628932b8d0
Patch introduces the new way of working also retaining the existing ways of doing things.
For example build instruction for yarn in maven is
`mvn -Pyarn -PHadoop2.2 clean package -DskipTests`
in sbt it can become
`MAVEN_PROFILES="yarn, hadoop-2.2" sbt/sbt clean assembly`
Also supports
`sbt/sbt -Pyarn -Phadoop-2.2 -Dhadoop.version=2.2.0 clean assembly`
Author: Prashant Sharma <prashant.s@imaginea.com>
Author: Patrick Wendell <pwendell@gmail.com>
Closes #772 from ScrapCodes/sbt-maven and squashes the following commits:
a8ac951 [Prashant Sharma] Updated sbt version.
62b09bb [Prashant Sharma] Improvements.
fa6221d [Prashant Sharma] Excluding sql from mima
4b8875e [Prashant Sharma] Sbt assembly no longer builds tools by default.
72651ca [Prashant Sharma] Addresses code reivew comments.
acab73d [Prashant Sharma] Revert "Small fix to run-examples script."
ac4312c [Prashant Sharma] Revert "minor fix"
6af91ac [Prashant Sharma] Ported oldDeps back. + fixes issues with prev commit.
65cf06c [Prashant Sharma] Servelet API jars mess up with the other servlet jars on the class path.
446768e [Prashant Sharma] minor fix
89b9777 [Prashant Sharma] Merge conflicts
d0a02f2 [Prashant Sharma] Bumped up pom versions, Since the build now depends on pom it is better updated there. + general cleanups.
dccc8ac [Prashant Sharma] updated mima to check against 1.0
a49c61b [Prashant Sharma] Fix for tools jar
a2f5ae1 [Prashant Sharma] Fixes a bug in dependencies.
cf88758 [Prashant Sharma] cleanup
9439ea3 [Prashant Sharma] Small fix to run-examples script.
96cea1f [Prashant Sharma] SPARK-1776 Have Spark's SBT build read dependencies from Maven.
36efa62
[Patrick Wendell] Set project name in pom files and added eclipse/intellij plugins.
4973dbd [Patrick Wendell] Example build using pom reader.
156 lines
5.1 KiB
Bash
Executable file
156 lines
5.1 KiB
Bash
Executable file
#!/usr/bin/env bash
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#
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# Licensed to the Apache Software Foundation (ASF) under one or more
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# contributor license agreements. See the NOTICE file distributed with
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# this work for additional information regarding copyright ownership.
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# The ASF licenses this file to You under the Apache License, Version 2.0
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# (the "License"); you may not use this file except in compliance with
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# the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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cygwin=false
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case "`uname`" in
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CYGWIN*) cygwin=true;;
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esac
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SCALA_VERSION=2.10
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# Figure out where Spark is installed
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FWDIR="$(cd `dirname $0`/..; pwd)"
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# Export this as SPARK_HOME
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export SPARK_HOME="$FWDIR"
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. $FWDIR/bin/load-spark-env.sh
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if [ -z "$1" ]; then
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echo "Usage: spark-class <class> [<args>]" 1>&2
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exit 1
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fi
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if [ -n "$SPARK_MEM" ]; then
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echo -e "Warning: SPARK_MEM is deprecated, please use a more specific config option" 1>&2
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echo -e "(e.g., spark.executor.memory or SPARK_DRIVER_MEMORY)." 1>&2
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fi
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# Use SPARK_MEM or 512m as the default memory, to be overridden by specific options
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DEFAULT_MEM=${SPARK_MEM:-512m}
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SPARK_DAEMON_JAVA_OPTS="$SPARK_DAEMON_JAVA_OPTS -Dspark.akka.logLifecycleEvents=true"
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# Add java opts and memory settings for master, worker, history server, executors, and repl.
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case "$1" in
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# Master, Worker, and HistoryServer use SPARK_DAEMON_JAVA_OPTS (and specific opts) + SPARK_DAEMON_MEMORY.
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'org.apache.spark.deploy.master.Master')
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OUR_JAVA_OPTS="$SPARK_DAEMON_JAVA_OPTS $SPARK_MASTER_OPTS"
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OUR_JAVA_MEM=${SPARK_DAEMON_MEMORY:-$DEFAULT_MEM}
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;;
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'org.apache.spark.deploy.worker.Worker')
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OUR_JAVA_OPTS="$SPARK_DAEMON_JAVA_OPTS $SPARK_WORKER_OPTS"
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OUR_JAVA_MEM=${SPARK_DAEMON_MEMORY:-$DEFAULT_MEM}
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;;
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'org.apache.spark.deploy.history.HistoryServer')
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OUR_JAVA_OPTS="$SPARK_DAEMON_JAVA_OPTS $SPARK_HISTORY_OPTS"
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OUR_JAVA_MEM=${SPARK_DAEMON_MEMORY:-$DEFAULT_MEM}
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;;
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# Executors use SPARK_JAVA_OPTS + SPARK_EXECUTOR_MEMORY.
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'org.apache.spark.executor.CoarseGrainedExecutorBackend')
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OUR_JAVA_OPTS="$SPARK_JAVA_OPTS $SPARK_EXECUTOR_OPTS"
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OUR_JAVA_MEM=${SPARK_EXECUTOR_MEMORY:-$DEFAULT_MEM}
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;;
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'org.apache.spark.executor.MesosExecutorBackend')
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OUR_JAVA_OPTS="$SPARK_JAVA_OPTS $SPARK_EXECUTOR_OPTS"
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OUR_JAVA_MEM=${SPARK_EXECUTOR_MEMORY:-$DEFAULT_MEM}
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;;
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# Spark submit uses SPARK_SUBMIT_OPTS and SPARK_JAVA_OPTS
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'org.apache.spark.deploy.SparkSubmit')
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OUR_JAVA_OPTS="$SPARK_JAVA_OPTS $SPARK_SUBMIT_OPTS \
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-Djava.library.path=$SPARK_SUBMIT_LIBRARY_PATH"
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OUR_JAVA_MEM=${SPARK_DRIVER_MEMORY:-$DEFAULT_MEM}
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;;
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*)
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OUR_JAVA_OPTS="$SPARK_JAVA_OPTS"
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OUR_JAVA_MEM=${SPARK_DRIVER_MEMORY:-$DEFAULT_MEM}
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;;
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esac
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# Find the java binary
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if [ -n "${JAVA_HOME}" ]; then
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RUNNER="${JAVA_HOME}/bin/java"
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else
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if [ `command -v java` ]; then
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RUNNER="java"
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else
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echo "JAVA_HOME is not set" >&2
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exit 1
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fi
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fi
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# Set JAVA_OPTS to be able to load native libraries and to set heap size
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JAVA_OPTS="-XX:MaxPermSize=128m $OUR_JAVA_OPTS"
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JAVA_OPTS="$JAVA_OPTS -Xms$OUR_JAVA_MEM -Xmx$OUR_JAVA_MEM"
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# Load extra JAVA_OPTS from conf/java-opts, if it exists
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if [ -e "$FWDIR/conf/java-opts" ] ; then
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JAVA_OPTS="$JAVA_OPTS `cat $FWDIR/conf/java-opts`"
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fi
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export JAVA_OPTS
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# Attention: when changing the way the JAVA_OPTS are assembled, the change must be reflected in CommandUtils.scala!
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TOOLS_DIR="$FWDIR"/tools
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SPARK_TOOLS_JAR=""
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if [ -e "$TOOLS_DIR"/target/scala-$SCALA_VERSION/spark-tools*[0-9Tg].jar ]; then
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# Use the JAR from the SBT build
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export SPARK_TOOLS_JAR=`ls "$TOOLS_DIR"/target/scala-$SCALA_VERSION/spark-tools*[0-9Tg].jar`
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fi
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if [ -e "$TOOLS_DIR"/target/spark-tools*[0-9Tg].jar ]; then
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# Use the JAR from the Maven build
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# TODO: this also needs to become an assembly!
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export SPARK_TOOLS_JAR=`ls "$TOOLS_DIR"/target/spark-tools*[0-9Tg].jar`
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fi
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# Compute classpath using external script
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classpath_output=$($FWDIR/bin/compute-classpath.sh)
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if [[ "$?" != "0" ]]; then
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echo "$classpath_output"
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exit 1
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else
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CLASSPATH=$classpath_output
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fi
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if [[ "$1" =~ org.apache.spark.tools.* ]]; then
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if test -z "$SPARK_TOOLS_JAR"; then
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echo "Failed to find Spark Tools Jar in $FWDIR/tools/target/scala-$SCALA_VERSION/" 1>&2
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echo "You need to build spark before running $1." 1>&2
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exit 1
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fi
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CLASSPATH="$CLASSPATH:$SPARK_TOOLS_JAR"
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fi
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if $cygwin; then
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CLASSPATH=`cygpath -wp $CLASSPATH`
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if [ "$1" == "org.apache.spark.tools.JavaAPICompletenessChecker" ]; then
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export SPARK_TOOLS_JAR=`cygpath -w $SPARK_TOOLS_JAR`
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fi
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fi
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export CLASSPATH
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if [ "$SPARK_PRINT_LAUNCH_COMMAND" == "1" ]; then
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echo -n "Spark Command: " 1>&2
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echo "$RUNNER" -cp "$CLASSPATH" $JAVA_OPTS "$@" 1>&2
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echo -e "========================================\n" 1>&2
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fi
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exec "$RUNNER" -cp "$CLASSPATH" $JAVA_OPTS "$@"
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