I’m an accidental DBA, but I still never quite got the hate for ORMs. I thought this article does a good job explaining the issue, and why they aren’t so bad.

  •  Paradox   ( @Paradox@lemdro.id ) 
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    8 months ago

    Data comes out as a map or keyword list, which is then turned into the repository struct in question. If you want raw db data you can get that too. And you can have multiple structs that are backed by the same persistent dataset. It’s quite elegant.

    Queries themselves are constructed using a language that is near SQL, but far more composable:

    Repo.one(from p in Post, join: c in assoc(p, :comments), where: p.id == ^post_id)
    

    Queries themselves are composable

    query = from u in User, where: u.age > 18
    
    query = from u in query, select: u.name
    

    And can be written in a keyword style, like the above examples, or a functional style, like the rest of elixir:

    User
    |> where([u], u.age > 18)
    |> select([u], u.name)
    

    None of these “queries” will execute until you tell the Repo to do something. For that, you have commands like Repo.all and Repo.one, the latter of which sticks a limit: 1 on the end of the provided query

    • I wouldn’t call that “near” SQL, I’d basically just call it SQL. Nothing wrong with that… SQL is great, and using proper language constructs instead of strings makes it even better… but it’s not solving the some problem as an ORM.

      •  Paradox   ( @Paradox@lemdro.id ) 
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        18 months ago

        True, however it occupies the same niche an ORM occupies, without the foot guns. Updating a slew of different db tables from rather clean and straightforward models is relatively simple. It tries to live somewhere between just doing everything as SQL and abstracting everything away like AR does, giving you conveniences from both approaches. You don’t get mired in scoping hell, but you don’t have big ugly messes of nearly-identical SQL statements either.

        i’d recommend trying it out https://hexdocs.pm/ecto/Ecto.html