This page describes how to pre-configure a bare metal node, build & configure Zeppelin on it, configure Zeppelin and connect it to existing YARN cluster running Hortonworks flavour of Hadoop. It also describes steps to configure Spark & Hive interpreter of Zeppelin.
This step is optional, however its nice to run Zeppelin under its own user. In case you do not like to use Zeppelin (hope not) the user could be deleted along with all the pacakges that were installed for Zeppelin, Zeppelin binary itself and associated directories.
Create a zeppelin user and switch to zeppelin user or if zeppelin user is already created then login as zeppelin.
useradd zeppelin
su - zeppelin
whoami
Assuming a zeppelin user is created then running whoami command must return
zeppelin
Its assumed in the rest of the document that zeppelin user is indeed created and below installation instructions are performed as zeppelin user.
Its assumed that the node has CentOS 6.x installed on it. Although any version of Linux distribution should work fine. The working directory of all prerequisite pacakges is /home/zeppelin/prerequisites, although any location could be used.
Intall latest stable version of Git. This document describes installation of version 2.4.8
yum install curl-devel expat-devel gettext-devel openssl-devel zlib-devel
yum install gcc perl-ExtUtils-MakeMaker
yum remove git
cd /home/zeppelin/prerequisites
wget https://github.com/git/git/archive/v2.4.8.tar.gz
tar xzf git-2.0.4.tar.gz
cd git-2.0.4
make prefix=/home/zeppelin/prerequisites/git all
make prefix=/home/zeppelin/prerequisites/git install
echo "export PATH=$PATH:/home/zeppelin/prerequisites/bin" >> /home/zeppelin/.bashrc
source /home/zeppelin/.bashrc
git --version
Assuming all the packages are successfully installed, running the version option with git command should display
git version 2.4.8
Zeppelin works well with 1.7.x version of Java runtime. Download JDK version 7 and a stable update and follow below instructions to install it.
cd /home/zeppelin/prerequisites/
#Download JDK 1.7, Assume JDK 7 update 79 is downloaded.
tar -xf jdk-7u79-linux-x64.tar.gz
echo "export JAVA_HOME=/home/zeppelin/prerequisites/jdk1.7.0_79" >> /home/zeppelin/.bashrc
source /home/zeppelin/.bashrc
echo $JAVA_HOME
Assuming all the packages are successfully installed, echoing JAVA_HOME environment variable should display
/home/zeppelin/prerequisites/jdk1.7.0_79
Download and install a stable version of Maven.
cd /home/zeppelin/prerequisites/
wget ftp://mirror.reverse.net/pub/apache/maven/maven-3/3.3.3/binaries/apache-maven-3.3.3-bin.tar.gz
tar -xf apache-maven-3.3.3-bin.tar.gz
cd apache-maven-3.3.3
export MAVEN_HOME=/home/zeppelin/prerequisites/apache-maven-3.3.3
echo "export PATH=$PATH:/home/zeppelin/prerequisites/apache-maven-3.3.3/bin" >> /home/zeppelin/.bashrc
source /home/zeppelin/.bashrc
mvn -version
Assuming all the packages are successfully installed, running the version option with mvn command should display
Apache Maven 3.3.3 (7994120775791599e205a5524ec3e0dfe41d4a06; 2015-04-22T04:57:37-07:00)
Maven home: /home/zeppelin/prerequisites/apache-maven-3.3.3
Java version: 1.7.0_79, vendor: Oracle Corporation
Java home: /home/zeppelin/prerequisites/jdk1.7.0_79/jre
Default locale: en_US, platform encoding: UTF-8
OS name: "linux", version: "2.6.32-358.el6.x86_64", arch: "amd64", family: "unix"
Zeppelin can work with multiple versions & distributions of Hadoop. A complete list is available here. This document assumes Hadoop 2.7.x client libraries including configuration files are installed on Zeppelin node. It also assumes /etc/hadoop/conf contains various Hadoop configuration files. The location of Hadoop configuration files may vary, hence use appropriate location.
hadoop version
Hadoop 2.7.1.2.3.1.0-2574
Subversion git@github.com:hortonworks/hadoop.git -r f66cf95e2e9367a74b0ec88b2df33458b6cff2d0
Compiled by jenkins on 2015-07-25T22:36Z
Compiled with protoc 2.5.0
From source with checksum 54f9bbb4492f92975e84e390599b881d
This command was run using /usr/hdp/2.3.1.0-2574/hadoop/lib/hadoop-common-2.7.1.2.3.1.0-2574.jar
Zeppelin can work with multiple versions of Spark. A complete list is available here. This document assumes Spark 1.6.1 is installed on Zeppelin node at /home/zeppelin/prerequisites/spark.
Checkout source code from https://github.com/apache/incubator-zeppelin
cd /home/zeppelin/
git clone https://github.com/apache/incubator-zeppelin.git
Zeppelin package is available at /home/zeppelin/incubator-zeppelin after the checkout completes.
As its assumed Hadoop 2.7.x is installed on the YARN cluster & Spark 1.6.1 is installed on Zeppelin node. Hence appropriate options are chosen to build Zeppelin. This is very important as Zeppelin will bundle corresponding Hadoop & Spark libraries and they must match the ones present on YARN cluster & Zeppelin Spark installation.
Zeppelin is a maven project and hence must be built with Apache Maven.
cd /home/zeppelin/incubator-zeppelin
mvn clean package -Pspark-1.3 -Dspark.version=1.3.1 -Dhadoop.version=2.7.0 -Phadoop-2.6 -Pyarn -DskipTests
Building Zeppelin for first time downloads various dependencies and hence takes few minutes to complete.
Zeppelin configurations needs to be modified to connect to YARN cluster. Create a copy of zeppelin environment XML
cp /home/zeppelin/incubator-zeppelin/conf/zeppelin-env.sh.template /home/zeppelin/incubator-zeppelin/conf/zeppelin-env.sh
Set the following properties
export JAVA_HOME=/home/zeppelin/prerequisites/jdk1.7.0_79
export HADOOP_CONF_DIR=/etc/hadoop/conf
export ZEPPELIN_JAVA_OPTS="-Dhdp.version=2.3.1.0-2574"
As /etc/hadoop/conf contains various configurations of YARN cluster, Zeppelin can now submit Spark/Hive jobs on YARN cluster form its web interface. The value of hdp.version is set to 2.3.1.0-2574. This can be obtained by running the following command
hdp-select status hadoop-client | sed 's/hadoop-client - \(.*\)/\1/'
# It returned 2.3.1.0-2574
cd /home/zeppelin/incubator-zeppelin
bin/zeppelin-daemon.sh start
After successful start, visit http://[zeppelin-server-host-name]:8080 with your web browser.
bin/zeppelin-daemon.sh stop
Zeppelin provides to various distributed processing frameworks to process data that ranges from Spark, Hive, Tajo, Ignite and Lens to name a few. This document describes to configure Hive & Spark interpreters.
Zeppelin supports Hive interpreter and hence copy hive-site.xml that should be present at /etc/hive/conf to the configuration folder of Zeppelin. Once Zeppelin is built it will have conf folder under /home/zeppelin/incubator-zeppelin.
cp /etc/hive/conf/hive-site.xml /home/zeppelin/incubator-zeppelin/conf
Once Zeppelin server has started successfully, visit http://[zeppelin-server-host-name]:8080 with your web browser. Click on Interpreter tab next to Notebook dropdown. Look for Hive configurations and set them appropriately. By default hive.hiveserver2.url will be pointing to localhost and hive.hiveserver2.password/hive.hiveserver2.user are set to hive/hive. Set them as per Hive installation on YARN cluster. Click on Save button. Once these configurations are updated, Zeppelin will prompt you to restart the interpreter. Accept the prompt and the interpreter will reload the configurations.
Look for Spark configrations and click edit button to add the following properties to make Spark Interpreter to run on YARN.
| Property Name | Property Value | Remarks |
|---|---|---|
| master | yarn-client | In yarn-client mode, the driver runs in the client process, and the application master is only used for requesting resources from YARN. |
| spark.driver.extraJavaOptions | -Dhdp.version=2.3.1.0-2574 | |
| spark.yarn.am.extraJavaOptions | -Dhdp.version=2.3.1.0-2574 | |
| spark.yarn.isPython | true | Distributes libraries required for pyspark in yarn-client mode if set to 'true'. |
Click on Save button. Once these configurations are updated, Zeppelin will prompt you to restart the interpreter. Accept the prompt and the interpreter will reload the configurations.
Spark & Hive notebooks can be written with Zeppelin now. The resulting Spark & Hive jobs will run on configured YARN cluster.
Zeppelin does not emit any kind of error messages on web interface when notebook/paragrah is run. If a paragraph fails it only displays ERROR. The reason for failure needs to be looked into log files which is present in logs directory under zeppelin installation base directory. Zeppelin creates a log file for each kind of interpreter.
[zeppelin@zeppelin-3529 logs]$ pwd
/home/zeppelin/incubator-zeppelin/logs
[zeppelin@zeppelin-3529 logs]$ ls -l
total 844
-rw-rw-r-- 1 zeppelin zeppelin 14648 Aug 3 14:45 zeppelin-interpreter-hive-zeppelin-zeppelin-3529.log
-rw-rw-r-- 1 zeppelin zeppelin 625050 Aug 3 16:05 zeppelin-interpreter-spark-zeppelin-zeppelin-3529.log
-rw-rw-r-- 1 zeppelin zeppelin 200394 Aug 3 21:15 zeppelin-zeppelin-zeppelin-3529.log
-rw-rw-r-- 1 zeppelin zeppelin 16162 Aug 3 14:03 zeppelin-zeppelin-zeppelin-3529.out
[zeppelin@zeppelin-3529 logs]$