Task: Review and Refine Query Performance Benchmarks

Overview

Review the newly implemented query performance benchmarks in packages/client/src/__tests__/benchmarks/query-performance/ to ensure comprehensive coverage, accuracy, and alignment with real-world Prisma usage patterns.

Current State

The query performance benchmark suite has been implemented with:

• query-performance.bench.ts - End-to-end benchmarks with SQLite/better-sqlite3
• compilation.bench.ts - Wasm query compiler benchmarks
• schema.prisma - Comprehensive schema with typical web app models
• seed-data.ts - Configurable data generation (small/medium/large)
• prisma.config.ts - Prisma configuration for benchmarks

Review Areas

1. Query Coverage Completeness

Verify all critical query patterns are covered:

2. Schema Alignment

Review schema.prisma for:

• Model complexity matches typical production schemas
• Index coverage is realistic
• Relation patterns cover common use cases (1:1, 1:N, M:N)
• Field types include common variations (String, Int, Float, Boolean, DateTime)
• Self-referential relations are tested (Category hierarchy, Comment replies)

3. Data Seeding Review

Review seed-data.ts configurations:

Questions to address:

• Are data volumes representative of production workloads?
• Is the randomization providing sufficient variety?
• Should we add an "xlarge" config for stress testing?

4. Compilation Benchmarks

Review compilation.bench.ts for:

• All query types have corresponding compilation benchmarks
• BENCHMARK_DATAMODEL matches the runtime schema
• Query objects accurately represent internal protocol format
• Compiler instantiation is measured separately

5. Benchmark Accuracy

Verify benchmark measurements are accurate:

• Setup/teardown doesn't pollute measurements
• Warm-up runs are handled by the framework
• Database state is consistent between iterations
• Memory pressure doesn't affect results (SQLite in-memory)

Action Items

High Priority

1. Add missing query patterns:

   • createMany operations
   • delete and deleteMany operations
   • Cursor-based pagination
   • Raw query benchmarks ($queryRaw, $executeRaw)

2. Add edge case benchmarks:

   • Empty result sets
   • Single vs. batch operations comparison
   • Large payload writes

Medium Priority

3. Enhance filtering benchmarks:

   • NOT conditions
   • in operator with various array sizes
   • Deeply nested where clauses
   • Date range filtering

4. Add missing relation patterns:

   • select with nested relations (not just include)
   • M:N relation queries through junction table
   • Relation counts without loading data

Low Priority

5. Consider additional scenarios:
   • Multiple concurrent queries
   • Connection pool behavior (not applicable to SQLite in-memory)
   • Query plan caching effects

Validation Steps

After refinements:

# Run all query performance benchmarks
pnpm bench query-performance

# Run compilation benchmarks
pnpm bench compilation

# Verify no regressions with full suite
pnpm bench

Output Expectations

After review and refinements:

• All benchmark categories should have 15-30 individual benchmarks
• Execution time for full suite should be < 5 minutes locally
• Results should be stable (±5% variance between runs)
• CI should pass without timeouts

Dependencies

• None (can be done independently)

Related Tasks

• Task 001: Migrate to tinybench (API changes may simplify async handling)
• Task 002: Bump codspeed version (ensure compatibility)