Testing Search Behavior

Search bugs are often semantic. The code may run fine while the results are still wrong.

That means search testing should check behavior, not just execution.

What to test

Useful search tests cover:

• whether the right documents match
• whether obvious results rank near the top
• whether filters exclude the right documents
• whether phrase or range behavior matches expectations
• whether edge cases stay stable

Prefer small corpora with clear intent

A good test corpus is tiny but purposeful. Each document should exist for a reason:

• one should be an exact title hit
• one should be a noisy near match
• one should test exclusions
• one should test a boundary condition

That makes failures easier to interpret.

Ranking assertions should stay pragmatic

Ranking tests are easiest to maintain when they assert what really matters.

Examples:

• the best document appears first
• a known relevant document appears in the top 3
• an excluded document does not appear at all

Avoid over-specifying every exact score unless score math itself is the thing under test.

Test representative queries

Treat your expected user queries as fixtures:

• short exact queries
• partial queries
• phrase-like queries
• typo-heavy queries
• filter combinations

That gives you an early warning when a schema or analyzer change shifts behavior.

Why this matters

Search quality regresses quietly. A normal unit test may still pass while relevance gets noticeably worse. Behavioral search tests help catch that before users do.