Merge pull request #327 from lucarosellini/master

Added ‘-i’ command line option to Spark REPL

We had to create a new implementation of both scala.tools.nsc.CompilerCommand and scala.tools.nsc.Settings, because using scala.tools.nsc.GenericRunnerSettings would bring in other options (-howtorun, -save and -execute) which don’t make sense in Spark.
Any new Spark specific command line option could now be added to org.apache.spark.repl.SparkRunnerSettings class.

Since the behavior of loading a script from the command line should be the same as loading it using the “:load” command inside the shell, the script should be loaded when the SparkContext is available, that’s why we had to move the call to ‘loadfiles(settings)’ _after_ the call to postInitialization(). This still doesn’t work if ‘isAsync = true’.
This commit is contained in:
Matei Zaharia 2014-01-08 00:32:18 -05:00
commit 11891e68c3
3 changed files with 73 additions and 3 deletions

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@ -0,0 +1,37 @@
/*
* 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.repl
import scala.tools.nsc.{Settings, CompilerCommand}
import scala.Predef._
/**
* Command class enabling Spark-specific command line options (provided by
* <i>org.apache.spark.repl.SparkRunnerSettings</i>).
*/
class SparkCommandLine(args: List[String], override val settings: Settings)
extends CompilerCommand(args, settings) {
def this(args: List[String], error: String => Unit) {
this(args, new SparkRunnerSettings(error))
}
def this(args: List[String]) {
this(args, str => Console.println("Error: " + str))
}
}

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@ -835,7 +835,7 @@ class SparkILoop(in0: Option[BufferedReader], protected val out: JPrintWriter,
// runs :load `file` on any files passed via -i
def loadFiles(settings: Settings) = settings match {
case settings: GenericRunnerSettings =>
case settings: SparkRunnerSettings =>
for (filename <- settings.loadfiles.value) {
val cmd = ":load " + filename
command(cmd)
@ -902,7 +902,6 @@ class SparkILoop(in0: Option[BufferedReader], protected val out: JPrintWriter,
addThunk(printWelcome())
addThunk(initializeSpark())
loadFiles(settings)
// it is broken on startup; go ahead and exit
if (intp.reporter.hasErrors)
return false
@ -922,6 +921,8 @@ class SparkILoop(in0: Option[BufferedReader], protected val out: JPrintWriter,
}
// printWelcome()
loadFiles(settings)
try loop()
catch AbstractOrMissingHandler()
finally closeInterpreter()
@ -957,7 +958,7 @@ class SparkILoop(in0: Option[BufferedReader], protected val out: JPrintWriter,
/** process command-line arguments and do as they request */
def process(args: Array[String]): Boolean = {
val command = new CommandLine(args.toList, echo)
val command = new SparkCommandLine(args.toList, msg => echo(msg))
def neededHelp(): String =
(if (command.settings.help.value) command.usageMsg + "\n" else "") +
(if (command.settings.Xhelp.value) command.xusageMsg + "\n" else "")

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@ -0,0 +1,32 @@
/*
* 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.repl
import scala.tools.nsc.Settings
/**
* <i>scala.tools.nsc.Settings</i> implementation adding Spark-specific REPL
* command line options.
*/
class SparkRunnerSettings(error: String => Unit) extends Settings(error){
val loadfiles = MultiStringSetting(
"-i",
"file",
"load a file (assumes the code is given interactively)")
}