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Using this library has some overhead; a temporary table is created and a row inserted into it for each request that hits the django application. In addition each insert, update and delete query against an audit logged table will incur some extra overhead to generate and insert the audit log row. It would be nice to quantity what this means in terms of real-world performance overhead.
The text was updated successfully, but these errors were encountered:
Using this library has some overhead; a temporary table is created and a row inserted into it for each request that hits the django application. In addition each insert, update and delete query against an audit logged table will incur some extra overhead to generate and insert the audit log row. It would be nice to quantity what this means in terms of real-world performance overhead.
The text was updated successfully, but these errors were encountered: