Whenever you run a command or a query on a table, you take a lock on the table. Table locks block reads &/or writes during DDL In that case, the first transaction to acquire the lock can proceed, and the second one waits until the first transaction commits or aborts. Transactions run concurrently until they try to acquire a conflicting lock, for example when they update the same row. To make sure complex transactions can safely run at the same time, PostgreSQL uses several layers of locks to serialise changes to critical sections of the database. PostgreSQL is unique among open source databases in its support for complex, concurrent, ACID transactions. Postgres is pretty amazing with its support for complex, concurrent, ACID transactions This post aims to demystify the locking behaviors in Postgres, and to give advice on how to avoid common problems. You therefore have to be careful about which locks your transactions take, but with the high-level abstractions that PostgreSQL provides, it can be difficult to know exactly what will happen. While Postgres is amazing at running multiple operations at the same time, there are a few cases in which Postgres needs to block an operation using a lock. One problem I often see users struggle with when it comes to Postgres is locks. This means we help you with distributing your relational data model-and also with getting the most out of Postgres. On the Citus open source team, we engineers take an active role in helping our users scale out their Postgres database, be it for migrating an existing application or building a new application from scratch.
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