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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.worker
import java.lang.management.ManagementFactory
import scala.annotation.tailrec
import org.apache.spark.util.{IntParam, MemoryParam, Utils}
import org.apache.spark.SparkConf
/**
* Command-line parser for the worker.
*/
private[worker] class WorkerArguments(args: Array[String], conf: SparkConf) {
var host = Utils.localHostName()
var port = 0
var webUiPort = 8081
var cores = inferDefaultCores()
var memory = inferDefaultMemory()
var masters: Array[String] = null
var workDir: String = null
var propertiesFile: String = null
// Check for settings in environment variables
if (System.getenv("SPARK_WORKER_PORT") != null) {
port = System.getenv("SPARK_WORKER_PORT").toInt
}
if (System.getenv("SPARK_WORKER_CORES") != null) {
cores = System.getenv("SPARK_WORKER_CORES").toInt
}
if (conf.getenv("SPARK_WORKER_MEMORY") != null) {
memory = Utils.memoryStringToMb(conf.getenv("SPARK_WORKER_MEMORY"))
}
if (System.getenv("SPARK_WORKER_WEBUI_PORT") != null) {
webUiPort = System.getenv("SPARK_WORKER_WEBUI_PORT").toInt
}
if (System.getenv("SPARK_WORKER_DIR") != null) {
workDir = System.getenv("SPARK_WORKER_DIR")
}
parse(args.toList)
// This mutates the SparkConf, so all accesses to it must be made after this line
propertiesFile = Utils.loadDefaultSparkProperties(conf, propertiesFile)
if (conf.contains("spark.worker.ui.port")) {
webUiPort = conf.get("spark.worker.ui.port").toInt
}
checkWorkerMemory()
@tailrec
private def parse(args: List[String]): Unit = args match {
case ("--ip" | "-i") :: value :: tail =>
Utils.checkHost(value, "ip no longer supported, please use hostname " + value)
host = value
parse(tail)
case ("--host" | "-h") :: value :: tail =>
Utils.checkHost(value, "Please use hostname " + value)
host = value
parse(tail)
case ("--port" | "-p") :: IntParam(value) :: tail =>
port = value
parse(tail)
case ("--cores" | "-c") :: IntParam(value) :: tail =>
cores = value
parse(tail)
case ("--memory" | "-m") :: MemoryParam(value) :: tail =>
memory = value
parse(tail)
case ("--work-dir" | "-d") :: value :: tail =>
workDir = value
parse(tail)
case "--webui-port" :: IntParam(value) :: tail =>
webUiPort = value
parse(tail)
case ("--properties-file") :: value :: tail =>
propertiesFile = value
parse(tail)
case ("--help") :: tail =>
printUsageAndExit(0)
case value :: tail =>
if (masters != null) { // Two positional arguments were given
printUsageAndExit(1)
}
masters = Utils.parseStandaloneMasterUrls(value)
parse(tail)
case Nil =>
if (masters == null) { // No positional argument was given
printUsageAndExit(1)
}
case _ =>
printUsageAndExit(1)
}
/**
* Print usage and exit JVM with the given exit code.
*/
def printUsageAndExit(exitCode: Int) {
// scalastyle:off println
System.err.println(
"Usage: Worker [options] <master>\n" +
"\n" +
"Master must be a URL of the form spark://hostname:port\n" +
"\n" +
"Options:\n" +
" -c CORES, --cores CORES Number of cores to use\n" +
" -m MEM, --memory MEM Amount of memory to use (e.g. 1000M, 2G)\n" +
" -d DIR, --work-dir DIR Directory to run apps in (default: SPARK_HOME/work)\n" +
" -i HOST, --ip IP Hostname to listen on (deprecated, please use --host or -h)\n" +
" -h HOST, --host HOST Hostname to listen on\n" +
" -p PORT, --port PORT Port to listen on (default: random)\n" +
" --webui-port PORT Port for web UI (default: 8081)\n" +
" --properties-file FILE Path to a custom Spark properties file.\n" +
" Default is conf/spark-defaults.conf.")
// scalastyle:on println
System.exit(exitCode)
}
def inferDefaultCores(): Int = {
Runtime.getRuntime.availableProcessors()
}
def inferDefaultMemory(): Int = {
val ibmVendor = System.getProperty("java.vendor").contains("IBM")
var totalMb = 0
try {
// scalastyle:off classforname
val bean = ManagementFactory.getOperatingSystemMXBean()
if (ibmVendor) {
val beanClass = Class.forName("com.ibm.lang.management.OperatingSystemMXBean")
val method = beanClass.getDeclaredMethod("getTotalPhysicalMemory")
totalMb = (method.invoke(bean).asInstanceOf[Long] / 1024 / 1024).toInt
} else {
val beanClass = Class.forName("com.sun.management.OperatingSystemMXBean")
val method = beanClass.getDeclaredMethod("getTotalPhysicalMemorySize")
totalMb = (method.invoke(bean).asInstanceOf[Long] / 1024 / 1024).toInt
}
// scalastyle:on classforname
} catch {
case e: Exception => {
totalMb = 2*1024
// scalastyle:off println
System.out.println("Failed to get total physical memory. Using " + totalMb + " MB")
// scalastyle:on println
}
}
// Leave out 1 GB for the operating system, but don't return a negative memory size
math.max(totalMb - 1024, Utils.DEFAULT_DRIVER_MEM_MB)
}
def checkWorkerMemory(): Unit = {
if (memory <= 0) {
val message = "Memory is below 1MB, or missing a M/G at the end of the memory specification?"
throw new IllegalStateException(message)
}
}
}
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