Building a Hadoop Yarn without Kerberos authentication

SuperMap iServer distributed analysis supports using the Hadoop Yarn cluster, you can build it yourself by following the process below. This chapter describes how to set up a Hadoop Yarn cluster without Kerberos authentication.

Software requirements

To set up a Hadoop Yarn cluster environment, you need to configure the Java environment (JDK download address http://www.oracle.com/technetwork/java/javase/downloads/index-jsp-138363.html#javasejdk, JDK 8 and above is recommended), SSH and hadoop.

The softwares used in this example are:

Hadoop installation package: hadoop-2.7.3.tar.gz stored in: /home/iserver

JDK installation package: jdk-8u131-linux-x64.tar.gz

Construction process

In this example, a Hadoop Yarn cluster with one master and one worker is built on two ubuntus (each has 12 g of memory). The steps are shown as follows:

Prepare two virtual machines (master, worker) and configure JAVA_HOME in /etc/profile on each machine as follows:

export JAVA_HOME=/home/supermap/java/jdk1.8.0_131

export PATH=${JAVA_HOME}/bin:$PATH

Execute source /etc/profile to make the environment variables take effect.

Configure login without password under master and worker users

Execute ssh-keygen -t rsa -P'' on master and worker respectively (-P indicates password, can be ignored, defaults to enter three times of "Enter" key). After executing the command, the private key file (id_rsa) and public key file (id_rsa.pub) will be generated in /home/hdfs/.ssh directory. Then execute the following command on the master and worker respectively:

ssh-copy-id -i /home/hdfs/.ssh/id_rsa.pub ip

When execute on master, wirite the ip of the worker node; and write the ip of the master node if executing on worker node. Then run ssh worker/master on the master and worker to verify if the configuration is successful.

Configure Hadoop

Place a complete hadoop package in the master directory and configure it as follows:

Enter /home/supermap/hadoop-2.7.6/etc/hadoop directory:

1. Open hadoop-env.sh file, add:

export JAVA_HOME=/home/supermap/java/jdk1.8.0_131

1. Open yarn-env.sh file, add:

export JAVA_HOME=/home/supermap/java/jdk1.8.0_131

1. Add the following configuration in yarn-site.xml. 192.168.112.131 is the ip of the master node.

<name>yarn.nodemanager.aux-services</name>

<value>mapreduce_shuffle</value>

</property>

<name>yarn.resourcemanager.hostname</name>

</property>

<name>yarn.nodemanager.aux-services.mapreduce.shuffle.class</name>

<value>org.apache.hadoop.mapred.ShuffleHandler</value>

</property>

<name>yarn.resourcemanager.address</name>

</property>

<name>yarn.resourcemanager.scheduler.address</name>

</property>

<name>yarn.resourcemanager.resource-tracker.address</name>

</property>

<name>yarn.resourcemanager.admin.address</name>

</property>

<name>yarn.resourcemanager.webapp.address</name>

</property>

<!--<property>

<name>yarn.nodemanager.resource.memory-mb</name>

</property>-->

<name>yarn.scheduler.maximum-allocation-mb</name>

</property>

</configuration>

1. Add the following configuration in core-site.xml:

<name>fs.defaultFS</name>

</property>

<!-- <property>

<name>io.file.buffer.size</name>

</property>-->

<name>hadoop.tmp.dir</name>

<value>file:/home/supermap/hadoop/tmp</value>

<description>Abasefor other temporary directories.</description>

</property>

</configuration>

1. Add the following configuration in hdfs-site.xml:

<name>dfs.namenode.http-address</name>

</property>

<name>dfs.namenode.secondary.http-address</name>

</property>

<name>dfs.namenode.name.dir</name>

<value>file:/home/supermap/hadoop/hdfs/name</value>

</property>

<name>dfs.datanode.data.dir</name>

<value>file:/home/supermap/hadoop/hdfs/data</value>

</property>

<name>dfs.replication</name>

</property>

<name>dfs.webhdfs.enabled</name>

</property>

<name>dfs.permissions</name>

<value>false</value>

</property>

</configuration>

1. Add the following configuration in mapred-site.xml:

<name>mapreduce.framework.name</name>

</property>

<name>mapreduce.jobhistory.address</name>

</property>

<name>mapreduce.jobhistory.webapp.address</name>

</property>

</configuration>

1. Configure the host name of the master node in the master file, for example: master; and configure the host name of the child node in the slaves file, for example: worker. After the master node is configured, run the following command to copy the configuration to the worker:

Scp –r /home/supermap/hadoop-2.7.6/etc/hadoop root@worker:/home/supermap/hadoop-2.7.6/etc/hadoop

In this way, the worker becomes a child of the yarn cluster, and the master and slaves files are also needed to be modified in the child nodes. Up to now, a simple yarn cluster has been set up.

After the building, enter /home/supermap/hadoop-2.7.6/bin/ on master node and execute ./hadoop namenode -format to perform format. After the format is successful, enter the sbin directory and execute ./start-all.sh to start yarn and hdfs at the same time. You can also start start-yarn.sh and start-dfs.sh to start yarn and hdfs respectively. After successful startup, access the web address of yarn: http://master:8088, the interface is as follows:

To perform distirbuted analysis, you also need to configure UGO for each sub-node of the Hadoop Yarn cluster. For details, see: ugo configuration.