Learn how to efficiently reset your PostgreSQL database between integration tests without slowing down your development workflow. In this talk, we introduce a scalable and language-agnostic approach using PL/pgSQL to maintain fast, consistent, and reliable test environments.
Whether you're a backend developer, data engineer, or working with automated testing pipelines, this session will help you improve test performance and eliminate flaky test data issues.
🚀 What You’ll Learn:
Best practices for resetting PostgreSQL databases between tests
Why traditional cleanup methods (truncate/drop) can slow you down
How to use PL/pgSQL functions, triggers, and procedures for automation
Techniques to ensure consistent and isolated test environments
Boosting integration test speed and reliability
👨💻 Who Should Watch:
PostgreSQL Developers
Backend Engineers
QA / Test Engineers
DevOps & Data Engineers
Anyone working with database-driven applications
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💻 GitHub: https://github.com/prairiepostgres
💼 LinkedIn: / prairie-postgres
📅 Meetup: https://www.meetup.com/illinois-prair...
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