Python Hadoop Streaming Error ERROR streaming StreamJob Job not Successful and Stack trace ExitCodeE

Certainly! When encountering the error "ERROR streaming.StreamJob: Job not Successful!" along with the Stack trace "ExitCodeException exitCode=134" in Python Hadoop Streaming, it indicates that your Hadoop MapReduce job did not complete successfully, and it exited with a non-zero exit code (in this case, exit code 134). This error can be caused by various issues, and troubleshooting it requires examining the specific details provided in the error message.
Let's break down the possible causes and steps to diagnose and resolve the issue. We'll use a code example for illustration.
Mapper or Reducer Code Issue:
Input/Output Paths:
Permissions:
Dependencies:
To get more information about the error, you can examine the Hadoop logs and the specific stack trace provided.
Check Hadoop Logs:
Inspect Stack Trace:
Let's consider a simple Python MapReduce example that might generate this error:
Check Hadoop Logs:
Review Stack Trace:
Debugging:
Testing Locally:
By following these steps and paying attention to the specifics of the error message, you should be able to diagnose and resolve the "ERROR streaming.StreamJob: Job not Successful!" issue in Python Hadoop Streaming.
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