Database Testing
Java applications that talk to a database face a persistent testing problem: how do you test database interactions without making tests slow, fragile, or dependent on production data? DbUnit solves this by providing a framework for managing test datasets — populating tables before tests and verifying their state afterward. This guide
Database Testing
Schema drift is one of the most dangerous forms of technical debt in database-driven applications. It happens gradually: a developer adds a column directly to staging but forgets to write a migration, another runs a manual ALTER TABLE on production to fix an emergency, and a third adds an
Deployment Testing
Database migration bugs are among the most damaging deployment failures. A bad migration can corrupt data, lock tables during peak traffic, or make rollback impossible. Most teams test their application code thoroughly and test their migrations barely at all. This guide covers how to build database migration testing into your
Database Testing
A bad database migration is one of the worst production incidents you can have. Unlike a bad code deploy, you can't just roll back — the data is already mutated. A migration that drops a column, truncates a table, or corrupts data during a lock-heavy ALTER can take
Testing
Convex is a backend platform that bundles your database, backend functions (queries, mutations, actions), and real-time subscriptions together. The testing story is distinct from traditional backends: you're not testing a REST API — you're testing TypeScript functions that run inside the Convex runtime, with reactive query
Database Testing
PostgreSQL performance problems are rarely obvious until they're in production. A query that runs fine on 10,000 rows starts doing sequential scans on 10 million. An index that covers the happy path misses the query your new feature generates. Connection pool exhaustion looks like application errors, not
Database Testing
Database testing has its own equivalence partition structure driven by database constraints, SQL semantics, and the specific behaviors of NULL, type boundaries, and referential integrity. This post covers how to apply BVA and EP to database layer testing specifically. Database Column Constraints as Partition Sources Every column constraint defines partitions:
Database Testing
Database logic doesn't live only in application code. Stored procedures, triggers, views, and constraints encode business rules directly in the database — and those rules need tests too. pgTAP is the standard unit testing framework for PostgreSQL, letting you write tests as SQL functions using the TAP (Test Anything
Database Testing
ORMs hide SQL behind object abstractions, which makes application code cleaner but creates a testing trap: it's tempting to mock the ORM and test nothing real. Mock-based ORM tests can show 100% coverage while completely missing query logic bugs, N+1 problems, and constraint violations that only
GCP Testing
Firestore transactions are the safety net for complex multi-document operations. They guarantee that either all writes succeed or none do.
Chaos Engineering
Database failures are uniquely destructive. Most applications can degrade gracefully when a downstream API is slow — retry logic, circuit breakers, and fallback responses let users continue with reduced functionality. But when the database fails, most applications fail completely. This makes the database the highest-value target for chaos engineering. Understanding
Database Testing
Xata is a serverless database platform built on PostgreSQL with a TypeScript SDK, full-text search, branch-based development workflows, and an HTTP API.