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developer-toolspostgrestesting-frameworksgo-programming

Pgtestdb's template cloning approach to testing is fast

pgtestdb's template cloning approach to testing is fast

brandur.org

August 1, 2026

3 min read

🔥🔥🔥🔥🔥

45/100

Summary

pgtestdb is a Go/Postgres testing package that utilizes Postgres template databases for efficient testing. Cloning a template database is significantly faster than migrating a test database from scratch or using Docker-based techniques.

Key Takeaways

  • pgtestdb utilizes Postgres template databases for fast cloning, significantly reducing setup time compared to traditional migration methods.
  • The average setup time for pgtestdb cloning is approximately 98.4 ms, while creating and migrating schemas takes around 99.4 ms.
  • Overall test suite execution with schema-based methods runs about 3.5 times faster than using pgtestdb, due to optimizations in schema reuse.
  • Reusing schemas can potentially reduce test setup time to 10-20 ms, making it more efficient for large test suites.
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Community Sentiment

Positive

Positives

  • Using template databases for testing is a game-changer — speeds up the process dramatically, especially when you have a large schema.
  • The performance gains are noticeable, particularly with a 400-500 table schema; this method really enhances efficiency.
  • pgtestdb's approach to providing a clean database quickly is impressive, especially when migrations run only once, saving time across multiple tests.
  • Running PostgreSQL on a ramdisk can take the speedup even further, making the cloning process lightning fast and ideal for intensive testing.

Concerns

  • Some commenters are skeptical about the effort involved, suggesting that using fakes for tests might be easier and cheaper, especially for lower layers of testing.
  • Concerns were raised about the potential fragility of fakes in complex database operations, which can lead to misleading test results.
  • There’s a worry that the 'dirty db' testing approach could lead to ambiguous failures, making debugging more complicated.