Script generated by qlikview

[#1]

Hi,

Is there any way we can see the backend script or Algorith  generated by qlikview when we run a report ?

Thanks

KS

[Gysbert_Wassenaar]

No, because there is no script. The algorithms are executed by the chart engine. You cannot 'see' that. The code of the chart engine is the 'secret sauce' that only the Qlik engineers get to look at.

[aveeeeeee7en]

Hi

You can't see the Backend Script at the time of Reload.

But you can see the Script at the time Debugging.

See the Snapshot:

Regards

Av7eN

[#4]

Thanks for the reply Gysbert, but the question i am asking is to understand how can effectively we can test the created reports ? like in traditional BI, we get to see the backend queries generated when we run a report and can be used for testing if the joins or correct or the formula writen is returning correct results or are there any issues with grouping.

i understand qlikview works on associative model but how can we trust the expressions that we wrote are correct ? and are going to give correct results ? what is the basis for verifying this.

It would be great if you can help me understand this.

Thanks

KS

[Gysbert_Wassenaar]

That's a good question. The way to verify the correctness of your expressions is testing them. Create test data sets and the accompanying known correct results for that data set that the expressions should return. Load the test set and compare the results of the expressions with your known correct results. Do that for every test data set.

[Gabriel]

Hi,

Am not sure I fully understand what you want, but I think the answer might be to look in the Log file generated when you reload.

Ctlr + Alt + D then check GENERATE LOGFILE.

So once the reload is finished go to where you saved the qvw file you've just reloaded and see the logfile open it and look in there.,

Hopefully this is what you're after

[Peter_Cammaert]

You can further automate this in a way, by adding a macro to your QVW document that exports the table version of various objects to excel or csv. After loading the test data set and exporting the chart results, load the exports in a QVW that is expressly built for validation purposes. A few well constructed scripts and charts will point out any anomalies.

But the start is always - as Gysbert pointed out - a test data set and a list of expected output values. Make sure that your test data set covers as many areas and situations as possible.