {
b, _, _ := marshalInt64Array(nil, benchConstArray, 4)
return b
}()
func BenchmarkMarshalZeroConstArray(b *testing.B) {
b.ReportAllocs()
b.SetBytes(int64(len(benchZeroConstArray)))
b.RunParallel(func(pb *testing.PB) {
var dst []byte
var mt MarshalType
for pb.Next() {
dst, mt, _ = marshalInt64Array(dst[:0], benchZeroConstArray, 4)
if mt != MarshalTypeConst {
panic(fmt.Errorf("unexpected marshal type; got %d; expecting %d", mt, MarshalTypeConst))
}
atomic.AddUint64(&Sink, uint64(len(dst)))
}
})
}
func BenchmarkUnmarshalZeroConstArray(b *testing.B) {
b.ReportAllocs()
b.SetBytes(int64(len(benchZeroConstArray)))
b.RunParallel(func(pb *testing.PB) {
var dst []int64
var err error
for pb.Next() {
dst, err = unmarshalInt64Array(dst[:0], benchMarshaledZeroConstArray, MarshalTypeConst, 0, len(benchZeroConstArray))
if err != nil {
panic(fmt.Errorf("cannot unmarshal zero const array: %s", err))
}
atomic.AddUint64(&Sink, uint64(len(dst)))
}
})
}
var benchZeroConstArray = make([]int64, 8*1024)
var benchMarshaledZeroConstArray = func() []byte {
b, _, _ := marshalInt64Array(nil, benchZeroConstArray, 4)
return b
}()
func BenchmarkMarshalInt64Array(b *testing.B) {
b.ReportAllocs()
b.SetBytes(int64(len(benchInt64Array)))
b.RunParallel(func(pb *testing.PB) {
var dst []byte
var mt MarshalType
for pb.Next() {
dst, mt, _ = marshalInt64Array(dst[:0], benchInt64Array, 4)
if mt != benchMarshalType {
panic(fmt.Errorf("unexpected marshal type; got %d; expecting %d", mt, benchMarshalType))
}
atomic.AddUint64(&Sink, uint64(len(dst)))
}
})
}
func BenchmarkUnmarshalInt64Array(b *testing.B) {
b.ReportAllocs()
b.SetBytes(int64(len(benchInt64Array)))
b.RunParallel(func(pb *testing.PB) {
var dst []int64
var err error
for pb.Next() {
dst, err = unmarshalInt64Array(dst[:0], benchMarshaledInt64Array, benchMarshalType, 0, len(benchInt64Array))
if err != nil {
panic(fmt.Errorf("cannot unmarshal int64 array: %s", err))
}
atomic.AddUint64(&Sink, uint64(len(dst)))
}
})
}
var benchMarshaledInt64Array = func() []byte {
b, _, _ := marshalInt64Array(nil, benchInt64Array, 4)
return b
}()
var benchMarshalType = func() MarshalType {
_, mt, _ := marshalInt64Array(nil, benchInt64Array, 4)
return mt
}()
var benchInt64Array = func() []int64 {
var a []int64
var v int64
for i := 0; i < 8*1024; i++ {
v += 30e3 + int64(rand.NormFloat64()*1e3)
a = append(a, v)
}
return a
}()

296
lib/encoding/int.go Normal file
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@ -0,0 +1,296 @@
package encoding
import (
"fmt"
"sync"
)
// MarshalUint16 appends marshaled v to dst and returns the result.
func MarshalUint16(dst []byte, u uint16) []byte {
return append(dst, byte(u>>8), byte(u))
}
// UnmarshalUint16 returns unmarshaled uint32 from src.
func UnmarshalUint16(src []byte) uint16 {
_ = src[1]
return uint16(src[0])<<8 | uint16(src[1])
}
// MarshalUint32 appends marshaled v to dst and returns the result.
func MarshalUint32(dst []byte, u uint32) []byte {
return append(dst, byte(u>>24), byte(u>>16), byte(u>>8), byte(u))
}
// UnmarshalUint32 returns unmarshaled uint32 from src.
func UnmarshalUint32(src []byte) uint32 {
_ = src[3]
return uint32(src[0])<<24 | uint32(src[1])<<16 | uint32(src[2])<<8 | uint32(src[3])
}
// MarshalUint64 appends marshaled v to dst and returns the result.
func MarshalUint64(dst []byte, u uint64) []byte {
return append(dst, byte(u>>56), byte(u>>48), byte(u>>40), byte(u>>32), byte(u>>24), byte(u>>16), byte(u>>8), byte(u))
}
// UnmarshalUint64 returns unmarshaled uint64 from src.
func UnmarshalUint64(src []byte) uint64 {
_ = src[7]
return uint64(src[0])<<56 | uint64(src[1])<<48 | uint64(src[2])<<40 | uint64(src[3])<<32 | uint64(src[4])<<24 | uint64(src[5])<<16 | uint64(src[6])<<8 | uint64(src[7])
}
// MarshalInt16 appends marshaled v to dst and returns the result.
func MarshalInt16(dst []byte, v int16) []byte {
// Such encoding for negative v must improve compression.
v = (v << 1) ^ (v >> 15) // zig-zag encoding without branching.
u := uint16(v)
return append(dst, byte(u>>8), byte(u))
}
// UnmarshalInt16 returns unmarshaled int16 from src.
func UnmarshalInt16(src []byte) int16 {
_ = src[1]
u := uint16(src[0])<<8 | uint16(src[1])
v := int16(u>>1) ^ (int16(u<<15) >> 15) // zig-zag decoding without branching.
return v
}
// MarshalInt64 appends marshaled v to dst and returns the result.
func MarshalInt64(dst []byte, v int64) []byte {
// Such encoding for negative v must improve compression.
v = (v << 1) ^ (v >> 63) // zig-zag encoding without branching.
u := uint64(v)
return append(dst, byte(u>>56), byte(u>>48), byte(u>>40), byte(u>>32), byte(u>>24), byte(u>>16), byte(u>>8), byte(u))
}
// UnmarshalInt64 returns unmarshaled int64 from src.
func UnmarshalInt64(src []byte) int64 {
_ = src[7]
u := uint64(src[0])<<56 | uint64(src[1])<<48 | uint64(src[2])<<40 | uint64(src[3])<<32 | uint64(src[4])<<24 | uint64(src[5])<<16 | uint64(src[6])<<8 | uint64(src[7])
v := int64(u>>1) ^ (int64(u<<63) >> 63) // zig-zag decoding without branching.
return v
}
// MarshalVarInt64 appends marshalsed v to dst and returns the result.
func MarshalVarInt64(dst []byte, v int64) []byte {
var tmp [1]int64
tmp[0] = v
return MarshalVarInt64s(dst, tmp[:])
}
// MarshalVarInt64s appends marshaled vs to dst and returns the result.
func MarshalVarInt64s(dst []byte, vs []int64) []byte {
for _, v := range vs {
if v < 0x40 && v > -0x40 {
// Fast path
c := int8(v)
v := (c << 1) ^ (c >> 7) // zig-zag encoding without branching.
dst = append(dst, byte(v))
continue
}
v = (v << 1) ^ (v >> 63) // zig-zag encoding without branching.
u := uint64(v)
for u > 0x7f {
dst = append(dst, 0x80|byte(u))
u >>= 7
}
dst = append(dst, byte(u))
}
return dst
}
// UnmarshalVarInt64 returns unmarshaled int64 from src and returns
// the remaining tail from src.
func UnmarshalVarInt64(src []byte) ([]byte, int64, error) {
var tmp [1]int64
tail, err := UnmarshalVarInt64s(tmp[:], src)
return tail, tmp[0], err
}
// UnmarshalVarInt64s unmarshals len(dst) int64 values from src to dst
// and returns the remaining tail from src.
func UnmarshalVarInt64s(dst []int64, src []byte) ([]byte, error) {
idx := uint(0)
for i := range dst {
if idx >= uint(len(src)) {
return nil, fmt.Errorf("cannot unmarshal varint from empty data")
}
c := src[idx]
idx++
if c < 0x80 {
// Fast path
v := int8(c>>1) ^ (int8(c<<7) >> 7) // zig-zag decoding without branching.
dst[i] = int64(v)
continue
}
// Slow path
u := uint64(c & 0x7f)
startIdx := idx - 1
shift := uint8(0)
for c >= 0x80 {
if idx >= uint(len(src)) {
return nil, fmt.Errorf("unexpected end of encoded varint at byte %d; src=%x", idx-startIdx, src[startIdx:])
}
if idx-startIdx > 9 {
return src[idx:], fmt.Errorf("too long encoded varint; the maximum allowed length is 10 bytes; got %d bytes; src=%x",
(idx-startIdx)+1, src[startIdx:])
}
c = src[idx]
idx++
shift += 7
u |= uint64(c&0x7f) << shift
}
v := int64(u>>1) ^ (int64(u<<63) >> 63) // zig-zag decoding without branching.
dst[i] = v
}
return src[idx:], nil
}
// MarshalVarUint64 appends marshaled u to dst and returns the result.
func MarshalVarUint64(dst []byte, u uint64) []byte {
var tmp [1]uint64
tmp[0] = u
return MarshalVarUint64s(dst, tmp[:])
}
// MarshalVarUint64s appends marshaled us to dst and returns the result.
func MarshalVarUint64s(dst []byte, us []uint64) []byte {
for _, u := range us {
if u < 0x80 {
// Fast path
dst = append(dst, byte(u))
continue
}
for u > 0x7f {
dst = append(dst, 0x80|byte(u))
u >>= 7
}
dst = append(dst, byte(u))
}
return dst
}
// UnmarshalVarUint64 returns unmarshaled uint64 from src and returns
// the remaining tail from src.
func UnmarshalVarUint64(src []byte) ([]byte, uint64, error) {
var tmp [1]uint64
tail, err := UnmarshalVarUint64s(tmp[:], src)
return tail, tmp[0], err
}
// UnmarshalVarUint64s unmarshals len(dst) uint64 values from src to dst
// and returns the remaining tail from src.
func UnmarshalVarUint64s(dst []uint64, src []byte) ([]byte, error) {
idx := uint(0)
for i := range dst {
if idx >= uint(len(src)) {
return nil, fmt.Errorf("cannot unmarshal varuint from empty data")
}
c := src[idx]
idx++
if c < 0x80 {
// Fast path
dst[i] = uint64(c)
continue
}
// Slow path
u := uint64(c & 0x7f)
startIdx := idx - 1
shift := uint8(0)
for c >= 0x80 {
if idx >= uint(len(src)) {
return nil, fmt.Errorf("unexpected end of encoded varint at byte %d; src=%x", idx-startIdx, src[startIdx:])
}
if idx-startIdx > 9 {
return src[idx:], fmt.Errorf("too long encoded varint; the maximum allowed length is 10 bytes; got %d bytes; src=%x",
(idx-startIdx)+1, src[startIdx:])
}
c = src[idx]
idx++
shift += 7
u |= uint64(c&0x7f) << shift
}
dst[i] = u
}
return src[idx:], nil
}
// MarshalBytes appends marshaled b to dst and returns the result.
func MarshalBytes(dst, b []byte) []byte {
dst = MarshalVarUint64(dst, uint64(len(b)))
dst = append(dst, b...)
return dst
}
// UnmarshalBytes returns unmarshaled bytes from src.
func UnmarshalBytes(src []byte) ([]byte, []byte, error) {
tail, n, err := UnmarshalVarUint64(src)
if err != nil {
return nil, nil, fmt.Errorf("cannot unmarshal string size: %d", err)
}
src = tail
if uint64(len(src)) < n {
return nil, nil, fmt.Errorf("src is too short for reading string with size %d; len(src)=%d", n, len(src))
}
return src[n:], src[:n], nil
}
// GetInt64s returns an int64 slice with the given size.
// The slice contents isn't initialized - it may contain garbage.
func GetInt64s(size int) *Int64s {
v := int64sPool.Get()
if v == nil {
return &Int64s{
A: make([]int64, size),
}
}
is := v.(*Int64s)
if n := size - cap(is.A); n > 0 {
is.A = append(is.A[:cap(is.A)], make([]int64, n)...)
}
is.A = is.A[:size]
return is
}
// PutInt64s returns is to the pool.
func PutInt64s(is *Int64s) {
int64sPool.Put(is)
}
// Int64s holds an int64 slice
type Int64s struct {
A []int64
}
var int64sPool sync.Pool
// GetUint64s returns an uint64 slice with the given size.
// The slice contents isn't initialized - it may contain garbage.
func GetUint64s(size int) *Uint64s {
v := uint64sPool.Get()
if v == nil {
return &Uint64s{
A: make([]uint64, size),
}
}
is := v.(*Uint64s)
if n := size - cap(is.A); n > 0 {
is.A = append(is.A[:cap(is.A)], make([]uint64, n)...)
}
is.A = is.A[:size]
return is
}
// PutUint64s returns is to the pool.
func PutUint64s(is *Uint64s) {
uint64sPool.Put(is)
}
// Uint64s holds an uint64 slice
type Uint64s struct {
A []uint64
}
var uint64sPool sync.Pool

315
lib/encoding/int_test.go Normal file
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@ -0,0 +1,315 @@
package encoding
import (
"bytes"
"fmt"
"testing"
)
func TestMarshalUnmarshalUint16(t *testing.T) {
testMarshalUnmarshalUint16(t, 0)
testMarshalUnmarshalUint16(t, 1)
testMarshalUnmarshalUint16(t, (1<<16)-1)
testMarshalUnmarshalUint16(t, (1<<15)+1)
testMarshalUnmarshalUint16(t, (1<<15)-1)
testMarshalUnmarshalUint16(t, 1<<15)
for i := uint16(0); i < 1e4; i++ {
testMarshalUnmarshalUint16(t, i)
}
}
func testMarshalUnmarshalUint16(t *testing.T, u uint16) {
t.Helper()
b := MarshalUint16(nil, u)
if len(b) != 2 {
t.Fatalf("unexpected b length: %d; expecting %d", len(b), 2)
}
uNew := UnmarshalUint16(b)
if uNew != u {
t.Fatalf("unexpected uNew from b=%x; got %d; expecting %d", b, uNew, u)
}
prefix := []byte{1, 2, 3}
b1 := MarshalUint16(prefix, u)
if string(b1[:len(prefix)]) != string(prefix) {
t.Fatalf("unexpected prefix for u=%d; got\n%x; expecting\n%x", u, b1[:len(prefix)], prefix)
}
if string(b1[len(prefix):]) != string(b) {
t.Fatalf("unexpected b for u=%d; got\n%x; expecting\n%x", u, b1[len(prefix):], b)
}
}
func TestMarshalUnmarshalUint32(t *testing.T) {
testMarshalUnmarshalUint32(t, 0)
testMarshalUnmarshalUint32(t, 1)
testMarshalUnmarshalUint32(t, (1<<32)-1)
testMarshalUnmarshalUint32(t, (1<<31)+1)
testMarshalUnmarshalUint32(t, (1<<31)-1)
testMarshalUnmarshalUint32(t, 1<<31)
for i := uint32(0); i < 1e4; i++ {
testMarshalUnmarshalUint32(t, i)
}
}
func testMarshalUnmarshalUint32(t *testing.T, u uint32) {
t.Helper()
b := MarshalUint32(nil, u)
if len(b) != 4 {
t.Fatalf("unexpected b length: %d; expecting %d", len(b), 4)
}
uNew := UnmarshalUint32(b)
if uNew != u {
t.Fatalf("unexpected uNew from b=%x; got %d; expecting %d", b, uNew, u)
}
prefix := []byte{1, 2, 3}
b1 := MarshalUint32(prefix, u)
if string(b1[:len(prefix)]) != string(prefix) {
t.Fatalf("unexpected prefix for u=%d; got\n%x; expecting\n%x", u, b1[:len(prefix)], prefix)
}
if string(b1[len(prefix):]) != string(b) {
t.Fatalf("unexpected b for u=%d; got\n%x; expecting\n%x", u, b1[len(prefix):], b)
}
}
func TestMarshalUnmarshalUint64(t *testing.T) {
testMarshalUnmarshalUint64(t, 0)
testMarshalUnmarshalUint64(t, 1)
testMarshalUnmarshalUint64(t, (1<<64)-1)
testMarshalUnmarshalUint64(t, (1<<63)+1)
testMarshalUnmarshalUint64(t, (1<<63)-1)
testMarshalUnmarshalUint64(t, 1<<63)
for i := uint64(0); i < 1e4; i++ {
testMarshalUnmarshalUint64(t, i)
}
}
func testMarshalUnmarshalUint64(t *testing.T, u uint64) {
t.Helper()
b := MarshalUint64(nil, u)
if len(b) != 8 {
t.Fatalf("unexpected b length: %d; expecting %d", len(b), 8)
}
uNew := UnmarshalUint64(b)
if uNew != u {
t.Fatalf("unexpected uNew from b=%x; got %d; expecting %d", b, uNew, u)
}
prefix := []byte{1, 2, 3}
b1 := MarshalUint64(prefix, u)
if string(b1[:len(prefix)]) != string(prefix) {
t.Fatalf("unexpected prefix for u=%d; got\n%x; expecting\n%x", u, b1[:len(prefix)], prefix)
}
if string(b1[len(prefix):]) != string(b) {
t.Fatalf("unexpected b for u=%d; got\n%x; expecting\n%x", u, b1[len(prefix):], b)
}
}
func TestMarshalUnmarshalInt16(t *testing.T) {
testMarshalUnmarshalInt16(t, 0)
testMarshalUnmarshalInt16(t, 1)
testMarshalUnmarshalInt16(t, -1)
testMarshalUnmarshalInt16(t, -1<<15)
testMarshalUnmarshalInt16(t, (-1<<15)+1)
testMarshalUnmarshalInt16(t, (1<<15)-1)
for i := int16(0); i < 1e4; i++ {
testMarshalUnmarshalInt16(t, i)
testMarshalUnmarshalInt16(t, -i)
}
}
func testMarshalUnmarshalInt16(t *testing.T, v int16) {
t.Helper()
b := MarshalInt16(nil, v)
if len(b) != 2 {
t.Fatalf("unexpected b length: %d; expecting %d", len(b), 2)
}
vNew := UnmarshalInt16(b)
if vNew != v {
t.Fatalf("unexpected vNew from b=%x; got %d; expecting %d", b, vNew, v)
}
prefix := []byte{1, 2, 3}
b1 := MarshalInt16(prefix, v)
if string(b1[:len(prefix)]) != string(prefix) {
t.Fatalf("unexpected prefix for v=%d; got\n%x; expecting\n%x", v, b1[:len(prefix)], prefix)
}
if string(b1[len(prefix):]) != string(b) {
t.Fatalf("unexpected b for v=%d; got\n%x; expecting\n%x", v, b1[len(prefix):], b)
}
}
func TestMarshalUnmarshalInt64(t *testing.T) {
testMarshalUnmarshalInt64(t, 0)
testMarshalUnmarshalInt64(t, 1)
testMarshalUnmarshalInt64(t, -1)
testMarshalUnmarshalInt64(t, -1<<63)
testMarshalUnmarshalInt64(t, (-1<<63)+1)
testMarshalUnmarshalInt64(t, (1<<63)-1)
for i := int64(0); i < 1e4; i++ {
testMarshalUnmarshalInt64(t, i)
testMarshalUnmarshalInt64(t, -i)
}
}
func testMarshalUnmarshalInt64(t *testing.T, v int64) {
t.Helper()
b := MarshalInt64(nil, v)
if len(b) != 8 {
t.Fatalf("unexpected b length: %d; expecting %d", len(b), 8)
}
vNew := UnmarshalInt64(b)
if vNew != v {
t.Fatalf("unexpected vNew from b=%x; got %d; expecting %d", b, vNew, v)
}
prefix := []byte{1, 2, 3}
b1 := MarshalInt64(prefix, v)
if string(b1[:len(prefix)]) != string(prefix) {
t.Fatalf("unexpected prefix for v=%d; got\n%x; expecting\n%x", v, b1[:len(prefix)], prefix)
}
if string(b1[len(prefix):]) != string(b) {
t.Fatalf("unexpected b for v=%d; got\n%x; expecting\n%x", v, b1[len(prefix):], b)
}
}
func TestMarshalUnmarshalVarInt64(t *testing.T) {
testMarshalUnmarshalVarInt64(t, 0)
testMarshalUnmarshalVarInt64(t, 1)
testMarshalUnmarshalVarInt64(t, -1)
testMarshalUnmarshalVarInt64(t, -1<<63)
testMarshalUnmarshalVarInt64(t, (-1<<63)+1)
testMarshalUnmarshalVarInt64(t, (1<<63)-1)
for i := int64(0); i < 1e4; i++ {
testMarshalUnmarshalVarInt64(t, i)
testMarshalUnmarshalVarInt64(t, -i)
testMarshalUnmarshalVarInt64(t, i<<8)
testMarshalUnmarshalVarInt64(t, -i<<8)
testMarshalUnmarshalVarInt64(t, i<<16)
testMarshalUnmarshalVarInt64(t, -i<<16)
testMarshalUnmarshalVarInt64(t, i<<23)
testMarshalUnmarshalVarInt64(t, -i<<23)
testMarshalUnmarshalVarInt64(t, i<<33)
testMarshalUnmarshalVarInt64(t, -i<<33)
testMarshalUnmarshalVarInt64(t, i<<43)
testMarshalUnmarshalVarInt64(t, -i<<43)
testMarshalUnmarshalVarInt64(t, i<<53)
testMarshalUnmarshalVarInt64(t, -i<<53)
}
}
func testMarshalUnmarshalVarInt64(t *testing.T, v int64) {
t.Helper()
b := MarshalVarInt64(nil, v)
tail, vNew, err := UnmarshalVarInt64(b)
if err != nil {
t.Fatalf("unexpected error when unmarshaling v=%d from b=%x: %s", v, b, err)
}
if vNew != v {
t.Fatalf("unexpected vNew from b=%x; got %d; expecting %d", b, vNew, v)
}
if len(tail) > 0 {
t.Fatalf("unexpected data left after unmarshaling v=%d from b=%x: %x", v, b, tail)
}
prefix := []byte{1, 2, 3}
b1 := MarshalVarInt64(prefix, v)
if string(b1[:len(prefix)]) != string(prefix) {
t.Fatalf("unexpected prefix for v=%d; got\n%x; expecting\n%x", v, b1[:len(prefix)], prefix)
}
if string(b1[len(prefix):]) != string(b) {
t.Fatalf("unexpected b for v=%d; got\n%x; expecting\n%x", v, b1[len(prefix):], b)
}
}
func TestMarshalUnmarshalVarUint64(t *testing.T) {
testMarshalUnmarshalVarUint64(t, 0)
testMarshalUnmarshalVarUint64(t, 1)
testMarshalUnmarshalVarUint64(t, (1<<63)-1)
for i := uint64(0); i < 1024; i++ {
testMarshalUnmarshalVarUint64(t, i)
testMarshalUnmarshalVarUint64(t, i<<8)
testMarshalUnmarshalVarUint64(t, i<<16)
testMarshalUnmarshalVarUint64(t, i<<23)
testMarshalUnmarshalVarUint64(t, i<<33)
testMarshalUnmarshalVarUint64(t, i<<41)
testMarshalUnmarshalVarUint64(t, i<<49)
testMarshalUnmarshalVarUint64(t, i<<54)
}
}
func testMarshalUnmarshalVarUint64(t *testing.T, u uint64) {
t.Helper()
b := MarshalVarUint64(nil, u)
tail, uNew, err := UnmarshalVarUint64(b)
if err != nil {
t.Fatalf("unexpected error when unmarshaling u=%d from b=%x: %s", u, b, err)
}
if uNew != u {
t.Fatalf("unexpected uNew from b=%x; got %d; expecting %d", b, uNew, u)
}
if len(tail) > 0 {
t.Fatalf("unexpected data left after unmarshaling u=%d from b=%x: %x", u, b, tail)
}
prefix := []byte{1, 2, 3}
b1 := MarshalVarUint64(prefix, u)
if string(b1[:len(prefix)]) != string(prefix) {
t.Fatalf("unexpected prefix for u=%d; got\n%x; expecting\n%x", u, b1[:len(prefix)], prefix)
}
if string(b1[len(prefix):]) != string(b) {
t.Fatalf("unexpected b for u=%d; got\n%x; expecting\n%x", u, b1[len(prefix):], b)
}
}
func TestMarshalUnmarshalBytes(t *testing.T) {
testMarshalUnmarshalBytes(t, "")
testMarshalUnmarshalBytes(t, "x")
testMarshalUnmarshalBytes(t, "xy")
var bb bytes.Buffer
for i := 0; i < 100; i++ {
fmt.Fprintf(&bb, " %d ", i)
s := bb.String()
testMarshalUnmarshalBytes(t, s)
}
}
func testMarshalUnmarshalBytes(t *testing.T, s string) {
t.Helper()
b := MarshalBytes(nil, []byte(s))
tail, bNew, err := UnmarshalBytes(b)
if err != nil {
t.Fatalf("unexpected error when unmarshaling s=%q from b=%x: %s", s, b, err)
}
if string(bNew) != s {
t.Fatalf("unexpected sNew from b=%x; got %q; expecting %q", b, bNew, s)
}
if len(tail) > 0 {
t.Fatalf("unexepcted data left after unmarshaling s=%q from b=%x: %x", s, b, tail)
}
prefix := []byte("abcde")
b1 := MarshalBytes(prefix, []byte(s))
if string(b1[:len(prefix)]) != string(prefix) {
t.Fatalf("unexpected prefix for s=%q; got\n%x; expecting\n%x", s, b1[:len(prefix)], prefix)
}
if string(b1[len(prefix):]) != string(b) {
t.Fatalf("unexpected b for s=%q; got\n%x; expecting\n%x", s, b1[len(prefix):], b)
}
}

Some files were not shown because too many files have changed in this diff Show More