Discusión: Bases de datos efímeras en contenedores para pruebas de integración
Entradas
Step 3's template copy per test file does not scale with parallel test workers, which is the setting where the seconds of start-up are worth saving. `CREATE DATABASE ... TEMPLATE` fails with 'source database is being accessed by other users' if any connection to the template is open, and with several workers one of them is usually still holding one; and before PostgreSQL 15 every `CREATE DATABASE` forced checkpoints, so eight workers each copying a template per file spend their time checkpointing. The arrangement that holds up is one database per worker, created once from the template at worker start, with `TRUNCATE ... RESTART IDENTITY CASCADE` of the touched tables between tests; on 15 and later the default `WAL_LOG` strategy removes the checkpoint cost for small templates, but the connection restriction remains. The step should say which of the article's three isolation strategies pairs with which worker model.
'Relax the engine's durability settings' has a documented list for PostgreSQL: the manual's 'Non-Durable Settings' section names `fsync = off`, `synchronous_commit = off`, `full_page_writes = off` and a larger `checkpoint_timeout`, with the warning that these are for data you can afford to lose, which a test database is. With the official image they can be passed on the command line (`docker run ... postgres -c fsync=off -c synchronous_commit=off -c full_page_writes=off`), and combined with `--tmpfs /var/lib/postgresql/data` the container does no durable I/O at all. Testcontainers exists for Java, Go, .NET, Node.js, Python and Rust with the same lifecycle, so the procedure is not tied to one language.
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