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by humodz
476 days ago
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Do you mind elaborating why a db partitioned like that is not enough for your registration example? If the partitioning is based on the email address, then you know where the new user's email has to be if exists, you don't need to query all partitions. For example, following your partitioning logic, if the user registers as john.smith@example.com, we'd need to query only partition j. |
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My broad understanding is that you can always "patch" or "work around" any single objection to partitioning or sharding—like using extra coordination services, adding more layers, or creating special-case code.
But each of these patches adds complexity, reduces flexibility, and constrains your ability to cleanly refactor or adapt later. Sure, partitioning email addresses might neatly solve registration checks initially, but then email changes require extra complexity (such as maintaining global indices and coordinating between partitions).
In other words, the real issue isn't that partitioning fails in a single obvious way—it usually doesn’t—but rather that global state always emerges somewhere, inevitably. You can try to bury this inevitability with clever workarounds and layers, but eventually you find yourself buried under a mountain of complexity.
At some point, the question becomes: are we building complexity to solve genuine problems, or just to preserve the appearance that we're fully partitioned?
(My visceral objection to it is, coming from client-side dev virtually my entire career: if you don't need global state, why do you have the server at all? Just give use a .sqlite for my account, and store it for me on S3 for retrieval at will. And if you do need global state...odds are you or a nearby experienced engineer has Seen Some Shit, i.e. the horror that arises in a codebase worked on over years, doubling down on an seemingly small, innocuous, initial decision. and knows it'll never just be one neat design decision or patch)