mirror of https://github.com/apache/druid.git
72 lines
4.3 KiB
Markdown
72 lines
4.3 KiB
Markdown
---
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id: statsd
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title: "StatsD Emitter"
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---
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<!--
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~ Licensed to the Apache Software Foundation (ASF) under one
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~ or more contributor license agreements. See the NOTICE file
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~ distributed with this work for additional information
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~ regarding copyright ownership. The ASF licenses this file
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~ to you under the Apache License, Version 2.0 (the
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~ "License"); you may not use this file except in compliance
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~ with the License. You may obtain a copy of the License at
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~ http://www.apache.org/licenses/LICENSE-2.0
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~
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~ software distributed under the License is distributed on an
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~ under the License.
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To use this Apache Druid extension, [include](../../development/extensions.md#loading-extensions) `statsd-emitter` in the extensions load list.
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## Introduction
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This extension emits druid metrics to a StatsD server.
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(https://github.com/etsy/statsd)
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(https://github.com/armon/statsite)
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## Configuration
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All the configuration parameters for the StatsD emitter are under `druid.emitter.statsd`.
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|property|description|required?|default|
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|--------|-----------|---------|-------|
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|`druid.emitter.statsd.hostname`|The hostname of the StatsD server.|yes|none|
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|`druid.emitter.statsd.port`|The port of the StatsD server.|yes|none|
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|`druid.emitter.statsd.prefix`|Optional metric name prefix.|no|""|
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|`druid.emitter.statsd.separator`|Metric name separator|no|.|
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|`druid.emitter.statsd.includeHost`|Flag to include the hostname as part of the metric name.|no|false|
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|`druid.emitter.statsd.dimensionMapPath`|JSON file defining the StatsD type, and desired dimensions for every Druid metric|no|Default mapping provided. See below.|
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|`druid.emitter.statsd.blankHolder`|The blank character replacement as StatsD does not support path with blank character|no|"-"|
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|`druid.emitter.statsd.dogstatsd`|Flag to enable [DogStatsD](https://docs.datadoghq.com/developers/dogstatsd/) support. Causes dimensions to be included as tags, not as a part of the metric name. `convertRange` fields will be ignored.|no|false|
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|`druid.emitter.statsd.dogstatsdConstantTags`|If `druid.emitter.statsd.dogstatsd` is true, the tags in the JSON list of strings will be sent with every event.|no|[]|
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|`druid.emitter.statsd.dogstatsdServiceAsTag`|If `druid.emitter.statsd.dogstatsd` and `druid.emitter.statsd.dogstatsdServiceAsTag` are true, druid service (e.g. `druid/broker`, `druid/coordinator`, etc) is reported as a tag (e.g. `druid_service:druid/broker`) instead of being included in metric name (e.g. `druid.broker.query.time`) and `druid` is used as metric prefix (e.g. `druid.query.time`).|no|false|
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|`druid.emitter.statsd.dogstatsdEvents`|If `druid.emitter.statsd.dogstatsd` and `druid.emitter.statsd.dogstatsdEvents` are true, [Alert events](../../operations/alerts.md) are reported to DogStatsD.|no|false|
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### Druid to StatsD Event Converter
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Each metric sent to StatsD must specify a type, one of `[timer, counter, guage]`. StatsD Emitter expects this mapping to
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be provided as a JSON file. Additionally, this mapping specifies which dimensions should be included for each metric.
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StatsD expects that metric values be integers. Druid emits some metrics with values between the range 0 and 1. To accommodate these metrics they are converted
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into the range 0 to 100. This conversion can be enabled by setting the optional "convertRange" field true in the JSON mapping file.
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If the user does not specify their own JSON file, a default mapping is used. All
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metrics are expected to be mapped. Metrics which are not mapped will log an error.
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StatsD metric path is organized using the following schema:
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`<druid metric name> : { "dimensions" : <dimension list>, "type" : <StatsD type>, "convertRange" : true/false}`
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e.g.
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`query/time" : { "dimensions" : ["dataSource", "type"], "type" : "timer"}`
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For metrics which are emitted from multiple services with different dimensions, the metric name is prefixed with
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the service name.
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e.g.
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`"coordinator-segment/count" : { "dimensions" : ["dataSource"], "type" : "gauge" },
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"historical-segment/count" : { "dimensions" : ["dataSource", "tier", "priority"], "type" : "gauge" }`
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For most use-cases, the default mapping is sufficient.
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