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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.yarn
import scala.collection.mutable.ArrayBuffer
import org.apache.spark.util.{IntParam, MemoryParam}
class ApplicationMasterArguments(val args: Array[String]) {
var userJar: String = null
var userClass: String = null
var primaryPyFile: String = null
var primaryRFile: String = null
var userArgs: Seq[String] = Nil
var executorMemory = 1024
var executorCores = 1
var propertiesFile: String = null
parseArgs(args.toList)
private def parseArgs(inputArgs: List[String]): Unit = {
val userArgsBuffer = new ArrayBuffer[String]()
var args = inputArgs
while (!args.isEmpty) {
// --num-workers, --worker-memory, and --worker-cores are deprecated since 1.0,
// the properties with executor in their names are preferred.
args match {
case ("--jar") :: value :: tail =>
userJar = value
args = tail
case ("--class") :: value :: tail =>
userClass = value
args = tail
case ("--primary-py-file") :: value :: tail =>
primaryPyFile = value
args = tail
case ("--primary-r-file") :: value :: tail =>
primaryRFile = value
args = tail
case ("--args" | "--arg") :: value :: tail =>
userArgsBuffer += value
args = tail
case ("--worker-memory" | "--executor-memory") :: MemoryParam(value) :: tail =>
executorMemory = value
args = tail
case ("--worker-cores" | "--executor-cores") :: IntParam(value) :: tail =>
executorCores = value
args = tail
case ("--properties-file") :: value :: tail =>
propertiesFile = value
args = tail
case _ =>
printUsageAndExit(1, args)
}
}
if (primaryPyFile != null && primaryRFile != null) {
// scalastyle:off println
System.err.println("Cannot have primary-py-file and primary-r-file at the same time")
// scalastyle:on println
System.exit(-1)
}
userArgs = userArgsBuffer.toList
}
def printUsageAndExit(exitCode: Int, unknownParam: Any = null) {
// scalastyle:off println
if (unknownParam != null) {
System.err.println("Unknown/unsupported param " + unknownParam)
}
System.err.println("""
|Usage: org.apache.spark.deploy.yarn.ApplicationMaster [options]
|Options:
| --jar JAR_PATH Path to your application's JAR file
| --class CLASS_NAME Name of your application's main class
| --primary-py-file A main Python file
| --primary-r-file A main R file
| --py-files PY_FILES Comma-separated list of .zip, .egg, or .py files to
| place on the PYTHONPATH for Python apps.
| --args ARGS Arguments to be passed to your application's main class.
| Multiple invocations are possible, each will be passed in order.
| --executor-cores NUM Number of cores for the executors (Default: 1)
| --executor-memory MEM Memory per executor (e.g. 1000M, 2G) (Default: 1G)
| --properties-file FILE Path to a custom Spark properties file.
""".stripMargin)
// scalastyle:on println
System.exit(exitCode)
}
}
object ApplicationMasterArguments {
val DEFAULT_NUMBER_EXECUTORS = 2
}
|
