vagrant-hadoop-spark-cluster

1. Introduction

Vagrant project to spin up a cluster of 4, 32-bit CentOS6.5 Linux virtual machines with Hadoop v2.7.1 and Spark v1.5.0.

Ideal for development cluster on a laptop with at least 4GB of memory.

1. node1 : HDFS NameNode + Spark Master
2. node2 : YARN ResourceManager + JobHistoryServer + ProxyServer
3. node3 : HDFS DataNode + YARN NodeManager + Spark Slave
4. node4 : HDFS DataNode + YARN NodeManager + Spark Slave

2. Prerequisites and Gotchas to be aware of

1. At least 1GB memory for each VM node. Default script is for 4 nodes, so you need 4GB for the nodes, in addition to the memory for your host machine. If your machine has less RAM, or you want to modify the setup for other reasons, you can edit the Vagrantfile with a text-editor and change line 5 (numNodes = 4) and line 13 (v.customize ["modifyvm", :id, "--memory", "1024"]). If possible, leave it to the default configuration.
2. Vagrant 1.7 or higher, Virtualbox 4.3.2 or higher
3. Preserve the Unix/OSX end-of-line (EOL) characters while cloning this project; scripts will fail with Windows EOL characters.
4. Project is tested on Ubuntu 32-bit 14.04 LTS, Windows 7 64-bit, Mac OS X 10.10.5 as host OS; not tested with VMware provider for Vagrant.
5. The Vagrant box is downloaded to the ~/.vagrant.d/boxes directory. On Windows, this is C:/Users/{your-username}/.vagrant.d/boxes.

3. Getting Started

Windows

1. Install Virtual Box (https://www.virtualbox.org)
2. Install Vagrant (http://www.vagrantup.com/downloads.html)
3. Install a SSH client (e.g. by installing Cygwin [https://www.cygwin.com])

Mac OS

Using homebrew (http://brew.sh):

1. Install Cask: brew install caskroom/cask/brew-cask
2. Install Virtualbox brew cask install virtualbox
3. Install Vagrant brew cask install vagrant

Or manually install Virtualbox and Vagrant

On All Systems

1. Open a command line.
2. Run vagrant box add centos65 http://files.brianbirkinbine.com/vagrant-centos-65-i386-minimal.box
3. Git clone this project (git clone https://github.com/jf87/vagrant-hadoop-spark-cluster.git), and change directory (cd vagrant-hadoop-spark-cluster) into this project directory.
4. Run vagrant up to create the VMs.

4. Post Provisioning

After you have provisioned the cluster, you need to run some commands to initialize your Hadoop cluster. SSH into node1 using
vagrant ssh node-1 Commands below require root permissions. Change to root access using sudo su - or create a new user and grant permissions if you want to use a non-root access. In such a case, you'll need to do this on all VMs.

Issue the following command as root or priviliged user on node-1.

1. $HADOOP_PREFIX/bin/hdfs namenode -format myhadoop

Start Hadoop Daemons (HDFS + YARN)

Also on node-1, issue the following commands as root or priviliged user to start HDFS:

1. $HADOOP_PREFIX/sbin/hadoop-daemon.sh --config $HADOOP_CONF_DIR --script hdfs start namenode
2. $HADOOP_PREFIX/sbin/hadoop-daemons.sh --config $HADOOP_CONF_DIR --script hdfs start datanode

SSH into node-2 (vagrant ssh node-2), change to root sudo su - and issue the following commands to start YARN:

1. $HADOOP_YARN_HOME/sbin/yarn-daemon.sh --config $HADOOP_CONF_DIR start resourcemanager
2. $HADOOP_YARN_HOME/sbin/yarn-daemons.sh --config $HADOOP_CONF_DIR start nodemanager
3. $HADOOP_YARN_HOME/sbin/yarn-daemon.sh start proxyserver --config $HADOOP_CONF_DIR
4. $HADOOP_PREFIX/sbin/mr-jobhistory-daemon.sh start historyserver --config $HADOOP_CONF_DIR

Test YARN

Run the following command on node-2 to make sure you can run a MapReduce job.

yarn jar /usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-examples-2.7.1.jar pi 2 100

Start Spark in Standalone Mode

SSH into node-1 and issue the following command as root or priviliged user.

1. $SPARK_HOME/sbin/start-all.sh

Test Spark on YARN

You can test if Spark can run on YARN by issuing the following command on node-1 as root or priviliged user. Try NOT to run this command on the slave nodes.

$SPARK_HOME/bin/spark-submit --class org.apache.spark.examples.SparkPi \
    --master yarn-cluster \
    --num-executors 3 \
    --driver-memory 256M \
    --executor-memory 512M \
    --executor-cores 1 \
    /usr/local/spark-1.5.0-bin-hadoop2.6/lib/spark-examples*.jar \
    10

Test Spark using Shell

Start the Spark shell using the following command. Try NOT to run this command on the slave nodes.

$SPARK_HOME/bin/spark-shell --driver-memory 256M --executor-memory 512M --master spark://node1:7077

Then go here https://spark.apache.org/docs/latest/quick-start.html to start the tutorial. Most likely, you will have to load data into HDFS to make the tutorial work (Spark cannot read data on the local file system).

#4. Useful Vagrant Commands

1. Run vagrant halt node-1 when you want to halt a node (node-1 in this case). Do this after you are finished using this setup to free up the used ressources again. You can always start the nodes again with vagrant up to resume with your old state.
2. Run vagrant destroy when you want to destroy and get rid of the VMs.

5. Web UI

You can check the following URLs to monitor the Hadoop daemons.

1. [NameNode] (http://10.211.55.101:50070/dfshealth.html)
2. [ResourceManager] (http://10.211.55.102:8088/cluster)
3. [JobHistory] (http://10.211.55.102:19888/jobhistory)
4. [Spark] (http://10.211.55.101:8080)

6. Modifying scripts for adapting to your environment

If you want to change how the VMs are set-up, you need to modify some scripts. Normally this should not be necessary.

1. List of available Vagrant boxes

2. ./Vagrantfile
   To add/remove slaves, change the number of nodes:
   line 5: numNodes = 4
   To modify VM memory change the following line:
   line 13: v.customize ["modifyvm", :id, "--memory", "1024"]

3. /scripts/common.sh
   To use a different version of Java, change the following line depending on the version you downloaded to /resources directory.
   line 4: JAVA_ARCHIVE=jdk-8u25-linux-i586.tar.gz
   To use a different version of Hadoop you've already downloaded to /resources directory, change the following line:
   line 8: HADOOP_VERSION=hadoop-2.6.0
   To use a different version of Hadoop to be downloaded, change the remote URL in the following line:
   line 10: HADOOP_MIRROR_DOWNLOAD=http://apache.crihan.fr/dist/hadoop/common/stable/hadoop-2.6.0.tar.gz
   To use a different version of Spark, change the following lines:
   line 13: SPARK_VERSION=spark-1.1.1
   line 14: SPARK_ARCHIVE=$SPARK_VERSION-bin-hadoop2.4.tgz
   line 15: SPARK_MIRROR_DOWNLOAD=../resources/spark-1.1.1-bin-hadoop2.4.tgz

4. /scripts/setup-java.sh
   To install from Java downloaded locally in /resources directory, if different from default version (1.8.0_25), change the version in the following line:
   line 18: ln -s /usr/local/jdk1.8.0_25 /usr/local/java
   To modify version of Java to be installed from remote location on the web, change the version in the following line:
   line 12: yum install -y jdk-8u25-linux-i586

5. /scripts/setup-centos-ssh.sh
   To modify the version of sshpass to use, change the following lines within the function installSSHPass():
   line 23: wget http://pkgs.repoforge.org/sshpass/sshpass-1.05-1.el6.rf.i686.rpm
   line 24: rpm -ivh sshpass-1.05-1.el6.rf.i686.rpm

6. /scripts/setup-spark.sh
   To modify the version of Spark to be used, if different from default version (built for Hadoop2.4), change the version suffix in the following line:
   line 32: ln -s /usr/local/$SPARK_VERSION-bin-hadoop2.4 /usr/local/spark

7. References

This project was put together with great pointers from all around the internet. All references made inside the files themselves. Primaily this project is forked from Jee Vang's vagrant project

8. Copyright Stuff

Copyright 2014 Maloy Manna Copyright 2015 Jonathan Fürst

Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

9. Bugs, Problems etc.

Please report bugs and problems here on GitHub.