SaurabhChawla100 commented on a change in pull request #27636: 
[SPARK-30873][CORE][YARN]Handling Node Decommissioning for Yarn cluster manger 
in Spark
URL: https://github.com/apache/spark/pull/27636#discussion_r392686355
 
 

 ##########
 File path: 
core/src/main/scala/org/apache/spark/scheduler/DecommissionTracker.scala
 ##########
 @@ -0,0 +1,405 @@
+/*
+ * 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
+
+import java.text.SimpleDateFormat
+import java.util.concurrent.TimeUnit
+import java.util.concurrent.atomic.{AtomicBoolean, AtomicInteger}
+
+import scala.collection.mutable.HashMap
+
+import org.apache.spark.{ExecutorAllocationClient, SparkConf, SparkContext}
+import org.apache.spark.annotation.DeveloperApi
+import org.apache.spark.internal.Logging
+import org.apache.spark.internal.config
+import org.apache.spark.util.{Clock, SystemClock, ThreadUtils, Utils}
+
+/**
+ * DecommissionTracker tracks the list of decommissioned nodes.
+ * This decommission trackers maintains the decommissioned nodes state.
+ * Decommission tracker schedules the executor decommission and shuffle
+ * decommission for that node.
+ */
+private[scheduler] class DecommissionTracker (
+  conf: SparkConf,
+  executorAllocClient: Option[ExecutorAllocationClient],
+  dagScheduler: Option[DAGScheduler],
+  clock: Clock = new SystemClock()) extends Logging {
+
+  def this(sc: SparkContext,
+           client: Option[ExecutorAllocationClient],
+           dagScheduler: Option[DAGScheduler]) = {
+    this(sc.conf, client, dagScheduler)
+  }
+
+  // Decommission thread of node decommissioning!!
+  private val decommissionThread =
+    
ThreadUtils.newDaemonThreadPoolScheduledExecutor("node-decommissioning-thread", 
20)
+
+  // Contains workers hostname which are decommissioning. Added when spot-loss 
or
+  // graceful decommissioning event arrives from the AM. And is removed when 
the
+  // last node (identified by nodeId) is running again.
+  private val decommissionHostnameMap = new HashMap[String, 
NodeDecommissionInfo]
+
+  private val minDecommissionTime =
+    conf.get(config.GRACEFUL_DECOMMISSION_MIN_TERMINATION_TIME_IN_SEC)
+
+  private val executorDecommissionLeasePct =
+    conf.get(config.GRACEFUL_DECOMMISSION_EXECUTOR_LEASETIME_PCT)
+
+  private val shuffleDataDecommissionLeasePct =
+    conf.get(config.GRACEFUL_DECOMMISSION_SHUFFLEDATA_LEASETIME_PCT)
+
+  /*
+   * Is the node decommissioned i.e from driver point of
+   * view the node is considered decommissioned.
+   */
+  def isNodeDecommissioned(hostname: String): Boolean = synchronized {
+    decommissionHostnameMap.get(hostname) match {
+      case None => false
+      case Some(info) =>
+        return info.state == NodeDecommissionState.SHUFFLEDATA_DECOMMISSIONED 
||
+          info.state == NodeDecommissionState.TERMINATED
+    }
+  }
+
+  /*
+   * Is the node decommissioning i.e from driver point of
+   * view the node is candidate for decommissioning.
+   * Not necessarily decommissioned or terminated
+   */
+  def isNodeDecommissioning(hostname: String): Boolean = synchronized {
+    decommissionHostnameMap.contains(hostname)
+  }
+
+  /**
+   * visible only for Unit Test
+   */
+  def getDecommissionedNodeState(hostname:
+                                 String): Option[NodeDecommissionState.Value] 
= synchronized {
+    decommissionHostnameMap.get(hostname) match {
+      case Some(info) => Some(info.state)
+      case _ => None
+    }
+  }
+
+  def addNodeToDecommission(hostname: String, terminationTimeMs: Long,
+                            reason: NodeDecommissionReason): Unit = 
synchronized {
+
+    val df: SimpleDateFormat = new SimpleDateFormat("YY/MM/dd HH:mm:ss")
+    val tDateTime = df.format(terminationTimeMs)
+    val curTimeMs = clock.getTimeMillis()
+
+    if (terminationTimeMs <= curTimeMs) {
+      // Ignoring the decommission request if termination
+      // time is less than or same as the current time
+      logWarning(s"Ignoring decommissioning request for host $hostname as" +
+        s" terminationTimeMs ${terminationTimeMs} is less" +
+        s" than current time ${curTimeMs}")
+      return
+    }
+
+    // Override decommissionHostnameMap in case termination time is less than
+    // existing the terminationTime in decommissionHostnameMap.
+    if (decommissionHostnameMap.contains(hostname)) {
+      val nodeDecommissionInfo = decommissionHostnameMap(hostname)
+      // There will be no duplicate entry of terminationTimeMs in 
decommissionHostnameMap
+      // since the terminationTime is updated only when it is less than the 
existing termination
+      // time in decommissionHostnameMap
+      if (decommissionHostnameMap(hostname).terminationTime <= 
terminationTimeMs) {
+        logDebug(
+          s"""Ignoring decommissioning """ +
+            s""" request : 
{"node":"$hostname","reason":"${reason.message}",terminationTime"""" +
+            s""":"$tDateTime"} current : 
{"node":"$hostname",$nodeDecommissionInfo}""")
+        return
+      } else {
+        logInfo(s"Updating the termination time to :${terminationTimeMs} in " +
+          s"decommission tracker for the hostname ${hostname}")
+      }
+    }
+
+    val delay = terminationTimeMs - curTimeMs
+
+    var executorDecommissionTimeMs = terminationTimeMs
+    var shuffleDataDecommissionTimeMs = terminationTimeMs
+
+    // if delay is less than a minDecommissionTime than decommission 
immediately
+    if (terminationTimeMs - curTimeMs < minDecommissionTime * 1000) {
+      executorDecommissionTimeMs = curTimeMs
+      // Added the delay of 1 second in case of delay is less than a minute
+      // Since we want executor to be decommissioned first
+      // than after that shuffleDataDecommission
+      shuffleDataDecommissionTimeMs = curTimeMs + 1000
 
 Review comment:
   This is the life cycle of the nodes which is decommissioned
   DECOMMISSIONING -> EXECUTOR_DECOMMISSIONED -> SHUFFLEDATA_DECOMMISSIONED -> 
TERMINATED.
   
   **Now the query is what happen if SHUFFLEDATA_DECOMMISSIONED  happens before 
or at same time of the EXECUTOR_DECOMMISSIONED** - If we make 
SHUFFLEDATA_DECOMMISSIONED before the EXECUTOR_DECOMMISSIONED than there is a 
chance that some of the task will erred out due to fetch failed exception since 
we have already done SHUFFLEDATA_DECOMMISSIONED here. 
   
   Also I have explained this here in this comment 
https://github.com/apache/spark/pull/27636#issuecomment-593338415

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