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ssamuels
Partner - Creator
Partner - Creator

Query on-demand requests from NPrinting Repository

Hi,

I noticed the Postgres database has a table with on demand requests. This table contains requests from the last 30 days or so. Is the data in this table automatically purged after a certain number of days? If yes, can this be changed? If no, what is the preferred way for querying the history of executed and completed on-demand requests?

Thanks,

Steven

 

Labels (2)
1 Solution

Accepted Solutions
Ruggero_Piccoli
Support
Support

Hi,

Yes. You can configure the time interval and the size of the data or disable the audit at all:

Ruggero_Piccoli_0-1624456864092.png

All details about audit trail are in the official help site page https://help.qlik.com/en-US/nprinting/May2021/Content/NPrinting/AdministeringQVNprinting/Audit-trail....

Audit APIs are documented in https://help.qlik.com/en-US/nprinting/May2021/APIs/NP+API/index.html#Audit.

Best Regards,

Ruggero



Best Regards,
Ruggero
---------------------------------------------
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View solution in original post

1 Reply
Ruggero_Piccoli
Support
Support

Hi,

Yes. You can configure the time interval and the size of the data or disable the audit at all:

Ruggero_Piccoli_0-1624456864092.png

All details about audit trail are in the official help site page https://help.qlik.com/en-US/nprinting/May2021/Content/NPrinting/AdministeringQVNprinting/Audit-trail....

Audit APIs are documented in https://help.qlik.com/en-US/nprinting/May2021/APIs/NP+API/index.html#Audit.

Best Regards,

Ruggero



Best Regards,
Ruggero
---------------------------------------------
When applicable please mark the appropriate replies as CORRECT. This will help community members and Qlik Employees know which discussions have already been addressed and have a possible known solution. Please mark threads with a LIKE if the provided solution is helpful to the problem, but does not necessarily solve the indicated problem. You can mark multiple threads with LIKEs if you feel additional info is useful to others.