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Message type: E = Error
Message class: PU - Upgrade and Transport Log Messages
Message number: 487
Message text: XCLA &1: Runtime &2sec, &3 data record(s) read/&4 modified
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PU487
- XCLA &1: Runtime &2sec, &3 data record(s) read/&4 modified ?The SAP error message PU487 typically relates to performance issues during the execution of a program or transaction that involves reading and modifying data records. The message indicates that a certain runtime has been exceeded, and it provides information about the number of data records read and modified.
Cause:
- Performance Bottlenecks: The error can occur due to performance bottlenecks in the system, such as inefficient database queries, lack of proper indexing, or high system load.
- Large Data Volume: If the transaction is processing a large volume of data, it may exceed the expected runtime thresholds.
- Inefficient Code: Custom ABAP code or poorly optimized standard programs can lead to excessive runtime.
- Database Locking: If there are locks on the database tables being accessed, it can slow down the read and modify operations.
Solution:
- Analyze Performance: Use transaction codes like ST05 (SQL Trace) or ST12 (Combined Trace) to analyze the performance of the program. Look for long-running SQL statements or inefficient code.
- Optimize Queries: If the issue is related to specific database queries, consider optimizing them. This may involve adding indexes, rewriting queries, or breaking down complex operations into smaller, more manageable ones.
- Review Custom Code: If the error is occurring in custom ABAP programs, review the code for inefficiencies. Look for loops that process large datasets and consider using more efficient data handling techniques.
- Increase Runtime Thresholds: If the performance is acceptable but just exceeds the thresholds, you may consider increasing the runtime limits in the relevant configuration settings. However, this should be done cautiously and only after ensuring that the underlying performance issues are addressed.
- System Performance Tuning: Check the overall system performance, including memory usage, CPU load, and database performance. Consider tuning the system parameters if necessary.
- Batch Processing: If applicable, consider processing data in smaller batches rather than all at once to reduce the load on the system.
Related Information:
If the problem persists after trying the above solutions, it may be beneficial to consult with your SAP Basis team or reach out to SAP support for further assistance.
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