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docs/VictoriaLogs: change the structure of the docs in order to be more maintainable

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The change is based on https://github.com/VictoriaMetrics/VictoriaMetrics/pull/4477
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2
app/vlstorage/main.go
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@ -28,7 +28,7 @@ var (
logNewStreams = flag.Bool("logNewStreams", false, "Whether to log creation of new streams; this can be useful for debugging of high cardinality issues with log streams; "+ logNewStreams = flag.Bool("logNewStreams", false, "Whether to log creation of new streams; this can be useful for debugging of high cardinality issues with log streams; "+
"see https://docs.victoriametrics.com/VictoriaLogs/keyConcepts.html#stream-fields ; see also -logIngestedRows") "see https://docs.victoriametrics.com/VictoriaLogs/keyConcepts.html#stream-fields ; see also -logIngestedRows")
logIngestedRows = flag.Bool("logIngestedRows", false, "Whether to log all the ingested log entries; this can be useful for debugging of data ingestion; "+ logIngestedRows = flag.Bool("logIngestedRows", false, "Whether to log all the ingested log entries; this can be useful for debugging of data ingestion; "+
"see https://docs.victoriametrics.com/VictoriaLogs/#data-ingestion ; see also -logNewStreams") "see https://docs.victoriametrics.com/VictoriaLogs/data-ingestion/ ; see also -logNewStreams")
) )
// Init initializes vlstorage. // Init initializes vlstorage.

23
docs/VictoriaLogs/LogsQL.md
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@ -1,6 +1,7 @@
# LogsQL # LogsQL
LogsQL is a simple yet powerful query language for VictoriaLogs. It provides the following features: LogsQL is a simple yet powerful query language for [VictoriaLogs](https://docs.victoriametrics.com/VictoriaLogs/).
It provides the following features:
- Full-text search across [log fields](https://docs.victoriametrics.com/VictoriaLogs/keyConcepts.html#data-model). - Full-text search across [log fields](https://docs.victoriametrics.com/VictoriaLogs/keyConcepts.html#data-model).
See [word filter](#word-filter), [phrase filter](#phrase-filter) and [prefix filter](#prefix-filter). See [word filter](#word-filter), [phrase filter](#phrase-filter) and [prefix filter](#prefix-filter).
@ -13,9 +14,9 @@ LogsQL is a simple yet powerful query language for VictoriaLogs. It provides the
If you aren't familiar with VictoriaLogs, then start with [key concepts docs](https://docs.victoriametrics.com/VictoriaLogs/keyConcepts.html). If you aren't familiar with VictoriaLogs, then start with [key concepts docs](https://docs.victoriametrics.com/VictoriaLogs/keyConcepts.html).
Then follow these docs: Then follow these docs:
- [How to run VictoriaLogs](https://docs.victoriametrics.com/VictoriaLogs/#how-to-run-victorialogs). - [How to run VictoriaLogs](https://docs.victoriametrics.com/VictoriaLogs/QuickStart.html).
- [how to ingest data into VictoriaLogs](https://docs.victoriametrics.com/VictoriaLogs/#data-ingestion). - [how to ingest data into VictoriaLogs](https://docs.victoriametrics.com/VictoriaLogs/data-ingestion/).
- [How to query VictoriaLogs](https://docs.victoriametrics.com/VictoriaLogs/#querying). - [How to query VictoriaLogs](https://docs.victoriametrics.com/VictoriaLogs/querying/).
The simplest LogsQL query is just a [word](#word), which must be found in the [log message](https://docs.victoriametrics.com/VictoriaLogs/keyConcepts.html#message-field). The simplest LogsQL query is just a [word](#word), which must be found in the [log message](https://docs.victoriametrics.com/VictoriaLogs/keyConcepts.html#message-field).
For example, the following query finds all the logs with `error` word: For example, the following query finds all the logs with `error` word:
@ -148,7 +149,7 @@ _time:[now-5m,now] log.level:error !app:(buggy_app OR foobar)
The `app` field uniquely identifies the application instance if a single instance runs per each unique `app`. The `app` field uniquely identifies the application instance if a single instance runs per each unique `app`.
In this case it is recommended associating the `app` field with [log stream fields](https://docs.victoriametrics.com/VictoriaLogs/keyConcepts.html#stream-fields) In this case it is recommended associating the `app` field with [log stream fields](https://docs.victoriametrics.com/VictoriaLogs/keyConcepts.html#stream-fields)
during [data ingestion](https://docs.victoriametrics.com/VictoriaLogs/#data-ingestion). This usually improves both compression rate during [data ingestion](https://docs.victoriametrics.com/VictoriaLogs/data-ingestion/). This usually improves both compression rate
and query performance when querying the needed streams via [`_stream` filter](#stream-filter). and query performance when querying the needed streams via [`_stream` filter](#stream-filter).
If the `app` field is associated with the log stream, then the query above can be rewritten to more performant one: If the `app` field is associated with the log stream, then the query above can be rewritten to more performant one:
@ -1001,7 +1002,7 @@ See the [Roadmap](https://docs.victoriametrics.com/VictoriaLogs/Roadmap.html) fo
## Transformations ## Transformations
It is possible to perform various transformations on the [selected log entries](#filters) at client side It is possible to perform various transformations on the [selected log entries](#filters) at client side
with `jq`, `awk`, `cut`, etc. Unix commands according to [these docs](https://docs.victoriametrics.com/VictoriaLogs/#querying-via-command-line). with `jq`, `awk`, `cut`, etc. Unix commands according to [these docs](https://docs.victoriametrics.com/VictoriaLogs/querying/#command-line).
LogsQL will support the following transformations for the [selected](#filters) log entries: LogsQL will support the following transformations for the [selected](#filters) log entries:
@ -1023,7 +1024,7 @@ See the [Roadmap](https://docs.victoriametrics.com/VictoriaLogs/Roadmap.html) fo
## Post-filters ## Post-filters
It is possible to perform post-filtering on the [selected log entries](#filters) at client side with `grep` or similar Unix commands It is possible to perform post-filtering on the [selected log entries](#filters) at client side with `grep` or similar Unix commands
according to [these docs](https://docs.victoriametrics.com/VictoriaLogs/#querying-via-command-line). according to [these docs](https://docs.victoriametrics.com/VictoriaLogs/querying/#command-line).
LogsQL will support post-filtering on the original [log fields](https://docs.victoriametrics.com/VictoriaLogs/keyConcepts.html#data-model) LogsQL will support post-filtering on the original [log fields](https://docs.victoriametrics.com/VictoriaLogs/keyConcepts.html#data-model)
and fields created by various [transformations](#transformations). The following post-filters will be supported: and fields created by various [transformations](#transformations). The following post-filters will be supported:
@ -1036,7 +1037,7 @@ See the [Roadmap](https://docs.victoriametrics.com/VictoriaLogs/Roadmap.html) fo
## Stats ## Stats
It is possible to perform stats calculations on the [selected log entries](#filters) at client side with `sort`, `uniq`, etc. Unix commands It is possible to perform stats calculations on the [selected log entries](#filters) at client side with `sort`, `uniq`, etc. Unix commands
according to [these docs](https://docs.victoriametrics.com/VictoriaLogs/#querying-via-command-line). according to [these docs](https://docs.victoriametrics.com/VictoriaLogs/querying/#command-line).
LogsQL will support calculating the following stats based on the [log fields](https://docs.victoriametrics.com/VictoriaLogs/keyConcepts.html#data-model) LogsQL will support calculating the following stats based on the [log fields](https://docs.victoriametrics.com/VictoriaLogs/keyConcepts.html#data-model)
and fields created by [transformations](#transformations): and fields created by [transformations](#transformations):
@ -1058,10 +1059,10 @@ See the [Roadmap](https://docs.victoriametrics.com/VictoriaLogs/Roadmap.html) fo
## Sorting ## Sorting
By default VictoriaLogs doesn't sort the returned results because of performance and efficiency concerns By default VictoriaLogs doesn't sort the returned results because of performance and efficiency concerns
described [here](https://docs.victoriametrics.com/VictoriaLogs/#querying-via-command-line). described [here](https://docs.victoriametrics.com/VictoriaLogs/querying/#command-line).
It is possible to sort the [selected log entries](#filters) at client side with `sort` Unix command It is possible to sort the [selected log entries](#filters) at client side with `sort` Unix command
according to [these docs](https://docs.victoriametrics.com/VictoriaLogs/#querying-via-command-line). according to [these docs](https://docs.victoriametrics.com/VictoriaLogs/querying/#command-line).
LogsQL will support results' sorting by the given set of [log fields](https://docs.victoriametrics.com/VictoriaLogs/keyConcepts.html#data-model). LogsQL will support results' sorting by the given set of [log fields](https://docs.victoriametrics.com/VictoriaLogs/keyConcepts.html#data-model).
@ -1070,7 +1071,7 @@ See the [Roadmap](https://docs.victoriametrics.com/VictoriaLogs/Roadmap.html) fo
## Limiters ## Limiters
It is possible to limit the returned results with `head`, `tail`, `less`, etc. Unix commands It is possible to limit the returned results with `head`, `tail`, `less`, etc. Unix commands
according to [these docs](https://docs.victoriametrics.com/VictoriaLogs/#querying-via-command-line). according to [these docs](https://docs.victoriametrics.com/VictoriaLogs/querying/#command-line).
LogsQL will support the ability to limit the number of returned results alongside the ability to page the returned results. LogsQL will support the ability to limit the number of returned results alongside the ability to page the returned results.
Additionally, LogsQL will provide the ability to select fields, which must be returned in the response. Additionally, LogsQL will provide the ability to select fields, which must be returned in the response.

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docs/VictoriaLogs/QuickStart.md Normal file
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@ -0,0 +1,68 @@
# VictoriaLogs Quick Start
It is recommended to read [README](https://docs.victoriametrics.com/VictoriaLogs/)
and [Key Concepts](https://docs.victoriametrics.com/VictoriaLogs/keyConcepts.html)
before you start working with VictoriaLogs.
## How to install and run VictoriaLogs
There are the following options exist:
- [To run Docker image](#docker-image)
- [To build VictoriaLogs from source code](#building-from-source-code)
### Docker image
You can run VictoriaLogs in a Docker container. It is the easiest way to start using VictoriaLogs.
Here is the command to run VictoriaLogs in a Docker container:
```bash
docker run --rm -it -p 9428:9428 -v ./victoria-logs-data:/victoria-logs-data \
docker.io/victoriametrics/victoria-logs:heads-public-single-node-0-ga638f5e2b
```
### Building from source code
Follow the following steps in order to build VictoriaLogs from source code:
- Checkout VictoriaLogs source code. It is located in the VictoriaMetrics repository:
```bash
git clone https://github.com/VictoriaMetrics/VictoriaMetrics
cd VictoriaMetrics
```
- Build VictoriaLogs. The build command requires [Go 1.20](https://golang.org/doc/install).
```bash
make victoria-logs
```
- Run the built binary:
```bash
bin/victoria-logs
```
VictoriaLogs is ready for [data ingestion](https://docs.victoriametrics.com/VictoriaLogs/data-ingestion/)
and [querying](https://docs.victoriametrics.com/VictoriaLogs/querying/) at the TCP port `9428` now!
It has no any external dependencies, so it may run in various environments without additional setup and configuration.
VictoriaLogs automatically adapts to the available CPU and RAM resources. It also automatically setups and creates
the needed indexes during [data ingestion](https://docs.victoriametrics.com/VictoriaLogs/data-ingestion/).
It is possible to change the TCP port via `-httpListenAddr` command-line flag. For example, the following command
starts VictoriaLogs, which accepts incoming requests at port `9200` (aka ElasticSearch HTTP API port):
```bash
/path/to/victoria-logs -httpListenAddr=:9200
```
VictoriaLogs stores the ingested data to the `victoria-logs-data` directory by default. The directory can be changed
via `-storageDataPath` command-line flag. See [these docs](https://docs.victoriametrics.com/VictoriaLogs/#storage) for details.
By default VictoriaLogs stores [log entries](https://docs.victoriametrics.com/VictoriaLogs/keyConcepts.html) with timestamps
in the time range `[now-7d, now]`, while dropping logs outside the given time range.
E.g. it uses the retention of 7 days. Read [these docs](https://docs.victoriametrics.com/VictoriaLogs/#retention) on how to control the retention
for the [ingested](https://docs.victoriametrics.com/VictoriaLogs/data-ingestion/) logs.
It is recommended setting up monitoring of VictoriaLogs according to [these docs](https://docs.victoriametrics.com/VictoriaLogs/#monitoring).

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docs/VictoriaLogs/README.md
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@ -4,20 +4,17 @@ VictoriaLogs is log management and log analytics system from [VictoriaMetrics](h
It provides the following key features: It provides the following key features:
- VictoriaLogs can accept logs from popular log collectors, which support - VictoriaLogs can accept logs from popular log collectors. See [these docs](https://docs.victoriametrics.com/VictoriaLogs/data-ingestion/).
[ElasticSearch data ingestion format](https://www.elastic.co/guide/en/elasticsearch/reference/current/docs-bulk.html). See [these docs](#data-ingestion). - VictoriaLogs is much easier to setup and operate comparing to ElasticSearch and Grafana Loki. See [these docs](https://docs.victoriametrics.com/VictoriaLogs/QuickStart.md).
[Grafana Loki data ingestion format](https://grafana.com/docs/loki/latest/api/#push-log-entries-to-loki) will be supported in the near future -
see [the Roadmap](https://docs.victoriametrics.com/VictoriaLogs/Roadmap.html).
- VictoriaLogs is much easier to setup and operate comparing to ElasticSearch and Grafana Loki. See [these docs](#operation).
- VictoriaLogs provides easy yet powerful query language with full-text search capabilities across - VictoriaLogs provides easy yet powerful query language with full-text search capabilities across
all the [log fields](https://docs.victoriametrics.com/VictoriaLogs/keyConcepts.html#data-model) - all the [log fields](https://docs.victoriametrics.com/VictoriaLogs/keyConcepts.html#data-model) -
see [LogsQL docs](https://docs.victoriametrics.com/VictoriaLogs/LogsQL.html). see [LogsQL docs](https://docs.victoriametrics.com/VictoriaLogs/LogsQL.html).
- VictoriaLogs can be seamlessly combined with good old Unix tools for log analysis such as `grep`, `less`, `sort`, `jq`, etc. - VictoriaLogs can be seamlessly combined with good old Unix tools for log analysis such as `grep`, `less`, `sort`, `jq`, etc.
See [these docs](#querying-via-command-line) for details. See [these docs](https://docs.victoriametrics.com/VictoriaLogs/querying/#command-line) for details.
- VictoriaLogs capacity and performance scales lineraly with the available resources (CPU, RAM, disk IO, disk space). - VictoriaLogs capacity and performance scales lineraly with the available resources (CPU, RAM, disk IO, disk space).
It runs smoothly on both Raspberry PI and a server with hundreds of CPU cores and terabytes of RAM. It runs smoothly on both Raspberry PI and a server with hundreds of CPU cores and terabytes of RAM.
- VictoriaLogs can handle much bigger data volumes than ElasticSearch and Grafana Loki when running on comparable hardware. - VictoriaLogs can handle much bigger data volumes than ElasticSearch and Grafana Loki when running on comparable hardware.
- VictoriaLogs supports multitenancy - see [these docs](https://docs.victoriametrics.com/VictoriaLogs/keyConcepts.html#multitenancy). - VictoriaLogs supports multitenancy - see [these docs](#multitenancy).
- VictoriaLogs supports out of order logs' ingestion aka backfilling. - VictoriaLogs supports out of order logs' ingestion aka backfilling.
VictoriaLogs is at Preview stage now. It is ready for evaluation in production and verifying claims given above. VictoriaLogs is at Preview stage now. It is ready for evaluation in production and verifying claims given above.
@ -26,470 +23,7 @@ See the [Roadmap](https://docs.victoriametrics.com/VictoriaLogs/Roadmap.html) fo
If you have questions about VictoriaLogs, then feel free asking them at [VictoriaMetrics community Slack chat](https://slack.victoriametrics.com/). If you have questions about VictoriaLogs, then feel free asking them at [VictoriaMetrics community Slack chat](https://slack.victoriametrics.com/).
## Operation ## Monitoring
### How to run VictoriaLogs
There are the following options exist now:
- To run Docker image:
```bash
docker run --rm -it -p 9428:9428 -v ./victoria-logs-data:/victoria-logs-data \
docker.io/victoriametrics/victoria-logs:heads-public-single-node-0-ga638f5e2b
```
- To build VictoriaLogs from source code:
Checkout VictoriaLogs source code. It is located in the VictoriaMetrics repository:
```bash
git clone https://github.com/VictoriaMetrics/VictoriaMetrics
cd VictoriaMetrics
```
Then build VictoriaLogs. The build command requires [Go 1.20](https://golang.org/doc/install).
```bash
make victoria-logs
```
Then run the built binary:
```bash
bin/victoria-logs
```
VictoriaLogs is ready to [receive logs](#data-ingestion) and [query logs](#querying) at the TCP port `9428` now!
It has no any external dependencies, so it may run in various environments without additional setup and configuration.
VictoriaLogs automatically adapts to the available CPU and RAM resources. It also automatically setups and creates
the needed indexes during [data ingestion](#data-ingestion).
It is possible to change the TCP port via `-httpListenAddr` command-line flag. For example, the following command
starts VictoriaLogs, which accepts incoming requests at port `9200` (aka ElasticSearch HTTP API port):
```bash
/path/to/victoria-logs -httpListenAddr=:9200
```
VictoriaLogs stores the ingested data to the `victoria-logs-data` directory by default. The directory can be changed
via `-storageDataPath` command-line flag. See [these docs](#storage) for details.
By default VictoriaLogs stores log entries with timestamps in the time range `[now-7d, now]`, while dropping logs outside the given time range.
E.g. it uses the retention of 7 days. Read [these docs](#retention) on how to control the retention for the [ingested](#data-ingestion) logs.
It is recommended setting up monitoring of VictoriaLogs according to [these docs](#monitoring).
### Data ingestion
VictoriaLogs supports the following data ingestion approaches:
- Via [Filebeat](https://www.elastic.co/guide/en/beats/filebeat/current/filebeat-overview.html). See [these docs](#filebeat-setup).
- Via [Logstash](https://www.elastic.co/guide/en/logstash/current/introduction.html). See [these docs](#logstash-setup).
The ingested logs can be queried according to [these docs](#querying).
See also [data ingestion troubleshooting](#data-ingestion-troubleshooting) docs.
#### Filebeat setup
Specify [`output.elasicsearch`](https://www.elastic.co/guide/en/beats/filebeat/current/elasticsearch-output.html) section in the `filebeat.yml`
for sending the collected logs to VictoriaLogs:
```yml
output.elasticsearch:
hosts: ["http://localhost:9428/insert/elasticsearch/"]
parameters:
_msg_field: "message"
_time_field: "@timestamp"
_stream_fields: "host.hostname,log.file.path"
```
Substitute the `localhost:9428` address inside `hosts` section with the real TCP address of VictoriaLogs.
See [these docs](#data-ingestion-parameters) for details on the `parameters` section.
It is recommended to verify whether the initial setup generates the needed [log fields](https://docs.victoriametrics.com/VictoriaLogs/keyConcepts.html#data-model)
and uses the correct [stream fields](https://docs.victoriametrics.com/VictoriaLogs/keyConcepts.html#stream-fields).
This can be done by specifying `debug` [parameter](#data-ingestion-parameters):
```yml
output.elasticsearch:
hosts: ["http://localhost:9428/insert/elasticsearch/"]
parameters:
_msg_field: "message"
_time_field: "@timestamp"
_stream_fields: "host.hostname,log.file.path"
debug: "1"
```
If some [log fields](https://docs.victoriametrics.com/VictoriaLogs/keyConcepts.html#data-model) must be skipped
during data ingestion, then they can be put into `ignore_fields` [parameter](#data-ingestion-parameters).
For example, the following config instructs VictoriaLogs to ignore `log.offset` and `event.original` fields in the ingested logs:
```yml
output.elasticsearch:
hosts: ["http://localhost:9428/insert/elasticsearch/"]
parameters:
_msg_field: "message"
_time_field: "@timestamp"
_stream_fields: "host.name,log.file.path"
ignore_fields: "log.offset,event.original"
```
When Filebeat ingests logs into VictoriaLogs at a high rate, then it may be needed to tune `worker` and `bulk_max_size` options.
For example, the following config is optimized for higher than usual ingestion rate:
```yml
output.elasticsearch:
hosts: ["http://localhost:9428/insert/elasticsearch/"]
parameters:
_msg_field: "message"
_time_field: "@timestamp"
_stream_fields: "host.name,log.file.path"
worker: 8
bulk_max_size: 1000
```
If the Filebeat sends logs to VictoriaLogs in another datacenter, then it may be useful enabling data compression via `compression_level` option.
This usually allows saving network bandwidth and costs by up to 5 times:
```yml
output.elasticsearch:
hosts: ["http://localhost:9428/insert/elasticsearch/"]
parameters:
_msg_field: "message"
_time_field: "@timestamp"
_stream_fields: "host.name,log.file.path"
compression_level: 1
```
By default the ingested logs are stored in the `(AccountID=0, ProjectID=0)` [tenant](https://docs.victoriametrics.com/VictoriaLogs/keyConcepts.html#multitenancy).
If you need storing logs in other tenant, then specify the needed tenant via `headers` at `output.elasticsearch` section.
For example, the following `filebeat.yml` config instructs Filebeat to store the data to `(AccountID=12, ProjectID=34)` tenant:
```yml
output.elasticsearch:
hosts: ["http://localhost:9428/insert/elasticsearch/"]
headers:
AccountID: 12
ProjectID: 34
parameters:
_msg_field: "message"
_time_field: "@timestamp"
_stream_fields: "host.name,log.file.path"
```
The ingested log entries can be queried according to [these docs](#querying).
See also [data ingestion troubleshooting](#data-ingestion-troubleshooting) docs.
#### Logstash setup
Specify [`output.elasticsearch`](https://www.elastic.co/guide/en/logstash/current/plugins-outputs-elasticsearch.html) section in the `logstash.conf` file
for sending the collected logs to VictoriaLogs:
```conf
output {
elasticsearch {
hosts => ["http://localhost:9428/insert/elasticsearch/"]
parameters => {
"_msg_field" => "message"
"_time_field" => "@timestamp"
"_stream_fields" => "host.name,process.name"
}
}
}
```
Substitute `localhost:9428` address inside `hosts` with the real TCP address of VictoriaLogs.
See [these docs](#data-ingestion-parameters) for details on the `parameters` section.
It is recommended to verify whether the initial setup generates the needed [log fields](https://docs.victoriametrics.com/VictoriaLogs/keyConcepts.html#data-model)
and uses the correct [stream fields](https://docs.victoriametrics.com/VictoriaLogs/keyConcepts.html#stream-fields).
This can be done by specifying `debug` [parameter](#data-ingestion-parameters):
```conf
output {
elasticsearch {
hosts => ["http://localhost:9428/insert/elasticsearch/"]
parameters => {
"_msg_field" => "message"
"_time_field" => "@timestamp"
"_stream_fields" => "host.name,process.name"
"debug" => "1"
}
}
}
```
If some [log fields](https://docs.victoriametrics.com/VictoriaLogs/keyConcepts.html#data-model) must be skipped
during data ingestion, then they can be put into `ignore_fields` [parameter](#data-ingestion-parameters).
For example, the following config instructs VictoriaLogs to ignore `log.offset` and `event.original` fields in the ingested logs:
```conf
output {
elasticsearch {
hosts => ["http://localhost:9428/insert/elasticsearch/"]
parameters => {
"_msg_field" => "message"
"_time_field" => "@timestamp"
"_stream_fields" => "host.hostname,process.name"
"ignore_fields" => "log.offset,event.original"
}
}
}
```
If the Logstash sends logs to VictoriaLogs in another datacenter, then it may be useful enabling data compression via `http_compression: true` option.
This usually allows saving network bandwidth and costs by up to 5 times:
```conf
output {
elasticsearch {
hosts => ["http://localhost:9428/insert/elasticsearch/"]
parameters => {
"_msg_field" => "message"
"_time_field" => "@timestamp"
"_stream_fields" => "host.hostname,process.name"
}
http_compression => true
}
}
```
By default the ingested logs are stored in the `(AccountID=0, ProjectID=0)` [tenant](https://docs.victoriametrics.com/VictoriaLogs/keyConcepts.html#multitenancy).
If you need storing logs in other tenant, then specify the needed tenant via `custom_headers` at `output.elasticsearch` section.
For example, the following `logstash.conf` config instructs Logstash to store the data to `(AccountID=12, ProjectID=34)` tenant:
```conf
output {
elasticsearch {
hosts => ["http://localhost:9428/insert/elasticsearch/"]
custom_headers => {
"AccountID" => "1"
"ProjectID" => "2"
}
parameters => {
"_msg_field" => "message"
"_time_field" => "@timestamp"
"_stream_fields" => "host.hostname,process.name"
}
}
}
```
The ingested log entries can be queried according to [these docs](#querying).
See also [data ingestion troubleshooting](#data-ingestion-troubleshooting) docs.
#### Data ingestion parameters
VictoriaLogs accepts the following parameters at [data ingestion](#data-ingestion) HTTP APIs:
- `_msg_field` - it must contain the name of the [log field](https://docs.victoriametrics.com/VictoriaLogs/keyConcepts.html#data-model)
with the [log message](https://docs.victoriametrics.com/VictoriaLogs/keyConcepts.html#message-field) generated by the log shipper.
This is usually the `message` field for Filebeat and Logstash.
If the `_msg_field` parameter isn't set, then VictoriaLogs reads the log message from the `_msg` field.
- `_time_field` - it must contain the name of the [log field](https://docs.victoriametrics.com/VictoriaLogs/keyConcepts.html#data-model)
with the [log timestamp](https://docs.victoriametrics.com/VictoriaLogs/keyConcepts.html#time-field) generated by the log shipper.
This is usually the `@timestamp` field for Filebeat and Logstash.
If the `_time_field` parameter isn't set, then VictoriaLogs reads the timestamp from the `_time` field.
If this field doesn't exist, then the current timestamp is used.
- `_stream_fields` - it should contain comma-separated list of [log field](https://docs.victoriametrics.com/VictoriaLogs/keyConcepts.html#data-model) names,
which uniquely identify every [log stream](https://docs.victoriametrics.com/VictoriaLogs/keyConcepts.html#stream-fields) collected the log shipper.
If the `_stream_fields` parameter isn't set, then all the ingested logs are written to default log stream - `{}`.
- `ignore_fields` - this parameter may contain the list of [log field](https://docs.victoriametrics.com/VictoriaLogs/keyConcepts.html#data-model) names,
which must be ignored during [data ingestion](#data-ingestion).
- `debug` - if this parameter is set to `1`, then the [ingested](#data-ingestion) logs aren't stored in VictoriaLogs. Instead,
the ingested data is logged by VictoriaLogs, so it can be investigated later.
#### Data ingestion troubleshooting
VictoriaLogs provides the following command-line flags, which can help debugging data ingestion issues:
- `-logNewStreams` - if this flag is passed to VictoriaLogs, then it logs all the newly
registered [log streams](https://docs.victoriametrics.com/VictoriaLogs/keyConcepts.html#stream-fields).
This may help debugging [high cardinality issues](https://docs.victoriametrics.com/VictoriaLogs/keyConcepts.html#high-cardinality).
- `-logIngestedRows` - if this flag is passed to VictoriaLogs, then it logs all the ingested
[log entries](https://docs.victoriametrics.com/VictoriaLogs/keyConcepts.html#data-model).
See also `debug` [parameter](#data-ingestion-parameters).
VictoriaLogs exposes various [metrics](#monitoring), which may help debugging data ingestion issues:
- `vl_rows_ingested_total` - the number of ingested [log entries](https://docs.victoriametrics.com/VictoriaLogs/keyConcepts.html#data-model)
since the last VictoriaLogs restart. If this number icreases over time, then logs are successfully ingested into VictoriaLogs.
The ingested logs can be inspected in the following ways:
- By passing `debug=1` parameter to every request to [data ingestion endpoints](#data-ingestion). The ingested rows aren't stored in VictoriaLogs
in this case. Instead, they are logged, so they can be investigated later. The `vl_rows_dropped_total` [metric](#monitoring) is incremented for each logged row.
- By passing `-logIngestedRows` command-line flag to VictoriaLogs. In this case it logs all the ingested data, so it can be investigated later.
- `vl_streams_created_total` - the number of created [log streams](https://docs.victoriametrics.com/VictoriaLogs/keyConcepts.html#stream-fields)
since the last VictoriaLogs restart. If this metric grows rapidly during extended periods of time, then this may lead
to [high cardinality issues](https://docs.victoriametrics.com/VictoriaLogs/keyConcepts.html#high-cardinality).
The newly created log streams can be inspected in logs by passing `-logNewStreams` command-line flag to VictoriaLogs.
### Querying
VictoriaLogs can be queried at the `/select/logsql/query` endpoint. The [LogsQL](https://docs.victoriametrics.com/VictoriaLogs/LogsQL.html)
query must be passed via `query` argument. For example, the following query returns all the log entries with the `error` word:
```bash
curl http://localhost:9428/select/logsql/query -d 'query=error'
```
The `query` argument can be passed either in the request url itself (aka HTTP GET request) or via request body
with the `x-www-form-urlencoded` encoding (aka HTTP POST request). The HTTP POST is useful for sending long queries
when they do not fit the maximum url length of the used clients and proxies.
See [LogsQL docs](https://docs.victoriametrics.com/VictoriaLogs/LogsQL.html) for details on what can be passed to the `query` arg.
The `query` arg must be properly encoded with [percent encoding](https://en.wikipedia.org/wiki/URL_encoding) when passing it to `curl`
or similar tools.
The `/select/logsql/query` endpoint returns [a stream of JSON lines](https://en.wikipedia.org/wiki/JSON_streaming#Line-delimited_JSON),
where each line contains JSON-encoded log entry in the form `{field1="value1",...,fieldN="valueN"}`.
Example response:
```
{"_msg":"error: disconnect from 19.54.37.22: Auth fail [preauth]","_stream":"{}","_time":"2023-01-01T13:32:13Z"}
{"_msg":"some other error","_stream":"{}","_time":"2023-01-01T13:32:15Z"}
```
The matching lines are sent to the response stream as soon as they are found in VictoriaLogs storage.
This means that the returned response may contain billions of lines for queries matching too many log entries.
The response can be interrupted at any time by closing the connection to VictoriaLogs server.
This allows post-processing the returned lines at the client side with the usual Unix commands such as `grep`, `jq`, `less`, `head`, etc.
See [these docs](#querying-via-command-line) for more details.
The returned lines aren't sorted by default, since sorting disables the ability to send matching log entries to response stream as soon as they are found.
Query results can be sorted either at VictoriaLogs side according [to these docs](https://docs.victoriametrics.com/VictoriaLogs/LogsQL.html#sorting)
or at client side with the usual `sort` command according to [these docs](#querying-via-command-line).
By default the `(AccountID=0, ProjectID=0)` [tenant](https://docs.victoriametrics.com/VictoriaLogs/keyConcepts.html#multitenancy) is queried.
If you need querying other tenant, then specify the needed tenant via http request headers. For example, the following query searches
for log messages at `(AccountID=12, ProjectID=34)` tenant:
```bash
curl http://localhost:9428/select/logsql/query -H 'AccountID: 12' -H 'ProjectID: 34' -d 'query=error'
```
The number of requests to `/select/logsql/query` can be [monitored](#monitoring) with `vl_http_requests_total{path="/select/logsql/query"}` metric.
#### Querying via command-line
VictoriaLogs provides good integration with `curl` and other command-line tools because of the following features:
- VictoriaLogs sends the matching log entries to the response stream as soon as they are found.
This allows forwarding the response stream to arbitrary [Unix pipes](https://en.wikipedia.org/wiki/Pipeline_(Unix)).
- VictoriaLogs automatically adjusts query execution speed to the speed of the client, which reads the response stream.
For example, if the response stream is piped to `less` command, then the query is suspended
until the `less` command reads the next block from the response stream.
- VictoriaLogs automatically cancels query execution when the client closes the response stream.
For example, if the query response is piped to `head` command, then VictoriaLogs stops executing the query
when the `head` command closes the response stream.
These features allow executing queries at command-line interface, which potentially select billions of rows,
without the risk of high resource usage (CPU, RAM, disk IO) at VictoriaLogs server.
For example, the following query can return very big number of matching log entries (e.g. billions) if VictoriaLogs contains
many log messages with the `error` [word](https://docs.victoriametrics.com/VictoriaLogs/LogsQL.html#word):
```bash
curl http://localhost:9428/select/logsql/query -d 'query=error'
```
If the command returns "never-ending" response, then just press `ctrl+C` at any time in order to cancel the query.
VictoriaLogs notices that the response stream is closed, so it cancels the query and instantly stops consuming CPU, RAM and disk IO for this query.
Then just use `head` command for investigating the returned log messages and narrowing down the query:
```bash
curl http://localhost:9428/select/logsql/query -d 'query=error' | head -10
```
The `head -10` command reads only the first 10 log messages from the response and then closes the response stream.
This automatically cancels the query at VictoriaLogs side, so it stops consuming CPU, RAM and disk IO resources.
Sometimes it may be more convenient to use `less` command instead of `head` during the investigation of the returned response:
```bash
curl http://localhost:9428/select/logsql/query -d 'query=error' | less
```
The `less` command reads the response stream on demand, when the user scrolls down the output.
VictoriaLogs suspends query execution when `less` stops reading the response stream.
It doesn't consume CPU and disk IO resources during this time. It resumes query execution
when the `less` continues reading the response stream.
Suppose that the initial investigation of the returned query results helped determining that the needed log messages contain
`cannot open file` [phrase](https://docs.victoriametrics.com/VictoriaLogs/LogsQL.html#phrase-filter).
Then the query can be narrowed down to `error AND "cannot open file"`
(see [these docs](https://docs.victoriametrics.com/VictoriaLogs/LogsQL.html#logical-filter) about `AND` operator).
Then run the updated command in order to continue the investigation:
```bash
curl http://localhost:9428/select/logsql/query -d 'query=error AND "cannot open file"' | head
```
Note that the `query` arg must be properly encoded with [percent encoding](https://en.wikipedia.org/wiki/URL_encoding) when passing it to `curl`
or similar tools.
The `pipe the query to "head" or "less" -> investigate the results -> refine the query` iteration
can be repeated multiple times until the needed log messages are found.
The returned VictoriaLogs query response can be post-processed with any combination of Unix commands,
which are usually used for log analysis - `grep`, `jq`, `awk`, `sort`, `uniq`, `wc`, etc.
For example, the following command uses `wc -l` Unix command for counting the number of log messages
with the `error` [word](https://docs.victoriametrics.com/VictoriaLogs/LogsQL.html#word)
received from [streams](https://docs.victoriametrics.com/VictoriaLogs/keyConcepts.html#stream-fields) with `app="nginx"` field
during the last 5 minutes:
```bash
curl http://localhost:9428/select/logsql/query -d 'query=_stream:{app="nginx"} AND _time:[now-5m,now] AND error' | wc -l
```
See [these docs](https://docs.victoriametrics.com/VictoriaLogs/LogsQL.html#stream-filter) about `_stream` filter,
[these docs](https://docs.victoriametrics.com/VictoriaLogs/LogsQL.html#time-filter) about `_time` filter
and [these docs](https://docs.victoriametrics.com/VictoriaLogs/LogsQL.html#logical-filter) about `AND` operator.
The following example shows how to sort query results by the [`_time` field](https://docs.victoriametrics.com/VictoriaLogs/keyConcepts.html#time-field):
```bash
curl http://localhost:9428/select/logsql/query -d 'query=error' | jq -r '._time + " " + ._msg' | sort | less
```
This command uses `jq` for extracting [`_time`](https://docs.victoriametrics.com/VictoriaLogs/keyConcepts.html#time-field)
and [`_msg`](https://docs.victoriametrics.com/VictoriaLogs/keyConcepts.html#message-field) fields from the returned results,
and piping them to `sort` command.
Note that the `sort` command needs to read all the response stream before returning the sorted results. So the command above
can take non-trivial amounts of time if the `query` returns too many results. The solution is to narrow down the `query`
before sorting the results. See [these tips](https://docs.victoriametrics.com/VictoriaLogs/LogsQL.html#performance-tips)
on how to narrow down query results.
The following example calculates stats on the number of log messages received during the last 5 minutes
grouped by `log.level` [field](https://docs.victoriametrics.com/VictoriaLogs/keyConcepts.html#data-model):
```bash
curl http://localhost:9428/select/logsql/query -d 'query=_time:[now-5m,now] log.level:*' | jq -r '."log.level"' | sort | uniq -c
```
The query selects all the log messages with non-empty `log.level` field via ["any value" filter](https://docs.victoriametrics.com/VictoriaLogs/LogsQL.html#any-value-filter),
then pipes them to `jq` command, which extracts the `log.level` field value from the returned JSON stream, then the extracted `log.level` values
are sorted with `sort` command and, finally, they are passed to `uniq -c` command for calculating the needed stats.
See also:
- [Key concepts](https://docs.victoriametrics.com/VictoriaLogs/keyConcepts.html).
- [LogsQL docs](https://docs.victoriametrics.com/VictoriaLogs/LogsQL.html).
### Monitoring
VictoriaLogs exposes internal metrics in Prometheus exposition format at `http://localhost:9428/metrics` page. VictoriaLogs exposes internal metrics in Prometheus exposition format at `http://localhost:9428/metrics` page.
It is recommended to set up monitoring of these metrics via VictoriaMetrics It is recommended to set up monitoring of these metrics via VictoriaMetrics
@ -498,8 +32,7 @@ vmagent (see [these docs](https://docs.victoriametrics.com/vmagent.html#how-to-c
VictoriaLogs emits own logs to stdout. It is recommended investigating these logs during troubleshooting. VictoriaLogs emits own logs to stdout. It is recommended investigating these logs during troubleshooting.
## Retention
### Retention
By default VictoriaLogs stores log entries with timestamps in the time range `[now-7d, now]`, while dropping logs outside the given time range. By default VictoriaLogs stores log entries with timestamps in the time range `[now-7d, now]`, while dropping logs outside the given time range.
E.g. it uses the retention of 7 days. The retention can be configured with `-retentionPeriod` command-line flag. E.g. it uses the retention of 7 days. The retention can be configured with `-retentionPeriod` command-line flag.
@ -512,11 +45,11 @@ For example, the following command starts VictoriaLogs with the retention of 8 w
/path/to/victoria-logs -retentionPeriod=8w /path/to/victoria-logs -retentionPeriod=8w
``` ```
VictoriaLogs stores the [ingested](#data-ingestion) logs in per-day partition directories. It automatically drops partition directories VictoriaLogs stores the [ingested](https://docs.victoriametrics.com/VictoriaLogs/data-ingestion/) logs in per-day partition directories.
outside the configured retention. It automatically drops partition directories outside the configured retention.
VictoriaLogs automatically drops logs at [data ingestion](#data-ingestion) stage if they have timestamps outside the configured retention. VictoriaLogs automatically drops logs at [data ingestion](https://docs.victoriametrics.com/VictoriaLogs/data-ingestion/) stage
A sample of dropped logs is logged with `WARN` message in order to simplify troubleshooting. if they have timestamps outside the configured retention. A sample of dropped logs is logged with `WARN` message in order to simplify troubleshooting.
The `vl_rows_dropped_total` [metric](#monitoring) is incremented each time an ingested log entry is dropped because of timestamp outside the retention. The `vl_rows_dropped_total` [metric](#monitoring) is incremented each time an ingested log entry is dropped because of timestamp outside the retention.
It is recommended setting up the following alerting rule at [vmalert](https://docs.victoriametrics.com/vmalert.html) in order to be notified It is recommended setting up the following alerting rule at [vmalert](https://docs.victoriametrics.com/vmalert.html) in order to be notified
when logs with wrong timestamps are ingested into VictoriaLogs: when logs with wrong timestamps are ingested into VictoriaLogs:
@ -536,7 +69,7 @@ For example, the following command starts VictoriaLogs, which accepts logs with
/path/to/victoria-logs -futureRetention=1y /path/to/victoria-logs -futureRetention=1y
``` ```
### Storage ## Storage
VictoriaLogs stores all its data in a single directory - `victoria-logs-data`. The path to the directory can be changed via `-storageDataPath` command-line flag. VictoriaLogs stores all its data in a single directory - `victoria-logs-data`. The path to the directory can be changed via `-storageDataPath` command-line flag.
For example, the following command starts VictoriaLogs, which stores the data at `/var/lib/victoria-logs`: For example, the following command starts VictoriaLogs, which stores the data at `/var/lib/victoria-logs`:
@ -546,3 +79,15 @@ For example, the following command starts VictoriaLogs, which stores the data at
``` ```
VictoriaLogs automatically creates the `-storageDataPath` directory on the first run if it is missing. VictoriaLogs automatically creates the `-storageDataPath` directory on the first run if it is missing.
## Multitenancy
VictoriaLogs supports multitenancy. A tenant is identified by `(AccountID, ProjectID)` pair, where `AccountID` and `ProjectID` are arbitrary 32-bit unsigned integeres.
The `AccountID` and `ProjectID` fields can be set during [data ingestion](https://docs.victoriametrics.com/VictoriaLogs/data-ingestion/)
and [querying](https://docs.victoriametrics.com/VictoriaLogs/querying/) via `AccountID` and `ProjectID` request headers.
If `AccountID` and/or `ProjectID` request headers aren't set, then the default `0` value is used.
VictoriaLogs has very low overhead for per-tenant management, so it is OK to have thousands of tenants in a single VictoriaLogs instance.
VictoriaLogs doesn't perform per-tenant authorization. Use [vmauth](https://docs.victoriametrics.com/vmauth.html) or similar tools for per-tenant authorization.

15
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@ -1,20 +1,21 @@
# VictoriaLogs roadmap # VictoriaLogs roadmap
The VictoriaLogs Preview is ready for evaluation in production. It is recommended running it alongside the existing solutions The [VictoriaLogs](https://docs.victoriametrics.com/VictoriaLogs/) Preview is ready for evaluation in production.
such as ElasticSearch and Grafana Loki and comparing their resource usage and usability. It is recommended running it alongside the existing solutions such as ElasticSearch and Grafana Loki
and comparing their resource usage and usability.
It isn't recommended migrating from existing solutions to VictoriaLogs Preview yet. It isn't recommended migrating from existing solutions to VictoriaLogs Preview yet.
The following functionality is available in VictoriaLogs Preview: The following functionality is available in VictoriaLogs Preview:
- [Data ingestion](https://docs.victoriametrics.com/VictoriaLogs/#data-ingestion). - [Data ingestion](https://docs.victoriametrics.com/VictoriaLogs/data-ingestion/).
- [Querying](https://docs.victoriametrics.com/VictoriaLogs/#querying). - [Querying](https://docs.victoriametrics.com/VictoriaLogs/querying/).
- [Querying via command-line](https://docs.victoriametrics.com/VictoriaLogs/#querying-via-command-line). - [Querying via command-line](https://docs.victoriametrics.com/VictoriaLogs/querying/#command-line).
See [operation docs](https://docs.victoriametrics.com/VictoriaLogs/#operation) for details. See [these docs](https://docs.victoriametrics.com/VictoriaLogs/) for details.
The following functionality is planned in the future versions of VictoriaLogs: The following functionality is planned in the future versions of VictoriaLogs:
- Support for [data ingestion](https://docs.victoriametrics.com/VictoriaLogs/#data-ingestion) from popular log collectors and formats: - Support for [data ingestion](https://docs.victoriametrics.com/VictoriaLogs/data-ingestion/) from popular log collectors and formats:
- Promtail (aka Grafana Loki) - Promtail (aka Grafana Loki)
- Vector.dev - Vector.dev
- Fluentbit - Fluentbit

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@ -0,0 +1,93 @@
# Filebeat setup
Specify [`output.elasicsearch`](https://www.elastic.co/guide/en/beats/filebeat/current/elasticsearch-output.html) section in the `filebeat.yml`
for sending the collected logs to [VictoriaLogs](https://docs.victoriametrics.com/VictoriaLogs/):
```yml
output.elasticsearch:
hosts: ["http://localhost:9428/insert/elasticsearch/"]
parameters:
_msg_field: "message"
_time_field: "@timestamp"
_stream_fields: "host.hostname,log.file.path"
```
Substitute the `localhost:9428` address inside `hosts` section with the real TCP address of VictoriaLogs.
See [these docs](https://docs.victoriametrics.com/VictoriaLogs/data-ingestion/#http-parameters) for details on the `parameters` section.
It is recommended verifying whether the initial setup generates the needed [log fields](https://docs.victoriametrics.com/VictoriaLogs/keyConcepts.html#data-model)
and uses the correct [stream fields](https://docs.victoriametrics.com/VictoriaLogs/keyConcepts.html#stream-fields).
This can be done by specifying `debug` [parameter](https://docs.victoriametrics.com/VictoriaLogs/data-ingestion/#http-parameters)
and inspecting VictoriaLogs logs then:
```yml
output.elasticsearch:
hosts: ["http://localhost:9428/insert/elasticsearch/"]
parameters:
_msg_field: "message"
_time_field: "@timestamp"
_stream_fields: "host.hostname,log.file.path"
debug: "1"
```
If some [log fields](https://docs.victoriametrics.com/VictoriaLogs/keyConcepts.html#data-model) must be skipped
during data ingestion, then they can be put into `ignore_fields` [parameter](https://docs.victoriametrics.com/VictoriaLogs/data-ingestion/#http-parameters).
For example, the following config instructs VictoriaLogs to ignore `log.offset` and `event.original` fields in the ingested logs:
```yml
output.elasticsearch:
hosts: ["http://localhost:9428/insert/elasticsearch/"]
parameters:
_msg_field: "message"
_time_field: "@timestamp"
_stream_fields: "host.name,log.file.path"
ignore_fields: "log.offset,event.original"
```
When Filebeat ingests logs into VictoriaLogs at a high rate, then it may be needed to tune `worker` and `bulk_max_size` options.
For example, the following config is optimized for higher than usual ingestion rate:
```yml
output.elasticsearch:
hosts: ["http://localhost:9428/insert/elasticsearch/"]
parameters:
_msg_field: "message"
_time_field: "@timestamp"
_stream_fields: "host.name,log.file.path"
worker: 8
bulk_max_size: 1000
```
If the Filebeat sends logs to VictoriaLogs in another datacenter, then it may be useful enabling data compression via `compression_level` option.
This usually allows saving network bandwidth and costs by up to 5 times:
```yml
output.elasticsearch:
hosts: ["http://localhost:9428/insert/elasticsearch/"]
parameters:
_msg_field: "message"
_time_field: "@timestamp"
_stream_fields: "host.name,log.file.path"
compression_level: 1
```
By default the ingested logs are stored in the `(AccountID=0, ProjectID=0)` [tenant](https://docs.victoriametrics.com/VictoriaLogs/#multitenancy).
If you need storing logs in other tenant, then specify the needed tenant via `headers` at `output.elasticsearch` section.
For example, the following `filebeat.yml` config instructs Filebeat to store the data to `(AccountID=12, ProjectID=34)` tenant:
```yml
output.elasticsearch:
hosts: ["http://localhost:9428/insert/elasticsearch/"]
headers:
AccountID: 12
ProjectID: 34
parameters:
_msg_field: "message"
_time_field: "@timestamp"
_stream_fields: "host.name,log.file.path"
```
The ingested log entries can be queried according to [these docs](https://docs.victoriametrics.com/VictoriaLogs/querying/).
See also [data ingestion troubleshooting](https://docs.victoriametrics.com/VictoriaLogs/data-ingestion/#troubleshooting) docs.

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@ -0,0 +1,100 @@
# Logstash setup
Specify [`output.elasticsearch`](https://www.elastic.co/guide/en/logstash/current/plugins-outputs-elasticsearch.html) section in the `logstash.conf` file
for sending the collected logs to [VictoriaLogs](https://docs.victoriametrics.com/VictoriaLogs/):
```conf
output {
elasticsearch {
hosts => ["http://localhost:9428/insert/elasticsearch/"]
parameters => {
"_msg_field" => "message"
"_time_field" => "@timestamp"
"_stream_fields" => "host.name,process.name"
}
}
}
```
Substitute `localhost:9428` address inside `hosts` with the real TCP address of VictoriaLogs.
See [these docs](https://docs.victoriametrics.com/VictoriaLogs/data-ingestion/#http-parameters) for details on the `parameters` section.
It is recommended verifying whether the initial setup generates the needed [log fields](https://docs.victoriametrics.com/VictoriaLogs/keyConcepts.html#data-model)
and uses the correct [stream fields](https://docs.victoriametrics.com/VictoriaLogs/keyConcepts.html#stream-fields).
This can be done by specifying `debug` [parameter](https://docs.victoriametrics.com/VictoriaLogs/data-ingestion/#http-parameters)
and inspecting VictoriaLogs logs then:
```conf
output {
elasticsearch {
hosts => ["http://localhost:9428/insert/elasticsearch/"]
parameters => {
"_msg_field" => "message"
"_time_field" => "@timestamp"
"_stream_fields" => "host.name,process.name"
"debug" => "1"
}
}
}
```
If some [log fields](https://docs.victoriametrics.com/VictoriaLogs/keyConcepts.html#data-model) must be skipped
during data ingestion, then they can be put into `ignore_fields` [parameter](https://docs.victoriametrics.com/VictoriaLogs/data-ingestion/#http-parameters).
For example, the following config instructs VictoriaLogs to ignore `log.offset` and `event.original` fields in the ingested logs:
```conf
output {
elasticsearch {
hosts => ["http://localhost:9428/insert/elasticsearch/"]
parameters => {
"_msg_field" => "message"
"_time_field" => "@timestamp"
"_stream_fields" => "host.hostname,process.name"
"ignore_fields" => "log.offset,event.original"
}
}
}
```
If the Logstash sends logs to VictoriaLogs in another datacenter, then it may be useful enabling data compression via `http_compression: true` option.
This usually allows saving network bandwidth and costs by up to 5 times:
```conf
output {
elasticsearch {
hosts => ["http://localhost:9428/insert/elasticsearch/"]
parameters => {
"_msg_field" => "message"
"_time_field" => "@timestamp"
"_stream_fields" => "host.hostname,process.name"
}
http_compression => true
}
}
```
By default the ingested logs are stored in the `(AccountID=0, ProjectID=0)` [tenant](https://docs.victoriametrics.com/VictoriaLogs/#multitenancy).
If you need storing logs in other tenant, then specify the needed tenant via `custom_headers` at `output.elasticsearch` section.
For example, the following `logstash.conf` config instructs Logstash to store the data to `(AccountID=12, ProjectID=34)` tenant:
```conf
output {
elasticsearch {
hosts => ["http://localhost:9428/insert/elasticsearch/"]
custom_headers => {
"AccountID" => "1"
"ProjectID" => "2"
}
parameters => {
"_msg_field" => "message"
"_time_field" => "@timestamp"
"_stream_fields" => "host.hostname,process.name"
}
}
}
```
The ingested log entries can be queried according to [these docs](https://docs.victoriametrics.com/VictoriaLogs/querying/).
See also [data ingestion troubleshooting](https://docs.victoriametrics.com/VictoriaLogs/data-ingestion/#troubleshooting) docs.

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# Data ingestion
[VictoriaLogs](https://docs.victoriametrics.com/VictoriaLogs/) can accept logs from the following log collectors:
- Filebeat. See [how to setup Filebeat for sending logs to VictoriaLogs](https://docs.victoriametrics.com/VictoriaLogs/data-ingestion/Filebeat.html).
- Logstash. See [how to setup Logstash for sending logs to VictoriaLogs](https://docs.victoriametrics.com/VictoriaLogs/data-ingestion/Logstash.html).
The ingested logs can be queried according to [these docs](https://docs.victoriametrics.com/VictoriaLogs/querying/).
See also [data ingestion troubleshooting](#troubleshooting) docs.
## HTTP APIs
VictoriaLogs supports the following data ingestion HTTP APIs:
- Elasticsearch bulk API. See [these docs](#elasticsearch-bulk-api).
- JSON stream API aka [ndjson](http://ndjson.org/). See [these docs](#json-stream-api).
VictoriaLogs accepts optional [HTTP parameters](#http-parameters) at data ingestion HTTP APIs.
### Elasticsearch bulk API
VictoriaLogs accepts logs in [Elasticsearch bulk API](https://www.elastic.co/guide/en/elasticsearch/reference/current/docs-bulk.html)
format at `http://localhost:9428/insert/elasticsearch/_bulk` endpoint.
The following command pushes a single log line to Elasticsearch bulk API at VictoriaLogs:
```bash
echo '{"create":{}}
{"_msg":"cannot open file","_time":"2023-06-21T04:24:24Z","host.name":"host123"}
' | curl -X POST -H 'Content-Type: application/json' --data-binary @- http://localhost:9428/insert/elasticsearch/_bulk
```
The following command verifies that the data has been successfully pushed to VictoriaLogs by [querying](https://docs.victoriametrics.com/VictoriaLogs/querying/) it:
```bash
curl http://localhost:9428/select/logsql/query -d 'query=host.name:host123'
```
The command should return the following response:
```bash
{"_msg":"cannot open file","_stream":"{}","_time":"2023-06-21T04:24:24Z","host.name":"host123"}
```
### JSON stream API
TODO: document JSON stream API
### HTTP parameters
VictoriaLogs accepts the following parameters at [data ingestion HTTP APIs](#http-apis):
- `_msg_field` - it must contain the name of the [log field](https://docs.victoriametrics.com/VictoriaLogs/keyConcepts.html#data-model)
with the [log message](https://docs.victoriametrics.com/VictoriaLogs/keyConcepts.html#message-field) generated by the log shipper.
This is usually the `message` field for Filebeat and Logstash.
If the `_msg_field` parameter isn't set, then VictoriaLogs reads the log message from the `_msg` field.
- `_time_field` - it must contain the name of the [log field](https://docs.victoriametrics.com/VictoriaLogs/keyConcepts.html#data-model)
with the [log timestamp](https://docs.victoriametrics.com/VictoriaLogs/keyConcepts.html#time-field) generated by the log shipper.
This is usually the `@timestamp` field for Filebeat and Logstash.
If the `_time_field` parameter isn't set, then VictoriaLogs reads the timestamp from the `_time` field.
If this field doesn't exist, then the current timestamp is used.
- `_stream_fields` - it should contain comma-separated list of [log field](https://docs.victoriametrics.com/VictoriaLogs/keyConcepts.html#data-model) names,
which uniquely identify every [log stream](https://docs.victoriametrics.com/VictoriaLogs/keyConcepts.html#stream-fields) collected the log shipper.
If the `_stream_fields` parameter isn't set, then all the ingested logs are written to default log stream - `{}`.
- `ignore_fields` - this parameter may contain the list of [log field](https://docs.victoriametrics.com/VictoriaLogs/keyConcepts.html#data-model) names,
which must be ignored during data ingestion.
- `debug` - if this parameter is set to `1`, then the ingested logs aren't stored in VictoriaLogs. Instead,
the ingested data is logged by VictoriaLogs, so it can be investigated later.
See also [HTTP headers](#http-headers).
### HTTP headers
VictoriaLogs accepts optional `AccountID` and `ProjectID` headers at [data ingestion HTTP APIs](#http-apis).
These headers may contain the needed tenant to ingest data to. See [multitenancy docs](https://docs.victoriametrics.com/VictoriaLogs/#multitenancy) for details.
## Troubleshooting
VictoriaLogs provides the following command-line flags, which can help debugging data ingestion issues:
- `-logNewStreams` - if this flag is passed to VictoriaLogs, then it logs all the newly
registered [log streams](https://docs.victoriametrics.com/VictoriaLogs/keyConcepts.html#stream-fields).
This may help debugging [high cardinality issues](https://docs.victoriametrics.com/VictoriaLogs/keyConcepts.html#high-cardinality).
- `-logIngestedRows` - if this flag is passed to VictoriaLogs, then it logs all the ingested
[log entries](https://docs.victoriametrics.com/VictoriaLogs/keyConcepts.html#data-model).
See also `debug` [parameter](#http-parameters).
VictoriaLogs exposes various [metrics](https://docs.victoriametrics.com/VictoriaLogs/#monitoring), which may help debugging data ingestion issues:
- `vl_rows_ingested_total` - the number of ingested [log entries](https://docs.victoriametrics.com/VictoriaLogs/keyConcepts.html#data-model)
since the last VictoriaLogs restart. If this number icreases over time, then logs are successfully ingested into VictoriaLogs.
The ingested logs can be inspected in the following ways:
- By passing `debug=1` parameter to every request to [data ingestion APIs](#http-apis). The ingested rows aren't stored in VictoriaLogs
in this case. Instead, they are logged, so they can be investigated later.
The `vl_rows_dropped_total` [metric](https://docs.victoriametrics.com/VictoriaLogs/#monitoring) is incremented for each logged row.
- By passing `-logIngestedRows` command-line flag to VictoriaLogs. In this case it logs all the ingested data, so it can be investigated later.
- `vl_streams_created_total` - the number of created [log streams](https://docs.victoriametrics.com/VictoriaLogs/keyConcepts.html#stream-fields)
since the last VictoriaLogs restart. If this metric grows rapidly during extended periods of time, then this may lead
to [high cardinality issues](https://docs.victoriametrics.com/VictoriaLogs/keyConcepts.html#high-cardinality).
The newly created log streams can be inspected in logs by passing `-logNewStreams` command-line flag to VictoriaLogs.

36
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@ -2,7 +2,8 @@
## Data model ## Data model
VictoriaLogs works with structured logs. Every log entry may contain arbitrary number of `key=value` pairs (aka fields). [VictoriaLogs](https://docs.victoriametrics.com/VictoriaLogs/) works with structured logs.
Every log entry may contain arbitrary number of `key=value` pairs (aka fields).
A single log entry can be expressed as a single-level [JSON](https://www.json.org/json-en.html) object with string keys and values. A single log entry can be expressed as a single-level [JSON](https://www.json.org/json-en.html) object with string keys and values.
For example: For example:
@ -18,7 +19,7 @@ For example:
``` ```
VictoriaLogs automatically transforms multi-level JSON (aka nested JSON) into single-level JSON VictoriaLogs automatically transforms multi-level JSON (aka nested JSON) into single-level JSON
during [data ingestion](https://docs.victoriametrics.com/VictoriaLogs/#data-ingestion) according to the following rules: during [data ingestion](https://docs.victoriametrics.com/VictoriaLogs/data-ingestion/) according to the following rules:
- Nested dictionaries are flattened by concatenating dictionary keys with `.` char. For example, the following multi-level JSON - Nested dictionaries are flattened by concatenating dictionary keys with `.` char. For example, the following multi-level JSON
is transformed into the following single-level JSON: is transformed into the following single-level JSON:
@ -61,7 +62,7 @@ during [data ingestion](https://docs.victoriametrics.com/VictoriaLogs/#data-inge
``` ```
Both label name and label value may contain arbitrary chars. Such chars must be encoded Both label name and label value may contain arbitrary chars. Such chars must be encoded
during [data ingestion](https://docs.victoriametrics.com/VictoriaLogs/#data-ingestion) during [data ingestion](https://docs.victoriametrics.com/VictoriaLogs/data-ingestion/)
according to [JSON string encoding](https://www.rfc-editor.org/rfc/rfc7159.html#section-7). according to [JSON string encoding](https://www.rfc-editor.org/rfc/rfc7159.html#section-7).
Unicode chars must be encoded with [UTF-8](https://en.wikipedia.org/wiki/UTF-8) encoding: Unicode chars must be encoded with [UTF-8](https://en.wikipedia.org/wiki/UTF-8) encoding:
@ -72,7 +73,7 @@ Unicode chars must be encoded with [UTF-8](https://en.wikipedia.org/wiki/UTF-8)
} }
``` ```
VictoriaLogs automatically indexes all the fields in all the [ingested](https://docs.victoriametrics.com/VictoriaLogs/#data-ingestion) logs. VictoriaLogs automatically indexes all the fields in all the [ingested](https://docs.victoriametrics.com/VictoriaLogs/data-ingestion/) logs.
This enables [full-text search](https://docs.victoriametrics.com/VictoriaLogs/LogsQL.html) across all the fields. This enables [full-text search](https://docs.victoriametrics.com/VictoriaLogs/LogsQL.html) across all the fields.
VictoriaLogs supports the following field types: VictoriaLogs supports the following field types:
@ -95,9 +96,9 @@ log entry, which can be ingested into VictoriaLogs:
``` ```
If the actual log message has other than `_msg` field name, then it is possible to specify the real log message field If the actual log message has other than `_msg` field name, then it is possible to specify the real log message field
via `_msg_field` query arg during [data ingestion](https://docs.victoriametrics.com/VictoriaLogs/#data-ingestion). via `_msg_field` query arg during [data ingestion](https://docs.victoriametrics.com/VictoriaLogs/data-ingestion/).
For example, if log message is located in the `event.original` field, then specify `_msg_field=event.original` query arg For example, if log message is located in the `event.original` field, then specify `_msg_field=event.original` query arg
during [data ingestion](https://docs.victoriametrics.com/VictoriaLogs/#data-ingestion). during [data ingestion](https://docs.victoriametrics.com/VictoriaLogs/data-ingestion/).
### Time field ### Time field
@ -112,9 +113,9 @@ For example:
``` ```
If the actual timestamp has other than `_time` field name, then it is possible to specify the real timestamp If the actual timestamp has other than `_time` field name, then it is possible to specify the real timestamp
field via `_time_field` query arg during [data ingestion](https://docs.victoriametrics.com/VictoriaLogs/#data-ingestion). field via `_time_field` query arg during [data ingestion](https://docs.victoriametrics.com/VictoriaLogs/data-ingestion/).
For example, if timestamp is located in the `event.created` field, then specify `_time_field=event.created` query arg For example, if timestamp is located in the `event.created` field, then specify `_time_field=event.created` query arg
during [data ingestion](https://docs.victoriametrics.com/VictoriaLogs/#data-ingestion). during [data ingestion](https://docs.victoriametrics.com/VictoriaLogs/data-ingestion/).
If `_time` field is missing, then the data ingestion time is used as log entry timestamp. If `_time` field is missing, then the data ingestion time is used as log entry timestamp.
@ -142,7 +143,7 @@ so it stores all the received log entries in a single default stream - `{}`.
This may lead to not-so-optimal resource usage and query performance. This may lead to not-so-optimal resource usage and query performance.
Therefore it is recommended specifying stream-level fields via `_stream_fields` query arg Therefore it is recommended specifying stream-level fields via `_stream_fields` query arg
during [data ingestion](https://docs.victoriametrics.com/VictoriaLogs/#data-ingestion). during [data ingestion](https://docs.victoriametrics.com/VictoriaLogs/data-ingestion/).
For example, if logs from Kubernetes containers have the following fields: For example, if logs from Kubernetes containers have the following fields:
```json ```json
@ -156,7 +157,7 @@ For example, if logs from Kubernetes containers have the following fields:
``` ```
then sepcify `_stream_fields=kubernetes.namespace,kubernetes.node.name,kubernetes.pod.name,kubernetes.container.name` then sepcify `_stream_fields=kubernetes.namespace,kubernetes.node.name,kubernetes.pod.name,kubernetes.container.name`
query arg during [data ingestion](https://docs.victoriametrics.com/VictoriaLogs/#data-ingestion) in order to properly store query arg during [data ingestion](https://docs.victoriametrics.com/VictoriaLogs/data-ingestion/) in order to properly store
per-container logs into distinct streams. per-container logs into distinct streams.
#### How to determine which fields must be associated with log streams? #### How to determine which fields must be associated with log streams?
@ -185,8 +186,8 @@ VictoriaLogs works perfectly with such fields unless they are associated with [l
Never associate high-cardinality fields with [log streams](#stream-fields), since this may result Never associate high-cardinality fields with [log streams](#stream-fields), since this may result
to the following issues: to the following issues:
- Performance degradation during [data ingestion](https://docs.victoriametrics.com/VictoriaLogs/#data-ingestion) - Performance degradation during [data ingestion](https://docs.victoriametrics.com/VictoriaLogs/data-ingestion/)
and [querying](https://docs.victoriametrics.com/VictoriaLogs/#querying) and [querying](https://docs.victoriametrics.com/VictoriaLogs/querying/)
- Increased memory usage - Increased memory usage
- Increased CPU usage - Increased CPU usage
- Increased disk space usage - Increased disk space usage
@ -206,14 +207,3 @@ E.g. the `trace_id:XXXX-YYYY-ZZZZ` query usually works faster than the `_msg:"tr
See [LogsQL docs](https://docs.victoriametrics.com/VictoriaLogs/LogsQL.html) for more details. See [LogsQL docs](https://docs.victoriametrics.com/VictoriaLogs/LogsQL.html) for more details.
## Multitenancy
VictoriaLogs supports multitenancy. A tenant is identified by `(AccountID, ProjectID)` pair, where `AccountID` and `ProjectID` are arbitrary 32-bit unsigned integeres.
The `AccountID` and `ProjectID` fields can be set during [data ingestion](https://docs.victoriametrics.com/VictoriaLogs/#data-ingestion)
and [querying](https://docs.victoriametrics.com/VictoriaLogs/#querying) via `AccountID` and `ProjectID` request headers.
If `AccountID` and/or `ProjectID` request headers aren't set, then the default `0` value is used.
VictoriaLogs has very low overhead for per-tenant management, so it is OK to have thousands of tenants in a single VictoriaLogs instance.
VictoriaLogs doesn't perform per-tenant authorization. Use [vmauth](https://docs.victoriametrics.com/vmauth.html) or similar tools for per-tenant authorization.

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@ -0,0 +1,156 @@
# Querying
[VictoriaLogs](https://docs.victoriametrics.com/VictoriaLogs/) can be queried at the `/select/logsql/query` endpoint.
The [LogsQL](https://docs.victoriametrics.com/VictoriaLogs/LogsQL.html) query must be passed via `query` argument.
For example, the following query returns all the log entries with the `error` word:
```bash
curl http://localhost:9428/select/logsql/query -d 'query=error'
```
The `query` argument can be passed either in the request url itself (aka HTTP GET request) or via request body
with the `x-www-form-urlencoded` encoding (aka HTTP POST request). The HTTP POST is useful for sending long queries
when they do not fit the maximum url length of the used clients and proxies.
See [LogsQL docs](https://docs.victoriametrics.com/VictoriaLogs/LogsQL.html) for details on what can be passed to the `query` arg.
The `query` arg must be properly encoded with [percent encoding](https://en.wikipedia.org/wiki/URL_encoding) when passing it to `curl`
or similar tools.
The `/select/logsql/query` endpoint returns [a stream of JSON lines](http://ndjson.org/),
where each line contains JSON-encoded log entry in the form `{field1="value1",...,fieldN="valueN"}`.
Example response:
```
{"_msg":"error: disconnect from 19.54.37.22: Auth fail [preauth]","_stream":"{}","_time":"2023-01-01T13:32:13Z"}
{"_msg":"some other error","_stream":"{}","_time":"2023-01-01T13:32:15Z"}
```
The matching lines are sent to the response stream as soon as they are found in VictoriaLogs storage.
This means that the returned response may contain billions of lines for queries matching too many log entries.
The response can be interrupted at any time by closing the connection to VictoriaLogs server.
This allows post-processing the returned lines at the client side with the usual Unix commands such as `grep`, `jq`, `less`, `head`, etc.
See [these docs](#command-line) for more details.
The returned lines aren't sorted by default, since sorting disables the ability to send matching log entries to response stream as soon as they are found.
Query results can be sorted either at VictoriaLogs side according [to these docs](https://docs.victoriametrics.com/VictoriaLogs/LogsQL.html#sorting)
or at client side with the usual `sort` command according to [these docs](#command-line).
By default the `(AccountID=0, ProjectID=0)` [tenant](https://docs.victoriametrics.com/VictoriaLogs/#multitenancy) is queried.
If you need querying other tenant, then specify the needed tenant via http request headers. For example, the following query searches
for log messages at `(AccountID=12, ProjectID=34)` tenant:
```bash
curl http://localhost:9428/select/logsql/query -H 'AccountID: 12' -H 'ProjectID: 34' -d 'query=error'
```
The number of requests to `/select/logsql/query` can be [monitored](https://docs.victoriametrics.com/VictoriaLogs/#monitoring)
with `vl_http_requests_total{path="/select/logsql/query"}` metric.
## Command-line
VictoriaLogs integrates well with `curl` and other command-line tools during querying because of the following features:
- VictoriaLogs sends the matching log entries to the response stream as soon as they are found.
This allows forwarding the response stream to arbitrary [Unix pipes](https://en.wikipedia.org/wiki/Pipeline_(Unix)).
- VictoriaLogs automatically adjusts query execution speed to the speed of the client, which reads the response stream.
For example, if the response stream is piped to `less` command, then the query is suspended
until the `less` command reads the next block from the response stream.
- VictoriaLogs automatically cancels query execution when the client closes the response stream.
For example, if the query response is piped to `head` command, then VictoriaLogs stops executing the query
when the `head` command closes the response stream.
These features allow executing queries at command-line interface, which potentially select billions of rows,
without the risk of high resource usage (CPU, RAM, disk IO) at VictoriaLogs server.
For example, the following query can return very big number of matching log entries (e.g. billions) if VictoriaLogs contains
many log messages with the `error` [word](https://docs.victoriametrics.com/VictoriaLogs/LogsQL.html#word):
```bash
curl http://localhost:9428/select/logsql/query -d 'query=error'
```
If the command returns "never-ending" response, then just press `ctrl+C` at any time in order to cancel the query.
VictoriaLogs notices that the response stream is closed, so it cancels the query and instantly stops consuming CPU, RAM and disk IO for this query.
Then just use `head` command for investigating the returned log messages and narrowing down the query:
```bash
curl http://localhost:9428/select/logsql/query -d 'query=error' | head -10
```
The `head -10` command reads only the first 10 log messages from the response and then closes the response stream.
This automatically cancels the query at VictoriaLogs side, so it stops consuming CPU, RAM and disk IO resources.
Sometimes it may be more convenient to use `less` command instead of `head` during the investigation of the returned response:
```bash
curl http://localhost:9428/select/logsql/query -d 'query=error' | less
```
The `less` command reads the response stream on demand, when the user scrolls down the output.
VictoriaLogs suspends query execution when `less` stops reading the response stream.
It doesn't consume CPU and disk IO resources during this time. It resumes query execution
when the `less` continues reading the response stream.
Suppose that the initial investigation of the returned query results helped determining that the needed log messages contain
`cannot open file` [phrase](https://docs.victoriametrics.com/VictoriaLogs/LogsQL.html#phrase-filter).
Then the query can be narrowed down to `error AND "cannot open file"`
(see [these docs](https://docs.victoriametrics.com/VictoriaLogs/LogsQL.html#logical-filter) about `AND` operator).
Then run the updated command in order to continue the investigation:
```bash
curl http://localhost:9428/select/logsql/query -d 'query=error AND "cannot open file"' | head
```
Note that the `query` arg must be properly encoded with [percent encoding](https://en.wikipedia.org/wiki/URL_encoding) when passing it to `curl`
or similar tools.
The `pipe the query to "head" or "less" -> investigate the results -> refine the query` iteration
can be repeated multiple times until the needed log messages are found.
The returned VictoriaLogs query response can be post-processed with any combination of Unix commands,
which are usually used for log analysis - `grep`, `jq`, `awk`, `sort`, `uniq`, `wc`, etc.
For example, the following command uses `wc -l` Unix command for counting the number of log messages
with the `error` [word](https://docs.victoriametrics.com/VictoriaLogs/LogsQL.html#word)
received from [streams](https://docs.victoriametrics.com/VictoriaLogs/keyConcepts.html#stream-fields) with `app="nginx"` field
during the last 5 minutes:
```bash
curl http://localhost:9428/select/logsql/query -d 'query=_stream:{app="nginx"} AND _time:[now-5m,now] AND error' | wc -l
```
See [these docs](https://docs.victoriametrics.com/VictoriaLogs/LogsQL.html#stream-filter) about `_stream` filter,
[these docs](https://docs.victoriametrics.com/VictoriaLogs/LogsQL.html#time-filter) about `_time` filter
and [these docs](https://docs.victoriametrics.com/VictoriaLogs/LogsQL.html#logical-filter) about `AND` operator.
The following example shows how to sort query results by the [`_time` field](https://docs.victoriametrics.com/VictoriaLogs/keyConcepts.html#time-field):
```bash
curl http://localhost:9428/select/logsql/query -d 'query=error' | jq -r '._time + " " + ._msg' | sort | less
```
This command uses `jq` for extracting [`_time`](https://docs.victoriametrics.com/VictoriaLogs/keyConcepts.html#time-field)
and [`_msg`](https://docs.victoriametrics.com/VictoriaLogs/keyConcepts.html#message-field) fields from the returned results,
and piping them to `sort` command.
Note that the `sort` command needs to read all the response stream before returning the sorted results. So the command above
can take non-trivial amounts of time if the `query` returns too many results. The solution is to narrow down the `query`
before sorting the results. See [these tips](https://docs.victoriametrics.com/VictoriaLogs/LogsQL.html#performance-tips)
on how to narrow down query results.
The following example calculates stats on the number of log messages received during the last 5 minutes
grouped by `log.level` [field](https://docs.victoriametrics.com/VictoriaLogs/keyConcepts.html#data-model):
```bash
curl http://localhost:9428/select/logsql/query -d 'query=_time:[now-5m,now] log.level:*' | jq -r '."log.level"' | sort | uniq -c
```
The query selects all the log messages with non-empty `log.level` field via ["any value" filter](https://docs.victoriametrics.com/VictoriaLogs/LogsQL.html#any-value-filter),
then pipes them to `jq` command, which extracts the `log.level` field value from the returned JSON stream, then the extracted `log.level` values
are sorted with `sort` command and, finally, they are passed to `uniq -c` command for calculating the needed stats.
See also:
- [Key concepts](https://docs.victoriametrics.com/VictoriaLogs/keyConcepts.html).
- [LogsQL docs](https://docs.victoriametrics.com/VictoriaLogs/LogsQL.html).