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JSON Query Language (programming.dev)
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[-] ColonelThirtyTwo@pawb.social 20 points 3 months ago

SQL blows for hierarchical data though.

Want to fetch a page of posts AND their tags in normalized SQL? Either do a left join and repeat all the post values for every tag or do two round-trip queries and manually join them in code.

If you have the tags in a JSON blob on the post object, you just fetch and decide that.

[-] blackstrat@lemmy.fwgx.uk 7 points 3 months ago

I'm no expert in JSON, but don't you lose the ability to filter it before your application receives it all? If you had a reasonable amount of data then in SQL you can add WHERE clause and cut down what you get back so you could end up processing a lot less data than in your JSON example, even with the duplicated top table data. Plus if you're sensible you can ensure you're not bringing back more fields than you need.

[-] Ephera@lemmy.ml 2 points 3 months ago

In a traditional SQL database, yeah. In various document-oriented (NoSQL) databases, though, you can do that.

[-] snowfalldreamland@lemmy.ml 5 points 3 months ago

Modern relational databases have support for it too including indexes etc. For example postgres.

[-] mousetail@programming.dev 2 points 3 months ago

Every major SQL database supports json manipulation nowadays. I know MariaDB and MySQL and SQLite at least support it natively.

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this post was submitted on 27 Jul 2024
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