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/*
* 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.io.{File, PrintWriter}
import java.net.URI
import org.json4s.jackson.JsonMethods._
import org.scalatest.BeforeAndAfter
import org.apache.spark.{SparkConf, SparkContext, SparkFunSuite}
import org.apache.spark.deploy.SparkHadoopUtil
import org.apache.spark.io.CompressionCodec
import org.apache.spark.util.{JsonProtocol, JsonProtocolSuite, Utils}
/**
* Test whether ReplayListenerBus replays events from logs correctly.
*/
class ReplayListenerSuite extends SparkFunSuite with BeforeAndAfter {
private val fileSystem = Utils.getHadoopFileSystem("/",
SparkHadoopUtil.get.newConfiguration(new SparkConf()))
private var testDir: File = _
before {
testDir = Utils.createTempDir()
}
after {
Utils.deleteRecursively(testDir)
}
test("Simple replay") {
val logFilePath = Utils.getFilePath(testDir, "events.txt")
val fstream = fileSystem.create(logFilePath)
val writer = new PrintWriter(fstream)
val applicationStart = SparkListenerApplicationStart("Greatest App (N)ever", None,
125L, "Mickey", None)
val applicationEnd = SparkListenerApplicationEnd(1000L)
// scalastyle:off println
writer.println(compact(render(JsonProtocol.sparkEventToJson(applicationStart))))
writer.println(compact(render(JsonProtocol.sparkEventToJson(applicationEnd))))
// scalastyle:on println
writer.close()
val conf = EventLoggingListenerSuite.getLoggingConf(logFilePath)
val logData = fileSystem.open(logFilePath)
val eventMonster = new EventMonster(conf)
try {
val replayer = new ReplayListenerBus()
replayer.addListener(eventMonster)
replayer.replay(logData, logFilePath.toString)
} finally {
logData.close()
}
assert(eventMonster.loggedEvents.size === 2)
assert(eventMonster.loggedEvents(0) === JsonProtocol.sparkEventToJson(applicationStart))
assert(eventMonster.loggedEvents(1) === JsonProtocol.sparkEventToJson(applicationEnd))
}
// This assumes the correctness of EventLoggingListener
test("End-to-end replay") {
testApplicationReplay()
}
// This assumes the correctness of EventLoggingListener
test("End-to-end replay with compression") {
CompressionCodec.ALL_COMPRESSION_CODECS.foreach { codec =>
testApplicationReplay(Some(codec))
}
}
/* ----------------- *
* Actual test logic *
* ----------------- */
/**
* Test end-to-end replaying of events.
*
* This test runs a few simple jobs with event logging enabled, and compares each emitted
* event to the corresponding event replayed from the event logs. This test makes the
* assumption that the event logging behavior is correct (tested in a separate suite).
*/
private def testApplicationReplay(codecName: Option[String] = None) {
val logDirPath = Utils.getFilePath(testDir, "test-replay")
fileSystem.mkdirs(logDirPath)
val conf = EventLoggingListenerSuite.getLoggingConf(logDirPath, codecName)
val sc = new SparkContext("local-cluster[2,1,1024]", "Test replay", conf)
// Run a few jobs
sc.parallelize(1 to 100, 1).count()
sc.parallelize(1 to 100, 2).map(i => (i, i)).count()
sc.parallelize(1 to 100, 3).map(i => (i, i)).groupByKey().count()
sc.parallelize(1 to 100, 4).map(i => (i, i)).groupByKey().persist().count()
sc.stop()
// Prepare information needed for replay
val applications = fileSystem.listStatus(logDirPath)
assert(applications != null && applications.size > 0)
val eventLog = applications.sortBy(_.getModificationTime).last
assert(!eventLog.isDirectory)
// Replay events
val logData = EventLoggingListener.openEventLog(eventLog.getPath(), fileSystem)
val eventMonster = new EventMonster(conf)
try {
val replayer = new ReplayListenerBus()
replayer.addListener(eventMonster)
replayer.replay(logData, eventLog.getPath().toString)
} finally {
logData.close()
}
// Verify the same events are replayed in the same order
assert(sc.eventLogger.isDefined)
val originalEvents = sc.eventLogger.get.loggedEvents
val replayedEvents = eventMonster.loggedEvents
originalEvents.zip(replayedEvents).foreach { case (e1, e2) =>
// Don't compare the JSON here because accumulators in StageInfo may be out of order
JsonProtocolSuite.assertEquals(
JsonProtocol.sparkEventFromJson(e1), JsonProtocol.sparkEventFromJson(e2))
}
}
/**
* A simple listener that buffers all the events it receives.
*
* The event buffering functionality must be implemented within EventLoggingListener itself.
* This is because of the following race condition: the event may be mutated between being
* processed by one listener and being processed by another. Thus, in order to establish
* a fair comparison between the original events and the replayed events, both functionalities
* must be implemented within one listener (i.e. the EventLoggingListener).
*
* This child listener inherits only the event buffering functionality, but does not actually
* log the events.
*/
private class EventMonster(conf: SparkConf)
extends EventLoggingListener("test", None, new URI("testdir"), conf) {
override def start() { }
}
}
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