Github user mccheah commented on a diff in the pull request: https://github.com/apache/spark/pull/21221#discussion_r209711557 --- Diff: core/src/main/scala/org/apache/spark/executor/ExecutorMetrics.scala --- @@ -0,0 +1,81 @@ +/* + * 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.executor + +import org.apache.spark.annotation.DeveloperApi +import org.apache.spark.metrics.ExecutorMetricType + +/** + * :: DeveloperApi :: + * Metrics tracked for executors and the driver. + * + * Executor-level metrics are sent from each executor to the driver as part of the Heartbeat. + */ +@DeveloperApi +class ExecutorMetrics private[spark] extends Serializable { + + // Metrics are indexed by MetricGetter.values + private val metrics = new Array[Long](ExecutorMetricType.values.length) --- End diff -- Unclear - if we expose these metrics to some external consumer via an API for example, then we almost certainly want to have a schema labelling these fields for consumption by e.g. dashboards. I think what we have here is fine for now.
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