Github user pwendell commented on a diff in the pull request:

    https://github.com/apache/spark/pull/86#discussion_r10553709
  
    --- Diff: 
core/src/main/scala/org/apache/spark/deploy/SparkSubmitArguments.scala ---
    @@ -0,0 +1,176 @@
    +/*
    + * 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 scala.collection.mutable.ArrayBuffer
    +
    +/**
    + * Parses and encapsulates arguments from the spark-submit script.
    + */
    +private[spark] class SparkSubmitArguments(args: Array[String]) {
    +  var master: String = null
    +  var deployMode: String = null
    +  var executorMemory: String = null
    +  var executorCores: String = null
    +  var totalExecutorCores: String = null
    +  var driverMemory: String = null
    +  var driverCores: String = null
    +  var supervise: Boolean = false
    +  var queue: String = null
    +  var numExecutors: String = null
    +  var files: String = null
    +  var archives: String = null
    +  var mainClass: String = null
    +  var primaryResource: String = null
    +  var name: String = null
    +  var childArgs: ArrayBuffer[String] = new ArrayBuffer[String]()
    +  var moreJars: String = null
    +
    +  loadEnvVars()
    +  parseArgs(args.toList)
    +
    +  def loadEnvVars() {
    +    master = System.getenv("MASTER")
    +    deployMode = System.getenv("DEPLOY_MODE")
    +  }
    +
    +// TODO: some deploy mode and master need to be specified by default. 
local seems like a good choice.  or we should just error?
    +// TODO: throw an exception instead of exiting to make things easier on 
tests?
    +
    +  def parseArgs(args: List[String]) {
    +    if (args.size == 0) {
    +      printUsageAndExit(1)
    +      System.exit(1)
    +    }
    +    primaryResource = args(0)
    +    parseOpts(args.tail)
    +  }
    +
    +  def parseOpts(opts: List[String]): Unit = opts match {
    +    case ("--name") :: value :: tail =>
    +      name = value
    +      parseOpts(tail)
    +
    +    case ("--master") :: value :: tail =>
    +      master = value
    +      parseOpts(tail)
    +
    +    case ("--class") :: value :: tail =>
    +      mainClass = value
    +      parseOpts(tail)
    +
    +    case ("--deploy-mode") :: value :: tail =>
    +      if (value != "client" && value != "cluster") {
    +        System.err.println("--deploy-mode must be either \"client\" or 
\"cluster\"")
    +        System.exit(1)
    +      }
    +      deployMode = value
    +      parseOpts(tail)
    +
    +    case ("--num-executors") :: value :: tail =>
    +      numExecutors = value
    +      parseOpts(tail)
    +
    +    case ("--total-executor-cores") :: value :: tail =>
    +      totalExecutorCores = value
    +      parseOpts(tail)
    +
    +    case ("--executor-cores") :: value :: tail =>
    +      executorCores = value
    +      parseOpts(tail)
    +
    +    case ("--executor-memory") :: value :: tail =>
    +      executorMemory = value
    +      parseOpts(tail)
    +
    +    case ("--driver-memory") :: value :: tail =>
    +      driverMemory = value
    +      parseOpts(tail)
    +
    +    case ("--driver-cores") :: value :: tail =>
    +      driverCores = value
    +      parseOpts(tail)
    +
    +    case ("--supervise") :: tail =>
    +      supervise = true
    +      parseOpts(tail)
    +
    +    case ("--queue") :: value :: tail =>
    +      queue = value
    +      parseOpts(tail)
    +
    +    case ("--files") :: value :: tail =>
    +      files = value
    +      parseOpts(tail)
    +
    +    case ("--archives") :: value :: tail =>
    +      archives = value
    +      parseOpts(tail)
    +
    +    case ("--arg") :: value :: tail =>
    +      childArgs += value
    +      parseOpts(tail)
    +
    +    case ("--more-jars") :: value :: tail =>
    +      moreJars = value
    +      parseOpts(tail)
    +
    +    case ("--help" | "-h") :: tail =>
    +      printUsageAndExit(0)
    +
    +    case Nil =>
    +
    +    case _ =>
    +      printUsageAndExit(1, opts)
    +  }
    +
    +  def printUsageAndExit(exitCode: Int, unknownParam: Any = null) {
    +    if (unknownParam != null) {
    +      System.err.println("Unknown/unsupported param " + unknownParam)
    +    }
    +    System.err.println(
    +      """Usage: spark-submit <primary binary> [options]
    +        |Options:
    +        |  --master MASTER_URL          spark://host:port, 
mesos://host:port, yarn, or local.
    +        |  --deploy-mode DEPLOY_MODE    Mode to deploy the app in, either 
\"client\" or \"cluster\".
    +        |  --class CLASS_NAME           Name of your application's main 
class (required for Java apps).
    +        |  --arg ARG                    Argument to be passed to your 
application's main class.
    +        |                               Multiple invocations are possible, 
each will be passed in order.
    +        |  --driver-memory MEM          Memory for driver (e.g. 1000M, 2G) 
(Default: 512 Mb).
    +        |  --name NAME                  The name of your application 
(Default: Spark).
    +        |
    +        | Spark standalone with cluster deploy mode only:
    +        |  --driver-cores CORES         Cores for driver.
    +        |  --supervise                  Whether to restart the driver on 
failure.
    +        |
    +        | Spark standalone and Mesos only:
    +        |  --total-executor-cores CORES Total cores for all executors.
    +        |
    +        | YARN-only:
    +        |  --executor-cores NUM         Number of cores per executor 
(Default: 1).
    +        |  --executor-memory MEM        Memory per executor (e.g. 1000M, 
2G) (Default: 1G).
    +        |  --more-jars JARS             For \"cluster\" deploy mode, a 
comma-separated list of local jars
    --- End diff --
    
    any reason not to call this `--add-jars` since it relates to `addJars`?


---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at infrastruct...@apache.org or file a JIRA ticket
with INFRA.
---

Reply via email to