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Spotlight on DB2 6.10 - User Guide

Spotlight on IBM DB2 LUW (Linux, Unix, and Windows)
New in This Release Getting started with Spotlight on IBM DB2 LUW Desktop features specific to Spotlight on IBM DB2 LUW Spotlight on IBM DB2 LUW drilldowns
About Spotlight on IBM DB2 LUW drilldowns Buffer Pool Analysis drilldown Client Application Analysis drilldown Database Analysis drilldown Database Manager Summary drilldown Diagnostic Log drilldown FCM Analysis drilldown Tablespace Analysis drilldown Top SQL drilldown Operating System drilldown Workload Management Analysis drilldown
Spotlight on IBM DB2 LUW alarms Spotlight on IBM DB2 LUW Options Tuning SQL statements in Spotlight on IBM DB2 LUW
Spotlight Basics
Spotlight Connections Monitor Spotlight Connections Alarms Charts, Grids And Home Page Components View | Options Troubleshooting
Spotlight History Spotlight on Windows
Connect to Windows Systems Background Information Home Page Alarms Drilldowns View | Options Troubleshooting
Spotlight on Unix About us Third-party contributions Copyright

Completed Transaction Rate

The Request/Response Xact/s dataflow depicts the rate at which applications and the database manager are completing commits and rollbacks within the database or partition.

Required monitor switch

None

Displayed statistic

At each refresh, Spotlight captures the following statistic and displays it just above the dataflow:

  • Xact/s (completed transaction rate)—The number of commits and rollbacks completed per second within the database or partition. This number includes both internal transactions that the database manager executes and transactions completed at the application level.

Graph

The line graph that appears over the dataflow charts the completed transaction rate over the series of refreshes that occur during the Spotlight session.

Associated drilldown

Click the Request/Xact/s dataflow to open the Top SQL drilldown. This drilldown provides details about the SQL statements currently running (or recently run) on the database or partition and helps you pinpoint problem SQL.

 

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