cd4ed29326
1. Makes assembly and examples jar naming consistent in maven/sbt. 2. Updates make-distribution.sh to use Maven and fixes some bugs. 3. Updates the create-release script to call make-distribution script. Author: Patrick Wendell <pwendell@gmail.com> Closes #502 from pwendell/make-distribution and squashes the following commits: 1a97f0d [Patrick Wendell] SPARK-1119 and other build improvements
101 lines
4.8 KiB
Bash
Executable file
101 lines
4.8 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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# This script computes Spark's classpath and prints it to stdout; it's used by both the "run"
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# script and the ExecutorRunner in standalone cluster mode.
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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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. $FWDIR/bin/load-spark-env.sh
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# Build up classpath
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CLASSPATH="$SPARK_CLASSPATH:$FWDIR/conf"
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ASSEMBLY_DIR="$FWDIR/assembly/target/scala-$SCALA_VERSION"
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# First check if we have a dependencies jar. If so, include binary classes with the deps jar
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if [ -f "$ASSEMBLY_DIR"/spark-assembly*hadoop*-deps.jar ]; then
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CLASSPATH="$CLASSPATH:$FWDIR/core/target/scala-$SCALA_VERSION/classes"
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CLASSPATH="$CLASSPATH:$FWDIR/repl/target/scala-$SCALA_VERSION/classes"
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CLASSPATH="$CLASSPATH:$FWDIR/mllib/target/scala-$SCALA_VERSION/classes"
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CLASSPATH="$CLASSPATH:$FWDIR/bagel/target/scala-$SCALA_VERSION/classes"
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CLASSPATH="$CLASSPATH:$FWDIR/graphx/target/scala-$SCALA_VERSION/classes"
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CLASSPATH="$CLASSPATH:$FWDIR/streaming/target/scala-$SCALA_VERSION/classes"
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CLASSPATH="$CLASSPATH:$FWDIR/tools/target/scala-$SCALA_VERSION/classes"
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CLASSPATH="$CLASSPATH:$FWDIR/sql/catalyst/target/scala-$SCALA_VERSION/classes"
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CLASSPATH="$CLASSPATH:$FWDIR/sql/core/target/scala-$SCALA_VERSION/classes"
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CLASSPATH="$CLASSPATH:$FWDIR/sql/hive/target/scala-$SCALA_VERSION/classes"
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DEPS_ASSEMBLY_JAR=`ls "$ASSEMBLY_DIR"/spark-assembly*hadoop*-deps.jar`
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CLASSPATH="$CLASSPATH:$DEPS_ASSEMBLY_JAR"
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else
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# Else use spark-assembly jar from either RELEASE or assembly directory
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if [ -f "$FWDIR/RELEASE" ]; then
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ASSEMBLY_JAR=`ls "$FWDIR"/lib/spark-assembly*hadoop*.jar`
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else
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ASSEMBLY_JAR=`ls "$ASSEMBLY_DIR"/spark-assembly*hadoop*.jar`
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fi
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CLASSPATH="$CLASSPATH:$ASSEMBLY_JAR"
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fi
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# When Hive support is needed, Datanucleus jars must be included on the classpath.
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# Datanucleus jars do not work if only included in the uber jar as plugin.xml metadata is lost.
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# Both sbt and maven will populate "lib_managed/jars/" with the datanucleus jars when Spark is
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# built with Hive, so first check if the datanucleus jars exist, and then ensure the current Spark
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# assembly is built for Hive, before actually populating the CLASSPATH with the jars.
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# Note that this check order is faster (by up to half a second) in the case where Hive is not used.
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num_datanucleus_jars=$(ls "$FWDIR"/lib_managed/jars/ 2>/dev/null | grep "datanucleus-.*\\.jar" | wc -l)
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if [ $num_datanucleus_jars -gt 0 ]; then
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AN_ASSEMBLY_JAR=${ASSEMBLY_JAR:-$DEPS_ASSEMBLY_JAR}
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num_hive_files=$(jar tvf "$AN_ASSEMBLY_JAR" org/apache/hadoop/hive/ql/exec 2>/dev/null | wc -l)
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if [ $num_hive_files -gt 0 ]; then
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echo "Spark assembly has been built with Hive, including Datanucleus jars on classpath" 1>&2
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DATANUCLEUSJARS=$(echo "$FWDIR/lib_managed/jars"/datanucleus-*.jar | tr " " :)
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CLASSPATH=$CLASSPATH:$DATANUCLEUSJARS
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fi
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fi
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# Add test classes if we're running from SBT or Maven with SPARK_TESTING set to 1
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if [[ $SPARK_TESTING == 1 ]]; then
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CLASSPATH="$CLASSPATH:$FWDIR/core/target/scala-$SCALA_VERSION/test-classes"
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CLASSPATH="$CLASSPATH:$FWDIR/repl/target/scala-$SCALA_VERSION/test-classes"
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CLASSPATH="$CLASSPATH:$FWDIR/mllib/target/scala-$SCALA_VERSION/test-classes"
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CLASSPATH="$CLASSPATH:$FWDIR/bagel/target/scala-$SCALA_VERSION/test-classes"
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CLASSPATH="$CLASSPATH:$FWDIR/graphx/target/scala-$SCALA_VERSION/test-classes"
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CLASSPATH="$CLASSPATH:$FWDIR/streaming/target/scala-$SCALA_VERSION/test-classes"
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CLASSPATH="$CLASSPATH:$FWDIR/sql/catalyst/target/scala-$SCALA_VERSION/test-classes"
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CLASSPATH="$CLASSPATH:$FWDIR/sql/core/target/scala-$SCALA_VERSION/test-classes"
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CLASSPATH="$CLASSPATH:$FWDIR/sql/hive/target/scala-$SCALA_VERSION/test-classes"
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fi
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# Add hadoop conf dir if given -- otherwise FileSystem.*, etc fail !
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# Note, this assumes that there is either a HADOOP_CONF_DIR or YARN_CONF_DIR which hosts
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# the configurtion files.
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if [ "x" != "x$HADOOP_CONF_DIR" ]; then
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CLASSPATH="$CLASSPATH:$HADOOP_CONF_DIR"
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fi
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if [ "x" != "x$YARN_CONF_DIR" ]; then
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CLASSPATH="$CLASSPATH:$YARN_CONF_DIR"
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fi
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echo "$CLASSPATH"
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