How To Fix PYC_CONT013 - Job run failed; current status is &1 &2


SAP Error Message - Details

  • Message type: E = Error

  • Message class: PYC_CONT -

  • Message number: 013

  • Message text: Job run failed; current status is &1 &2

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  • Self-Explanatory Message

    Since SAP believes that this specific error message is 'self-explanatory,' no more information has been given.The majority of messages in the SAP system have a message text, however this is frequently insufficient to comprehend or resolve the problem.

    To make things easier, more detailed information is frequently added to describe the issue, how to fix it, and the necessary steps or configuration modifications.

    Unfortunately, there isn't any extra information in this error notice.



    What else can you do?

    First, use our AnswerBot below to get a possible cause and solution (requires a premium subscription).

    Also, review the in-depth Common Questions & Answers listed below; you could discover a solution there or be able to connect with others who have faced similar challenges.

    You can also try searching the SAP support portal (support.sap.com) but you need a special user ID to access it. It is possible that an SAP support note exists that provides additional details about the mistake or even steps for fixing it.


Smart SAP Assistant

  • What is the cause and solution for SAP error message PYC_CONT013 - Job run failed; current status is &1 &2 ?

    The SAP error message PYC_CONT013 indicates that a job has failed to run, and the current status of the job is provided in the placeholders &1 and &2. This error is typically related to issues in the SAP Controlling (CO) module, particularly in the context of planning or actual data processing.

    Causes:

    1. Job Configuration Issues: The job may not be configured correctly, leading to execution failures.
    2. Data Issues: There may be inconsistencies or missing data in the master data or transaction data that the job is trying to process.
    3. Authorization Problems: The user executing the job may not have the necessary authorizations to perform the actions required by the job.
    4. System Resource Limitations: Insufficient system resources (like memory or processing power) can cause jobs to fail.
    5. Technical Errors: There may be underlying technical issues, such as database connectivity problems or issues with the application server.

    Solutions:

    1. Check Job Logs: Review the job logs for detailed error messages that can provide insights into why the job failed. This can often point you to the specific issue.
    2. Validate Data: Ensure that all necessary data is present and correct. Check for missing or inconsistent data in the relevant tables.
    3. Review Job Configuration: Verify that the job is configured correctly, including parameters and scheduling.
    4. Check Authorizations: Ensure that the user executing the job has the necessary authorizations to perform the required actions.
    5. Monitor System Resources: Check system performance and resource availability. If resources are low, consider optimizing the job or running it during off-peak hours.
    6. Re-run the Job: After addressing the identified issues, try re-running the job to see if it completes successfully.

    Related Information:

    • Transaction Codes: You can use transaction codes like SM37 (Job Monitoring) to check the status of jobs and view logs.
    • SAP Notes: Search for relevant SAP Notes in the SAP Support Portal that may address specific issues related to this error message.
    • Documentation: Review SAP documentation related to the specific job or process you are working with to ensure compliance with best practices.

    If the issue persists after trying the above solutions, it may be necessary to involve your SAP Basis team or SAP support for further investigation.

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