Appendix A. Attributes Affecting Performance

Many factors or attributes impact OPPM sizing. These factors may affect Performance/hardware resources, but it again depends on the complexity of their implementation, the impact is not predictable mostly until later in the implementation process. This list may help as a guide for assessing needs and for avoiding implementation designs that create performance issues. The following set of identified attributes have been considered:

Note: In some cases, a single user can trigger millions of functions, so it entirely depends upon the type of dataset, type of operations, etc. But the below suggested / tested data set does not cover those type of scenarios. Processing of such huge amount of actions may take more time.

Name of the attributes

Count

Total number of categories

5,000

Number of categories with horizontal functions

1551

Number of categories with vertical functions

4959

Number of categories that use the "today" function

11

Total number of sub-items, items and portfolios

31,941

Number of sub-items

21,571

Number of items

29,793

Data/row in cell history table

21,638,853

Data/row in cell history log table

1,354,215

Data/row in workflow instance audit log table

797,230

Some of the other attributes that can affect OPPM performance and sizing needs are:

Typically these parameters may not be the same for all deployments; it entirely depends on the data set, environment and type of operations etc. Thus, huge variations in the parameters, skewed usage of OPPM will impact capacity requirements mentioned in this sizing guide. Moreover, these recommendations are based on the testing conducted under controlled environment where only OPPM application will be running on the servers.

Related Topics

Best Practices for Better Performance

Factors Affecting Application Performance

Configuration, Hardware, and Environment Factors

Other Actions Affecting Performance



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Last Published Thursday, October 31, 2019