Open abrom opened 6 years ago
I am working on porting this tool to Java/Kotlin for better performance. If you want to give it a try for early version you can find it here... https://github.com/dataanon/data-anon Sample project https://github.com/dataanon/dataanon-kotlin-sample
Not an issue per se.. I've been adding a bulk table update method to a fork of your project and thought you might be interested. Relatively simplistic at the moment but the general gist is
Seeing as the where filter is passed straight through to AR, it can be a hash or could include a subquery filter. The anonymisation currently just passes a random string through to the strategy but it could be made a bit smarter, looking at column type etc - for my purpose I'm just using the Anonymous strategy with a block as per above.
Another thought might be to simplify things even further by passing the query itself through as a param. Something like:
Not sure if there is a nice way to do cross connection copies, other than to dump and load. Seemed a bit crazy to do that in memory (and also didn't fit my use case), so for now only supports anonymising the source DB:
https://github.com/Studiosity/data-anonymization/commit/cdfcfecb8b2cc129fa1f6933e58b9260bb765820