"Granularity"- An Important Factor in test result Analysis
You can make the graphs easier to
read and analyze by changing the granularity (scale) of the x-axis. The maximum granularity is
half of the graph's time range. To ensure readability and clarity, Analysis
automatically adjusts the minimum granularity of graphs with ranges of 500
seconds or more.
The
granularity affects the graph smoothing, or
number of data points. A high granularity value will reduce clutter and
improve
readability, but it may hide events such as spikes. The trick is to
adjust the granularity to maximize readability but accurately represent
any important
events.
Following
example shows the average transaction response time graph with three different granularity.
Granularity=128
Sec
Granularity=
64 Sec
Granularity=16
Sec
It can be seen that reducing granularity gives more accurate test
results and shows if the result has frequent spikes and response is not
consistent.
SO it’s really important that we choose right granularity while
analyzing test results nad preparing test reports and graphs.
Note:
- However for larger performance tests setting the granularity too low may cause the Analysis tool to hang for a few minutes.
- It is also important to note that Analysis recalculates the average response times when the granularity is changed, so be sure to always use the same granularity when comparing test runs.
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