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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.deploy
import java.io.File
import java.net.URL
import org.apache.spark.executor.ExecutorURLClassLoader
import scala.collection.mutable.ArrayBuffer
import scala.collection.mutable.HashMap
import scala.collection.mutable.Map
/**
* Scala code behind the spark-submit script. The script handles setting up the classpath with
* relevant Spark dependencies and provides a layer over the different cluster managers and deploy
* modes that Spark supports.
*/
object SparkSubmit {
val YARN = 1
val STANDALONE = 2
val MESOS = 4
val LOCAL = 8
val ALL_CLUSTER_MGRS = YARN | STANDALONE | MESOS | LOCAL
var clusterManager: Int = LOCAL
def main(args: Array[String]) {
val appArgs = new SparkSubmitArguments(args)
val (childArgs, classpath, sysProps, mainClass) = createLaunchEnv(appArgs)
launch(childArgs, classpath, sysProps, mainClass)
}
/**
* @return
* a tuple containing the arguments for the child, a list of classpath
* entries for the child, and the main class for the child
*/
def createLaunchEnv(appArgs: SparkSubmitArguments): (ArrayBuffer[String],
ArrayBuffer[String], Map[String, String], String) = {
if (appArgs.master.startsWith("yarn")) {
clusterManager = YARN
} else if (appArgs.master.startsWith("spark")) {
clusterManager = STANDALONE
} else if (appArgs.master.startsWith("mesos")) {
clusterManager = MESOS
} else if (appArgs.master.startsWith("local")) {
clusterManager = LOCAL
} else {
System.err.println("master must start with yarn, mesos, spark, or local")
System.exit(1)
}
// Because "yarn-standalone" and "yarn-client" encapsulate both the master
// and deploy mode, we have some logic to infer the master and deploy mode
// from each other if only one is specified, or exit early if they are at odds.
if (appArgs.deployMode == null && appArgs.master == "yarn-standalone") {
appArgs.deployMode = "cluster"
}
if (appArgs.deployMode == "cluster" && appArgs.master == "yarn-client") {
System.err.println("Deploy mode \"cluster\" and master \"yarn-client\" are at odds")
System.exit(1)
}
if (appArgs.deployMode == "client" && appArgs.master == "yarn-standalone") {
System.err.println("Deploy mode \"client\" and master \"yarn-standalone\" are at odds")
System.exit(1)
}
if (appArgs.deployMode == "cluster" && appArgs.master.startsWith("yarn")) {
appArgs.master = "yarn-standalone"
}
if (appArgs.deployMode != "cluster" && appArgs.master.startsWith("yarn")) {
appArgs.master = "yarn-client"
}
val deployOnCluster = Option(appArgs.deployMode).getOrElse("client") == "cluster"
val childClasspath = new ArrayBuffer[String]()
val childArgs = new ArrayBuffer[String]()
val sysProps = new HashMap[String, String]()
var childMainClass = ""
if (clusterManager == MESOS && deployOnCluster) {
System.err.println("Mesos does not support running the driver on the cluster")
System.exit(1)
}
if (!deployOnCluster) {
childMainClass = appArgs.mainClass
childClasspath += appArgs.primaryResource
} else if (clusterManager == YARN) {
childMainClass = "org.apache.spark.deploy.yarn.Client"
childArgs += ("--jar", appArgs.primaryResource)
childArgs += ("--class", appArgs.mainClass)
}
val options = List[OptionAssigner](
new OptionAssigner(appArgs.master, ALL_CLUSTER_MGRS, false, sysProp = "spark.master"),
new OptionAssigner(appArgs.driverMemory, YARN, true, clOption = "--driver-memory"),
new OptionAssigner(appArgs.name, YARN, true, clOption = "--name"),
new OptionAssigner(appArgs.queue, YARN, true, clOption = "--queue"),
new OptionAssigner(appArgs.queue, YARN, false, sysProp = "spark.yarn.queue"),
new OptionAssigner(appArgs.numExecutors, YARN, true, clOption = "--num-executors"),
new OptionAssigner(appArgs.numExecutors, YARN, false, sysProp = "spark.executor.instances"),
new OptionAssigner(appArgs.executorMemory, YARN, true, clOption = "--executor-memory"),
new OptionAssigner(appArgs.executorMemory, STANDALONE | MESOS | YARN, false,
sysProp = "spark.executor.memory"),
new OptionAssigner(appArgs.driverMemory, STANDALONE, true, clOption = "--memory"),
new OptionAssigner(appArgs.driverCores, STANDALONE, true, clOption = "--cores"),
new OptionAssigner(appArgs.executorCores, YARN, true, clOption = "--executor-cores"),
new OptionAssigner(appArgs.executorCores, YARN, false, sysProp = "spark.executor.cores"),
new OptionAssigner(appArgs.totalExecutorCores, STANDALONE | MESOS, false,
sysProp = "spark.cores.max"),
new OptionAssigner(appArgs.files, YARN, false, sysProp = "spark.yarn.dist.files"),
new OptionAssigner(appArgs.files, YARN, true, clOption = "--files"),
new OptionAssigner(appArgs.archives, YARN, false, sysProp = "spark.yarn.dist.archives"),
new OptionAssigner(appArgs.archives, YARN, true, clOption = "--archives"),
new OptionAssigner(appArgs.jars, YARN, true, clOption = "--addJars")
)
// more jars
if (appArgs.jars != null && !deployOnCluster) {
for (jar <- appArgs.jars.split(",")) {
childClasspath += jar
}
}
for (opt <- options) {
if (opt.value != null && deployOnCluster == opt.deployOnCluster &&
(clusterManager & opt.clusterManager) != 0) {
if (opt.clOption != null) {
childArgs += (opt.clOption, opt.value)
} else if (opt.sysProp != null) {
sysProps.put(opt.sysProp, opt.value)
}
}
}
if (deployOnCluster && clusterManager == STANDALONE) {
if (appArgs.supervise) {
childArgs += "--supervise"
}
childMainClass = "org.apache.spark.deploy.Client"
childArgs += "launch"
childArgs += (appArgs.master, appArgs.primaryResource, appArgs.mainClass)
}
// args
if (appArgs.childArgs != null) {
if (!deployOnCluster || clusterManager == STANDALONE) {
childArgs ++= appArgs.childArgs
} else if (clusterManager == YARN) {
for (arg <- appArgs.childArgs) {
childArgs += ("--args", arg)
}
}
}
(childArgs, childClasspath, sysProps, childMainClass)
}
def launch(childArgs: ArrayBuffer[String], childClasspath: ArrayBuffer[String],
sysProps: Map[String, String], childMainClass: String) {
val loader = new ExecutorURLClassLoader(new Array[URL](0),
Thread.currentThread.getContextClassLoader)
Thread.currentThread.setContextClassLoader(loader)
for (jar <- childClasspath) {
addJarToClasspath(jar, loader)
}
for ((key, value) <- sysProps) {
System.setProperty(key, value)
}
val mainClass = Class.forName(childMainClass, true, loader)
val mainMethod = mainClass.getMethod("main", new Array[String](0).getClass)
mainMethod.invoke(null, childArgs.toArray)
}
def addJarToClasspath(localJar: String, loader: ExecutorURLClassLoader) {
val localJarFile = new File(localJar)
if (!localJarFile.exists()) {
System.err.println("Jar does not exist: " + localJar + ". Skipping.")
}
val url = localJarFile.getAbsoluteFile.toURI.toURL
loader.addURL(url)
}
}
private[spark] class OptionAssigner(val value: String,
val clusterManager: Int,
val deployOnCluster: Boolean,
val clOption: String = null,
val sysProp: String = null
) { }
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