How can you identify a unit of work such as a report that consists of multiple SQL requests that span multiple tiers in the enterprise, such as a web service? Use query banding.
Which external users are using the most resources?
Access the information stored in the QueryBand field in the DBC.DBQLogTbl table when you enable query logging. See Tracking Query Behavior with Database Query Logging: Operational DBAs.
Sel Username (Format 'x(10)'), queryband(Format 'x(40)'), AMPCPUTime from qrylogV where ampcputime > .154; *** Query completed. 9 rows found. 3 columns returned. *** Total elapsed time was 1 second. UserName QueryBand AMPCPUTime ---------- ---------------------------------------- -------------- TWMUSER1 =S> CLUser=KShort;Dept=Sales;Job=z995; 0.188 TWMUSER18 =S> CLUser=TJuli;Dept=DMgr;Job=x1235; 0.170 TWMUSER =S> CLUser=TJuli;Dept=DMgr;Job=x1234; 0.171 TWMUSER13 =S> CLUser=BPut;Dept=Mgr;Job=q2120; 0.173 TWMUSER1 =S> CLUser=KShort;Dept=Sales;Job=z995; 0.157 TWMUSER27 =S> CLUser=KShort;Dept=Sales;Job=z996; 0.186 TWMUSER2 =S> CLUser=DThom;Dept=Manuf;Job=a100; 0.156 TWMUSER28 ? 0.158 TWMUSER =S> CLUser=DGale;Dept=Mktg;Job=m125; 0.158 BTEQ -- Enter your DBC/SQL request or BTEQ command:
You can even use query bands to determine what functional area of an application is using the most resources.
How can I control how a workload or type of query from a specific session uses system resources?
Set up rules using Teradata Viewpoint Workload Designer portlet and associate query bands with filter rules or define them as workload definition attributes.
Is there a correlation of CPU time by region?
Using Teradata Workload Analyzer, you can get a report of how CPU time is affected by queries coming from different regions. For example you can track CPU time in the Atlantic, Central, Northeast, Northwest, Southeast, and so on.
Are there some months when response time is slower than others? That is, are there correlations of response times by current month?
Using Teradata Workload Analyzer, generate reports to measure resource usage by periods of time such as by month or quarter. You could generate a report like the following: