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Message type: E = Error
Message class: TQ - SAPup Messages
Message number: 712
Message text: & is used as a general compression factor
Each database system uses different methods for data compression. Some
SAP interfaces compress certain data, ABAP reports for example.
The factor that is specified serves as an upper limit for this
compression. This means that the actual compression can be greater. If
the factor is too small, the required freespace is underestimated,
which leads to an overflow in the database and causes the upgrade to
stop.
The system issues an error message and will not allow you to continue with this transaction until the error is resolved.
Error message extract from SAP system. Copyright SAP SE.
TQ712
- & is used as a general compression factor ?The SAP error message TQ712 typically relates to issues with the compression of data in the SAP system, particularly in the context of the SAP BW (Business Warehouse) or SAP HANA environments. The error message indicates that there is a problem with the compression of data in InfoCubes or DataStore Objects (DSOs).
Cause of TQ712 Error
- Data Volume: The error can occur when the volume of data being processed exceeds the system's capacity to handle it efficiently.
- Compression Settings: Incorrect or suboptimal compression settings may lead to this error. The system may not be able to compress the data as expected.
- Data Quality Issues: If there are inconsistencies or errors in the data being processed, it can lead to compression failures.
- System Performance: Insufficient system resources (CPU, memory) can also contribute to this error, especially during high-load operations.
Solution to TQ712 Error
- Check Data Volume: Review the amount of data being processed and consider breaking it into smaller batches if necessary.
- Review Compression Settings: Ensure that the compression settings for the InfoCube or DSO are configured correctly. You may need to adjust the settings based on the specific requirements of your data model.
- Data Quality Check: Perform a data quality check to identify and resolve any inconsistencies or errors in the data.
- System Resources: Monitor system performance and resource usage. If the system is under heavy load, consider optimizing performance or scheduling data processing during off-peak hours.
- Rebuild Indexes: In some cases, rebuilding indexes or performing a data reorganization can help resolve compression issues.
- SAP Notes: Check for any relevant SAP Notes or patches that may address known issues related to this error.
Related Information
If the issue persists after trying the above solutions, it may be beneficial to consult with SAP support or your system administrator for further assistance.
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