org.apache.spark.deploy.LocalSparkCluster.scala Maven / Gradle / Ivy
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* 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
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*
* http://www.apache.org/licenses/LICENSE-2.0
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package org.apache.spark.deploy
import scala.collection.mutable.ArrayBuffer
import org.apache.spark.SparkConf
import org.apache.spark.deploy.master.Master
import org.apache.spark.deploy.worker.Worker
import org.apache.spark.internal.{config, Logging}
import org.apache.spark.rpc.RpcEnv
import org.apache.spark.util.Utils
/**
* Testing class that creates a Spark standalone process in-cluster (that is, running the
* spark.deploy.master.Master and spark.deploy.worker.Workers in the same JVMs). Executors launched
* by the Workers still run in separate JVMs. This can be used to test distributed operation and
* fault recovery without spinning up a lot of processes.
*/
private[spark]
class LocalSparkCluster(
numWorkers: Int,
coresPerWorker: Int,
memoryPerWorker: Int,
conf: SparkConf)
extends Logging {
private val localHostname = Utils.localHostName()
private val masterRpcEnvs = ArrayBuffer[RpcEnv]()
private val workerRpcEnvs = ArrayBuffer[RpcEnv]()
// exposed for testing
var masterWebUIPort = -1
def start(): Array[String] = {
logInfo("Starting a local Spark cluster with " + numWorkers + " workers.")
// Disable REST server on Master in this mode unless otherwise specified
val _conf = conf.clone()
.setIfMissing("spark.master.rest.enabled", "false")
.set(config.SHUFFLE_SERVICE_ENABLED.key, "false")
/* Start the Master */
val (rpcEnv, webUiPort, _) = Master.startRpcEnvAndEndpoint(localHostname, 0, 0, _conf)
masterWebUIPort = webUiPort
masterRpcEnvs += rpcEnv
val masterUrl = "spark://" + Utils.localHostNameForURI() + ":" + rpcEnv.address.port
val masters = Array(masterUrl)
/* Start the Workers */
for (workerNum <- 1 to numWorkers) {
val workerEnv = Worker.startRpcEnvAndEndpoint(localHostname, 0, 0, coresPerWorker,
memoryPerWorker, masters, null, Some(workerNum), _conf)
workerRpcEnvs += workerEnv
}
masters
}
def stop() {
logInfo("Shutting down local Spark cluster.")
// Stop the workers before the master so they don't get upset that it disconnected
workerRpcEnvs.foreach(_.shutdown())
masterRpcEnvs.foreach(_.shutdown())
workerRpcEnvs.foreach(_.awaitTermination())
masterRpcEnvs.foreach(_.awaitTermination())
masterRpcEnvs.clear()
workerRpcEnvs.clear()
}
}