Ambari Metrics Emitter
To use this Apache Druid extension, include ambari-metrics-emitter
in the extensions load list.
Introduction
This extension emits Druid metrics to an ambari-metrics carbon server. Events are sent after been pickled (i.e., batched). The size of the batch is configurable.
Configuration
All the configuration parameters for ambari-metrics emitter are under druid.emitter.ambari-metrics
.
property | description | required? | default |
---|---|---|---|
druid.emitter.ambari-metrics.hostname | The hostname of the ambari-metrics server. | yes | none |
druid.emitter.ambari-metrics.port | The port of the ambari-metrics server. | yes | none |
druid.emitter.ambari-metrics.protocol | The protocol used to send metrics to ambari metrics collector. One of http/https | no | http |
druid.emitter.ambari-metrics.trustStorePath | Path to trustStore to be used for https | no | none |
druid.emitter.ambari-metrics.trustStoreType | trustStore type to be used for https | no | none |
druid.emitter.ambari-metrics.trustStoreType | trustStore password to be used for https | no | none |
druid.emitter.ambari-metrics.batchSize | Number of events to send as one batch. | no | 100 |
druid.emitter.ambari-metrics.eventConverter | Filter and converter of druid events to ambari-metrics timeline event(please see next section). | yes | none |
druid.emitter.ambari-metrics.flushPeriod | Queue flushing period in milliseconds. | no | 1 minute |
druid.emitter.ambari-metrics.maxQueueSize | Maximum size of the queue used to buffer events. | no | MAX_INT |
druid.emitter.ambari-metrics.alertEmitters | List of emitters where alerts will be forwarded to. | no | empty list (no forwarding) |
druid.emitter.ambari-metrics.emitWaitTime | wait time in milliseconds to try to send the event otherwise emitter will throwing event. | no | 0 |
druid.emitter.ambari-metrics.waitForEventTime | waiting time in milliseconds if necessary for an event to become available. | no | 1000 (1 sec) |
Druid to Ambari Metrics Timeline Event Converter
Ambari Metrics Timeline Event Converter defines a mapping between druid metrics name plus dimensions to a timeline event metricName.
ambari-metrics metric path is organized using the following schema:
<namespacePrefix>.[<druid service name>].[<druid hostname>].<druid metrics dimensions>.<druid metrics name>
Properly naming the metrics is critical to avoid conflicts, confusing data and potentially wrong interpretation later on.
Example druid.historical.hist-host1:8080.MyDataSourceName.GroupBy.query/time
:
druid
-> namespace prefixhistorical
-> service namehist-host1:8080
-> druid hostnameMyDataSourceName
-> dimension valueGroupBy
-> dimension valuequery/time
-> metric name
We have two different implementation of event converter:
Send-All converter
The first implementation called all
, will send all the druid service metrics events.
The path will be in the form <namespacePrefix>.[<druid service name>].[<druid hostname>].<dimensions values ordered by dimension's name>.<metric>
User has control of <namespacePrefix>.[<druid service name>].[<druid hostname>].
druid.emitter.ambari-metrics.eventConverter={"type":"all", "namespacePrefix": "druid.test", "appName":"druid"}
White-list based converter
The second implementation called whiteList
, will send only the white listed metrics and dimensions.
Same as for the all
converter user has control of <namespacePrefix>.[<druid service name>].[<druid hostname>].
White-list based converter comes with the following default white list map located under resources in ./src/main/resources/defaultWhiteListMap.json
Although user can override the default white list map by supplying a property called mapPath
.
This property is a String containing the path for the file containing white list map JSON object.
For example the following converter will read the map from the file /pathPrefix/fileName.json
.
druid.emitter.ambari-metrics.eventConverter={"type":"whiteList", "namespacePrefix": "druid.test", "ignoreHostname":true, "appName":"druid", "mapPath":"/pathPrefix/fileName.json"}
Druid emits a huge number of metrics we highly recommend to use the whiteList
converter