Steps to install Hadoop 2.x release (Yarn or Next-Gen) on single node cluster setup

Hadoop 2.x release involves many changes to Hadoop and MapReduce. The centralized JobTracker service is replaced with a ResourceManager that manages the resources in the cluster and an ApplicationManager that manages the application lifecycle. These architectural changes enable hadoop to scale to much larger clusters. For more details on architectural changes in Hadoop next-gen (a.k.a. Yarn), watch this video or visit this blog.

This post concentrates on installing Hadoop 2.x a.k.a. Yarn a.k.a. next-gen on a single-node cluster.

Prerequisites:

• Java 6 installed
• Dedicated user for hadoop
• SSH configured

Steps to install Hadoop 2.x:

1. Download tarball

You can download tarball for hadoop 2.x from here. Extract it to a folder say, /home/hduser/yarn. We assume dedicated user for Hadoop is “hduser”.

$ cd /home/hduser/yarn
$ sudo chown -R hduser:hadoop hadoop-2.0.1-alpha

2. Setup Environment Variables

$ export HADOOP_HOME=$HOME/yarn/hadoop-2.0.1-alpha
$ export HADOOP_MAPRED_HOME=$HOME/yarn/hadoop-2.0.1-alpha
$ export HADOOP_COMMON_HOME=$HOME/yarn/hadoop-2.0.1-alpha
$ export HADOOP_HDFS_HOME=$HOME/yarn/hadoop-2.0.1-alpha
$ export HADOOP_YARN_HOME=$HOME/yarn/hadoop-2.0.1-alpha
$ export HADOOP_CONF_DIR=$HOME/yarn/hadoop-2.0.1-alpha/etc/hadoop

This is very important as if you miss any one variable or set the value incorrectly, it will be very difficult to detect the error and the job will fail.

Also, add these to your ~/.bashrc or other shell start-up script so that you don’t need to set them every time.

3. Create directories

Create two directories to be used by namenode and datanode.

$ mkdir -p $HOME/yarn/yarn_data/hdfs/namenode
$ mkdir -p $HOME/yarn/yarn_data/hdfs/datanode

4. Set up config files

$ cd $YARN_HOME

Add the following properties under configuration tag in the files mentioned below:

etc/hadoop/yarn-site.xml:

<property>
   <name>yarn.nodemanager.aux-services</name>
   <value>mapreduce_shuffle</value>
</property>
<property>
   <name>yarn.nodemanager.aux-services.mapreduce.shuffle.class</name>
   <value>org.apache.hadoop.mapred.ShuffleHandler</value>
</property>

etc/hadoop/core-site.xml:

<property>
   <name>fs.default.name</name>
   <value>hdfs://localhost:9000</value>
</property>

etc/hadoop/hdfs-site.xml:

 <property>
   <name>dfs.replication</name>
   <value>1</value>
 </property>
 <property>
   <name>dfs.namenode.name.dir</name>
   <value>file:/home/hduser/yarn/yarn_data/hdfs/namenode</value>
 </property>
 <property>
   <name>dfs.datanode.data.dir</name>
   <value>file:/home/hduser/yarn/yarn_data/hdfs/datanode</value>
 </property>

etc/hadoop/mapred-site.xml:

If this file does not exist, create it and paste the content provided below:

<?xml version="1.0"?>
<configuration>
   <property>
      <name>mapreduce.framework.name</name>
      <value>yarn</value>
   </property>
</configuration>

5. Format namenode

This step is needed only for the first time. Doing it every time will result in loss of content on HDFS.

$ bin/hadoop namenode -format

6. Start HDFS processes

Name node:

$ sbin/hadoop-daemon.sh start namenode
starting namenode, logging to /home/hduser/yarn/hadoop-2.0.1-alpha/logs/hadoop-hduser-namenode-pc3-laptop.out
$ jps
18509 Jps
17107 NameNode

Data node:

$ sbin/hadoop-daemon.sh start datanode
starting datanode, logging to /home/hduser/yarn/hadoop-2.0.1-alpha/logs/hadoop-hduser-datanode-pc3-laptop.out
$ jps
18509 Jps
17107 NameNode
17170 DataNode

7. Start Hadoop Map-Reduce Processes

Resource Manager:

$ sbin/yarn-daemon.sh start resourcemanager
starting resourcemanager, logging to /home/hduser/yarn/hadoop-2.0.1-alpha/logs/yarn-hduser-resourcemanager-pc3-laptop.out
$ jps
18509 Jps
17107 NameNode
17170 DataNode
17252 ResourceManager

Node Manager:

$ sbin/yarn-daemon.sh start nodemanager
starting nodemanager, logging to /home/hduser/yarn/hadoop-2.0.1-alpha/logs/yarn-hduser-nodemanager-pc3-laptop.out
$jps
18509 Jps
17107 NameNode
17170 DataNode
17252 ResourceManager
17309 NodeManager

Job History Server:

$ sbin/mr-jobhistory-daemon.sh start historyserver
starting historyserver, logging to /home/hduser/yarn/hadoop-2.0.1-alpha/logs/yarn-hduser-historyserver-pc3-laptop.out
$jps
18509 Jps
17107 NameNode
17170 DataNode
17252 ResourceManager
17309 NodeManager
17626 JobHistoryServer

8. Running the famous wordcount example to verify installation

$ mkdir in
$ cat > in/file
This is one line
This is another one

Add this directory to HDFS:

$ bin/hadoop dfs -copyFromLocal in /in

Run wordcount example provided:

$ bin/hadoop jar share/hadoop/mapreduce/hadoop-mapreduce-examples-2.*-alpha.jar wordcount /in /out

Check the output:

$ bin/hadoop dfs -cat /out/*
This 2
another 1
is 2
line 1
one 2

9. Web interface

Browse HDFS and check health using http://localhost:50070 in the browser:

You can check the status of the applications running using the following URL:

http://localhost:8088

10. Stop the processes

$ sbin/hadoop-daemon.sh stop namenode
$ sbin/hadoop-daemon.sh stop datanode
$ sbin/yarn-daemon.sh stop resourcemanager
$ sbin/yarn-daemon.sh stop nodemanager
$ sbin/mr-jobhistory-daemon.sh stop historyserver

(from http://raseshmori.wordpress.com/)