Running a cluster of virtual machines with Hadoop (HDFS + YARN) v2.4.1 and Spark v1.0.1 using Vagrant

I was able to set up a cluster of virtual machines (VMs) running Hadoop v2.4.1 with HDFS and YARN as well as Spark v1.0.1. The cluster setup was possible using Vagrant v1.5.1 and VirtualBox v4.3.10. The project is open source using Apache v2.0 License and is available at GitHub. I created this project for multiple reasons.

  • to learn about creating a cluster of VMs with Vagrant,
  • to have a sandbox with Hadoop (HDFS + YARN),
  • to have a sandbox with Spark, and
  • to AVOID having to download the sandbox VMs from Cloudera and Hortonworks (it takes forever to download these VMs; I, myself, was ever only able to finish downloading the CDH sandbox once, and yet, after 24+ hours, the file was corrupted; morever, these VMs are are standalone VMs and do not emulate the cluster environment).

To use this project you will need to install Vagrant and VirtualBox. You will also need to install a git client to clone the project from GitHub. After you have the above installed, then you can change into the cloned directory and simply type in

vagrant up


Out of the box, there will be four nodes created.

Node Name HDFS Daemons YARN Daemons Spark Daemons
node1 NameNode Master
node2 ResourceManager, ProxyServer, JobHistory
node3 DataNode NodeManager Slave
node4 DataNode NodeManager Slave

To add more slave nodes, modify Vagrantfile. Find this line.

numNodes = 4

And change it to something like this.

numNodes = 6

This will add 2 more slave nodes; slave in the context of HDFS is a DataNode; slave in the context of YARN is a NodeManager; slave in the context of Spark is a Spark slave. Adding more nodes will only increase the slave nodes (NOT the master nodes).

The nodes have the following IP addresses.

  • node1 10.211.55.101
  • node2 10.211.55.102
  • node3 10.211.55.103
  • node4 10.211.55.104

I suppose you can modify Vagrantfile to have up to 155 nodes, but, each node is configured to have 1 GB of RAM, so your tinkering will backfire if you try to push the limits.

After Vagrant and the bash scripts help setup your cluster for you, you need to initialize HDFS, start HDFS, start YARN, and start SPARK manually. To initialize the NameNode, SSH into node1.

$HADOOP_PREFIX/bin/hdfs namenode -format myhadoop

To start the HDFS daemons, SSH into node1 and type in the following commands.

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

To start the YARN daemons, SSH into node2 and type in the following commands.

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

To start Spark in standalone mode, SSH into node1 and type in the following command.

$SPARK_HOME/sbin/start-all.sh

That’s it, you know have a cluster of VMs running Hadoop (HDFS + YARN) and Spark.

Happy programming and cheers! Sib ntsib dua nawb mog.

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