Monitoring Apache Spark with Prometheus

There are few ways to monitoring Apache Spark with Prometheus.

One of the way is by JmxSink + jmx-exporter

Preparations

• Uncomment *.sink.jmx.class=org.apache.spark.metrics.sink.JmxSink in spark/conf/metrics.properties
• Download jmx-exporter by following link on prometheus/jmx_exporter
• Download Example prometheus config file

Use it in spark-shell or spark-submit

In the following command, the jmx_prometheus_javaagent-0.3.1.jar file and the spark.yml are downloaded in previous steps. It might need be changed accordingly.

bin/spark-shell --conf "spark.driver.extraJavaOptions=-javaagent:jmx_prometheus_javaagent-0.3.1.jar=8080:spark.yml" 

Access it

After running, we can access with localhost:8080/metrics

Next

It can then configure prometheus to scrape the metrics from jmx-exporter.

NOTE: We have to handle to discovery part properly if it's running in a cluster environment.

I have followed the GitHub readme and it worked for me (the original blog assumes that you use the Banzai Cloud fork as they were expected the PR to accepted upstream). They externalized the sink to a standalone project (https://github.com/banzaicloud/spark-metrics) and I used that to make it work with Spark 2.3.

Actually you can scrape (Prometheus) through JMX, and in that case you don't need the sink - the Banzai Cloud folks did a post about how they use JMX for Kafka, but actually you can do this for any JVM.

So basically you have two options:

• use the sink

• or go through JMX,

they open sourced both options.