SAS Data Analytic Development by Troy Martin Hughes

Author:Troy Martin Hughes
Language: eng
Format: epub, pdf
ISBN: 9781119255918
Publisher: Wiley
Published: 2016-09-06T00:00:00+00:00

Functional Failures

As data volume continues to increase and as system resources continue to be depleted, functional failure can become more likely; SAS software can terminate with a runtime error because it runs out of CPU cycles or memory. In some instances, the inefficiency elbow will have first been reached, indicating that performance will have slowed substantially as the process became less efficient. In other cases, the inefficiency elbow may not exist but a performance failure will occur because the execution time exceeds thresholds established in requirements documentation. Still, in other cases, some processes fail with runtime errors with no prior performance indicators (aside from FULLSTIMER metrics that may not have been monitored).

Figure 9.6 demonstrates performance of the SORT procedure when the volume of data is varied from 100,000 to 5 million observations. In a development environment that espouses software development life cycle (SDLC) principles, load testing would have demonstrated performance of the procedure at the predicted load of 2 million observations. However, realizing that data volume might increase over time, additional stress testing would have tested increasingly higher volumes of data to determine where performance and functional failures begin to occur.

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