84 lines
3.2 KiB
Batchfile
84 lines
3.2 KiB
Batchfile
@echo off
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set SCALA_VERSION=2.9.3
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rem Figure out where the Spark framework is installed
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set FWDIR=%~dp0
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rem Export this as SPARK_HOME
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set SPARK_HOME=%FWDIR%
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rem Load environment variables from conf\spark-env.cmd, if it exists
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if exist "%FWDIR%conf\spark-env.cmd" call "%FWDIR%conf\spark-env.cmd"
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rem Test that an argument was given
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if not "x%1"=="x" goto arg_given
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echo Usage: run ^<spark-class^> [^<args^>]
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goto exit
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:arg_given
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set RUNNING_DAEMON=0
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if "%1"=="spark.deploy.master.Master" set RUNNING_DAEMON=1
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if "%1"=="spark.deploy.worker.Worker" set RUNNING_DAEMON=1
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if "x%SPARK_DAEMON_MEMORY%" == "x" set SPARK_DAEMON_MEMORY=512m
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set SPARK_DAEMON_JAVA_OPTS=%SPARK_DAEMON_JAVA_OPTS% -Dspark.akka.logLifecycleEvents=true
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if "%RUNNING_DAEMON%"=="1" set SPARK_MEM=%SPARK_DAEMON_MEMORY%
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rem Do not overwrite SPARK_JAVA_OPTS environment variable in this script
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if "%RUNNING_DAEMON%"=="0" set OUR_JAVA_OPTS=%SPARK_JAVA_OPTS%
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if "%RUNNING_DAEMON%"=="1" set OUR_JAVA_OPTS=%SPARK_DAEMON_JAVA_OPTS%
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rem Check that SCALA_HOME has been specified
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if not "x%SCALA_HOME%"=="x" goto scala_exists
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echo SCALA_HOME is not set
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goto exit
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:scala_exists
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rem Figure out how much memory to use per executor and set it as an environment
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rem variable so that our process sees it and can report it to Mesos
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if "x%SPARK_MEM%"=="x" set SPARK_MEM=512m
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rem Set JAVA_OPTS to be able to load native libraries and to set heap size
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set JAVA_OPTS=%OUR_JAVA_OPTS% -Djava.library.path=%SPARK_LIBRARY_PATH% -Xms%SPARK_MEM% -Xmx%SPARK_MEM%
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rem Attention: when changing the way the JAVA_OPTS are assembled, the change must be reflected in ExecutorRunner.scala!
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set CORE_DIR=%FWDIR%core
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set EXAMPLES_DIR=%FWDIR%examples
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set REPL_DIR=%FWDIR%repl
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rem Compute classpath using external script
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set DONT_PRINT_CLASSPATH=1
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call "%FWDIR%bin\compute-classpath.cmd"
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set DONT_PRINT_CLASSPATH=0
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rem Figure out the JAR file that our examples were packaged into.
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rem First search in the build path from SBT:
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for %%d in ("examples/target/scala-%SCALA_VERSION%/spark-examples*.jar") do (
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set SPARK_EXAMPLES_JAR=examples/target/scala-%SCALA_VERSION%/%%d
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)
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rem Then search in the build path from Maven:
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for %%d in ("examples/target/spark-examples*hadoop*.jar") do (
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set SPARK_EXAMPLES_JAR=examples/target/%%d
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)
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rem Figure out whether to run our class with java or with the scala launcher.
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rem In most cases, we'd prefer to execute our process with java because scala
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rem creates a shell script as the parent of its Java process, which makes it
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rem hard to kill the child with stuff like Process.destroy(). However, for
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rem the Spark shell, the wrapper is necessary to properly reset the terminal
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rem when we exit, so we allow it to set a variable to launch with scala.
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if "%SPARK_LAUNCH_WITH_SCALA%" NEQ 1 goto java_runner
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set RUNNER=%SCALA_HOME%\bin\scala
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# Java options will be passed to scala as JAVA_OPTS
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set EXTRA_ARGS=
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goto run_spark
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:java_runner
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set CLASSPATH=%CLASSPATH%;%SCALA_HOME%\lib\scala-library.jar;%SCALA_HOME%\lib\scala-compiler.jar;%SCALA_HOME%\lib\jline.jar
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set RUNNER=java
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if not "x%JAVA_HOME%"=="x" set RUNNER=%JAVA_HOME%\bin\java
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rem The JVM doesn't read JAVA_OPTS by default so we need to pass it in
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set EXTRA_ARGS=%JAVA_OPTS%
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:run_spark
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"%RUNNER%" -cp "%CLASSPATH%" %EXTRA_ARGS% %*
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:exit
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