How to execute a python file py on hadoop distributed file system hdfs

Executing a Python file on the Hadoop Distributed File System (HDFS) involves a few steps, including uploading the Python script to HDFS and running it using Hadoop. In this tutorial, I'll guide you through the process with code examples. Before we begin, ensure that you have Hadoop installed and configured on your system.
Hadoop Streaming is a utility that allows you to use any executable or script as the mapper and/or reducer in your Hadoop MapReduce jobs. In this case, we'll use Hadoop Streaming to run our Python script.
This configuration sets the MapReduce framework to run on YARN.
Now, you can run the Python script on HDFS using Hadoop Streaming. Execute the following command:
Replace /input/path/on/hdfs and /output/path/on/hdfs with the actual input and output paths on HDFS.
In this example, the -mapper option specifies the Python script to be used as the mapper. The -files option specifies the file to be distributed to the compute nodes.
Once the job is completed, you can view the output on HDFS:
This command displays the contents of the output file.
You've successfully executed a Python script on the Hadoop Distributed File System (HDFS) using Hadoop Streaming. This process allows you to leverage the power of Hadoop for distributed data processing with your Python scripts. Make sure to customize the paths and filenames according to your specific setup.
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