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Message type: E = Error
Message class: ESH_HANA_ADMIN - ESH HANA Index Administration
Message number: 246
Message text: &1: Fulltext index creation while another job tries to delete - &2 &3 &4
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ESH_HANA_ADMIN246
- &1: Fulltext index creation while another job tries to delete - &2 &3 &4 ?The SAP error message ESH_HANA_ADMIN246 indicates that there is a conflict in the process of creating a full-text index in SAP HANA. Specifically, this error occurs when a job attempts to create a full-text index while another job is trying to delete an existing index. This situation can lead to a deadlock or a race condition, preventing the successful creation of the new index.
Cause:
- Concurrent Jobs: The primary cause of this error is the simultaneous execution of jobs that are trying to create and delete full-text indexes on the same database objects.
- Locking Mechanism: SAP HANA uses a locking mechanism to ensure data integrity. When one job holds a lock for deletion, another job trying to create an index on the same object will be blocked, leading to this error.
Solution:
Job Management:
- Check Running Jobs: Use the SAP HANA Studio or HANA Cockpit to monitor currently running jobs. Identify any jobs that are deleting indexes and wait for them to complete before starting the index creation job.
- Job Scheduling: Schedule the jobs to avoid conflicts. Ensure that index creation and deletion jobs do not run concurrently.
Retry Mechanism:
- Implement a retry mechanism in your job scheduling logic. If a job fails due to this error, it can be retried after a short delay.
Manual Intervention:
- If necessary, you can manually terminate the job that is causing the conflict, but this should be done with caution as it may lead to data inconsistency.
Database Maintenance:
- Regularly perform database maintenance to ensure that indexes are optimized and that there are no unnecessary jobs running that could lead to conflicts.
Related Information:
By following these steps, you should be able to resolve the ESH_HANA_ADMIN246 error and manage your full-text indexes more effectively.
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