In Oracle's Autonomous Database, the DBMS_STATS.POSTPROCESS_STATS procedure is used to run post-processing operations on statistics gathered by the DBMS_STATS package. Disabling this procedure can be necessary for several reasons:
Performance Considerations: The post-processing operations can be resource-intensive. If your database has performance constraints or you are operating within a tight maintenance window, disabling these operations can help manage and reduce the load on the system.
Customization of Statistics Handling: In some cases, you might have custom scripts or procedures to handle statistics in a way that is optimized for your specific workload or business requirements. Disabling the default post-processing allows you to implement your own processes without interference.
Avoiding Potential Issues: Post-processing might cause unexpected issues in certain environments. Disabling it can be a troubleshooting step if you encounter anomalies in statistics collection or database behavior.
Steps to Disable DBMS_STATS.POSTPROCESS_STATS:
Connect to the Database: Use SQL*Plus or another database management tool to connect to your Autonomous Database.
Disable the Procedure: BEGIN DBMS_STATS.SET_PARAM('POSTPROCESS_STATS', 'FALSE'); END; /
Verify the Change: SELECT DBMS_STATS.GET_PARAM('POSTPROCESS_STATS') FROM DUAL;
Considerations:
Impact on Performance: Disabling post-processing can affect the quality and accuracy of the statistics. It is essential to monitor the database performance and query optimization after making this change.
Testing: Before implementing this change in a production environment, test it thoroughly in a staging or development environment to ensure it does not negatively impact your applications.
Documentation and Communication: Document the change and communicate it with your team to ensure everyone is aware of the modification and the reasons behind it.
By carefully managing the DBMS_STATS.POSTPROCESS_STATS setting, you can tailor the statistics collection and optimization process to better suit your database's performance and operational requirements.
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