Github user tgravescs commented on a diff in the pull request:
https://github.com/apache/spark/pull/21635#discussion_r203033339
--- Diff:
resource-managers/yarn/src/main/scala/org/apache/spark/deploy/yarn/ApplicationMasterSource.scala
---
@@ -0,0 +1,49 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
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+ *
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+ */
+
+package org.apache.spark.deploy.yarn
+
+import com.codahale.metrics.{Gauge, MetricRegistry}
+
+import org.apache.spark.metrics.source.Source
+
+private[spark] class ApplicationMasterSource(yarnAllocator: YarnAllocator)
extends Source {
+
+ override val sourceName: String = "applicationMaster"
--- End diff --
Ah good catch, I was thinking it automatically added the namespace but it
looks like that is only on executor and driver instances. Perhaps we should
just add it as system that will append in the spark.metrics.namespace setting.
for yarn I see the applicationmaster metrics the same as the dag scheduler
source, executor allocation manager, etc.. Allowing user to control this makes
sense to me. thoughts?
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