squito commented on a change in pull request #23767: [SPARK-26329][CORE] Faster 
polling of executor memory metrics.
URL: https://github.com/apache/spark/pull/23767#discussion_r304113971
 
 

 ##########
 File path: 
core/src/main/scala/org/apache/spark/executor/ExecutorMetricsPoller.scala
 ##########
 @@ -0,0 +1,199 @@
+/*
+ * 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 java.lang.Long.{MAX_VALUE => LONG_MAX_VALUE}
+import java.util.concurrent.{ConcurrentHashMap, TimeUnit}
+import java.util.concurrent.atomic.{AtomicLong, AtomicLongArray}
+
+import scala.collection.mutable.HashMap
+
+import org.apache.spark.annotation.DeveloperApi
+import org.apache.spark.internal.Logging
+import org.apache.spark.memory.MemoryManager
+import org.apache.spark.metrics.ExecutorMetricType
+import org.apache.spark.util.{ThreadUtils, Utils}
+
+/**
+ * :: DeveloperApi ::
+ * A class that polls executor metrics, and tracks their peaks per task and 
per stage.
+ * Each executor keeps an instance of this class.
+ * The poll method polls the executor metrics, and is either run in its own 
thread or
+ * called by the executor's heartbeater thread, depending on configuration.
+ * The class keeps two ConcurrentHashMaps that are accessed (via its methods) 
by the
+ * executor's task runner threads concurrently with the polling thread. One 
thread may
+ * update one of these maps while another reads it, so the reading thread may 
not get
+ * the latest metrics, but this is ok.
+ *
+ * @param memoryManager the memory manager used by the executor.
+ * @param pollingInterval the polling interval in milliseconds.
+ */
+@DeveloperApi
+private[spark] class ExecutorMetricsPoller(
+    memoryManager: MemoryManager,
+    pollingInterval: Long)
+  extends Logging {
+
+  type StageKey = (Int, Int)
+  // tuple for Task Count and Metric Peaks
+  type TCMP = (AtomicLong, AtomicLongArray)
 
 Review comment:
   I'm not sure I see the value in the extra util methods, but I agree about 
having a small case class -- if nothing else, it would make the code a lot 
cleared if instead of `v._2` it was `taskCountAndMetrics.metrics`

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