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OrioleDB is now in public beta, on every Supabase plan. It changes how Postgres stores your table rows, so in most cases they don’t bloat as your data changes. Learn more →

30,633 просмотров • 5 дней назад •via X (Twitter)

Комментарии: 10

Фото профиля Kuldeep Pisda
Kuldeep Pisda5 дней назад

so the bloat moves into the undo log instead, curious how big that gets with a long analytics query holding a snapshot

Фото профиля Sachin
Sachin5 дней назад

postgres table bloat has been the silent tax on every busy app autovacuum about to get a lot less screen time

Фото профиля Agentik
Agentik5 дней назад

does it play nice with pgvector?

Фото профиля E1ev3n.
E1ev3n.5 дней назад

Table bloat is the silent killer I know too well. I have watched my own side project slow down for no obvious reason, only to find the database had quietly ballooned. A storage engine that stops the bloat before it starts is the kind of fix I would take in beta, risks and all.

Фото профиля Hershal Rao
Hershal Rao5 дней назад

finally my write-heavy queue tables can stop gaslighting me

Фото профиля Sujal
Sujal5 дней назад

Does it work on existing tables or only on ones you create after turning it on?

Фото профиля Kalu
Kalu5 дней назад

public alpha in dec 2024, public beta now, still not for prod. see you at ga in 2028?

Фото профиля Anand Butani
Anand Butani5 дней назад

Postgres bloat is a quiet tax that pushes startups into pricier database plans and cleanup jobs. If OrioleDB holds up, the real win is smaller bills

Фото профиля Mohammad Vazin
Mohammad Vazin5 дней назад

OrioleDB's undo-log design means updates stop leaving dead tuples for autovacuum to chase. The real test for me is write-heavy queue and session tables, which is where we've always fought bloat and vacuum tuning hardest.

Фото профиля RusticStack
RusticStack5 дней назад

OrioleDB doesn't do Postgres's predicate-lock SSI, so SERIALIZABLE behaves differently there. The default orioledb.serializable = table_lock takes an ExclusiveLock on every table the transaction touches, and serializable writers on the same table end up running one at a time.

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