"UPDATE table_name SET w = $1, x = $2, z = $4 WHERE y = $3 RETURNING *",

does not do the same as

"UPDATE table_name SET w = $1, x = $2, y = $3, z = $4 RETURNING *",

It’s 2 am and my mind blanked out the WHERE, and just wanted the numbers neatly in order of 1234.

idiot.

FML.

  • AlphaOmega
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    1 year ago

    This is a hard lesson to learn. From now on, my guess is you will have dozens of backups.

    • @marcos@lemmy.world
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      641 year ago

      And a development environment. And not touch production without running the exact code at least once and being well slept.

          • @snail_hatan@lemmy.ml
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            31 year ago

            Totally right! You must set yourself up so a fool can run in prod and produce the expected result. Which is the purpose of a test env.

        • @snail_hatan@lemmy.ml
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          1 year ago

          Replied hastily, but the way to run db statements in prod while dealing with sleep deprivation and drinking too much is to run it a bunch in several test env scenarios so you’re just copy pasting to prod and it CAN confidently be done. Also enable transactions and determine several, valid smoke tests.

          Edit: a -> several

      • @sim642@lemm.ee
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        111 year ago

        Transactions aren’t backups. You can just as easily commit before fully realizing it. Backups, backups, backups.

        • @elvith@feddit.de
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          201 year ago

          Yes, but

          1. Begin transaction
          2. Update table set x=‘oopsie’
          3. Sees 42096 rows affected
          4. Rollback

          Can prevent a restore, whereas doing the update with auto commit guarantees a restore on (mostly) every error you make

          • Can prevent a restore, whereas doing the update with auto commit guarantees a restore on (mostly) every error you make

            Exactly. Restores often result in system downtime and may take hours and involve lots of people. The backup might not have the latest data either, and restoring to a single table you screwed up may not be feasible or come with risk of inconsistent data being loaded. Even if you just created the backup before your statement, what about the transaction coming in while you’re working and after you realize your error? Can you restore without impacting those?

            You want to avoid all of that if possible. If you’re mucking with data that you’ll have to restore if you mess up, production or not, you should be working with an open transaction. As you said… if you see an unexpected number of rows updated, easy to rollback. And you can run queries after you’ve modified the data to confirm your table contains data as you expect now. Something surprising… rollback and re-think what you’re doing. Better to never touch a backup and not shoot yourself in the foot and your data in the face all due to a stupid, easily preventable mistake.

    • @kucing@lemmy.ml
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      151 year ago

      I’ve read something like “there are two kinds of people: those who backup and those who are about to”