Jun 13, 2019 In all cases the process was identical, and there was no need to install any new software on any of the test machines. To generate your SSH keys, type the following command: ssh-keygen. The generation process starts. You will be asked where you wish your SSH keys to be stored. Press the Enter key to accept the default location. At the beginning, it is recommended to create a separate user for Hadoop to isolate Hadoop file system from Unix file system. Open the root using the command “su”. Create a user from the root account using the command “useradd username”. Now you can open an existing user account using the command “su username”. The create external keyword is used to create a table and provides a location where the table will create, so that Hive does not use a default location for this table. An EXTERNAL table points to any HDFS location for its storage, rather than default storage. Insert Command: The insert command is used to load the data Hive table. Inserts can be done to a table or a partition.
Hadoop is supported by GNU/Linux platform and its flavors. Therefore, we have to install a Linux operating system for setting up Hadoop environment. In case you have an OS other than Linux, you can install a Virtualbox software in it and have Linux inside the Virtualbox.
Before installing Hadoop into the Linux environment, we need to set up Linux using ssh (Secure Shell). Follow the steps given below for setting up the Linux environment.
At the beginning, it is recommended to create a separate user for Hadoop to isolate Hadoop file system from Unix file system. Follow the steps given below to create a user −
Open the root using the command “su”.
Create a user from the root account using the command “useradd username”.
Now you can open an existing user account using the command “su username”.
Open the Linux terminal and type the following commands to create a user.
SSH setup is required to do different operations on a cluster such as starting, stopping, distributed daemon shell operations. To authenticate different users of Hadoop, it is required to provide public/private key pair for a Hadoop user and share it with different users.
The following commands are used for generating a key value pair using SSH. Copy the public keys form id_rsa.pub to authorized_keys, and provide the owner with read and write permissions to authorized_keys file respectively.
Java is the main prerequisite for Hadoop. First of all, you should verify the existence of java in your system using the command “java -version”. The syntax of java version command is given below.
If everything is in order, it will give you the following output.
If java is not installed in your system, then follow the steps given below for installing java.
Download java (JDK <latest version> - X64.tar.gz) by visiting the following link www.oracle.com
Then jdk-7u71-linux-x64.tar.gz will be downloaded into your system.
Generally you will find the downloaded java file in Downloads folder. Verify it and extract the jdk-7u71-linux-x64.gz file using the following commands.
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.
For setting up PATH and JAVA_HOME variables, add the following commands to ~/.bashrc file.
Now apply all the changes into the current running system.
Use the following commands to configure java alternatives −
Now verify the java -version command from the terminal as explained above.
Download and extract Hadoop 2.4.1 from Apache software foundation using the following commands.
Once you have downloaded Hadoop, you can operate your Hadoop cluster in one of the three supported modes −
Local/Standalone Mode − After downloading Hadoop in your system, by default, it is configured in a standalone mode and can be run as a single java process.
Pseudo Distributed Mode − It is a distributed simulation on single machine. Each Hadoop daemon such as hdfs, yarn, MapReduce etc., will run as a separate java process. This mode is useful for development.
Fully Distributed Mode − This mode is fully distributed with minimum two or more machines as a cluster. We will come across this mode in detail in the coming chapters.
Here we will discuss the installation of Hadoop 2.4.1 in standalone mode.
There are no daemons running and everything runs in a single JVM. Standalone mode is suitable for running MapReduce programs during development, since it is easy to test and debug them.
You can set Hadoop environment variables by appending the following commands to ~/.bashrc file.
Before proceeding further, you need to make sure that Hadoop is working fine. Just issue the following command −
If everything is fine with your setup, then you should see the following result −
It means your Hadoop's standalone mode setup is working fine. By default, Hadoop is configured to run in a non-distributed mode on a single machine.
Let's check a simple example of Hadoop. Hadoop installation delivers the following example MapReduce jar file, which provides basic functionality of MapReduce and can be used for calculating, like Pi value, word counts in a given list of files, etc.
Let's have an input directory where we will push a few files and our requirement is to count the total number of words in those files. To calculate the total number of words, we do not need to write our MapReduce, provided the .jar file contains the implementation for word count. You can try other examples using the same .jar file; just issue the following commands to check supported MapReduce functional programs by hadoop-mapreduce-examples-2.2.0.jar file.
Create temporary content files in the input directory. You can create this input directory anywhere you would like to work.
It will give the following files in your input directory −
These files have been copied from the Hadoop installation home directory. For your experiment, you can have different and large sets of files.
Let's start the Hadoop process to count the total number of words in all the files available in the input directory, as follows −
Step-2 will do the required processing and save the output in output/part-r00000 file, which you can check by using −
It will list down all the words along with their total counts available in all the files available in the input directory.
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.
Now apply all the changes into the current running system.
You can find all the Hadoop configuration files in the location “$HADOOP_HOME/etc/hadoop”. It is required to make changes in those configuration files according to your Hadoop infrastructure.
In order to develop Hadoop programs in 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.
The following are the list of files that you have to edit to configure Hadoop.
core-site.xml
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 size of Read/Write buffers.
Open the core-site.xml and add the following properties in between <configuration>, </configuration> tags. Freemake video converter gold pack key generator.
hdfs-site.xml
The hdfs-site.xml file contains information such as the value of replication data, namenode path, and datanode paths of your local file systems. It means the place where you want to store the Hadoop infrastructure.
Let us assume the following data.
Open this file and add the following properties in between the <configuration> </configuration> tags in this file.
Note − In the above file, all the property values are user-defined and you can make changes according to your Hadoop infrastructure.
yarn-site.xml
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.
mapred-site.xml
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, it is required to copy the file from mapred-site.xml.template to mapred-site.xml file using the following command.
Open mapred-site.xml file and add the following properties in between the <configuration>, </configuration>tags in this file.
The following steps are used to verify the Hadoop installation.
Set up the namenode using the command “hdfs namenode -format” as follows.
The expected result is as follows.
The following command is used to start dfs. Executing this command will start your Hadoop file system.
The expected output is as follows −
The following command is used to start the yarn script. Executing this command will start your yarn daemons.
The expected output as follows −
The default port number to access Hadoop is 50070. Use the following url to get Hadoop services on browser. /vista-home-premium-activation-key-generator.html.
The default port number to access all applications of cluster is 8088. Use the following url to visit this service.