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Tracking Important System Limits

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Abstract

System limit tracking provides IBM i health insight:
1) Recognize when the IBM i is trending towards an outage or serious condition.
2) Identify a run-away job that is endlessly consuming an operating system resource.

Content

You are in: IBM i Technology Updates > Db2 for i - Technology Updates > IBM i Services (SQL) > Tracking Important System Limits
Automatic tracking of System Limits enables you to:
  •     Understand when an application is trending towards a failure
  •     Gain insight regarding application or system outages
  •     Identify applications which are operating inefficiently
  •     Establish a general use mechanism for communicating limit information
Automatic tracking of important system limits is a health touchpoint on IBM i. The system instrumentation for automated tracking focuses on a subset of system limits. As those limits are consumed, tracking information is registered in a Db2 for i system table called QSYS2/SYSLIMTBL A view named QSYS2/SYSLIMITS is built over SYSLIMTBL and provides additional contextual information regarding the rows in the table.

IBM Documentation:  System Health Services

Messages are sent to the QSYSOPR message queue daily when critical limits have been reached.

Alerts for IBM i System Limits

Enhanced with IBM i 7.5 SF99950 Level 5 and IBM i 7.4 SF99704 Level 26:

  • Added alert support for 15002 (Maximum number of deleted rows in a partition)

Enhanced with IBM i 7.4 SF99704 Level 15 and IBM i 7.3 SF99703 Level 26:

  • Add SYSIBMADM based Global Variables to control the pruning of historically old rows
  • Change the nightly default pruning behavior to remove any row that is older the 90 days

Enhanced with IBM i 7.4 base release and IBM i 7.3 SF99703 Level 15:

  • Add tracking for a new database limit: 15003 (Maximum size of the data in a table partition)
  • When sending the alert message to QSYSOPR, use the SQL7062 message identifier

See this presentation for additional details:

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Document Information

Modified date:
06 October 2023

UID

ibm11136884

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