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Bootstrap script for installing Apache Zeppelin on an Amazon EMR Cluster. Verfied on Amazon EMR release 4.x.
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#!/bin/bash -ex | |
if [ "$(cat /mnt/var/lib/info/instance.json | jq -r .isMaster)" == "true" ]; then | |
# Install Git | |
sudo yum -y install git | |
# Install Maven | |
wget -P /tmp http://apache.mirrors.spacedump.net/maven/maven-3/3.3.3/binaries/apache-maven-3.3.3-bin.tar.gz | |
sudo mkdir /opt/apache-maven | |
sudo tar -xvzf /tmp/apache-maven-3.3.3-bin.tar.gz -C /opt/apache-maven | |
cat <<EOF >> /home/hadoop/.bashrc | |
# Maven | |
export MAVEN_HOME=/opt/apache-maven/apache-maven-3.3.3 | |
export PATH=\$MAVEN_HOME/bin:\$PATH | |
EOF | |
source /home/hadoop/.bashrc | |
# Install Zeppelin | |
git clone https://github.com/apache/incubator-zeppelin.git /home/hadoop/zeppelin | |
cd /home/hadoop/zeppelin | |
mvn clean package -Pspark-1.4 -Dhadoop.version=2.6.0 -Phadoop-2.6 -Pyarn -DskipTests | |
# Configure Zeppelin | |
SPARK_DEFAULTS=/usr/lib/spark/conf/spark-defaults.conf | |
declare -a ZEPPELIN_JAVA_OPTS | |
if [ -f $SPARK_DEFAULTS ]; then | |
ZEPPELIN_JAVA_OPTS=("${ZEPPELIN_JAVA_OPTS[@]}" \ | |
$(grep spark.executor.instances $SPARK_DEFAULTS | awk '{print "-D" $1 "=" $2}')) | |
ZEPPELIN_JAVA_OPTS=("${ZEPPELIN_JAVA_OPTS[@]}" \ | |
$(grep spark.executor.cores $SPARK_DEFAULTS | awk '{print "-D" $1 "=" $2}')) | |
ZEPPELIN_JAVA_OPTS=("${ZEPPELIN_JAVA_OPTS[@]}" \ | |
$(grep spark.executor.memory $SPARK_DEFAULTS | awk '{print "-D" $1 "=" $2}')) | |
ZEPPELIN_JAVA_OPTS=("${ZEPPELIN_JAVA_OPTS[@]}" \ | |
$(grep spark.default.parallelism $SPARK_DEFAULTS | awk '{print "-D" $1 "=" $2}')) | |
ZEPPELIN_JAVA_OPTS=("${ZEPPELIN_JAVA_OPTS[@]}" \ | |
$(grep spark.yarn.executor.memoryOverhead $SPARK_DEFAULTS | awk '{print "-D" $1 "=" $2}')) | |
fi | |
echo "${ZEPPELIN_JAVA_OPTS[@]}" | |
cp conf/zeppelin-env.sh.template conf/zeppelin-env.sh | |
cat <<EOF >> conf/zeppelin-env.sh | |
export MASTER=yarn-client | |
export HADOOP_HOME=/usr/lib/hadoop | |
export HADOOP_CONF_DIR=/etc/hadoop/conf | |
export ZEPPELIN_SPARK_USEHIVECONTEXT=false | |
export ZEPPELIN_JAVA_OPTS="${ZEPPELIN_JAVA_OPTS[@]}" | |
export PYTHONPATH=$PYTHONPATH:/usr/lib/spark/python | |
EOF | |
cat <<'EOF' > 0001-Add-Hadoop-libraries-and-EMRFS-to-Zeppelin-classpath.patch | |
From 2b0226e45207758d526522bd22d497c9def7c008 Mon Sep 17 00:00:00 2001 | |
From: Anders Hammar <[email protected]> | |
Date: Fri, 18 Sep 2015 10:24:18 +0000 | |
Subject: [PATCH] Add Hadoop libraries and EMRFS to Zeppelin classpath | |
--- | |
bin/interpreter.sh | 13 +++++++++++++ | |
1 file changed, 13 insertions(+) | |
diff --git a/bin/interpreter.sh b/bin/interpreter.sh | |
index e03a13b..de458f2 100755 | |
--- a/bin/interpreter.sh | |
+++ b/bin/interpreter.sh | |
@@ -89,8 +89,21 @@ if [[ "${INTERPRETER_ID}" == "spark" ]]; then | |
# CDH | |
addJarInDir "${HADOOP_HOME}" | |
addJarInDir "${HADOOP_HOME}/lib" | |
+ | |
+ # Hadoop libraries | |
+ addJarInDir "${HADOOP_HOME}/../hadoop-hdfs" | |
+ addJarInDir "${HADOOP_HOME}/../hadoop-mapreduce" | |
+ addJarInDir "${HADOOP_HOME}/../hadoop-yarn" | |
+ | |
+ # Hadoop LZO | |
+ addJarInDir "${HADOOP_HOME}/../hadoop-lzo/lib" | |
fi | |
+ # Add EMRFS libraries | |
+ addJarInDir "/usr/share/aws/emr/emrfs/conf" | |
+ addJarInDir "/usr/share/aws/emr/emrfs/lib" | |
+ addJarInDir "/usr/share/aws/emr/emrfs/auxlib" | |
+ | |
addJarInDir "${INTERPRETER_DIR}/dep" | |
PYSPARKPATH="${ZEPPELIN_HOME}/interpreter/spark/pyspark/pyspark.zip:${ZEPPELIN_HOME}/interpreter/spark/pyspark/py4j-0.8.2.1-src.zip" | |
-- | |
2.1.0 | |
EOF | |
git config user.email "[email protected]" | |
git config user.name "Your Name" | |
git am 0001-Add-Hadoop-libraries-and-EMRFS-to-Zeppelin-classpath.patch | |
# Start the Zeppelin daemon | |
bin/zeppelin-daemon.sh start | |
fi |
Hi I am using Zeppelin on the new EMR as it's now a built in option. I notice there's no %dep interpreter. How are we to add external packages?
anyone got it working on EMR 5.8.0 ?
since there were no answers, I've created a simple bootstrap script to install Zeppelin 0.8 on EMR (tested with EMR 5.16.0)
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Hello guys, can this be run on an existing EMR cluster?