As Sqoop is a sub-project of Hadoop, it can only work on Linux operating system. Follow the steps given below to install Sqoop on your system.
You need to have Java installed on your system before installing Sqoop. Let us verify Java installation using the following command −
$ java –version
If Java is already installed on your system, you get to see the following response −
java version "1.7.0_71" Java(TM) SE Runtime Environment (build 1.7.0_71-b13) Java HotSpot(TM) Client VM (build 25.0-b02, mixed mode)
If Java is not installed on your system, then follow the steps given below.
Follow the simple steps given below to install Java on your system.
Download Java (JDK <latest version> - X64.tar.gz) by visiting the following link.
Then jdk-7u71-linux-x64.tar.gz will be downloaded onto your system.
Generally, you can find the downloaded Java file in the Downloads folder. Verify it and extract the jdk-7u71-linux-x64.gz file using the following commands.
$ cd Downloads/ $ ls jdk-7u71-linux-x64.gz $ tar zxf jdk-7u71-linux-x64.gz $ ls jdk1.7.0_71 jdk-7u71-linux-x64.gz
To make Java available to all the users, you have to move it to the location “/usr/local/”. Open root, and type the following commands.
$ su password: # mv jdk1.7.0_71 /usr/local/java # exitStep IV:
For setting up PATH and JAVA_HOME variables, add the following commands to ~/.bashrc file.
export JAVA_HOME=/usr/local/java export PATH=$PATH:$JAVA_HOME/bin
Now apply all the changes into the current running system.
$ source ~/.bashrc
Use the following commands to configure Java alternatives −
# alternatives --install /usr/bin/java java usr/local/java/bin/java 2 # alternatives --install /usr/bin/javac javac usr/local/java/bin/javac 2 # alternatives --install /usr/bin/jar jar usr/local/java/bin/jar 2 # alternatives --set java usr/local/java/bin/java # alternatives --set javac usr/local/java/bin/javac # alternatives --set jar usr/local/java/bin/jar
Now verify the installation using the command java -version from the terminal as explained above.
Hadoop must be installed on your system before installing Sqoop. Let us verify the Hadoop installation using the following command −
$ hadoop version
If Hadoop is already installed on your system, then you will get the following response −
Hadoop 2.4.1 -- Subversion https://svn.apache.org/repos/asf/hadoop/common -r 1529768 Compiled by hortonmu on 2013-10-07T06:28Z Compiled with protoc 2.5.0 From source with checksum 79e53ce7994d1628b240f09af91e1af4
If Hadoop is not installed on your system, then proceed with the following steps −
Download and extract Hadoop 2.4.1 from Apache Software Foundation using the following commands.
$ su password: # cd /usr/local # wget http://apache.claz.org/hadoop/common/hadoop-2.4.1/ hadoop-2.4.1.tar.gz # tar xzf hadoop-2.4.1.tar.gz # mv hadoop-2.4.1/* to hadoop/ # exit
Follow the steps given below to install Hadoop 2.4.1 in pseudo-distributed mode.
You can set Hadoop environment variables by appending the following commands to ~/.bashrc file.
export HADOOP_HOME=/usr/local/hadoop export HADOOP_MAPRED_HOME=$HADOOP_HOME export HADOOP_COMMON_HOME=$HADOOP_HOME 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
Now, apply all the changes into the current running system.
$ source ~/.bashrc
You can find all the Hadoop configuration files in the location “$HADOOP_HOME/etc/hadoop”. You need to make suitable changes in those configuration files according to your Hadoop infrastructure.
$ cd $HADOOP_HOME/etc/hadoop
In order to develop Hadoop programs using java, you have to reset the java environment variables in hadoop-env.sh file by replacing JAVA_HOME value with the location of java in your system.
Given below is the list of files that you need to edit to configure Hadoop.
The core-site.xml file contains information such as the port number used for Hadoop instance, memory allocated for the file system, memory limit for storing the data, and the size of Read/Write buffers.
Open the core-site.xml and add the following properties in between the <configuration> and </configuration> tags.
<configuration> <property> <name>fs.default.name</name> <value>hdfs://localhost:9000 </value> </property> </configuration>
The hdfs-site.xml file contains information such as the value of replication data, namenode path, and datanode path of your local file systems. It means the place where you want to store the Hadoop infrastructure.
Let us assume the following data.
dfs.replication (data replication value) = 1 (In the following path /hadoop/ is the user name. hadoopinfra/hdfs/namenode is the directory created by hdfs file system.) namenode path = //home/hadoop/hadoopinfra/hdfs/namenode (hadoopinfra/hdfs/datanode is the directory created by hdfs file system.) datanode path = //home/hadoop/hadoopinfra/hdfs/datanode
Open this file and add the following properties in between the <configuration>, </configuration> tags in this file.
<configuration> <property> <name>dfs.replication</name> <value>1</value> </property> <property> <name>dfs.name.dir</name> <value>file:///home/hadoop/hadoopinfra/hdfs/namenode </value> </property> <property> <name>dfs.data.dir</name> <value>file:///home/hadoop/hadoopinfra/hdfs/datanode </value> </property> </configuration>
Note − In the above file, all the property values are user-defined and you can make changes according to your Hadoop infrastructure.
This file is used to configure yarn into Hadoop. Open the yarn-site.xml file and add the following properties in between the <configuration>, </configuration> tags in this file.
<configuration> <property> <name>yarn.nodemanager.aux-services</name> <value>mapreduce_shuffle</value> </property> </configuration>
This file is used to specify which MapReduce framework we are using. By default, Hadoop contains a template of yarn-site.xml. First of all, you need to copy the file from mapred-site.xml.template to mapred-site.xml file using the following command.
$ cp mapred-site.xml.template mapred-site.xml
Open mapred-site.xml file and add the following properties in between the <configuration>, </configuration> tags in this file.
<configuration> <property> <name>mapreduce.framework.name</name> <value>yarn</value> </property> </configuration>
The following steps are used to verify the Hadoop installation.
Set up the namenode using the command “hdfs namenode -format” as follows.
$ cd ~ $ hdfs namenode -format
The expected result is as follows.
10/24/14 21:30:55 INFO namenode.NameNode: STARTUP_MSG: /************************************************************ STARTUP_MSG: Starting NameNode STARTUP_MSG: host = localhost/192.168.1.11 STARTUP_MSG: args = [-format] STARTUP_MSG: version = 2.4.1 ... ... 10/24/14 21:30:56 INFO common.Storage: Storage directory /home/hadoop/hadoopinfra/hdfs/namenode has been successfully formatted. 10/24/14 21:30:56 INFO namenode.NNStorageRetentionManager: Going to retain 1 images with txid >= 0 10/24/14 21:30:56 INFO util.ExitUtil: Exiting with status 0 10/24/14 21:30:56 INFO namenode.NameNode: SHUTDOWN_MSG: /************************************************************ SHUTDOWN_MSG: Shutting down NameNode at localhost/192.168.1.11 ************************************************************/
The following command is used to start dfs. Executing this command will start your Hadoop file system.
The expected output is as follows −
10/24/14 21:37:56 Starting namenodes on [localhost] localhost: starting namenode, logging to /home/hadoop/hadoop- 2.4.1/logs/hadoop-hadoop-namenode-localhost.out localhost: starting datanode, logging to /home/hadoop/hadoop- 2.4.1/logs/hadoop-hadoop-datanode-localhost.out Starting secondary namenodes [0.0.0.0]
The following command is used to start the yarn script. Executing this command will start your yarn daemons.
The expected output is as follows −
starting yarn daemons starting resourcemanager, logging to /home/hadoop/hadoop- 2.4.1/logs/yarn-hadoop-resourcemanager-localhost.out localhost: starting node manager, logging to /home/hadoop/hadoop- 2.4.1/logs/yarn-hadoop-nodemanager-localhost.out
The default port number to access Hadoop is 50070. Use the following URL to get Hadoop services on your browser.
The following image depicts a Hadoop browser.
The default port number to access all applications of cluster is 8088. Use the following url to visit this service.
The following image depicts the Hadoop cluster browser.
We can download the latest version of Sqoop from the following link For this tutorial, we are using version 1.4.5, that is, sqoop-1.4.5.bin__hadoop-2.0.4-alpha.tar.gz.
The following commands are used to extract the Sqoop tar ball and move it to “/usr/lib/sqoop” directory.
$tar -xvf sqoop-1.4.4.bin__hadoop-2.0.4-alpha.tar.gz $ su password: # mv sqoop-1.4.4.bin__hadoop-2.0.4-alpha /usr/lib/sqoop #exit
You have to set up the Sqoop environment by appending the following lines to ~/.bashrc file −
#Sqoop export SQOOP_HOME=/usr/lib/sqoop export PATH=$PATH:$SQOOP_HOME/bin
The following command is used to execute ~/.bashrc file.
$ source ~/.bashrc
To configure Sqoop with Hadoop, you need to edit the sqoop-env.sh file, which is placed in the $SQOOP_HOME/conf directory. First of all, Redirect to Sqoop config directory and copy the template file using the following command −
$ cd $SQOOP_HOME/conf $ mv sqoop-env-template.sh sqoop-env.sh
Open sqoop-env.sh and edit the following lines −
export HADOOP_COMMON_HOME=/usr/local/hadoop export HADOOP_MAPRED_HOME=/usr/local/hadoop
We can download mysql-connector-java-5.1.30.tar.gz file from the following link.
The following commands are used to extract mysql-connector-java tarball and move mysql-connector-java-5.1.30-bin.jar to /usr/lib/sqoop/lib directory.
$ tar -zxf mysql-connector-java-5.1.30.tar.gz $ su password: # cd mysql-connector-java-5.1.30 # mv mysql-connector-java-5.1.30-bin.jar /usr/lib/sqoop/lib
The following command is used to verify the Sqoop version.
$ cd $SQOOP_HOME/bin $ sqoop-version
Expected output −
14/12/17 14:52:32 INFO sqoop.Sqoop: Running Sqoop version: 1.4.5 Sqoop 1.4.5 git commit id 5b34accaca7de251fc91161733f906af2eddbe83 Compiled by abe on Fri Aug 1 11:19:26 PDT 2014
Sqoop installation is complete.