Example: Classifying a Workload by Data Object - Teradata Workload Analyzer

Teradata Workload Analyzer User Guide

Product
Teradata Workload Analyzer
Release Number
17.00
Published
September 2019
Language
English (United States)
Restricted Access
TTU-17.00-EAP
Last Update
2019-06-07
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vjd1544831946946.ditamap
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dita:id
B035-2514
Product Category
Teradata Tools and Utilities
Workload classification criteria cannot be manually modified from the Classification tab of the Workload Attributes window. You can, however, add more classification criteria using the Split option.
  1. Right-click the workload in the list on the left side of the Workload Attributes window.
  2. Click Split from the right-click menu.. The Split Workloads dialog box appears. For details on the fields used for splitting workloads, see splitting Splitting Workloads.
  3. Click Add New Classification. The Classification tab appears, similar to the tab of the same name on the Workload Attributes window, however all functionality is enabled.
  4. Select the Choose another selection criteria check box. The --AND-- pane of the tab becomes visible, showing the Criteria #2 drop-down list. The list includes the items shown as check boxes in the Category pane of the Define DBQL Inputs dialog.
  5. Select Data Objects from the Criteria #2 list of the Classification tab. For more information, see Defining or Modifying Classification Criteria #2–6 for a WD.
  6. Click Choose.
  7. From the Classify by Data Object dialog box, click Choose from the Object Type drop-down list, and then select the type of data object to be used for classification from one of the following:
    • Database
    • Table
    • View
    • Macro
    • Stored Procedure
    • Function
    • Method
  8. Click Load to display all items that can be used as attributes for the selected data object.
  9. From the Available list, select the items you want to include as attributes and click Include.
    Use the Shift and Ctrl keys to select multiple consecutive or non-consecutive attributes. To move an attribute back to the Available list, select it and click Remove.
  10. From the Available list, select the attributes to exclude and click Exclude.
  11. When finished, click OK to return to the Classification tab and select additional criteria.