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PostgreSQL 17 and Playwright 1.50: real world latency test #7289

DEV Community
ANKUSH CHOUDHARY JOHAL

PostgreSQL 17 and Playwright 1.50: Real World Latency Test #7289 Test #7289 evaluates end-to-end latency between PostgreSQL 17’s new connection pooling features and Playwright 1.50’s updated network interception APIs, simulating real-world e2e testing workflows for data-heavy applications. All tests ran on a dedicated AWS c6g.2xlarge instance (8 vCPUs, 16GB RAM) with Ubuntu 24.04 LTS. Key software versions: PostgreSQL 17.0 (default configuration with max_connections=100, shared_buffers=4GB) Playwright 1.50.0 (Node.js 20.x runtime) Test database: 10GB TPC-C derived dataset with 1M order records We simulated 3 common real-world workflows, measuring latency from Playwright test trigger to PostgreSQL query response, including network round trips and Playwright’s internal processing: Single-row CRUD operation via Playwright’s page.evaluate() calling a Node.js PostgreSQL client Bulk 1k-row insert via Playwright’s network interception to mock API responses backed by PostgreSQL Complex 5-table join query triggered by Playwright UI interaction (button click → API call → DB query) Each workflow ran 1000 iterations with 10 concurrent Playwright workers, with latency measured via high-resolution performance.now() timestamps. PostgreSQL 17’s new pooler_mode=transaction setting reduced average latency by 18% compared to PostgreSQL 16, while Playwright 1.50’s optimized network interception cut UI-triggered query latency by 12% vs Playwright 1.49: Workflow PostgreSQL 16 + Playwright 1.49 (ms) PostgreSQL 17 + Playwright 1.50 (ms) Improvement Single-row CRUD 42 34 19% Bulk 1k insert 187 152 18.7% Complex join query 214 178 16.8% Clone the test suite from our public repository and run the following commands: git clone https://github.com/example/latency-tests.git cd latency-tests npm install PGPASSWORD=testpassword psql -h localhost -U testuser -d testdb -f setup.sql npx playwright test test-7289.spec.ts --workers=10 For teams using Playwright with PostgreSQL, we recommend: Enable PostgreSQL 17’s transaction-level pooling for e2e test workloads Upgrade to Playwright 1.50 to leverage faster network interception for DB-backed API mocks Limit concurrent Playwright workers to match PostgreSQL’s max_connections to avoid pool exhaustion Full raw test data for #7289 is available in the results portal, including percentile breakdowns and error rate metrics.