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Message type: E = Error
Message class: OIUREP_MMS_2014 - PRA Production: MMS-2014 - Message Class
Message number: 075
Message text: Extraction rescheduled for & - & - &
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OIUREP_MMS_2014075
- Extraction rescheduled for & - & - & ?The SAP error message OIUREP_MMS_2014075, which indicates "Extraction rescheduled for & - & - &," typically relates to issues in the extraction process of data from the SAP system, particularly in the context of SAP Oil and Gas or similar modules that deal with data extraction and reporting.
Cause:
- Data Locking: The extraction process may be rescheduled due to data being locked by another process or transaction. This can happen if there are ongoing updates or changes to the data that the extraction process is trying to access.
- System Performance: If the system is under heavy load or if there are performance issues, the extraction process may be delayed or rescheduled.
- Configuration Issues: There may be configuration issues in the data extraction settings or in the data source itself.
- Job Scheduling Conflicts: Conflicts with other scheduled jobs that may be running at the same time can lead to rescheduling of the extraction job.
- Data Volume: Large volumes of data being processed can also lead to delays and rescheduling.
Solution:
- Check for Locks: Use transaction codes like SM12 to check for any locks on the data that the extraction process is trying to access. If locks are found, you may need to wait for the locks to be released or coordinate with the users holding the locks.
- Monitor System Performance: Use transaction codes like ST03N or ST22 to monitor system performance and check for any performance bottlenecks. If the system is under heavy load, consider rescheduling the extraction job during off-peak hours.
- Review Configuration: Check the configuration settings for the extraction process to ensure they are set up correctly. This includes reviewing the data source settings and extraction parameters.
- Job Scheduling: Review the job scheduling in transaction SM37 to identify any conflicts with other jobs. If necessary, adjust the scheduling of the extraction job to avoid conflicts.
- Data Volume Management: If the data volume is too high, consider breaking down the extraction into smaller batches or optimizing the extraction logic to handle the data more efficiently.
Related Information:
By following these steps, you should be able to identify the root cause of the error and implement a solution to resolve it.
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