dongjoon-hyun commented on a change in pull request #25769: [SPARK-29032][CORE] 
Add PrometheusServlet to monitor Master/Worker/Driver
URL: https://github.com/apache/spark/pull/25769#discussion_r332713899
 
 

 ##########
 File path: conf/metrics.properties.template
 ##########
 @@ -192,4 +201,10 @@
 
 #driver.source.jvm.class=org.apache.spark.metrics.source.JvmSource
 
-#executor.source.jvm.class=org.apache.spark.metrics.source.JvmSource
\ No newline at end of file
+#executor.source.jvm.class=org.apache.spark.metrics.source.JvmSource
+
+# Example configuration for PrometheusServlet
+#*.sink.prometheusServlet.class=org.apache.spark.metrics.sink.PrometheusServlet
+#*.sink.prometheusServlet.path=/metrics/prometheus
+#master.sink.prometheusServlet.path=/metrics/master/prometheus
+#applications.sink.prometheusServlet.path=/metrics/applications/prometheus
 
 Review comment:
   The key is generated by `MetricsSystem.buildRegistryName`, not by the 
individual `Sink`s.
   - http://spark.apache.org/docs/latest/monitoring.html#metrics
   > However, often times, users want to be able to track the metrics across 
apps for driver and executors, which is hard to do with application ID (i.e. 
spark.app.id) since it changes with every invocation of the app. For such use 
cases, a custom namespace can be specified for metrics reporting using 
spark.metrics.namespace configuration property. 
   
   I'd like to improve this further according to the additional requirement. 
Please let me know.

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