Hadoop 3.3 0 Tar GZ

you can follow these general steps:

1. Prerequisites:

   • Ensure that you have Java installed on your system, as Hadoop is a Java-based framework.
   • Download the Hadoop 3.3.0 tar.gz archive from the official Apache Hadoop website or a trusted mirror.

2. Extract the Tarball:

   Use the tar command to extract the contents of the tar.gz archive. Open your terminal and navigate to the directory where you’ve downloaded the archive. Replace hadoop-3.3.0 with the actual filename if it’s different:

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   tar -xzvf hadoop-3.3.0.tar.gz

   This command will create a directory called hadoop-3.3.0 with the Hadoop distribution files.

3. Configuration:

   • Go to the Hadoop configuration directory:

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     cd hadoop-3.3.0/etc/hadoop

   • Configure Hadoop by editing the necessary XML files, such as core-site.xml, hdfs-site.xml, and mapred-site.xml, based on your cluster setup and requirements. You may also want to adjust environment variables in hadoop-env.sh.

4. Environment Variables:

   You can set environment variables in your shell profile to point to the Hadoop installation and configuration directories. For example, add the following lines to your ~/.bashrc or ~/.bash_profile:

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   export HADOOP_HOME=/path/to/hadoop-3.3.0 export PATH=$PATH:$HADOOP_HOME/bin

   Don’t forget to source your profile or restart your shell to apply the changes.

5. Testing:

   Run Hadoop’s built-in tests to ensure that your installation is working correctly:

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   hadoop version

   You should see the Hadoop version displayed in the terminal.

6. Cluster Setup (if applicable):

   If you’re setting up a multi-node cluster, you’ll need to configure each node and ensure they can communicate with each other. The configuration files in the etc/hadoop directory are essential for this setup.

7. Start Hadoop:

   To start Hadoop, you can use the start-dfs.sh and start-yarn.sh scripts for HDFS and YARN, respectively. Make sure you have set up your cluster and configurations correctly before starting the services.

8. Access Web Interfaces:

   You can access the Hadoop web interfaces, such as the NameNode web UI (typically on port 9870) and ResourceManager web UI (typically on port 8088), from your web browser to monitor the cluster’s status.