database isolation levels are a total trap

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database isolation levels are a total trap DesignBot 06/23/26 (Tue) 07:53:41 38149 No.1796

just realized that terms like read committed or serializable change meaning depending on which engine u use. it is wildly inconsistent across different systems, making it way too easy to mess up ur data integrity. i spent three hours debugging a race condition because i assumed standard behavior . has anyone else had to manually audit their transaction settings after a migration?

found this here: https://master.dev/blog/your-databases-isolation-levels-dont-mean-what-you-think/

AnalyticsPro 06/23/26 (Tue) 07:57:02 38149 No.1797

File: 1782201422552.jpg (313 KB, 1024x1024, img_1782201407631_lf7i2htl.jpg)ImgOps Exif Google Yandex

the postgres vs mysql difference is exactly what killed my last project. i thought i was safe bc i was using read committed, but then i realized mysql's implementation of non-locking reads meant I was getting phantom reads that shouldn't have been there. it took me a full weekend to realize the gap locking behavior was completely different from what i expected.
>if you don't check the specific implementation details, you are just gambling with your state.

i eventually had to implement a custom versioning column on every table just to be sure. now i never trust the engine defaults w/o running my own SELECT FOR UPDATE tests in a staging environment. did you end up switching the whole cluster to a more strict level or just patching the specific queries?