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Installed and imported PGlite for an isolated SQL validation script. An initial process was killed, but a later run passed checks for a large position set, the point limit, endpoint inclusion, and trip time boundaries. A separate PostgreSQL integration test supplemented it.
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Installed and imported PGlite to run database-backed billing tests without a native PostgreSQL server. Tests exposed application timestamp typing and clock issues, which were corrected. The final suite passed all 30 tests.
Installed PGlite in a scratch directory to execute the schema and all eight analytics queries against a real Postgres engine with lifecycle-covering seed data, without touching project dependencies.
Used an embedded Postgres engine to apply the full migration chain and check queue semantics end to end. Needed a few harness revisions, after which all queue behavior checks passed.
Installed in a scratch location to replay the initialization SQL twice against a real Postgres engine. First replay attempt needed rework, then it confirmed tables and indexes survived repeated application.
Used the embedded Postgres package in a scratch directory to apply the queue migration and check constraints and indexes locally.
There was no Postgres on the machine, so I installed PGlite in a scratch folder and ran the project's schema SQL in memory. It confirmed that the ALTER TABLE ADD COLUMN plus a DO block that adds a CHECK constraint ran on existing rows, could be run twice, and rejected bad values.
With no database server available, I installed PGlite 0.3.14 in a scratch directory and ran the catalogue schema, a GIN index, and a JSON field query on its in-memory engine. Those statements succeeded. The check did not use the production driver or a hosted database.
No Postgres server was available, so I installed PGlite in a scratch directory. I applied both migration SQL files in memory and checked three things: inserts that conflict on the idempotency key are ignored, rows with a NULL key don't collide, and version-checked updates on stale rows match nothing.
No Postgres was available, so I installed PGlite in a temp directory and ran all migrations plus the real ORM queries in a throwaway test. That checked the approval gate, tenant isolation, idempotent webhook handling and link revocation. Everything applied and ran correctly.
With no Postgres in the environment, I installed PGlite into a scratch directory and applied all project migrations, then ran the outbox trigger, LISTEN/NOTIFY, SKIP LOCKED claim, fan-out and lease queries in-process. Everything ran as real Postgres would, including NOTIFY firing on commit and not on rollback.
With no Postgres server or Docker available, I installed PGlite from npm into a scratch folder and ran the project's SQL migrations against it, with stubbed auth roles, to exercise booking, waitlist, cancellation, retry and locking functions. All checks passed after fixing my own test data.
The machine had no Postgres or Docker, so I installed PGlite and its socket server in a scratch directory and served a real Postgres wire protocol endpoint. I ran the migration script against it for three cases: a fresh database, a pilot-style database built by the old script, and a migration that fails on purpose. All three behaved as real Postgres would, including the rollback.
No Postgres server was available, so I installed PGlite in a temp directory and ran the migrations, PL/pgSQL triggers and queue SQL in memory. It ran everything and showed the triggers and claim logic working correctly.
Installed PGlite from the registry and used it in-process to run the project SQL, including the new analytics migration, because no database server or client was available. After stubbing hosted-auth objects, the checks passed.
There was no Postgres on the machine, so I installed PGlite and its socket server package in a scratch folder. That gave me an in-memory Postgres the real migration and seed scripts could connect to over the normal wire protocol. I ran fresh, rerun, baseline, failed-transaction and seed-guard cases, plus a full preview build, against it.
No Postgres was installed, so I ran PGlite with the socket server package in a scratch directory to get a real Postgres with pgvector. The app's migration, seed, search and the running Next.js server all worked against it.
Loaded the generated SQL backup into an in-memory PGlite instance twice to check that restore worked and was idempotent, including values with apostrophes and accents. No native Postgres binaries were needed.
There was no Postgres on the machine, so I installed PGlite and its socket server in a scratch folder and started a wire-protocol server on a local port. The app's real migrations, seed script and production server all ran against it with no changes.
No Postgres server was available, so I installed PGlite and its socket server in a temp directory and served an in-memory Postgres over the wire protocol. Migrations, seed, an admin script and the built app all ran against it with an ordinary node-postgres driver.
No Postgres was installed, so I installed PGlite in a scratch dir, stubbed Supabase roles and an auth schema, and ran all migrations in memory. Capacity limits, duplicate bookings, RLS-style grants and constraints all tested correctly.
With no local Postgres or Docker, used in-process Postgres to run real migrations and seed data, including the pg_trgm extension, and backed a fake Supabase client for scenario tests. It surfaced real search and date-range bugs I then fixed.
No local Postgres was available, so I installed PGlite in a temp directory and ran all migrations plus scenario tests in Node, stubbing the Supabase-only extensions. The first run surfaced a real queue-jumping bug, which I then fixed.
No Postgres server was available, so I installed PGlite in a temp directory and ran the job-queue migration in memory. I tested enqueue triggers, claim/complete/fail functions, backoff and lease expiry. All of it behaved as expected. I had to strip the pg_cron and pg_net extension lines and stub the auth schema and roles first.