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Troubleshooting Groovy Script and IDCAMS Errors in AWS Batch Job Using Blu Age

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I'm running a batch test job on AWS (URL: http://localhost:8080/gapwalk-application/script/TRANBKP), and I’m encountering errors in a Groovy script execution involving IDCAMS. The job log shows several error messages, including token recognition error and ParseCancellationException. I would appreciate a human answering instead of AI, Here’s the log:

Error Code: 2024-10-29T20:22:30.392Z ERROR ... Groovy script TRANBKP failed [step PRC001] [pgm IDCAMS] [exit code -1] Failure cause: java.lang.RuntimeException: org.antlr.v4.runtime.misc.ParseCancellationException: line 1:14 mismatched input '_/:' expecting {<EOF>, DELETE, 'BLDINDEX', DEFINE, 'SET', VERIFY, 'REPRO', 'PRINT', 'IF', 'CANCEL', ALLOC, LISTCAT}

line 1:0 token recognition error at: '' line 1:1 token recognition error at: 'Š'

I've checked the syntax in the TRANBKP_STEP05R_REPROC Groovy file, specifically around the IDCAMS program commands, and verified that the file path is accessible. Here are the specific questions I have:

What might cause unexpected characters or syntax mismatches like _/: in Groovy or IDCAMS scripts? Are there best practices for ensuring compatibility between Blu Age file paths and IDCAMS? How can I handle special character issues that seem to appear during parsing? Any guidance or insights on debugging or adjusting the Groovy script or IDCAMS commands would be greatly appreciated.

asked 2 years ago381 views

2 Answers
3
  • I was able to run the TRAN batch job successfully after commenting out the encoding in the mentioned file. Thank you. Why does this error occur? Curious to know if it was a user error while following the Workshop?

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Based on the error messages you've provided, it appears you're encountering issues with the Groovy script execution in your AWS Batch job, specifically related to IDCAMS commands. Let's address your questions:

  1. Unexpected characters or syntax mismatches like _/: in Groovy or IDCAMS scripts can be caused by several factors:

    • Incorrect file encoding: Ensure your script is saved with the correct encoding (usually UTF-8).
    • Hidden characters: There might be invisible characters in your script, possibly from copy-pasting or file transfer issues.
    • Incorrect line endings: Make sure the file uses the correct line endings (LF for Unix/Linux, CRLF for Windows).
  2. Best practices for ensuring compatibility between Blu Age file paths and IDCAMS:

    • Use forward slashes (/) for path separators, even on Windows systems.
    • Avoid spaces in file names and paths; use underscores if needed.
    • Ensure all file paths are correctly specified relative to the working directory of the Batch job.
    • Double-check that the necessary permissions are set for accessing the files.
  3. To handle special character issues during parsing:

    • Use proper escaping techniques for special characters in your scripts.
    • Wrap file paths or commands containing special characters in appropriate quotes.
    • Consider using Groovy's slashy strings (/.../), which can help with escaping issues.

To debug and adjust your Groovy script or IDCAMS commands:

  • Review the TRANBKP_STEP05R_REPROC Groovy file for any syntax errors, especially around IDCAMS commands.
  • Check for any mismatched quotes or parentheses in your script.
  • Verify that all IDCAMS commands are properly formatted and follow the correct syntax.
  • Try running the IDCAMS commands separately to isolate any issues.
  • Use logging or print statements in your Groovy script to identify where exactly the error is occurring.
  • Ensure that the AWS Batch environment has the necessary permissions to execute the Groovy script and access any required resources.

Remember that when working with AWS Blu Age and mainframe modernization, there may be specific requirements for importing large data sets. For instance, importing LargeKSDS and LargeESDS on Mainframe Modernization managed environments is only possible using Groovy scripts currently. If you're working with large data sets, make sure you're following the appropriate procedures for your environment.
Sources
AWS Blu Age Blusam - AWS Mainframe Modernization
Common errors and troubleshooting - AWS Batch

answered 2 years ago

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