IBM Data and AI Ideas Portal for Customers


This portal is to open public enhancement requests against products and services offered by the IBM Data & AI organization. To view all of your ideas submitted to IBM, create and manage groups of Ideas, or create an idea explicitly set to be either visible by all (public) or visible only to you and IBM (private), use the IBM Unified Ideas Portal (https://ideas.ibm.com).


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Welcome to the IBM Ideas Portal (https://www.ibm.com/ideas) - Use this site to find out additional information and details about the IBM Ideas process and statuses.

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Status Delivered
Workspace Db2
Components Monitoring
Created by Guest
Created on Nov 10, 2017

RELATED IDEAS

Include failure / warning counts in mon_get_pkg_cache_stmt

It's currently not possible to monitor the failure rate of an SQL statement. For example, count of dupkey on INSERT. Likewise for 'soft' errors (warnings) like +100 - row not found on INSERT or DELETE. High rates of these can be a significant drain on system resources and typically indicate either an application problem, or a lack of understanding of the data set. The dupkey problem is particularly challenging since the system will continue to run, but unless the application captures and handles the error, it often goes unnoticed, except for issues such as excessive lock wait and contention, especially in high concurrency environments such as on pureScale.

What is proposed are two new columns in MON_GET_PKG_CACHE_STMT
1) NUM_EXEC_WITH_FAILURE - on the same scale as NUM_EXECUTIONS but only counting executions which returned a negative SQLCODE
2) NUM_EXEC_WITH_WARNING - likewise, but for positive SQLCODEs.

Additionally, LAST_ERROR_SQLCODE and LAST_WARNING_SQLCODE would help on drill-down.

There is precedent for these, since MON_GET_CONNECTION currently reports on the number of failed activities (ACT_ABORTED_TOTAL) but this is a the connection level, and isn't helpful for diagnosing failures at the statement level.

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