Hello,
I have an application that create reports on different data sets presented.
so i saw an example in the manual of comparing files using .csv files. However it says that due to performance issues it is not advised to use csv file comparisons on large number of reports. Make sense,However, I have around 50-60 reports and might increase how should i verify them? Is there is any good way.
Validate a lot of reports
Re: Validate a lot of reports
Hi,
Without seeing the report you are trying to validate, it's hard to suggest something reliable. Could you please upload a sample report you want to validate? I'm regularly using CSV file comparison in my tests (either for validating or setting purposes) and I see nothing wrong with it? I mean, I'm not experiencing any significant performance problem due to the CSV file comparison.
Without seeing the report you are trying to validate, it's hard to suggest something reliable. Could you please upload a sample report you want to validate? I'm regularly using CSV file comparison in my tests (either for validating or setting purposes) and I see nothing wrong with it? I mean, I'm not experiencing any significant performance problem due to the CSV file comparison.
Pavel Kudrys
Ranorex explorer at Descartes Systems
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Re: Validate a lot of reports
odklizec is 100% right about not being able to give reliable information without more information on the data sets and what kinds of comparisons you're looking for. I think this is something every automation engineer faces at one point or another. Not all solutions are scalable and some of the more scalable solutions do NOT do well with smaller data sets.
The difference between comparing 50 - 60 reports with 5 rows of data each and 50 - 60 reports with 500000 rows of data each is pretty huge.
The difference between comparing 50 - 60 reports with 5 rows of data each and 50 - 60 reports with 500000 rows of data each is pretty huge.
Doug Vaughan