Hi, Yes, I managed to create a register custom metrics by creating an implementation of org.apache.spark.metrics.source.Source and registering it to the metrics subsystem. Source is [Spark] private, so you need to create it under a org.apache.spark package. In my case, I'm dealing with Spark Streaming metrics, and I created my CustomStreamingSource under org.apache.spark.streaming as I also needed access to some [Streaming] private components.
Then, you register your new metric Source on the Spark's metric system, like so: SparkEnv.get.metricsSystem.registerSource(customStreamingSource) And it will get reported to the metrics Sync active on your system. By default, you can access them through the metric endpoint: http://<driver-host>:<ui-port>/metrics/json I hope this helps. -kr, Gerard. On Tue, Dec 30, 2014 at 3:32 PM, eshioji <[email protected]> wrote: > Hi, > > Did you find a way to do this / working on this? > Am trying to find a way to do this as well, but haven't been able to find a > way. > > > > -- > View this message in context: > http://apache-spark-developers-list.1001551.n3.nabble.com/Registering-custom-metrics-tp9030p9968.html > Sent from the Apache Spark Developers List mailing list archive at > Nabble.com. > > --------------------------------------------------------------------- > To unsubscribe, e-mail: [email protected] > For additional commands, e-mail: [email protected] > >
