Also tried to make it catch "Authorisation" in the future, fixed a lot
of other misspells along the way, but didn't make it catch
"Authorisation" anyway.
- Fix misspelled "Authorization" header name
- Fix misspelled "organization"
- Fix more misspells
…pair
`alert_relabel_configs` in [notifier
config](https://docs.victoriametrics.com/vmalert/#notifier-configuration-file)
can drop alert labels when used to filter different tenant alert message
to different notifier.
alertmanager would report error like `msg="Failed to validate alerts"
err="at least one label pair required"` in this case, but the rest of
the alerts inside one request would still be valid in alertmanager, so
it's not severe.
(cherry picked from commit ae4d376e41)
Previously the query could return incorrect results, since the query timestamp was updated with every Query.Clone() call
during iterative search for the time range with up to limit=N rows.
While at it, optimize queries, which find low number of matching logs, while spend a lot of CPU time for searching
across big number of logs. The optimization reduces the upper bound of the time range to search if the current time range
contains zero matching rows.
Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/6785
### Describe Your Changes
Add storage metrics that count records that failed to insert:
- `RowsReceivedTotal`: the number of records that have been received by
the storage from the clients
- `RowsAddedTotal`: the number of records that have actually been
persisted. This value must be equal to `RowsReceivedTotal` if all the
records have been valid ones. But it will be smaller otherwise. The
values of the metrics below should provide the insight of why some
records hasn't been added
- `NaNValueRows`: the number of records whose value was `NaN`
- `StaleNaNValueRows`: the number of records whose value was `Stale NaN`
- `InvalidRawMetricNames`: the number of records whose raw metric name
has failed to unmarshal.
The following metrics existed before this PR and are listed here for
completeness:
- `TooSmallTimestampRows`: the number of records whose timestamp is
negative or is older than retention period
- `TooBigTimestampRows`: the number of records whose timestamp is too
far in the future.
- `HourlySeriesLimitRowsDropped`: the number of records that have not
been added because the hourly series limit has been exceeded.
- `DailySeriesLimitRowsDropped`: the number of records that have not
been added because the daily series limit has been exceeded.
---
Signed-off-by: Artem Fetishev <wwctrsrx@gmail.com>
Commit adds the following changes:
* Adds support of OpenTelemetry logs for Victoria Logs with protobuf encoded messages
* json encoding is not supported for the following reasons:
- It brings a lot of fragile code, which works inefficiently.
- json encoding is impossible to use with language SDK.
* splits metrics and logs structures at lib/protoparser/opentelemetry/pb package.
* adds docs with examples for opentelemetry logs.
---
Related issue: https://github.com/VictoriaMetrics/VictoriaMetrics/issues/4839
Co-authored-by: AndrewChubatiuk <andrew.chubatiuk@gmail.com>
Co-authored-by: f41gh7 <nik@victoriametrics.com>
* updates change log
* adds VL-Debug http header
* updates doc
* extracts only the first value of http headers for VL-Stream-Fields and VL-Ignore-Fields.
It makes behaviour the same as Query string args. And allows to easily configure client applications.
Since most of the client collectors don't support multi value headers.
Signed-off-by: f41gh7 <nik@victoriametrics.com>
* Many collectors don't support forwarding url query params to the remote system. It makes impossible to define stream fields for it. Workaround with proxy between VictoriaLogs and log shipper is too complicated solution.
* This commit adds the following changes:
* Adds fallback to to headers params, if query param is empty for:
_msg_field -> VL-Msg-Field
_stream_fields -> VL-Stream-Fields
_ignore_fields -> VL-Ignore-Fields
_time_field -> VL-Time-Field
* removes deprecations from victorialogs compose files, added more
output format examples for logstash, telegraf, fluent-bit
related issue: https://github.com/VictoriaMetrics/VictoriaMetrics/issues/5310
Recent versions of `docker build` started generating the InvalidDefaultArgInFrom warning if Dockerfile contains
an ARG without default value. While this warning doesn't affect building Docker packages via `make package-*` commands,
it is better suppressing the warning, so it doesn't clutter `make package-*` output with the noise,
which can hide real issues in the future.
…specifying `-streamAggr.dedupInterval` or
`-remoteWrite.streamAggr.dedupInterval` command-line flag
[The
documentation](https://docs.victoriametrics.com/stream-aggregation/)
contains conflicting descriptions regarding deduplication for
non-matched series when `-remoteWrite.streamAggr.config` and / or
`-streamAggr.config` are set:
1. Statement below says **all the received data** is deduplicated:
>[vmagent](https://docs.victoriametrics.com/vmagent/) supports
relabeling, deduplication and stream aggregation for all the received
data, scraped or pushed. Then, the collected data will be forwarded to
specified -remoteWrite.url destinations. The data processing order is
the following:
>1. all the received data is relabeled according to the specified
[-remoteWrite.relabelConfig](https://docs.victoriametrics.com/vmagent/#relabeling)
(if it is set)
>2. all the received data is deduplicated according to specified
[-streamAggr.dedupInterval](https://docs.victoriametrics.com/stream-aggregation/#deduplication)
(if it is set to duration bigger than 0)
2. Another statement says the deduplication is performed individually
for the **matching samples**
>The de-deduplication is performed after applying
[relabeling](https://docs.victoriametrics.com/vmagent/#relabeling) and
before performing the aggregation. If the -remoteWrite.streamAggr.config
and / or -streamAggr.config is set, then the de-duplication is performed
individually per each [stream aggregation
config](https://docs.victoriametrics.com/stream-aggregation/#stream-aggregation-config)
for the matching samples after applying
[input_relabel_configs](https://docs.victoriametrics.com/stream-aggregation/#relabeling).
Considering the following deduplication use cases:
1. To apply deduplication(globally or for specific remoteWrite
destination) for all the received data, scraped or pushed
--- using `-streamAggr.dedupInterval` or
`-remoteWrite.streamAggr.dedupInterval`.
2. To deduplicate and aggregate metrics that match the rule `match`
filters
--- using `-remoteWrite.streamAggr.config` and specifiying
`dedup_interval` option in [stream aggregation
config](https://docs.victoriametrics.com/stream-aggregation/#stream-aggregation-config).
3. To deduplicate all the received data while having `streamAggr.config`
for some metrics
--- no way for a single vmagent now, need to set up two level vmagents
This PR implements case3.
---------
Co-authored-by: Roman Khavronenko <roman@victoriametrics.com>
(cherry picked from commit d523015f27)
add command-line flag `-search.inmemoryBufSizeBytes` for configuring size of in-memory buffers used by vmselect during processing of vmstorage responses. A new summary metric `vm_tmp_blocks_inmemory_file_size_bytes` is exposed to show the size of the buffer during requests processing.
The new setting can be used by experienced users to adjust memory usage by vmselect when processing
many small read requests. Instead of allocating 4MB buffers each time, vmselect can be instructed to lower
the buffer size via `-search.inmemoryBufSizeBytes`. To make the decision whether this flag needs to be adjusted
users can consult with `vm_tmp_blocks_inmemory_file_size_bytes` which shows the actual size of buffers used
during query processing.
----------
The detailed information of this PR can be found in
https://github.com/VictoriaMetrics/VictoriaMetrics/pull/6851
### Checklist
The following checks are **mandatory**:
- [ ] My change adheres [VictoriaMetrics contributing
guidelines](https://docs.victoriametrics.com/contributing/).
---------
Co-authored-by: hagen1778 <roman@victoriametrics.com>
## Describe Your Changes
Add RemoteWrite Retry Controls
This PR introduces two new flags to the remote write functionality:
- remoteWrite.retryMinInterval
- remoteWrite.retryMaxTime
These flags provide finer control over the retry behavior for
remoteWrite operations, allowing users to customize the minimum interval
between retries and the maximum duration for retry attempts.
Fixes#5486.
## Checklist
- [x] The following checks are mandatory:
My change adheres [VictoriaMetrics contributing
guidelines](https://docs.victoriametrics.com/contributing/).
---------
Signed-off-by: Yury Akudovich <ya@matterlabs.dev>
Co-authored-by: hagen1778 <roman@victoriametrics.com>
(cherry picked from commit d0f5a9d77a)
This change is made in attempt to reduce memory usage by vmalert when
parsing big instant responses from VM/Prometheus.
In
a5c427bac4
vmalert switched from std json lib to fastjson lib in order to reduce
amount of allocations, as according to highloaded profiles of vmalert
the CPU is mostly spent on GC.
But switching to fastjson resulted into excessive memory usage for cases
when vmalert has to parse long json lines, which usually happens when
instant response contains many `metric` objects.
In this change we do a mixed parsing:
1. Slice of `metric` objects is parsed with std lib to keep mem low
2. Each `metric` object is parsed with fastjson to reduce allocs
The benchmark results are the following:
```
pkg: github.com/VictoriaMetrics/VictoriaMetrics/app/vmalert/datasource
BenchmarkParsePrometheusResponse/Instant_std+fastjson-10 1760 668959 ns/op 280147 B/op 5781 allocs/op
MBs allocated at heap: 493.078392
mallocs: 18655472
BenchmarkParsePrometheusResponse/Instant_fastjson-10 6109 198258 ns/op 172839 B/op 5548 allocs/op
MBs allocated at heap: 1056.384464
mallocs: 34457184
BenchmarkParsePrometheusResponse/Instant_std-10 1287 950987 ns/op 451677 B/op 9619 allocs/op
MBs allocated at heap: 580.802976
mallocs: 13351636
```
The benchmark function code with mem measurement is available here
https://gist.github.com/hagen1778/b9c3ca7f8ca7d6b21aec9777112c5810
The benchmark contains 3 results:
1. Instant_std+fastjson is the implementation in this change
2. Instant_fastjson-10 is the implementation from
a5c427bac4
3. BenchmarkParsePrometheusResponse/Instant_std-10 is implementation
before
a5c427bac4
According to these results, this new implementation is slower than
previous, but faster than before switching to fastjson. It also has
lower number of allocations and roughly the same memory allocation on
heap with GC turned off.
---------
Other changes:
1. rm BenchmarkMetrics as it doesn't measure anything
2. simplify BenchmarkParsePrometheusResponse into
BenchmarkPromInstantUnmarshal
### Describe Your Changes
Please provide a brief description of the changes you made. Be as
specific as possible to help others understand the purpose and impact of
your modifications.
### Checklist
The following checks are **mandatory**:
- [ ] My change adheres [VictoriaMetrics contributing
guidelines](https://docs.victoriametrics.com/contributing/).
Signed-off-by: hagen1778 <roman@victoriametrics.com>
- fix TS lint
- anomaly: remove /vmui
- anomaly: minor inspections fix
- docs: fix broken links to headings
### Describe Your Changes
Initially vmanomaly opened with `/vmui` in serverUrl, remove it.
(cherry picked from commit 535a9ed059)
to allow configuring additional headers in each request to the
corresponding notifier.
Other flags like `-datasource.headers`, `-remoteWrite.headers` already
use `^^` as delimiter, it's consistent to use it in `-notifier.headers`
as well.
related https://github.com/VictoriaMetrics/VictoriaMetrics/issues/3260
vmalert can integrate with alertmanager that supports multi-tenant by
adding tenantID header`X-Scope-OrgID` in requests.
In multitenancy, vmalert can also filter alerts which send to different
notifier addresses(or with different header settings) using
`alert_relabel_configs`.
Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/3260
---------
Signed-off-by: hagen1778 <roman@victoriametrics.com>
Co-authored-by: hagen1778 <roman@victoriametrics.com>
(cherry picked from commit 0f1ec33892)
Production workload shows that it's useful optimisation.
Channel based objects pool allows to handle irregural data ingestion
requests and make memory allocations more smooth.
It's improves sync.Pool efficiency, since objects from sync.Pool removed
after 2 GC cycles. With GOGC=30 value, GC runs significantly more often.
https://github.com/VictoriaMetrics/VictoriaMetrics/issues/6733
### Checklist
The following checks are **mandatory**:
- [ ] My change adheres [VictoriaMetrics contributing
guidelines](https://docs.victoriametrics.com/contributing/).
---------
Signed-off-by: f41gh7 <nik@victoriametrics.com>
Signed-off-by: hagen1778 <roman@victoriametrics.com>
Co-authored-by: hagen1778 <roman@victoriametrics.com>
Describe Your Changes
When I use usePromCompatibleNaming with vmagent to process data that
needs to be formatted from different sources such as InfluxDB, I find
that it doesn’t work
However, it works in vminsert. I found that vminsert uses the
HasRelabeling method to determine whether to relabel.
```go
func HasRelabeling() bool {
pcs := pcsGlobal.Load()
return pcs.Len() > 0 || *usePromCompatibleNaming
}
```
in vmagent, the decision to relabel is determined only by
pcsGlobal.Len() > 0. However, in the applyRelabeling method, the
usePromCompatibleNaming logic is also used to determine whether to
relabel in the error handling.
```go
func (rctx *relabelCtx) applyRelabeling(tss []prompbmarshal.TimeSeries, pcs *promrelabel.ParsedConfigs) []prompbmarshal.TimeSeries {
if pcs.Len() == 0 && !*usePromCompatibleNaming {
// Nothing to change.
return tss
}
```
So I think that the logic for determining whether to relabel in vmagent
is not as expected.
Checklist
The following checks are mandatory:
[✅]My change adheres [VictoriaMetrics contributing
guidelines](https://docs.victoriametrics.com/contributing/).
---------
Co-authored-by: Roman Khavronenko <hagen1778@gmail.com>
(cherry picked from commit d134a310f3)
vmselect will create `./tmp` dir under `cacheDataPath`. If
`cacheDataPath` is set to `/`, vmselect will use `/tmp`.
content under `/tmp` dir might be auto removed based on the OS
behaviour. See:
https://github.com/VictoriaMetrics/VictoriaMetrics/issues/5770
- [x] My change adheres [VictoriaMetrics contributing
guidelines](https://docs.victoriametrics.com/contributing/).
---------
Signed-off-by: hagen1778 <roman@victoriametrics.com>
Co-authored-by: hagen1778 <roman@victoriametrics.com>
…eep_metric_names` options in stream aggregation config together
With aggregated data and raw data under the same metric, results would
be confusing.
---------
Signed-off-by: hagen1778 <roman@victoriametrics.com>
Co-authored-by: hagen1778 <roman@victoriametrics.com>
(cherry picked from commit 62d19369a3)
VM has different responses to equivalent queries for MetricsQL and
GraphiteQL in case of failed access to one of vmstorage node of the
cluster vmstorage nodes. For GraphiteQL, the denyPartialResponse feature
is not used, it is always true, which is not always correct (depending
on the configuration).
In the PR I have removed the hardcoded denyPartialResponse for
GraphiteQL, just like MetricsQL does.
- [x] My change adheres [VictoriaMetrics contributing
guidelines](https://docs.victoriametrics.com/contributing/).
Make `-remoteWrite.streamAggr.ignoreFirstIntervals` of array type so it could
accept multiple values which can be applied to the corresponding`-remoteWrite.url`.
---------
Signed-off-by: hagen1778 <roman@victoriametrics.com>
Co-authored-by: hagen1778 <roman@victoriametrics.com>
(cherry picked from commit 8f5c26d788)
Fix `-streamAggr.dropInputLabels` behavior when global deduplication is enabled without `-streamAggr.config`.
Previously, `-remoteWrite.streamAggr.dropInputLabels` is misapplied.
---------
Signed-off-by: hagen1778 <roman@victoriametrics.com>
Co-authored-by: hagen1778 <roman@victoriametrics.com>
(cherry picked from commit 4863605469)
The error check was needed before a84491324d
It was kept by mistake and makes no sense to have rn.
Signed-off-by: hagen1778 <roman@victoriametrics.com>
(cherry picked from commit 9726e6c1a2)
### Describe Your Changes
- Adds support for displaying the top 5 log streams in the hits graph,
grouping the remaining streams into an "other" label.
#6545
- Adds options to customize the graph display with bar, line, stepped
line, and points views.
### Checklist
The following checks are **mandatory**:
- [x] My change adheres [VictoriaMetrics contributing
guidelines](https://docs.victoriametrics.com/contributing/).
(cherry picked from commit 04c2232e45)
### Describe Your Changes
This is useful for clients which validate InfluxDB is available before
data ingestion can be started.
See: https://github.com/VictoriaMetrics/VictoriaMetrics/issues/6653
### Checklist
The following checks are **mandatory**:
- [x] My change adheres [VictoriaMetrics contributing
guidelines](https://docs.victoriametrics.com/contributing/).
---------
Signed-off-by: Zakhar Bessarab <z.bessarab@victoriametrics.com>
Signed-off-by: hagen1778 <roman@victoriametrics.com>
Co-authored-by: hagen1778 <roman@victoriametrics.com>
(cherry picked from commit 9877a5e7d5)
Signed-off-by: hagen1778 <roman@victoriametrics.com>
### Describe Your Changes
Added `--vm-backoff-retries`, `--vm-backoff-factor`,
`--vm-backoff-min-duration` and `--vm-native-backoff-retries`,
`--vm-native-backoff-factor`, `--vm-native-backoff-min-duration`
command-line flags to the `vmctl` app. Those changes will help to
configure the retry backoff policy for different situations.
Related issue:
https://github.com/VictoriaMetrics/VictoriaMetrics/issues/6622
### Checklist
The following checks are **mandatory**:
- [X] My change adheres [VictoriaMetrics contributing
guidelines](https://docs.victoriametrics.com/contributing/).
---------
Signed-off-by: hagen1778 <roman@victoriametrics.com>
Co-authored-by: hagen1778 <roman@victoriametrics.com>
(cherry picked from commit 6f401daacb)
Signed-off-by: hagen1778 <roman@victoriametrics.com>
* add a toggle button to the "Group" tab that allows users to expand or collapse all groups at once
* introduce the ability to select a key for grouping logs within the "Group" tab
* display the number of entries within each log group.
* move the Markdown toggle to the general settings panel in the upper left corner.
(cherry picked from commit e06a19d85f)
### Describe Your Changes
Change response code to 502 to align it with behaviour of other existing
reverse proxies. Currently, the following reverse proxies will return
502 in case an upstream is not available: nginx, traefik, caddy, apache.
Signed-off-by: Zakhar Bessarab <z.bessarab@victoriametrics.com>
The %q formatter may result in incorrectly formatted JSON string if the original string
contains special chars such as \x1b . They must be encoded as \u001b , otherwise the resulting JSON string
cannot be parsed by JSON parsers.
This is a follow-up for c0caa69939
See https://github.com/VictoriaMetrics/victorialogs-datasource/issues/24
`Storage.AddRows()` returns an error only in one case: when
`Storage.updatePerDateData()` fails to unmarshal a `metricNameRaw`. But
the same error is treated as a warning when it happens inside
`Storage.add()` or returned by `Storage.prefillNextIndexDB()`.
This commit fixes this inconsistency by treating the error returned by
`Storage.updatePerDateData()` as a warning as well. As a result
`Storage.add()` does not need a return value anymore and so doesn't
`Storage.AddRows()`.
Additionally, this commit adds a unit test that checks all cases that
result in a row not being added to the storage.
---------
Signed-off-by: Artem Fetishev <wwctrsrx@gmail.com>
Co-authored-by: Nikolay <nik@victoriametrics.com>
- Rename overrideHostHeader() function to hasEmptyHostHeader()
- Rename overrideHostHeader field at UserInfo to useBackendHostHeader
This should simplify the future maintenance of the code
Updates https://github.com/VictoriaMetrics/VictoriaMetrics/pull/6525
This reverts commit 4d66e042e3.
Reasons for revert:
- The commit makes unrelated invalid changes to docs/CHANGELOG.md
- The changes at app/vmauth/main.go are too complex. It is better splitting them into two parts:
- pooling readTrackingBody struct for reducing pressure on GC
- avoiding to use readTrackingBody when -maxRequestBodySizeToRetry command-line flag is set to 0
Let's make this in the follow-up commits!
Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/6445
Updates https://github.com/VictoriaMetrics/VictoriaMetrics/pull/6533
- Move the test for SRV discovery into a separate function. This allows verifying round-robin discovery across SRV records.
- Restore the original netutil.Resolver after the test finishes, so it doesn't interfere with other tests.
- Move the description of the bugfix into the correct place at docs/CHANGELOG.md - it should be placed under v1.102.0-rc2
instead of v1.102.0-rc1.
- Remove unneeded code in URLPrefix.sanitizeAndInitialize(), since it is expected this function is called only once
for finishing URLPrefix initializiation. In this case URLPrefix.nextDiscoveryDeadline and URLPrefix.n are equal to 0
according to https://pkg.go.dev/sync/atomic#Uint64
- Properly fix the bug at URLPrefix.discoverBackendAddrsIfNeeded() - it is expected that hostToAddrs map uses
the original hostname keys, including 'srv+' prefix, so it shouldn't be removed when looping over up.busOriginal.
Instead, the 'srv+' prefix must be removed from the hostname only locally before passing the hostname to netutil.Resolver.LookupSRV.
Updates https://github.com/VictoriaMetrics/VictoriaMetrics/pull/6401
- Rename GetStatDialFunc to NewStatDialFunc, since it returns new function with every call
- NewStatDialFunc isn't related to http in any way, so it must be moved from lib/httputils to lib/netutil
- Simplify the implementation of NewStatDialFunc by removing sync.Map from there.
- Use netutil.NewStatDialFunc at app/vmauth and lib/promscrape/discoveryutils
- Use gauge instead of counter type for *_conns metric
This is a follow-up for d7b5062917
Updates https://github.com/VictoriaMetrics/VictoriaMetrics/pull/6299
- Move the remaining code responsible for stream aggregation initialization from remotewrite.go to streamaggr.go .
This improves code maintainability a bit.
- Properly shut down streamaggr.Aggregators initialized inside remotewrite.CheckStreamAggrConfigs().
This prevents from potential resource leaks.
- Use separate functions for initializing and reloading of global stream aggregation and per-remoteWrite.url stream aggregation.
This makes the code easier to read and maintain. This also fixes INFO and ERROR logs emitted by these functions.
- Add an ability to specify `name` option in every stream aggregation config. This option is used as `name` label
in metrics exposed by stream aggregation at /metrics page. This simplifies investigation of the exposed metrics.
- Add `path` label additionally to `name`, `url` and `position` labels at metrics exposed by streaming aggregation.
This label should simplify investigation of the exposed metrics.
- Remove `match` and `group` labels from metrics exposed by streaming aggregation, since they have little practical applicability:
it is hard to use these labels in query filters and aggregation functions.
- Rename the metric `vm_streamaggr_flushed_samples_total` to less misleading `vm_streamaggr_output_samples_total` .
This metric shows the number of samples generated by the corresponding streaming aggregation rule.
This metric has been added in the commit 861852f262 .
See https://github.com/VictoriaMetrics/VictoriaMetrics/pull/6462
- Remove the metric `vm_streamaggr_stale_samples_total`, since it is unclear how it can be used in practice.
This metric has been added in the commit 861852f262 .
See https://github.com/VictoriaMetrics/VictoriaMetrics/pull/6462
- Remove Alias and aggrID fields from streamaggr.Options struct, since these fields aren't related to optional params,
which could modify the behaviour of the constructed streaming aggregator.
Convert the Alias field to regular argument passed to LoadFromFile() function, since this argument is mandatory.
- Pass Options arg to LoadFromFile() function by reference, since this structure is quite big.
This also allows passing nil instead of Options when default options are enough.
- Add `name`, `path`, `url` and `position` labels to `vm_streamaggr_dedup_state_size_bytes` and `vm_streamaggr_dedup_state_items_count` metrics,
so they have consistent set of labels comparing to the rest of streaming aggregation metrics.
- Convert aggregator.aggrStates field type from `map[string]aggrState` to `[]aggrOutput`, where `aggrOutput` contains the corresponding
`aggrState` plus all the related metrics (currently only `vm_streamaggr_output_samples_total` metric is exposed with the corresponding
`output` label per each configured output function). This simplifies and speeds up the code responsible for updating per-output
metrics. This is a follow-up for the commit 2eb1bc4f81 .
See https://github.com/VictoriaMetrics/VictoriaMetrics/pull/6604
- Added missing urls to docs ( https://docs.victoriametrics.com/stream-aggregation/ ) in error messages. These urls help users
figuring out why VictoriaMetrics or vmagent generates the corresponding error messages. The urls were removed for unknown reason
in the commit 2eb1bc4f81 .
- Fix incorrect update for `vm_streamaggr_output_samples_total` metric in flushCtx.appendSeriesWithExtraLabel() function.
While at it, reduce memory usage by limiting the maximum number of samples per flush to 10K.
Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/5467
Updates https://github.com/VictoriaMetrics/VictoriaMetrics/pull/6268
The old link was changed globally to the new link in the commit f4b1cbfef0 .
Unfortunately, old links are still posted in new commits :(
This is a follow-up for 680b8c25c8 .
While at it, remove duplicate 'len(*remoteWriteURLs) > 0' check in the remotewrite.Init() functions,
since this check is already made at the beginning of the function.
Updates https://github.com/VictoriaMetrics/VictoriaMetrics/pull/6253
- Drop samples and return true from remotewrite.TryPush() at fast path when all the remote storage
systems are configured with the disabled on-disk queue, every in-memory queue is full
and -remoteWrite.dropSamplesOnOverload is set to true. This case is quite common,
so it should be optimized. Previously additional CPU time was spent on per-remoteWriteCtx
relabeling and other processing in this case.
- Properly count the number of dropped samples inside remoteWriteCtx.pushInternalTrackDropped().
Previously dropped samples were counted only if -remoteWrite.dropSamplesOnOverload flag is set.
In reality, the samples are dropped when they couldn't be sent to the queue because in-memory queue is full
and on-disk queue is disabled.
The remoteWriteCtx.pushInternalTrackDropped() function is called by streaming aggregation for pushing
the aggregated data to the remote storage. Streaming aggregation cannot wait until the remote storage
processes pending data, so it drops aggregated samples in this case.
- Clarify the description for -remoteWrite.disableOnDiskQueue command-line flag at -help output,
so it is clear that this flag can be set individually per each -remoteWrite.url.
- Make the -remoteWrite.dropSamplesOnOverload flag global. If some of the remote storage systems
are configured with the disabled on-disk queue, then there is no sense in keeping samples
on some of these systems, while dropping samples on the remaining systems, since this
will result in global stall on the remote storage system with the disabled on-disk queue
and with the -remoteWrite.dropSamplesOnOverload=false flag. vmagent will always return false
from remotewrite.TryPush() in this case. This will result in infinite duplicate samples
written to the remaining remote storage systems. That's why the -remoteWrite.dropSamplesOnOverload
is forcibly set to true if more than one -remoteWrite.disableOnDiskQueue flag is set.
This allows proceeding with newly scraped / pushed samples by sending them to the remaining
remote storage systems, while dropping them on overloaded systems with the -remoteWrite.disableOnDiskQueue flag set.
- Verify that the remoteWriteCtx.TryPush() returns true in the TestRemoteWriteContext_TryPush_ImmutableTimeseries test.
- Mention in vmagent docs that the -remoteWrite.disableOnDiskQueue command-line flag can be set individually per each -remoteWrite.url.
See https://docs.victoriametrics.com/vmagent/#disabling-on-disk-persistence
Updates https://github.com/VictoriaMetrics/VictoriaMetrics/pull/6248
Updates https://github.com/VictoriaMetrics/VictoriaMetrics/pull/6065
This makes test code more clear and reduces the number of code lines by 500.
This also simplifies debugging tests. See https://itnext.io/f-tests-as-a-replacement-for-table-driven-tests-in-go-8814a8b19e9e
While at it, consistently use t.Fatal* instead of t.Error* across tests, since t.Error*
requires more boilerplate code, which can result in additional bugs inside tests.
While t.Error* allows writing logging errors for the same, this doesn't simplify fixing
broken tests most of the time.
This is a follow-up for a9525da8a4
This simplifies debugging tests and makes the test code more clear and concise.
See https://itnext.io/f-tests-as-a-replacement-for-table-driven-tests-in-go-8814a8b19e9e
While at is, consistently use t.Fatal* instead of t.Error* across tests, since t.Error*
requires more boilerplate code, which can result in additional bugs inside tests.
While t.Error* allows writing logging errors for the same, this doesn't simplify fixing
broken tests most of the time.
This is a follow-up for a9525da8a4
Consistently using t.Fatal* simplifies the test code and makes it less fragile, since it is common error
to forget to make proper cleanup after t.Error* call. Also t.Error* calls do not provide any practical
benefits when some tests fail. They just clutter test output with additional noise information,
which do not help in fixing failing tests most of the time.
This is a follow-up for a9525da8a4
### Describe Your Changes
In most cases histograms are exposed in sorted manner with lower buckets
being first. This means that during scraping buckets with lower bounds
have higher chance of being updated earlier than upper ones.
Previously, values were propagated from upper to lower bounds, which
means that in most cases that would produce results higher than expected
once all buckets will become updated.
Propagating from upper bound effectively limits highest value of
histogram to the value of previous scrape. Once the data will become
consistent in the subsequent evaluation this causes spikes in the
result.
Changing propagation to be from lower to higher buckets reduces value
spikes in most cases due to nature of the original inconsistency.
See: https://github.com/VictoriaMetrics/VictoriaMetrics/issues/4580
An example histogram with previous(red) and updated(blue) versions:
This also makes logic of filling nan values with lower buckets values: [1 2 3 nan nan nan] => [1 2 3 3 3 3] obsolete.
Since buckets are now fixed from lower ones to upper this happens in the main loop, so there is no need in a second one.
---------
Signed-off-by: Zakhar Bessarab <z.bessarab@victoriametrics.com>
Signed-off-by: hagen1778 <roman@victoriametrics.com>
Co-authored-by: Andrii Chubatiuk <andrew.chubatiuk@gmail.com>
Co-authored-by: hagen1778 <roman@victoriametrics.com>
(cherry picked from commit 6a4bd5049b)
'any' type is supported starting from Go1.18. Let's consistently use it
instead of 'interface{}' type across the code base, since `any` is easier to read than 'interface{}'.
The change adds a new docs section with examples on how source can be
overridden. It should address questions like
https://github.com/VictoriaMetrics/VictoriaMetrics/issues/6536
While there, fix the example in `external.alert.source` cmd-line flag
and docker-compose examples.
### Checklist
The following checks are **mandatory**:
- [x] My change adheres [VictoriaMetrics contributing
guidelines](https://docs.victoriametrics.com/contributing/).
---------
Signed-off-by: hagen1778 <roman@victoriametrics.com>
(cherry picked from commit c429bbf889)
Reason for revert:
There are many statsd servers exist:
- https://github.com/statsd/statsd - classical statsd server
- https://docs.datadoghq.com/developers/dogstatsd/ - statsd server from DataDog built into DatDog Agent ( https://docs.datadoghq.com/agent/ )
- https://github.com/avito-tech/bioyino - high-performance statsd server
- https://github.com/atlassian/gostatsd - statsd server in Go
- https://github.com/prometheus/statsd_exporter - statsd server, which exposes the aggregated data as Prometheus metrics
These servers can be used for efficient aggregating of statsd data and sending it to VictoriaMetrics
according to https://docs.victoriametrics.com/#how-to-send-data-from-graphite-compatible-agents-such-as-statsd (
the https://github.com/prometheus/statsd_exporter can be scraped as usual Prometheus target
according to https://docs.victoriametrics.com/#how-to-scrape-prometheus-exporters-such-as-node-exporter ).
Adding support for statsd data ingestion protocol into VictoriaMetrics makes sense only if it provides
significant advantages over the existing statsd servers, while has no significant drawbacks comparing
to existing statsd servers.
The main advantage of statsd server built into VictoriaMetrics and vmagent - getting rid of additional statsd server.
The main drawback is non-trivial and inconvenient streaming aggregation configs, which must be used for the ingested statsd metrics (
see https://docs.victoriametrics.com/stream-aggregation/ ). These configs are incompatible with the configs for standalone statsd servers.
So you need to manually translate configs of the used statsd server to stream aggregation configs when migrating
from standalone statsd server to statsd server built into VictoriaMetrics (or vmagent).
Another important drawback is that it is very easy to shoot yourself in the foot when using built-in statsd server
with the -statsd.disableAggregationEnforcement command-line flag or with improperly configured streaming aggregation.
In this case the ingested statsd metrics will be stored to VictoriaMetrics as is without any aggregation.
This may result in high CPU usage during data ingestion, high disk space usage for storing all the unaggregated
statsd metrics and high CPU usage during querying, since all the unaggregated metrics must be read, unpacked and processed
during querying.
P.S. Built-in statsd server can be added to VictoriaMetrics and vmagent after figuring out more ergonomic
specialized configuration for aggregating of statsd metrics. The main requirements for this configuration:
- easy to write, read and update (ideally it should work out of the box for most cases without additional configuration)
- hard to misconfigure (e.g. hard to shoot yourself in the foot)
It would be great if this configuration will be compatible with the configuration of the most widely used statsd server.
In the mean time it is recommended continue using external statsd server.
Updates https://github.com/VictoriaMetrics/VictoriaMetrics/pull/6265
Updates https://github.com/VictoriaMetrics/VictoriaMetrics/pull/5053
Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/5052
Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/206
Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/4600
This reverts commit 5a3abfa041.
Reason for revert: exemplars aren't in wide use because they have numerous issues which prevent their adoption (see below).
Adding support for examplars into VictoriaMetrics introduces non-trivial code changes. These code changes need to be supported forever
once the release of VictoriaMetrics with exemplar support is published. That's why I don't think this is a good feature despite
that the source code of the reverted commit has an excellent quality. See https://docs.victoriametrics.com/goals/ .
Issues with Prometheus exemplars:
- Prometheus still has only experimental support for exemplars after more than three years since they were introduced.
It stores exemplars in memory, so they are lost after Prometheus restart. This doesn't look like production-ready feature.
See 0a2f3b3794/content/docs/instrumenting/exposition_formats.md (L153-L159)
and https://prometheus.io/docs/prometheus/latest/feature_flags/#exemplars-storage
- It is very non-trivial to expose exemplars alongside metrics in your application, since the official Prometheus SDKs
for metrics' exposition ( https://prometheus.io/docs/instrumenting/clientlibs/ ) either have very hard-to-use API
for exposing histograms or do not have this API at all. For example, try figuring out how to expose exemplars
via https://pkg.go.dev/github.com/prometheus/client_golang@v1.19.1/prometheus .
- It looks like exemplars are supported for Histogram metric types only -
see https://pkg.go.dev/github.com/prometheus/client_golang@v1.19.1/prometheus#Timer.ObserveDurationWithExemplar .
Exemplars aren't supported for Counter, Gauge and Summary metric types.
- Grafana has very poor support for Prometheus exemplars. It looks like it supports exemplars only when the query
contains histogram_quantile() function. It queries exemplars via special Prometheus API -
https://prometheus.io/docs/prometheus/latest/querying/api/#querying-exemplars - (which is still marked as experimental, btw.)
and then displays all the returned exemplars on the graph as special dots. The issue is that this doesn't work
in production in most cases when the histogram_quantile() is calculated over thousands of histogram buckets
exposed by big number of application instances. Every histogram bucket may expose an exemplar on every timestamp shown on the graph.
This makes the graph unusable, since it is litterally filled with thousands of exemplar dots.
Neither Prometheus API nor Grafana doesn't provide the ability to filter out unneeded exemplars.
- Exemplars are usually connected to traces. While traces are good for some
I doubt exemplars will become production-ready in the near future because of the issues outlined above.
Alternative to exemplars:
Exemplars are marketed as a silver bullet for the correlation between metrics, traces and logs -
just click the exemplar dot on some graph in Grafana and instantly see the corresponding trace or log entry!
This doesn't work as expected in production as shown above. Are there better solutions, which work in production?
Yes - just use time-based and label-based correlation between metrics, traces and logs. Assign the same `job`
and `instance` labels to metrics, logs and traces, so you can quickly find the needed trace or log entry
by these labes on the time range with the anomaly on metrics' graph.
Updates https://github.com/VictoriaMetrics/VictoriaMetrics/pull/5982
