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Message type: E = Error
Message class: 00 -
Message number: 865
Message text: No. of batch WP restarts (because abap/heaplimit exceeded) since startup
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00865
- No. of batch WP restarts (because abap/heaplimit exceeded) since startup ?The SAP error message "00865 No. of batch WP restarts (because abap/heaplimit exceeded) since startup" indicates that a batch work process (WP) has been restarted multiple times due to exceeding the ABAP heap memory limit. This can lead to performance issues and may disrupt batch processing jobs.
Cause:
- Memory Limit Exceeded: The ABAP program running in the batch process is consuming more memory than the configured heap limit. This can happen due to inefficient coding, large data processing, or memory leaks in the program.
- Configuration Settings: The default heap memory settings for the SAP system may be too low for the workload being processed.
- Data Volume: Processing large volumes of data in a single batch job can lead to excessive memory usage.
- Long-Running Jobs: Jobs that run for an extended period may accumulate memory usage over time, eventually exceeding the limit.
Solution:
Increase Heap Memory Limit:
- You can increase the heap memory limit for the ABAP work processes. This can be done by adjusting the profile parameters in the instance profile (usually
DEFAULT.PFL
or the specific instance profile).- The relevant parameters are:
abap/heaplimit
: This parameter defines the maximum heap memory that can be allocated to an ABAP program. Increase this value based on your system's capacity and requirements.- After making changes, restart the SAP instance for the changes to take effect.
Optimize ABAP Code:
- Review the ABAP code for inefficiencies. Look for large internal tables, unnecessary data processing, or memory leaks.
- Use performance analysis tools like the ABAP Runtime Analysis (transaction SE30) or the SQL Trace (transaction ST05) to identify bottlenecks.
Batch Job Management:
- Split large batch jobs into smaller, more manageable jobs to reduce memory consumption.
- Schedule jobs during off-peak hours to minimize the impact on system performance.
Monitor Memory Usage:
- Use transaction ST02 (Tune Summary) to monitor memory usage and identify any issues with memory allocation.
- Regularly check the number of restarts and analyze the logs for patterns or specific jobs that are causing the issue.
System Resources:
- Ensure that the underlying hardware has sufficient resources (CPU, RAM) to handle the workload. If necessary, consider upgrading the hardware.
Related Information:
By addressing the root causes and implementing the suggested solutions, you can mitigate the occurrence of this error and improve the stability and performance of your SAP system.
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