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Changes made after reading https://developers.google.com/tech-writing

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README.md
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@ -33,7 +33,7 @@ VictoriaMetrics has the following prominent features:
* It can be used as long-term storage for Prometheus. See [these docs](#prometheus-setup) for details.
* It can be used as a drop-in replacement for Prometheus in Grafana, because it supports [Prometheus querying API](#prometheus-querying-api-usage).
* It can be used as a drop-in replacement for Graphite in Grafana, because it supports [Graphite API](#graphite-api-usage).
* It can be used as a drop-in replacement for Graphite in Grafana, because it supports [Graphite API](#graphite-api-usage).
* It features easy setup and operation:
* VictoriaMetrics consists of a single [small executable](https://medium.com/@valyala/stripping-dependency-bloat-in-victoriametrics-docker-image-983fb5912b0d) without external dependencies.
* All the configuration is done via explicit command-line flags with reasonable defaults.
@ -352,13 +352,17 @@ echo '
The imported data can be read via [export API](https://docs.victoriametrics.com/#how-to-export-data-in-json-line-format):
<div class="with-copy" markdown="1">
```bash
curl http://localhost:8428/api/v1/export -d 'match[]=system.load.1'
```
</div>
This command should return the following output if everything is OK:
```
```json
{"metric":{"__name__":"system.load.1","environment":"test","host":"test.example.com"},"values":[0.5],"timestamps":[1632833641000]}
```
@ -460,13 +464,17 @@ VictoriaMetrics sets the current time if the timestamp is omitted.
An arbitrary number of lines delimited by `\n` (aka newline char) can be sent in one go.
After that the data may be read via [/api/v1/export](#how-to-export-data-in-json-line-format) endpoint:
<div class="with-copy" markdown="1">
```bash
curl -G 'http://localhost:8428/api/v1/export' -d 'match=foo.bar.baz'
```
</div>
The `/api/v1/export` endpoint should return the following response:
```bash
```json
{"metric":{"__name__":"foo.bar.baz","tag1":"value1","tag2":"value2"},"values":[123],"timestamps":[1560277406000]}
```
@ -745,8 +753,8 @@ More details may be found [here](https://github.com/VictoriaMetrics/VictoriaMetr
## Setting up service
Read [these instructions](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/43) on how to set up VictoriaMetrics as a service in your OS.
There is also [snap package for Ubuntu](https://snapcraft.io/victoriametrics).
Read [instructions](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/43) on how to set up VictoriaMetrics
as a service for your OS. A [snap package](https://snapcraft.io/victoriametrics) is available for Ubuntu.
## How to work with snapshots
@ -839,7 +847,7 @@ for metrics to export. Use `{__name__!=""}` selector for fetching all the time s
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 contains samples for a single time series. An example output:
```jsonl
```json
{"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]}
```
@ -859,10 +867,14 @@ In this case the output may contain multiple lines with samples for the same tim
Pass `Accept-Encoding: gzip` HTTP header in the request to `/api/v1/export` in order to reduce network bandwidth during exporing big amounts
of time series data. This enables gzip compression for the exported data. Example for exporting gzipped data:
<div class="with-copy" markdown="1">
```bash
curl -H 'Accept-Encoding: gzip' http://localhost:8428/api/v1/export -d 'match[]={__name__!=""}' > data.jsonl.gz
```
</div>
The maximum duration for each request to `/api/v1/export` is limited by `-search.maxExportDuration` command-line flag.
Exported data can be imported via POST'ing it to [/api/v1/import](#how-to-import-data-in-json-line-format).
@ -1035,7 +1047,7 @@ curl -G 'http://localhost:8428/api/v1/export' -d 'match[]={ticker!=""}'
The following response should be returned:
```bash
```json
{"metric":{"__name__":"bid","market":"NASDAQ","ticker":"MSFT"},"values":[1.67],"timestamps":[1583865146520]}
{"metric":{"__name__":"bid","market":"NYSE","ticker":"GOOG"},"values":[4.56],"timestamps":[1583865146495]}
{"metric":{"__name__":"ask","market":"NASDAQ","ticker":"MSFT"},"values":[3.21],"timestamps":[1583865146520]}
@ -1053,29 +1065,41 @@ VictoriaMetrics accepts data in [Prometheus exposition format](https://github.co
and in [OpenMetrics format](https://github.com/OpenObservability/OpenMetrics/blob/master/specification/OpenMetrics.md)
via `/api/v1/import/prometheus` path. For example, the following line imports a single line in Prometheus exposition format into VictoriaMetrics:
<div class="with-copy" markdown="1">
```bash
curl -d 'foo{bar="baz"} 123' -X POST 'http://localhost:8428/api/v1/import/prometheus'
```
</div>
The following command may be used for verifying the imported data:
<div class="with-copy" markdown="1">
```bash
curl -G 'http://localhost:8428/api/v1/export' -d 'match={__name__=~"foo"}'
```
</div>
It should return something like the following:
```
```json
{"metric":{"__name__":"foo","bar":"baz"},"values":[123],"timestamps":[1594370496905]}
```
Pass `Content-Encoding: gzip` HTTP request header to `/api/v1/import/prometheus` for importing gzipped data:
<div class="with-copy" markdown="1">
```bash
# Import gzipped data to <destination-victoriametrics>:
curl -X POST -H 'Content-Encoding: gzip' http://destination-victoriametrics:8428/api/v1/import/prometheus -T prometheus_data.gz
```
</div>
Extra labels may be added to all the imported metrics by passing `extra_label=name=value` query args.
For example, `/api/v1/import/prometheus?extra_label=foo=bar` would add `{foo="bar"}` label to all the imported metrics.
@ -1245,17 +1269,17 @@ Information about merging process is available in [single-node VictoriaMetrics](
and [clustered VictoriaMetrics](https://grafana.com/grafana/dashboards/11176) Grafana dashboards.
See more details in [monitoring docs](#monitoring).
The `merge` process is usually named "compaction", because the resulting `part` size is usually smaller than
the sum of the source `parts` because of better compression rate. The merge process provides the following additional benefits:
The `merge` process improves compression rate and keeps number of `parts` on disk relatively low.
Benefits of doing the merge process are the following:
* it improves query performance, since lower number of `parts` are inspected with each query
* it reduces the number of data files, since each `part` contains fixed number of files
* various background maintenance tasks such as [de-duplication](#deduplication), [downsampling](#downsampling)
and [freeing up disk space for the deleted time series](#how-to-delete-time-series) are perfomed during the merge.
and [freeing up disk space for the deleted time series](#how-to-delete-time-series) are performed during the merge.
Newly added `parts` either appear in the storage or fail to appear.
Storage never contains partially created parts. The same applies to merge process — `parts` are either fully
merged into a new `part` or fail to merge. There are no partially merged `parts` in MergeTree.
merged into a new `part` or fail to merge. MergeTree doesn't contain partially merged `parts`.
`Part` contents in MergeTree never change. Parts are immutable. They may be only deleted after the merge
to a bigger `part` or when the `part` contents goes outside the configured `-retentionPeriod`.
@ -1357,9 +1381,9 @@ or similar auth proxy.
## Tuning
* There is no need for VictoriaMetrics tuning since it uses reasonable defaults for command-line flags,
* No need in tuning for VictoriaMetrics - it uses reasonable defaults for command-line flags,
which are automatically adjusted for the available CPU and RAM resources.
* There is no need for Operating System tuning since VictoriaMetrics is optimized for default OS settings.
* No need in tuning for Operating System - VictoriaMetrics is optimized for default OS settings.
The only option is increasing the limit on [the number of open files in the OS](https://medium.com/@muhammadtriwibowo/set-permanently-ulimit-n-open-files-in-ubuntu-4d61064429a).
The recommendation is not specific for VictoriaMetrics only but also for any service which handles many HTTP connections and stores data on disk.
* VictoriaMetrics is a write-heavy application and its performance depends on disk performance. So be careful with other
@ -1376,19 +1400,23 @@ mkfs.ext4 ... -O 64bit,huge_file,extent -T huge
## Monitoring
VictoriaMetrics exports internal metrics in Prometheus format at `/metrics` page.
These metrics may be collected by [vmagent](https://docs.victoriametrics.com/vmagent.html)
or Prometheus by adding the corresponding scrape config to it.
Alternatively they can be self-scraped by setting `-selfScrapeInterval` command-line flag to duration greater than 0.
For example, `-selfScrapeInterval=10s` would enable self-scraping of `/metrics` page with 10 seconds interval.
VictoriaMetrics exports internal metrics in Prometheus exposition format at `/metrics` page.
These metrics can be scraped via [vmagent](https://docs.victoriametrics.com/vmagent.html) or Prometheus.
Alternatively, single-node VictoriaMetrics can self-scrape the metrics when `-selfScrapeInterval` command-line flag is
set to duration greater than 0. For example, `-selfScrapeInterval=10s` would enable self-scraping of `/metrics` page
with 10 seconds interval.
There are officials Grafana dashboards for [single-node VictoriaMetrics](https://grafana.com/dashboards/10229) and [clustered VictoriaMetrics](https://grafana.com/grafana/dashboards/11176). There is also an [alternative dashboard for clustered VictoriaMetrics](https://grafana.com/grafana/dashboards/11831).
Official Grafana dashboards available for [single-node](https://grafana.com/dashboards/10229)
and [clustered](https://grafana.com/grafana/dashboards/11176) VictoriaMetrics.
See an [alternative dashboard for clustered VictoriaMetrics](https://grafana.com/grafana/dashboards/11831)
created by community.
Graphs on these dashboard contain useful hints - hover the `i` icon at the top left corner of each graph in order to read it.
Graphs on the dashboards contain useful hints - hover the `i` icon in the top left corner of each graph to read it.
It is recommended setting up alerts in [vmalert](https://docs.victoriametrics.com/vmalert.html) or in Prometheus from [this config](https://github.com/VictoriaMetrics/VictoriaMetrics/blob/master/deployment/docker/alerts.yml).
We recommend setting up [alerts](https://github.com/VictoriaMetrics/VictoriaMetrics/blob/master/deployment/docker/alerts.yml)
via [vmalert](https://docs.victoriametrics.com/vmalert.html) or via Prometheus.
The most interesting metrics are:
The most interesting health metrics are the following:
* `vm_cache_entries{type="storage/hour_metric_ids"}` - the number of time series with new data points during the last hour
aka [active time series](https://docs.victoriametrics.com/FAQ.html#what-is-an-active-time-series).
@ -1404,9 +1432,7 @@ The most interesting metrics are:
If this number remains high during extended periods of time, then it is likely more RAM is needed for optimal handling
of the current number of [active time series](https://docs.victoriametrics.com/FAQ.html#what-is-an-active-time-series).
VictoriaMetrics also exposes currently running queries with their execution times at `/api/v1/status/active_queries` page.
See the example of alerting rules for VM components [here](https://github.com/VictoriaMetrics/VictoriaMetrics/blob/master/deployment/docker/alerts.yml).
VictoriaMetrics exposes currently running queries and their execution times at `/api/v1/status/active_queries` page.
## TSDB stats
@ -1791,9 +1817,10 @@ Files included in each folder:
### We kindly ask
* Please don't use any other font instead of suggested.
* There should be sufficient clear space around the logo.
* To keep enough 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.
* Do not change the proportions for any of the design elements or the design itself.
You may resize as needed but must retain all proportions.
## List of command-line flags

83
docs/README.md
View File

@ -33,7 +33,7 @@ VictoriaMetrics has the following prominent features:
* It can be used as long-term storage for Prometheus. See [these docs](#prometheus-setup) for details.
* It can be used as a drop-in replacement for Prometheus in Grafana, because it supports [Prometheus querying API](#prometheus-querying-api-usage).
* It can be used as a drop-in replacement for Graphite in Grafana, because it supports [Graphite API](#graphite-api-usage).
* It can be used as a drop-in replacement for Graphite in Grafana, because it supports [Graphite API](#graphite-api-usage).
* It features easy setup and operation:
* VictoriaMetrics consists of a single [small executable](https://medium.com/@valyala/stripping-dependency-bloat-in-victoriametrics-docker-image-983fb5912b0d) without external dependencies.
* All the configuration is done via explicit command-line flags with reasonable defaults.
@ -352,13 +352,17 @@ echo '
The imported data can be read via [export API](https://docs.victoriametrics.com/#how-to-export-data-in-json-line-format):
<div class="with-copy" markdown="1">
```bash
curl http://localhost:8428/api/v1/export -d 'match[]=system.load.1'
```
</div>
This command should return the following output if everything is OK:
```
```json
{"metric":{"__name__":"system.load.1","environment":"test","host":"test.example.com"},"values":[0.5],"timestamps":[1632833641000]}
```
@ -460,13 +464,17 @@ VictoriaMetrics sets the current time if the timestamp is omitted.
An arbitrary number of lines delimited by `\n` (aka newline char) can be sent in one go.
After that the data may be read via [/api/v1/export](#how-to-export-data-in-json-line-format) endpoint:
<div class="with-copy" markdown="1">
```bash
curl -G 'http://localhost:8428/api/v1/export' -d 'match=foo.bar.baz'
```
</div>
The `/api/v1/export` endpoint should return the following response:
```bash
```json
{"metric":{"__name__":"foo.bar.baz","tag1":"value1","tag2":"value2"},"values":[123],"timestamps":[1560277406000]}
```
@ -745,8 +753,8 @@ More details may be found [here](https://github.com/VictoriaMetrics/VictoriaMetr
## Setting up service
Read [these instructions](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/43) on how to set up VictoriaMetrics as a service in your OS.
There is also [snap package for Ubuntu](https://snapcraft.io/victoriametrics).
Read [instructions](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/43) on how to set up VictoriaMetrics
as a service for your OS. A [snap package](https://snapcraft.io/victoriametrics) is available for Ubuntu.
## How to work with snapshots
@ -839,7 +847,7 @@ for metrics to export. Use `{__name__!=""}` selector for fetching all the time s
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 contains samples for a single time series. An example output:
```jsonl
```json
{"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]}
```
@ -859,10 +867,14 @@ In this case the output may contain multiple lines with samples for the same tim
Pass `Accept-Encoding: gzip` HTTP header in the request to `/api/v1/export` in order to reduce network bandwidth during exporing big amounts
of time series data. This enables gzip compression for the exported data. Example for exporting gzipped data:
<div class="with-copy" markdown="1">
```bash
curl -H 'Accept-Encoding: gzip' http://localhost:8428/api/v1/export -d 'match[]={__name__!=""}' > data.jsonl.gz
```
</div>
The maximum duration for each request to `/api/v1/export` is limited by `-search.maxExportDuration` command-line flag.
Exported data can be imported via POST'ing it to [/api/v1/import](#how-to-import-data-in-json-line-format).
@ -1035,7 +1047,7 @@ curl -G 'http://localhost:8428/api/v1/export' -d 'match[]={ticker!=""}'
The following response should be returned:
```bash
```json
{"metric":{"__name__":"bid","market":"NASDAQ","ticker":"MSFT"},"values":[1.67],"timestamps":[1583865146520]}
{"metric":{"__name__":"bid","market":"NYSE","ticker":"GOOG"},"values":[4.56],"timestamps":[1583865146495]}
{"metric":{"__name__":"ask","market":"NASDAQ","ticker":"MSFT"},"values":[3.21],"timestamps":[1583865146520]}
@ -1053,29 +1065,41 @@ VictoriaMetrics accepts data in [Prometheus exposition format](https://github.co
and in [OpenMetrics format](https://github.com/OpenObservability/OpenMetrics/blob/master/specification/OpenMetrics.md)
via `/api/v1/import/prometheus` path. For example, the following line imports a single line in Prometheus exposition format into VictoriaMetrics:
<div class="with-copy" markdown="1">
```bash
curl -d 'foo{bar="baz"} 123' -X POST 'http://localhost:8428/api/v1/import/prometheus'
```
</div>
The following command may be used for verifying the imported data:
<div class="with-copy" markdown="1">
```bash
curl -G 'http://localhost:8428/api/v1/export' -d 'match={__name__=~"foo"}'
```
</div>
It should return something like the following:
```
```json
{"metric":{"__name__":"foo","bar":"baz"},"values":[123],"timestamps":[1594370496905]}
```
Pass `Content-Encoding: gzip` HTTP request header to `/api/v1/import/prometheus` for importing gzipped data:
<div class="with-copy" markdown="1">
```bash
# Import gzipped data to <destination-victoriametrics>:
curl -X POST -H 'Content-Encoding: gzip' http://destination-victoriametrics:8428/api/v1/import/prometheus -T prometheus_data.gz
```
</div>
Extra labels may be added to all the imported metrics by passing `extra_label=name=value` query args.
For example, `/api/v1/import/prometheus?extra_label=foo=bar` would add `{foo="bar"}` label to all the imported metrics.
@ -1245,17 +1269,17 @@ Information about merging process is available in [single-node VictoriaMetrics](
and [clustered VictoriaMetrics](https://grafana.com/grafana/dashboards/11176) Grafana dashboards.
See more details in [monitoring docs](#monitoring).
The `merge` process is usually named "compaction", because the resulting `part` size is usually smaller than
the sum of the source `parts` because of better compression rate. The merge process provides the following additional benefits:
The `merge` process improves compression rate and keeps number of `parts` on disk relatively low.
Benefits of doing the merge process are the following:
* it improves query performance, since lower number of `parts` are inspected with each query
* it reduces the number of data files, since each `part` contains fixed number of files
* various background maintenance tasks such as [de-duplication](#deduplication), [downsampling](#downsampling)
and [freeing up disk space for the deleted time series](#how-to-delete-time-series) are perfomed during the merge.
and [freeing up disk space for the deleted time series](#how-to-delete-time-series) are performed during the merge.
Newly added `parts` either appear in the storage or fail to appear.
Storage never contains partially created parts. The same applies to merge process — `parts` are either fully
merged into a new `part` or fail to merge. There are no partially merged `parts` in MergeTree.
merged into a new `part` or fail to merge. MergeTree doesn't contain partially merged `parts`.
`Part` contents in MergeTree never change. Parts are immutable. They may be only deleted after the merge
to a bigger `part` or when the `part` contents goes outside the configured `-retentionPeriod`.
@ -1357,9 +1381,9 @@ or similar auth proxy.
## Tuning
* There is no need for VictoriaMetrics tuning since it uses reasonable defaults for command-line flags,
* No need in tuning for VictoriaMetrics - it uses reasonable defaults for command-line flags,
which are automatically adjusted for the available CPU and RAM resources.
* There is no need for Operating System tuning since VictoriaMetrics is optimized for default OS settings.
* No need in tuning for Operating System - VictoriaMetrics is optimized for default OS settings.
The only option is increasing the limit on [the number of open files in the OS](https://medium.com/@muhammadtriwibowo/set-permanently-ulimit-n-open-files-in-ubuntu-4d61064429a).
The recommendation is not specific for VictoriaMetrics only but also for any service which handles many HTTP connections and stores data on disk.
* VictoriaMetrics is a write-heavy application and its performance depends on disk performance. So be careful with other
@ -1376,19 +1400,23 @@ mkfs.ext4 ... -O 64bit,huge_file,extent -T huge
## Monitoring
VictoriaMetrics exports internal metrics in Prometheus format at `/metrics` page.
These metrics may be collected by [vmagent](https://docs.victoriametrics.com/vmagent.html)
or Prometheus by adding the corresponding scrape config to it.
Alternatively they can be self-scraped by setting `-selfScrapeInterval` command-line flag to duration greater than 0.
For example, `-selfScrapeInterval=10s` would enable self-scraping of `/metrics` page with 10 seconds interval.
VictoriaMetrics exports internal metrics in Prometheus exposition format at `/metrics` page.
These metrics can be scraped via [vmagent](https://docs.victoriametrics.com/vmagent.html) or Prometheus.
Alternatively, single-node VictoriaMetrics can self-scrape the metrics when `-selfScrapeInterval` command-line flag is
set to duration greater than 0. For example, `-selfScrapeInterval=10s` would enable self-scraping of `/metrics` page
with 10 seconds interval.
There are officials Grafana dashboards for [single-node VictoriaMetrics](https://grafana.com/dashboards/10229) and [clustered VictoriaMetrics](https://grafana.com/grafana/dashboards/11176). There is also an [alternative dashboard for clustered VictoriaMetrics](https://grafana.com/grafana/dashboards/11831).
Official Grafana dashboards available for [single-node](https://grafana.com/dashboards/10229)
and [clustered](https://grafana.com/grafana/dashboards/11176) VictoriaMetrics.
See an [alternative dashboard for clustered VictoriaMetrics](https://grafana.com/grafana/dashboards/11831)
created by community.
Graphs on these dashboard contain useful hints - hover the `i` icon at the top left corner of each graph in order to read it.
Graphs on the dashboards contain useful hints - hover the `i` icon in the top left corner of each graph to read it.
It is recommended setting up alerts in [vmalert](https://docs.victoriametrics.com/vmalert.html) or in Prometheus from [this config](https://github.com/VictoriaMetrics/VictoriaMetrics/blob/master/deployment/docker/alerts.yml).
We recommend setting up [alerts](https://github.com/VictoriaMetrics/VictoriaMetrics/blob/master/deployment/docker/alerts.yml)
via [vmalert](https://docs.victoriametrics.com/vmalert.html) or via Prometheus.
The most interesting metrics are:
The most interesting health metrics are the following:
* `vm_cache_entries{type="storage/hour_metric_ids"}` - the number of time series with new data points during the last hour
aka [active time series](https://docs.victoriametrics.com/FAQ.html#what-is-an-active-time-series).
@ -1404,9 +1432,7 @@ The most interesting metrics are:
If this number remains high during extended periods of time, then it is likely more RAM is needed for optimal handling
of the current number of [active time series](https://docs.victoriametrics.com/FAQ.html#what-is-an-active-time-series).
VictoriaMetrics also exposes currently running queries with their execution times at `/api/v1/status/active_queries` page.
See the example of alerting rules for VM components [here](https://github.com/VictoriaMetrics/VictoriaMetrics/blob/master/deployment/docker/alerts.yml).
VictoriaMetrics exposes currently running queries and their execution times at `/api/v1/status/active_queries` page.
## TSDB stats
@ -1791,9 +1817,10 @@ Files included in each folder:
### We kindly ask
* Please don't use any other font instead of suggested.
* There should be sufficient clear space around the logo.
* To keep enough 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.
* Do not change the proportions for any of the design elements or the design itself.
You may resize as needed but must retain all proportions.
## List of command-line flags

83
docs/Single-server-VictoriaMetrics.md
View File

@ -37,7 +37,7 @@ VictoriaMetrics has the following prominent features:
* It can be used as long-term storage for Prometheus. See [these docs](#prometheus-setup) for details.
* It can be used as a drop-in replacement for Prometheus in Grafana, because it supports [Prometheus querying API](#prometheus-querying-api-usage).
* It can be used as a drop-in replacement for Graphite in Grafana, because it supports [Graphite API](#graphite-api-usage).
* It can be used as a drop-in replacement for Graphite in Grafana, because it supports [Graphite API](#graphite-api-usage).
* It features easy setup and operation:
* VictoriaMetrics consists of a single [small executable](https://medium.com/@valyala/stripping-dependency-bloat-in-victoriametrics-docker-image-983fb5912b0d) without external dependencies.
* All the configuration is done via explicit command-line flags with reasonable defaults.
@ -356,13 +356,17 @@ echo '
The imported data can be read via [export API](https://docs.victoriametrics.com/#how-to-export-data-in-json-line-format):
<div class="with-copy" markdown="1">
```bash
curl http://localhost:8428/api/v1/export -d 'match[]=system.load.1'
```
</div>
This command should return the following output if everything is OK:
```
```json
{"metric":{"__name__":"system.load.1","environment":"test","host":"test.example.com"},"values":[0.5],"timestamps":[1632833641000]}
```
@ -464,13 +468,17 @@ VictoriaMetrics sets the current time if the timestamp is omitted.
An arbitrary number of lines delimited by `\n` (aka newline char) can be sent in one go.
After that the data may be read via [/api/v1/export](#how-to-export-data-in-json-line-format) endpoint:
<div class="with-copy" markdown="1">
```bash
curl -G 'http://localhost:8428/api/v1/export' -d 'match=foo.bar.baz'
```
</div>
The `/api/v1/export` endpoint should return the following response:
```bash
```json
{"metric":{"__name__":"foo.bar.baz","tag1":"value1","tag2":"value2"},"values":[123],"timestamps":[1560277406000]}
```
@ -749,8 +757,8 @@ More details may be found [here](https://github.com/VictoriaMetrics/VictoriaMetr
## Setting up service
Read [these instructions](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/43) on how to set up VictoriaMetrics as a service in your OS.
There is also [snap package for Ubuntu](https://snapcraft.io/victoriametrics).
Read [instructions](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/43) on how to set up VictoriaMetrics
as a service for your OS. A [snap package](https://snapcraft.io/victoriametrics) is available for Ubuntu.
## How to work with snapshots
@ -843,7 +851,7 @@ for metrics to export. Use `{__name__!=""}` selector for fetching all the time s
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 contains samples for a single time series. An example output:
```jsonl
```json
{"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]}
```
@ -863,10 +871,14 @@ In this case the output may contain multiple lines with samples for the same tim
Pass `Accept-Encoding: gzip` HTTP header in the request to `/api/v1/export` in order to reduce network bandwidth during exporing big amounts
of time series data. This enables gzip compression for the exported data. Example for exporting gzipped data:
<div class="with-copy" markdown="1">
```bash
curl -H 'Accept-Encoding: gzip' http://localhost:8428/api/v1/export -d 'match[]={__name__!=""}' > data.jsonl.gz
```
</div>
The maximum duration for each request to `/api/v1/export` is limited by `-search.maxExportDuration` command-line flag.
Exported data can be imported via POST'ing it to [/api/v1/import](#how-to-import-data-in-json-line-format).
@ -1039,7 +1051,7 @@ curl -G 'http://localhost:8428/api/v1/export' -d 'match[]={ticker!=""}'
The following response should be returned:
```bash
```json
{"metric":{"__name__":"bid","market":"NASDAQ","ticker":"MSFT"},"values":[1.67],"timestamps":[1583865146520]}
{"metric":{"__name__":"bid","market":"NYSE","ticker":"GOOG"},"values":[4.56],"timestamps":[1583865146495]}
{"metric":{"__name__":"ask","market":"NASDAQ","ticker":"MSFT"},"values":[3.21],"timestamps":[1583865146520]}
@ -1057,29 +1069,41 @@ VictoriaMetrics accepts data in [Prometheus exposition format](https://github.co
and in [OpenMetrics format](https://github.com/OpenObservability/OpenMetrics/blob/master/specification/OpenMetrics.md)
via `/api/v1/import/prometheus` path. For example, the following line imports a single line in Prometheus exposition format into VictoriaMetrics:
<div class="with-copy" markdown="1">
```bash
curl -d 'foo{bar="baz"} 123' -X POST 'http://localhost:8428/api/v1/import/prometheus'
```
</div>
The following command may be used for verifying the imported data:
<div class="with-copy" markdown="1">
```bash
curl -G 'http://localhost:8428/api/v1/export' -d 'match={__name__=~"foo"}'
```
</div>
It should return something like the following:
```
```json
{"metric":{"__name__":"foo","bar":"baz"},"values":[123],"timestamps":[1594370496905]}
```
Pass `Content-Encoding: gzip` HTTP request header to `/api/v1/import/prometheus` for importing gzipped data:
<div class="with-copy" markdown="1">
```bash
# Import gzipped data to <destination-victoriametrics>:
curl -X POST -H 'Content-Encoding: gzip' http://destination-victoriametrics:8428/api/v1/import/prometheus -T prometheus_data.gz
```
</div>
Extra labels may be added to all the imported metrics by passing `extra_label=name=value` query args.
For example, `/api/v1/import/prometheus?extra_label=foo=bar` would add `{foo="bar"}` label to all the imported metrics.
@ -1249,17 +1273,17 @@ Information about merging process is available in [single-node VictoriaMetrics](
and [clustered VictoriaMetrics](https://grafana.com/grafana/dashboards/11176) Grafana dashboards.
See more details in [monitoring docs](#monitoring).
The `merge` process is usually named "compaction", because the resulting `part` size is usually smaller than
the sum of the source `parts` because of better compression rate. The merge process provides the following additional benefits:
The `merge` process improves compression rate and keeps number of `parts` on disk relatively low.
Benefits of doing the merge process are the following:
* it improves query performance, since lower number of `parts` are inspected with each query
* it reduces the number of data files, since each `part` contains fixed number of files
* various background maintenance tasks such as [de-duplication](#deduplication), [downsampling](#downsampling)
and [freeing up disk space for the deleted time series](#how-to-delete-time-series) are perfomed during the merge.
and [freeing up disk space for the deleted time series](#how-to-delete-time-series) are performed during the merge.
Newly added `parts` either appear in the storage or fail to appear.
Storage never contains partially created parts. The same applies to merge process — `parts` are either fully
merged into a new `part` or fail to merge. There are no partially merged `parts` in MergeTree.
merged into a new `part` or fail to merge. MergeTree doesn't contain partially merged `parts`.
`Part` contents in MergeTree never change. Parts are immutable. They may be only deleted after the merge
to a bigger `part` or when the `part` contents goes outside the configured `-retentionPeriod`.
@ -1361,9 +1385,9 @@ or similar auth proxy.
## Tuning
* There is no need for VictoriaMetrics tuning since it uses reasonable defaults for command-line flags,
* No need in tuning for VictoriaMetrics - it uses reasonable defaults for command-line flags,
which are automatically adjusted for the available CPU and RAM resources.
* There is no need for Operating System tuning since VictoriaMetrics is optimized for default OS settings.
* No need in tuning for Operating System - VictoriaMetrics is optimized for default OS settings.
The only option is increasing the limit on [the number of open files in the OS](https://medium.com/@muhammadtriwibowo/set-permanently-ulimit-n-open-files-in-ubuntu-4d61064429a).
The recommendation is not specific for VictoriaMetrics only but also for any service which handles many HTTP connections and stores data on disk.
* VictoriaMetrics is a write-heavy application and its performance depends on disk performance. So be careful with other
@ -1380,19 +1404,23 @@ mkfs.ext4 ... -O 64bit,huge_file,extent -T huge
## Monitoring
VictoriaMetrics exports internal metrics in Prometheus format at `/metrics` page.
These metrics may be collected by [vmagent](https://docs.victoriametrics.com/vmagent.html)
or Prometheus by adding the corresponding scrape config to it.
Alternatively they can be self-scraped by setting `-selfScrapeInterval` command-line flag to duration greater than 0.
For example, `-selfScrapeInterval=10s` would enable self-scraping of `/metrics` page with 10 seconds interval.
VictoriaMetrics exports internal metrics in Prometheus exposition format at `/metrics` page.
These metrics can be scraped via [vmagent](https://docs.victoriametrics.com/vmagent.html) or Prometheus.
Alternatively, single-node VictoriaMetrics can self-scrape the metrics when `-selfScrapeInterval` command-line flag is
set to duration greater than 0. For example, `-selfScrapeInterval=10s` would enable self-scraping of `/metrics` page
with 10 seconds interval.
There are officials Grafana dashboards for [single-node VictoriaMetrics](https://grafana.com/dashboards/10229) and [clustered VictoriaMetrics](https://grafana.com/grafana/dashboards/11176). There is also an [alternative dashboard for clustered VictoriaMetrics](https://grafana.com/grafana/dashboards/11831).
Official Grafana dashboards available for [single-node](https://grafana.com/dashboards/10229)
and [clustered](https://grafana.com/grafana/dashboards/11176) VictoriaMetrics.
See an [alternative dashboard for clustered VictoriaMetrics](https://grafana.com/grafana/dashboards/11831)
created by community.
Graphs on these dashboard contain useful hints - hover the `i` icon at the top left corner of each graph in order to read it.
Graphs on the dashboards contain useful hints - hover the `i` icon in the top left corner of each graph to read it.
It is recommended setting up alerts in [vmalert](https://docs.victoriametrics.com/vmalert.html) or in Prometheus from [this config](https://github.com/VictoriaMetrics/VictoriaMetrics/blob/master/deployment/docker/alerts.yml).
We recommend setting up [alerts](https://github.com/VictoriaMetrics/VictoriaMetrics/blob/master/deployment/docker/alerts.yml)
via [vmalert](https://docs.victoriametrics.com/vmalert.html) or via Prometheus.
The most interesting metrics are:
The most interesting health metrics are the following:
* `vm_cache_entries{type="storage/hour_metric_ids"}` - the number of time series with new data points during the last hour
aka [active time series](https://docs.victoriametrics.com/FAQ.html#what-is-an-active-time-series).
@ -1408,9 +1436,7 @@ The most interesting metrics are:
If this number remains high during extended periods of time, then it is likely more RAM is needed for optimal handling
of the current number of [active time series](https://docs.victoriametrics.com/FAQ.html#what-is-an-active-time-series).
VictoriaMetrics also exposes currently running queries with their execution times at `/api/v1/status/active_queries` page.
See the example of alerting rules for VM components [here](https://github.com/VictoriaMetrics/VictoriaMetrics/blob/master/deployment/docker/alerts.yml).
VictoriaMetrics exposes currently running queries and their execution times at `/api/v1/status/active_queries` page.
## TSDB stats
@ -1795,9 +1821,10 @@ Files included in each folder:
### We kindly ask
* Please don't use any other font instead of suggested.
* There should be sufficient clear space around the logo.
* To keep enough 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.
* Do not change the proportions for any of the design elements or the design itself.
You may resize as needed but must retain all proportions.
## List of command-line flags

2
docs/guides/k8s-monitoring-via-vm-single.md
View File

@ -74,7 +74,7 @@ Run this command in your terminal:
<div class="with-copy" markdown="1">.html
```yaml
```bash
helm install vmsingle vm/victoria-metrics-single -f https://docs.victoriametrics.com/guides/guide-vmsingle-values.yaml
```

4
docs/keyConcepts.md
View File

@ -145,13 +145,13 @@ vm_per_query_rows_processed_count_count 11
In practice, histogram `vm_per_query_rows_processed_count` may be used in the following way:
```Go
```go
// define the histogram
perQueryRowsProcessed := metrics.NewHistogram(`vm_per_query_rows_processed_count`)
// use the histogram during processing
for _, query := range queries {
perQueryRowsProcessed.Update(len(query.Rows))
perQueryRowsProcessed.Update(len(query.Rows))
}
```