Why Fake PostgreSQL Test Data Misses Real Bugs

Most teams do not have a testing problem. They have a test data realism problem. Locally, the app runs against [email protected], User 1, and a seed script nobody wants to maintain. In CI, fixtures ...

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Why Fake PostgreSQL Test Data Misses Real Bugs

Source: DEV Community

Most teams do not have a testing problem. They have a test data realism problem. Locally, the app runs against [email protected], User 1, and a seed script nobody wants to maintain. In CI, fixtures slowly drift away from reality. Then the bugs show up after deploy: a customer name has an apostrophe or accent a field is NULL where your code assumed a string an account has 47 related records instead of 2 a query that worked on 20 rows falls over on 20,000 shared staging data gets mutated by three people at once If that sounds familiar, the answer usually is not "write more tests." It is "stop testing against fake data." What teams actually want What most teams actually want is not a full copy of production, not a giant pg_dump, and not another 400-line seed script. They want production-like data: realistic enough to expose bugs small enough to restore locally and in CI safe enough to use outside production reproducible enough that every developer can get the same result That is the gap mo

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