Flink allows reporting metrics to external systems. For more information about Flink's metric system go to the [metric system documentation]({% link ops/metrics.md %}).
Metrics can be exposed to an external system by configuring one or several reporters in conf/flink-conf.yaml. These reporters will be instantiated on each job and task manager when they are started.
metrics.reporter.<name>.<config>: Generic setting <config> for the reporter named <name>.metrics.reporter.<name>.class: The reporter class to use for the reporter named <name>.metrics.reporter.<name>.factory.class: The reporter factory class to use for the reporter named <name>.metrics.reporter.<name>.interval: The reporter interval to use for the reporter named <name>.metrics.reporter.<name>.scope.delimiter: The delimiter to use for the identifier (default value use metrics.scope.delimiter) for the reporter named <name>.metrics.reporter.<name>.scope.variables.excludes: (optional) A semi-colon (;) separate list of variables that should be ignored by tag-based reporters (e.g., Prometheus, InfluxDB).metrics.reporters: (optional) A comma-separated include list of reporter names. By default all configured reporters will be used.All reporters must at least have either the class or factory.class property. Which property may/should be used depends on the reporter implementation. See the individual reporter configuration sections for more information. Some reporters (referred to as Scheduled) allow specifying a reporting interval. Below more settings specific to each reporter will be listed.
Example reporter configuration that specifies multiple reporters:
{% highlight yaml %} metrics.reporters: my_jmx_reporter,my_other_reporter
metrics.reporter.my_jmx_reporter.factory.class: org.apache.flink.metrics.jmx.JMXReporterFactory metrics.reporter.my_jmx_reporter.port: 9020-9040 metrics.reporter.my_jmx_reporter.scope.variables.excludes:job_id;task_attempt_num
metrics.reporter.my_other_reporter.class: org.apache.flink.metrics.graphite.GraphiteReporter metrics.reporter.my_other_reporter.host: 192.168.1.1 metrics.reporter.my_other_reporter.port: 10000
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Important: The jar containing the reporter must be accessible when Flink is started. Reporters that support the factory.class property can be loaded as [plugins]({% link deployment/filesystems/plugins.md %}). Otherwise the jar must be placed in the /lib folder. Reporters that are shipped with Flink (i.e., all reporters documented on this page) are available by default.
You can write your own Reporter by implementing the org.apache.flink.metrics.reporter.MetricReporter interface. If the Reporter should send out reports regularly you have to implement the Scheduled interface as well. By additionally implementing a MetricReporterFactory your reporter can also be loaded as a plugin.
The following sections list the supported reporters.
You don't have to include an additional dependency since the JMX reporter is available by default but not activated.
Parameters:
port - (optional) the port on which JMX listens for connections. In order to be able to run several instances of the reporter on one host (e.g. when one TaskManager is colocated with the JobManager) it is advisable to use a port range like 9250-9260. When a range is specified the actual port is shown in the relevant job or task manager log. If this setting is set Flink will start an extra JMX connector for the given port/range. Metrics are always available on the default local JMX interface.Example configuration:
{% highlight yaml %}
metrics.reporter.jmx.factory.class: org.apache.flink.metrics.jmx.JMXReporterFactory metrics.reporter.jmx.port: 8789
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Metrics exposed through JMX are identified by a domain and a list of key-properties, which together form the object name.
The domain always begins with org.apache.flink followed by a generalized metric identifier. In contrast to the usual identifier it is not affected by scope-formats, does not contain any variables and is constant across jobs. An example for such a domain would be org.apache.flink.job.task.numBytesOut.
The key-property list contains the values for all variables, regardless of configured scope formats, that are associated with a given metric. An example for such a list would be host=localhost,job_name=MyJob,task_name=MyTask.
The domain thus identifies a metric class, while the key-property list identifies one (or multiple) instances of that metric.
Parameters:
host - the Graphite server hostport - the Graphite server portprotocol - protocol to use (TCP/UDP)Example configuration:
{% highlight yaml %}
metrics.reporter.grph.factory.class: org.apache.flink.metrics.graphite.GraphiteReporterFactory metrics.reporter.grph.host: localhost metrics.reporter.grph.port: 2003 metrics.reporter.grph.protocol: TCP metrics.reporter.grph.interval: 60 SECONDS
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In order to use this reporter you must copy /opt/flink-metrics-influxdb-{{site.version}}.jar into the plugins/influxdb folder of your Flink distribution.
Parameters:
{% include generated/influxdb_reporter_configuration.html %}
Example configuration:
{% highlight yaml %}
metrics.reporter.influxdb.factory.class: org.apache.flink.metrics.influxdb.InfluxdbReporterFactory metrics.reporter.influxdb.scheme: http metrics.reporter.influxdb.host: localhost metrics.reporter.influxdb.port: 8086 metrics.reporter.influxdb.db: flink metrics.reporter.influxdb.username: flink-metrics metrics.reporter.influxdb.password: qwerty metrics.reporter.influxdb.retentionPolicy: one_hour metrics.reporter.influxdb.consistency: ANY metrics.reporter.influxdb.connectTimeout: 60000 metrics.reporter.influxdb.writeTimeout: 60000 metrics.reporter.influxdb.interval: 60 SECONDS
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The reporter would send metrics using http protocol to the InfluxDB server with the specified retention policy (or the default policy specified on the server). All Flink metrics variables (see List of all Variables) are exported as InfluxDB tags.
Parameters:
port - (optional) the port the Prometheus exporter listens on, defaults to 9249. In order to be able to run several instances of the reporter on one host (e.g. when one TaskManager is colocated with the JobManager) it is advisable to use a port range like 9250-9260.filterLabelValueCharacters - (optional) Specifies whether to filter label value characters. If enabled, all characters not matching [a-zA-Z0-9:_] will be removed, otherwise no characters will be removed. Before disabling this option please ensure that your label values meet the Prometheus requirements.Example configuration:
{% highlight yaml %}
metrics.reporter.prom.class: org.apache.flink.metrics.prometheus.PrometheusReporter
{% endhighlight %}
Flink metric types are mapped to Prometheus metric types as follows:
| Flink | Prometheus | Note |
|---|---|---|
| Counter | Gauge | Prometheus counters cannot be decremented. |
| Gauge | Gauge | Only numbers and booleans are supported. |
| Histogram | Summary | Quantiles .5, .75, .95, .98, .99 and .999 |
| Meter | Gauge | The gauge exports the meter's rate. |
All Flink metrics variables (see List of all Variables) are exported to Prometheus as labels.
Parameters:
{% include generated/prometheus_push_gateway_reporter_configuration.html %}
Example configuration:
{% highlight yaml %}
metrics.reporter.promgateway.class: org.apache.flink.metrics.prometheus.PrometheusPushGatewayReporter metrics.reporter.promgateway.host: localhost metrics.reporter.promgateway.port: 9091 metrics.reporter.promgateway.jobName: myJob metrics.reporter.promgateway.randomJobNameSuffix: true metrics.reporter.promgateway.deleteOnShutdown: false metrics.reporter.promgateway.groupingKey: k1=v1;k2=v2 metrics.reporter.promgateway.interval: 60 SECONDS
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The PrometheusPushGatewayReporter pushes metrics to a Pushgateway, which can be scraped by Prometheus.
Please see the Prometheus documentation for use-cases.
Parameters:
host - the StatsD server hostport - the StatsD server portExample configuration:
{% highlight yaml %}
metrics.reporter.stsd.factory.class: org.apache.flink.metrics.statsd.StatsDReporterFactory metrics.reporter.stsd.host: localhost metrics.reporter.stsd.port: 8125 metrics.reporter.stsd.interval: 60 SECONDS
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Note any variables in Flink metrics, such as <host>, <job_name>, <tm_id>, <subtask_index>, <task_name>, and <operator_name>, will be sent to Datadog as tags. Tags will look like host:localhost and job_name:myjobname.
Note Histograms are exposed as a series of gauges following the naming convention of Datadog histograms (<metric_name>.<aggregation>). The min aggregation is reported by default, whereas sum is not available. In contrast to Datadog-provided Histograms the reported aggregations are not computed for a specific reporting interval.
Parameters:
apikey - the Datadog API keytags - (optional) the global tags that will be applied to metrics when sending to Datadog. Tags should be separated by comma onlyproxyHost - (optional) The proxy host to use when sending to Datadog.proxyPort - (optional) The proxy port to use when sending to Datadog, defaults to 8080.dataCenter - (optional) The data center (EU/US) to connect to, defaults to US.maxMetricsPerRequest - (optional) The maximum number of metrics to include in each request, defaults to 2000.Example configuration:
{% highlight yaml %}
metrics.reporter.dghttp.factory.class: org.apache.flink.metrics.datadog.DatadogHttpReporterFactory metrics.reporter.dghttp.apikey: xxx metrics.reporter.dghttp.tags: myflinkapp,prod metrics.reporter.dghttp.proxyHost: my.web.proxy.com metrics.reporter.dghttp.proxyPort: 8080 metrics.reporter.dghttp.dataCenter: US metrics.reporter.dghttp.maxMetricsPerRequest: 2000 metrics.reporter.dghttp.interval: 60 SECONDS
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Example configuration:
{% highlight yaml %}
metrics.reporter.slf4j.factory.class: org.apache.flink.metrics.slf4j.Slf4jReporterFactory metrics.reporter.slf4j.interval: 60 SECONDS
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