The two practices I have participated in and have seen used for testing stored procedures (SP) are:
- Conduct code reviews of the stored procedures-- SPs are in fact as powerful and manipulative as code, so both code reviews and version control are practices to consider implementing.
- Build data sets to both test the stored procedures as well as test the performance of a stored procedure. Let me explain more specifically:
To test a stored procedure functionally, you can build one or more sets of data that test both a positive as well as negative aspect of the procedure. A positive test to prove the SP works against the specific data set and handles the data as expected as well as a negative set of data-- it might be data that falls outside of the SP to ensure that the SP does not impact data it is not expected to. Also you can challenge the SP-- creating data sets that push boundary condition or fall on the edge of a business rule to see how gracefully the SP handles those types of challenges.
To test the performance of a SP, you could follow a similar process building larger data sets. You could also isolate sections of the SPs and run those separately to see how specific SQL statements execute in terms of performance.
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