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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