How to start a Hadoop cluster in Linux?

2 years ago
Liam
2 minutes

Before starting the Hadoop cluster, make sure that Hadoop is installed and configured. Here are the steps to start the Hadoop cluster:

  1. Start the Hadoop NameNode (master node):
  2. Execute the start-dfs.sh script in the Hadoop directory.
  3. If the Hadoop cluster also includes YARN (resource manager), you can start YARN.
  4. Execute the start-yarn.sh script located in the sbin directory of HADOOP_HOME.
  5. If there are other components in the cluster, such as HBase, Hive, etc., they can also be started.
  6. Check the status of the Hadoop cluster.
  7. Check the status of Hadoop using the command “hadoop dfsadmin -report” in the Hadoop directory.
  8. This will display the status information of each node in the cluster.
  9. After starting the Hadoop cluster, you can use the Hadoop command line tools to perform various operations such as uploading files and running MapReduce jobs.
  10. For example, uploading files to HDFS:
  11. Copy the local file to the specified path in HDFS using the Hadoop command.
  12. Run a MapReduce job.
  13. Run the wordcount example in Hadoop using the jar file located in the HADOOP_HOME bin directory on the specified input and output paths.
  14. These commands will execute corresponding actions on the cluster.

Please note that the steps above are based on the default configuration of a Hadoop cluster. If you have customized the Hadoop configuration or are using other components, adjustments may be necessary based on your specific circumstances.

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