How to setup Single Node Hive on Tez Hadoop Cluster

In this tutorial I’m going to show you how setup single node Hadoop cluster with hive and tez. We are going to use the following versions –

Hadoop – 2.7.2
Hive – 2.1.1
Tez – 0.9.2

Preriquisites :
1. Java 8 must be installed and set JAVA_HOME path.

If you are using ubuntu then you can install java by using the below command

sudo apt install openjdk-8-jdk

After that you can set JAVA_HOME path by adding the below line in .bashrc file.

export JAVA_HOME=/usr/lib/jvm/java-8-openjdk-amd64

The .bashrc file is located in your home directory. It is a hidden file. In ubuntu you can view hidden files by using Ctrl + H shortcut.

2. Passwordless ssh must be set

To set up passwordless ssh you can follow my previous article to setup ssh.

3. Mysql server must be installed

MySql is necessary for hive setup. If you just want to setup hadoop and not hive then you can skip this step. In ubuntu mysql can be setup using the below command

sudo apt install mysql-server

Setup Hadoop

1. Create a directory called packages in your home directory
2. Download Hadoop binary and extract to packages/hadoop
3. In packages/hadoop/etc/hadoop directory replace core-site.xml, hdfs-site.xml, mapred-site.xml and yarn-site.xml with the following content. Don’t forget to change your hostname and username

core-site.xml

<?xml version="1.0" encoding="UTF-8"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
<configuration>
  <property>
    <name>fs.default.name</name>
    <value>hdfs://hostname:9000</value>
  </property>
  <property>
    <name>hadoop.tmp.dir</name>
    <value>/home/username/packages/hadoop/tmp</value>
  </property>
  <property>
    <name>hadoop.http.staticuser.user</name>
    <value>username</value>
  </property>
  <property>
    <name>hadoop.proxyuser.username.groups</name>
    <value>*</value>
  </property>
  <property>
    <name>hadoop.proxyuser.username.hosts</name>
    <value>*</value>
  </property>
</configuration>

hdfs-site.xml

<?xml version="1.0" encoding="UTF-8"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
<configuration>
  <property>
    <name>dfs.replication</name>
    <value>1</value>
  </property>
  <property>
    <name>dfs.name.dir</name>
    <value>file:///home/username/packages/hadoop/hdfs/namenode</value>
  </property>
  <property>
    <name>dfs.data.dir</name>
    <value>file:///home/username/packages/hadoop/hdfs/datanode</value>
  </property>
</configuration>

mapred-site.xml

<configuration>
  <property>
    <name>mapreduce.framework.name</name>
    <value>yarn</value>
  </property>
</configuration>

yarn-site.xml

<?xml version="1.0" encoding="UTF-8" ?>
<configuration>
  <property>
    <name>yarn.nodemanager.aux-services</name>
    <value>mapreduce_shuffle</value>
  </property>
  <property>
    <name>yarn.timeline-service.enabled</name>
    <value>true</value>
  </property>
  <property>
    <name>yarn.resourcemanager.system-metrics-publisher.enabled</name>
    <value>true</value>
  </property>
  <property>
    <name>yarn.timeline-service.http-cross-origin.enabled</name>
    <value>true</value>
  </property>
  <property>
    <name>yarn.timeline-service.hostname</name>
    <value>hostname</value>
  </property>
  <property>
    <name>yarn.nodemanager.vmem-check-enabled</name>
    <value>false</value>
  </property>
  <property>
    <name>yarn.nodemanager.vmem-pmem-ratio</name>
    <value>4</value>
  </property>
  <property>
    <name>yarn.acl.enable</name>
    <value>false</value>
  </property>
  <property>
    <name>yarn.resourcemanager.system-metrics-publisher.enabled</name>
    <value>true</value>
  </property>
  <property>
    <name>yarn.timeline-service.generic-application-history.enabled</name>
    <value>true</value>
  </property>
</configuration>

4. Along with these xml files there is a file hadoop-env.sh in packages/hadoop/etc/hadoop/ directory. Open that file and find the line that starts with export JAVA_HOME=. Replace that line with the following

export JAVA_HOME=/usr/lib/jvm/java-8-openjdk-amd64

5. Add the below content to .bashrc file

export PACKAGES=$HOME/packages
export HADOOP_HOME=$PACKAGES/hadoop
export HADOOP_ROOT=$HADOOP_HOME
export HADOOP_BIN_PATH=$HADOOP_HOME/bin
export HADOOP_LIBEXEC_DIR=$HADOOP_HOME/libexec
export HADOOP_MAPRED_HOME=$HADOOP_HOME
export HADOOP_COMMON_HOME=$HADOOP_HOME
export PACKAGES=$HOME/packages
export HADOOP_HDFS_HOME=$HADOOP_HOME
export YARN_HOME=$HADOOP_HOME
export HADOOP_COMMON_LIB_NATIVE_DIR=$HADOOP_HOME/lib/native
export PATH=$PATH:$HADOOP_HOME/sbin:$HADOOP_HOME/bin
export HADOOP_INSTALL=$HADOOP_HOME
export HADOOP_CONF_DIR=$HADOOP_HOME/etc/hadoop

6. Now execute below command to format namenode

hadoop namenode -format

7. Your hadoop has been set up. To start hadoop services

start-dfs.sh
start-yarn.sh
mr-jobhistory-daemon.sh start historyserver
yarn-daemon.sh start historyserver

8. To test whether it has been setup, you can execute the below commands

hdfs dfs -mkdir /testdir
hdfs dfs -ls /

9. You can view hdfs ui by opening the url http://localhost:50070 and can view resource manager ui using http://localhost:8088

Setup Hive

1. Download Hive binary and extract to packages/hive
2. Now to setup hive for mysql, create file hive-site.xml in packages/hive/conf directory and put the below content. Don’t forget to change the values according to your requirements (hostname, mysql username, mysql password and mysql database).

If you do not know how to create mysql user or database, then for ubuntu execute the below commands (don’t forget to change your name here) –

sudo mysql

CREATE USER 'ashish'@'%' identified by 'thisismypassword';
CREATE USER 'ashish'@'localhost' identified by 'thisismypassword';
CREATE DATABASE hive;
GRANT ALL PRIVILEGES ON hive.* TO 'ashish'@'%';
GRANT ALL PRIVILEGES ON hive.* TO 'ashish'@'localhost';

hive-site.xml

<configuration>
    <property>
        <name>javax.jdo.option.ConnectionURL</name>
        <value>jdbc:mysql://hostname/hive2</value>
        <description>metadata is stored in a MySQL server</description>
    </property>
    <property>
        <name>javax.jdo.option.ConnectionDriverName</name>
        <value>com.mysql.cj.jdbc.Driver</value>
        <description>MySQL JDBC driver class</description>
    </property>
    <property>
        <name>javax.jdo.option.ConnectionUserName</name>
        <value>ashish</value>
        <description>user name for connecting to mysql server</description>
    </property>
    <property>
        <name>javax.jdo.option.ConnectionPassword</name>
        <value>thisismypassword</value>
        <description>password for connecting to mysql server</description>
    </property>
    <property>
        <name>hive.server2.enable.doAs</name>
        <value>false</value>
    </property>
    <property>
        <name>hive.exec.pre.hooks</name>
        <value>org.apache.hadoop.hive.ql.hooks.ATSHook</value>
    </property>
    <property>
        <name>hive.exec.post.hooks</name>
        <value>org.apache.hadoop.hive.ql.hooks.ATSHook</value>
    </property>
    <property>
        <name>hive.exec.failure.hooks</name>
        <value>org.apache.hadoop.hive.ql.hooks.ATSHook</value>
    </property>
</configuration>

3. Open mysql (mysql -uashish -pthisismypassword) and execute the below commands

use hive
source /home/username/packages/hive/scripts/metastore/upgrade/mysql/hive-schema-2.1.0.mysql.sql
source /home/username/packages/hive/scripts/metastore/upgrade/mysql/hive-txn-schema-2.1.0.mysql.sql

4. Execute the below commands for creating hive related directories in hadoop hdfs

hdfs dfs -mkdir /user/
hdfs dfs -mkdir /user/hive
hdfs dfs -mkdir /user/hive/warehouse
hdfs dfs -mkdir /tmp
hdfs dfs -chmod g+w /tmp
hdfs dfs -chmod g+w /user/hive/warehouse

5. Add below content to .bashrc

export HIVE_HOME=$PACKAGES/hive
export PATH=$PATH:$HIVE_HOME/bin

6. Add mysql driver

cd $HOME/packages/hive/lib
wget https://repo1.maven.org/maven2/mysql/mysql-connector-java/8.0.27/mysql-connector-java-8.0.27.jar

7. To start hive, run hive server

hive --service hiveserver2 --hiveconf hive.server2.thrift.port=10000 --hiveconf hive.server2.thrift.http.port=10001 --hiveconf hive.root.logger=INFO,console

Now you can open your hive cli by using command hive

Setup tez

1. Download Tez binary and extract to packages/tez
2. In packages/tez/conf directory create file tez-site.xml and put the below content

tez-site.xml

<?xml version="1.0" ?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl" ?>
<configuration>
  <property>
    <name>tez.lib.uris</name>
    <value>hdfs://hostname:9000/user/tez/share/tez.tar.gz</value>
    <type>string</type>
  </property>
  <property>
    <name>tez.tez-ui.history-url.base</name>
    <value>http://hostname:8080</value>
  </property>
  <property>
    <name>yarn.timeline-service.enabled</name>
    <value>true</value>
  </property>
  <property>
    <name>tez.session.am.dag.submit.timeout.secs</name>
    <value>2</value>
  </property>
  <property>
    <name>tez.history.logging.service.class</name>
    <value>org.apache.tez.dag.history.logging.ats.ATSHistoryLoggingService</value>
  </property>
</configuration>

3. Upload tez files in hdfs

hdfs dfs -mkdir /user/tez
hdfs dfs -chmod g+w /user/tez
cd $HOME/packages/tez
hdfs dfs -put * /user/tez

4. In hive-site.xml add the property

<property>
  <name>hive.execution.engine</name>
  <value>tez</value>
  </property>

5. In mapred-site.xml change the property value of mapreduce.framework.name to yarn-tez

6. Add below content to .bashrc

export TEZ_HOME=$PACKAGES/tez
export TEZ_CONF_DIR=$TEZ_HOME/conf
export TEZ_JARS=$TEZ_HOME

# For enabling hive to use the Tez engine
if [ -z "$HIVE_AUX_JARS_PATH" ]; then
export HIVE_AUX_JARS_PATH="$TEZ_JARS"
else
export HIVE_AUX_JARS_PATH="$HIVE_AUX_JARS_PATH:$TEZ_JARS"
fi

export HADOOP_CLASSPATH=${TEZ_CONF_DIR}:${TEZ_JARS}/*:${TEZ_JARS}/lib/*

To setup Tez UI

1. Download jetty runner jar in tez home

cd $TEZ_HOME
wget https://repo1.maven.org/maven2/org/eclipse/jetty/jetty-runner/9.2.11.v20150529/jetty-runner-9.2.11.v20150529.jar

2. Run ui

java -jar jetty-runner-9.2.11.v20150529.jar tez-ui-0.9.2.war --port 8080

Your tez Ui will be running on http://hostname:8080

That’s it


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