vanzin commented on a change in pull request #27085: [SPARK-29779][CORE] Compact old event log files and cleanup - part 1 URL: https://github.com/apache/spark/pull/27085#discussion_r362940988
########## File path: core/src/test/scala/org/apache/spark/status/ListenerEventsTestHelper.scala ########## @@ -0,0 +1,201 @@ +/* + * 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.status + +import java.util.Properties + +import scala.collection.immutable.Map + +import org.apache.spark.{AccumulatorSuite, SparkContext, Success, TaskState} +import org.apache.spark.executor.{ExecutorMetrics, TaskMetrics} +import org.apache.spark.scheduler.{SparkListener, SparkListenerExecutorAdded, SparkListenerExecutorMetricsUpdate, SparkListenerExecutorRemoved, SparkListenerJobStart, SparkListenerStageCompleted, SparkListenerStageSubmitted, SparkListenerTaskEnd, SparkListenerTaskStart, StageInfo, TaskInfo, TaskLocality} +import org.apache.spark.scheduler.cluster.ExecutorInfo +import org.apache.spark.storage.{RDDInfo, StorageLevel} + +object ListenerEventsTestHelper { + + private var taskIdTracker = -1L + private var rddIdTracker = -1 + private var stageIdTracker = -1 + + def reset(): Unit = { + taskIdTracker = -1L + rddIdTracker = -1 + stageIdTracker = -1 + } + + def createJobProps(): Properties = { + val jobProps = new Properties() + jobProps.setProperty(SparkContext.SPARK_JOB_DESCRIPTION, "jobDescription") + jobProps.setProperty(SparkContext.SPARK_JOB_GROUP_ID, "jobGroup") + jobProps.setProperty(SparkContext.SPARK_SCHEDULER_POOL, "schedPool") + jobProps + } + + def createRddsWithId(ids: Seq[Int]): Seq[RDDInfo] = { + ids.map { rddId => + new RDDInfo(rddId, s"rdd${rddId}", 2, StorageLevel.NONE, false, Nil) + } + } + + def createRdds(count: Int): Seq[RDDInfo] = { + (1 to count).map { _ => + val rddId = nextRddId() + new RDDInfo(rddId, s"rdd${rddId}", 2, StorageLevel.NONE, false, Nil) + } + } + + def createStage(id: Int, rdds: Seq[RDDInfo], parentIds: Seq[Int]): StageInfo = { + new StageInfo(id, 0, s"stage${id}", 4, rdds, parentIds, s"details${id}") + } + + def createStage(rdds: Seq[RDDInfo], parentIds: Seq[Int]): StageInfo = { + createStage(nextStageId(), rdds, parentIds) + } + + def createTasks(ids: Seq[Long], execs: Array[String], time: Long): Seq[TaskInfo] = { + ids.zipWithIndex.map { case (id, idx) => + val exec = execs(idx % execs.length) + new TaskInfo(id, idx, 1, time, exec, s"$exec.example.com", + TaskLocality.PROCESS_LOCAL, idx % 2 == 0) + } + } + + def createTasks(count: Int, execs: Array[String], time: Long): Seq[TaskInfo] = { + createTasks((1 to count).map { _ => nextTaskId() }, execs, time) + } + + def createTaskWithNewAttempt(orig: TaskInfo, time: Long): TaskInfo = { + // Task reattempts have a different ID, but the same index as the original. + new TaskInfo(nextTaskId(), orig.index, orig.attemptNumber + 1, time, orig.executorId, + s"${orig.executorId}.example.com", TaskLocality.PROCESS_LOCAL, orig.speculative) + } + + def createTaskStartEvent( + taskInfo: TaskInfo, + stageId: Int, + attemptId: Int): SparkListenerTaskStart = { + SparkListenerTaskStart(stageId, attemptId, taskInfo) + } + + /** Create a stage submitted event for the specified stage Id. */ + def createStageSubmittedEvent(stageId: Int): SparkListenerStageSubmitted = { + SparkListenerStageSubmitted(new StageInfo(stageId, 0, stageId.toString, 0, + Seq.empty, Seq.empty, "details")) + } + + /** Create a stage completed event for the specified stage Id. */ + def createStageCompletedEvent(stageId: Int): SparkListenerStageCompleted = { + SparkListenerStageCompleted(new StageInfo(stageId, 0, stageId.toString, 0, + Seq.empty, Seq.empty, "details")) + } + + def createExecutorAddedEvent(executorId: Int): SparkListenerExecutorAdded = { + createExecutorAddedEvent(executorId.toString, 0) + } + + /** Create an executor added event for the specified executor Id. */ + def createExecutorAddedEvent(executorId: String, time: Long): SparkListenerExecutorAdded = { + SparkListenerExecutorAdded(time, executorId, + new ExecutorInfo("host1", 1, Map.empty, Map.empty)) + } + + def createExecutorRemovedEvent(executorId: Int): SparkListenerExecutorRemoved = { + createExecutorRemovedEvent(executorId.toString, 10L) + } + + /** Create an executor added event for the specified executor Id. */ + def createExecutorRemovedEvent(executorId: String, time: Long): SparkListenerExecutorRemoved = { + SparkListenerExecutorRemoved(time, executorId, "test") + } + + /** Create an executor metrics update event, with the specified executor metrics values. */ + def createExecutorMetricsUpdateEvent( + stageId: Int, + executorId: Int, + executorMetrics: Array[Long]): SparkListenerExecutorMetricsUpdate = { + val taskMetrics = TaskMetrics.empty + taskMetrics.incDiskBytesSpilled(111) + taskMetrics.incMemoryBytesSpilled(222) + val accum = Array((333L, 1, 1, taskMetrics.accumulators().map(AccumulatorSuite.makeInfo))) + val executorUpdates = Map((stageId, 0) -> new ExecutorMetrics(executorMetrics)) + SparkListenerExecutorMetricsUpdate(executorId.toString, accum, executorUpdates) + } + + case class JobInfo( + stageIds: Seq[Int], + stageToTaskIds: Map[Int, Seq[Long]], + stageToRddIds: Map[Int, Seq[Int]]) + + def pushJobEventsWithoutJobEnd( Review comment: Seems like this is only used in a later PR, might be good to add it there. ---------------------------------------------------------------- This is an automated message from the Apache Git Service. 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