Reduce the performance impact of custom code

 

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If custom code runs inside a page, it can affect that page's response time.

HTTP pages are containers of HTTP requests. On a given HTTP page, requests run in parallel across all of the connections between the agent computer and the system under test.

Page response time is the interval between page start and page end, which are defined as follows:

  1. Page start is the first timestamp associated with the client-server interaction. This interaction is either the first byte sent or the first connect of the first HTTP request.

  2. Page end is the last timestamp associated with the client-server interaction. This interaction is the last byte received of the last HTTP request to complete. Because of parallelism, the last HTTP request to complete might not be the last one listed for the page.

Typically, you should not insert custom code inside a page. While custom code that runs for only a few milliseconds should have little effect on page response time, the best practice is to place custom code outside a page. Custom code placed outside a page has no effect on page response time, and its execution time can overlap with think time delays.

Do not use custom code for data correlation if you can instead use the data correlation features built into RPTv8. The built-in data correlation code takes advantage of requests running in parallel, whereas custom code actions do not begin until all earlier actions are completed.

You might need to place custom code inside a page to correlate a string from the response of a request inside that page to another request inside the same page. Even in this case, if you split the page into two pages, you can use the built-in data correlation features instead of custom code.

If you still want to run tests with custom code inside HTTP pages, use the Page Element report to evaluate performance. The Page Element report shows the response time and throughput for individual HTTP requests. Custom code does not affect the response time measurement of individual HTTP requests.


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