Apache Zeppelin (Incubating)

Clone this repo:
  1. 848dbd0 [Zeppelin-1229] Add cache buster for zeppelin-web build by Damien CORNEAU · 2 years, 5 months ago master
  2. 2696930 [MINOR] Make scala version definition consistent in Travis.CI configuration by Luciano Resende · 2 years, 5 months ago
  3. 40cfc5a ZEPPELIN-1225. Errors before the last shell command are ignored by Jeff Zhang · 2 years, 5 months ago
  4. 211e55d [ZEPPELIN-1235] ignore rules for files generated by zeppelin-examples by Prabhjyot Singh · 2 years, 5 months ago
  5. 7cc908b [MINOR] Enable pyspark test in local mode by Jongyoul Lee · 2 years, 5 months ago


Documentation: User Guide
Mailing Lists: User and Dev mailing list
Continuous Integration: Build Status
Contributing: Contribution Guide
Issue Tracker: Jira
License: Apache 2.0

Zeppelin, a web-based notebook that enables interactive data analytics. You can make beautiful data-driven, interactive and collaborative documents with SQL, Scala and more.

Core feature:

  • Web based notebook style editor.
  • Built-in Apache Spark support

To know more about Zeppelin, visit our web site http://zeppelin.apache.org


  • Git
  • Java 1.7
  • Tested on Mac OSX, Ubuntu 14.X, CentOS 6.X, Windows 7 Pro SP1
  • Maven (if you want to build from the source code)
  • Node.js Package Manager (npm, downloaded by Maven during build phase)

Getting Started

Before Build

If you don't have requirements prepared, install it. (The installation method may vary according to your environment, example is for Ubuntu.)

sudo apt-get update
sudo apt-get install git
sudo apt-get install openjdk-7-jdk
sudo apt-get install npm
sudo apt-get install libfontconfig

Proxy settings (optional)

First of all, set your proxy configuration on Maven settings.xml.

      <!-- <username>usr</username>
      <password>pwd</password> -->
      <!-- <username>usr</username>
      <password>pwd</password> -->

Then, run these commands from shell.

npm config set proxy http://localhost:3128
npm config set https-proxy http://localhost:3128
npm config set registry "http://registry.npmjs.org/"
npm config set strict-ssl false
git config --global http.proxy http://localhost:3128
git config --global https.proxy http://localhost:3128
git config --global url."http://".insteadOf git://

Cleanup: set active false in Maven settings.xml and run these commands.

npm config rm proxy
npm config rm https-proxy
git config --global --unset http.proxy
git config --global --unset https.proxy
git config --global --unset url."http://".insteadOf


  • If you are behind NTLM proxy you can use Cntlm Authentication Proxy.
  • Replace localhost:3128 with the standard pattern http://user:pwd@host:port.

Install maven

wget http://www.eu.apache.org/dist/maven/maven-3/3.3.3/binaries/apache-maven-3.3.3-bin.tar.gz
sudo tar -zxf apache-maven-3.3.3-bin.tar.gz -C /usr/local/
sudo ln -s /usr/local/apache-maven-3.3.3/bin/mvn /usr/local/bin/mvn


  • Ensure node is installed by running node --version
  • Ensure maven is running version 3.1.x or higher with mvn -version
  • Configure maven to use more memory than usual by export MAVEN_OPTS="-Xmx2g -XX:MaxPermSize=1024m"


If you want to build Zeppelin from the source, please first clone this repository, then:

mvn clean package -DskipTests [Options]

Each Interpreter requires different Options.

Spark Interpreter

To build with a specific Spark version, Hadoop version or specific features, define one or more of the following profiles and options:


Set spark major version

Available profiles are


minor version can be adjusted by -Dspark.version=x.x.x


set hadoop major version

Available profiles are


minor version can be adjusted by -Dhadoop.version=x.x.x

-Pscala-[version] (optional)

set scala version (default 2.10) Available profiles are

-Pyarn (optional)

enable YARN support for local mode

YARN for local mode is not supported for Spark v1.5.0 or higher. Set SPARK_HOME instead.

-Ppyspark (optional)

enable PySpark support for local mode.

-Pr (optional)

enable R support with SparkR integration.

-Psparkr (optional)

another R support with SparkR integration as well as local mode support.

-Pvendor-repo (optional)

enable 3rd party vendor repository (cloudera)

-Pmapr[version] (optional)

For the MapR Hadoop Distribution, these profiles will handle the Hadoop version. As MapR allows different versions of Spark to be installed, you should specify which version of Spark is installed on the cluster by adding a Spark profile (-Pspark-1.2, -Pspark-1.3, etc.) as needed. The correct Maven artifacts can be found for every version of MapR at http://doc.mapr.com

Available profiles are


-Pexamples (optional)

Bulid examples under zeppelin-examples directory


Here're some examples:

# build with spark-2.0, scala-2.11
mvn clean package -Pspark-2.0 -Phadoop-2.4 -Pyarn -Ppyspark -Psparkr -Pscala-2.11

# build with spark-1.6, scala-2.10
mvn clean package -Pspark-1.6 -Phadoop-2.4 -Pyarn -Ppyspark -Psparkr

# spark-cassandra integration
mvn clean package -Pcassandra-spark-1.5 -Dhadoop.version=2.6.0 -Phadoop-2.6 -DskipTests

# with CDH
mvn clean package -Pspark-1.5 -Dhadoop.version=2.6.0-cdh5.5.0 -Phadoop-2.6 -Pvendor-repo -DskipTests

# with MapR
mvn clean package -Pspark-1.5 -Pmapr50 -DskipTests

Ignite Interpreter

mvn clean package -Dignite.version=1.6.0 -DskipTests

Scalding Interpreter

mvn clean package -Pscalding -DskipTests


If you wish to configure Zeppelin option (like port number), configure the following files:


(You can copy ./conf/zeppelin-env.sh.template into ./conf/zeppelin-env.sh. Same for zeppelin-site.xml.)


Without SPARK_HOME and HADOOP_HOME, Zeppelin uses embedded Spark and Hadoop binaries that you have specified with mvn build option. If you want to use system provided Spark and Hadoop, export SPARK_HOME and HADOOP_HOME in zeppelin-env.sh. You can use any supported version of spark without rebuilding Zeppelin.

# ./conf/zeppelin-env.sh
export SPARK_HOME=...
export HADOOP_HOME=...

External cluster configuration


# ./conf/zeppelin-env.sh
export MASTER=mesos://...
export ZEPPELIN_JAVA_OPTS="-Dspark.executor.uri=/path/to/spark-*.tgz" or SPARK_HOME="/path/to/spark_home"
export MESOS_NATIVE_LIBRARY=/path/to/libmesos.so

If you set SPARK_HOME, you should deploy spark binary on the same location to all worker nodes. And if you set spark.executor.uri, every worker can read that file on its node.


# ./conf/zeppelin-env.sh
export SPARK_HOME=/path/to/spark_dir


./bin/zeppelin-daemon.sh start

And browse localhost:8080 in your browser.

For configuration details check ./conf subdirectory.

Building for Scala 2.11

To produce a Zeppelin package compiled with Scala 2.11, use the -Pscala-2.11 profile:

mvn clean package -Pspark-1.6 -Phadoop-2.4 -Pyarn -Ppyspark -Pscala-2.11 -DskipTests clean install


To package the final distribution including the compressed archive, run:

mvn clean package -Pbuild-distr

To build a distribution with specific profiles, run:

mvn clean package -Pbuild-distr -Pspark-1.5 -Phadoop-2.4 -Pyarn -Ppyspark

The profiles -Pspark-1.5 -Phadoop-2.4 -Pyarn -Ppyspark can be adjusted if you wish to build to a specific spark versions, or omit support such as yarn.

The archive is generated under zeppelin-distribution/target directory

###Run end-to-end tests Zeppelin comes with a set of end-to-end acceptance tests driving headless selenium browser

# assumes zeppelin-server running on localhost:8080 (use -Durl=.. to override)
mvn verify

# or take care of starting/stoping zeppelin-server from packaged zeppelin-distribuion/target
mvn verify -P using-packaged-distr