3 ms·
> no locks in you backend PG is still handling the locks for you, so this isn’t like a bulletproof solution and - like always - depending on your use case, sca
by shshshsjjjj 8mo ago
> no locks in you backend
PG is still handling the locks for you, so this isn’t like a bulletproof solution and - like always - depending on your use case, scale, etc this may or may not work.
> No matter the load and concurrent users it will work like magic
Postgres will buckle updating a single row at a certain scale.
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Regardless, this article was about testing a type of scenario that is commonly not tested. You don’t always have a great tool like PG on hand that gives you solutions so this testing isn’t needed.