squito commented on a change in pull request #24704: [SPARK-20286][core] Improve logic for timing out executors in dynamic allocation. URL: https://github.com/apache/spark/pull/24704#discussion_r288695928
########## File path: core/src/main/scala/org/apache/spark/scheduler/dynalloc/ExecutorMonitor.scala ########## @@ -0,0 +1,297 @@ +/* + * 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.dynalloc + +import java.util.concurrent.{ConcurrentHashMap, TimeUnit} +import java.util.concurrent.atomic.AtomicLong + +import scala.collection.JavaConverters._ +import scala.collection.mutable + +import org.apache.spark._ +import org.apache.spark.internal.Logging +import org.apache.spark.internal.config._ +import org.apache.spark.scheduler._ +import org.apache.spark.storage.RDDBlockId +import org.apache.spark.util.Clock + +/** + * A monitor for executor activity, used by ExecutorAllocationManager to detect idle executors. + */ +private[spark] class ExecutorMonitor( + conf: SparkConf, + client: ExecutorAllocationClient, + clock: Clock) extends SparkListener with Logging { + + private val idleTimeoutMs = TimeUnit.SECONDS.toMillis( + conf.get(DYN_ALLOCATION_EXECUTOR_IDLE_TIMEOUT)) + private val storageTimeoutMs = TimeUnit.SECONDS.toMillis( + conf.get(DYN_ALLOCATION_CACHED_EXECUTOR_IDLE_TIMEOUT)) + private val fetchFromShuffleSvcEnabled = conf.get(SHUFFLE_SERVICE_ENABLED) && + conf.get(SHUFFLE_SERVICE_FETCH_RDD_ENABLED) + + private val executors = new ConcurrentHashMap[String, Tracker]() + + // The following fields are an optimization to avoid having to scan all executors on every EAM + // schedule interval to find out which ones are timed out. They keep track of when the next + // executor timeout is expected to happen, and the current list of timed out executors. There's + // also a flag that forces the EAM task to recompute the timed out executors, in case some event + // arrives on the listener bus that may cause the current list of timed out executors to change. + // + // There's also per-executor state used for this purpose, so that recomputations can be triggered + // only when really necessary. + // + // Note that this isn't meant to, and cannot, always make the right decision about which executors + // are indeed timed out. For example, the EAM thread may detect a timed out executor while a new + // "task start" event has just been posted to the listener bus and hasn't yet been delivered to + // this listener. There are safeguards in other parts of the code that would prevent that executor + // from being removed. + private var nextTimeout = new AtomicLong(Long.MaxValue) + private var timedOutExecs = Seq.empty[String] + + if (idleTimeoutMs < 0) { + throw new SparkException(s"${DYN_ALLOCATION_EXECUTOR_IDLE_TIMEOUT.key} must be >= 0!") + } + if (storageTimeoutMs < 0) { + throw new SparkException(s"${DYN_ALLOCATION_CACHED_EXECUTOR_IDLE_TIMEOUT.key} must be >= 0!") Review comment: these checks could now go on the configs themselves ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
