Performance Testing and Optimization for Large Block Retrieval

[quiet-node]

Description

Set up and execute performance testing focused on retrieving blocks with a large number of transactions, especially those exceeding previous paging limits.

This includes:

• Aligning with performance engineering and Mirror Node teams to select appropriate testing tools and APM solutions.
• Defining load test scenarios that simulate realistic large-block queries.
• Running tests to gather memory, CPU, latency, and throughput metrics.
• Identifying bottlenecks and performance issues related to paging and transaction retrieval.
• Recommending improvements based on collected data.
• Integrating automated performance tests into the CI/release pipeline to prevent regressions.

Goals

• Establish baseline performance metrics for large block retrieval.
• Ensure system stability and responsiveness under high load.
• Define safe configuration parameters for paging and retrieval.
• Automate performance testing to monitor ongoing health.

Deliverables

• Documented performance test plan and tooling choices.
• Test results and analysis reports.
• List of recommended performance improvements.
• Automated performance tests integrated with CI.

Acceptance Criteria

• Performance tests replicate large-block transaction retrieval scenarios.
• Bottlenecks and issues are identified and documented.
• Recommendations for improvement are actionable and prioritized.
• CI pipeline includes automated tests for performance validation.