Github user vanzin commented on a diff in the pull request: https://github.com/apache/spark/pull/21635#discussion_r197976701 --- Diff: resource-managers/yarn/src/main/scala/org/apache/spark/scheduler/cluster/YarnClusterSchedulerSource.scala --- @@ -0,0 +1,35 @@ +/* + * 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 + * (the "License"); you may not use this file except in compliance with + * the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.spark.scheduler.cluster + +import com.codahale.metrics.{Gauge, MetricRegistry} + +import org.apache.spark.deploy.yarn.FailureTracker +import org.apache.spark.metrics.source.Source + +private[spark] class YarnClusterSchedulerSource(failureTracker: FailureTracker) extends Source { + + override val sourceName: String = "yarn_cluster" + override val metricRegistry: MetricRegistry = new MetricRegistry() + + metricRegistry.register( --- End diff -- The mechanics of adding the metric source are ok, but have you thought of other metrics to expose? `YarnAllocator` has a lot of things that could be easily hooked up here.
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