Test Result Storage and Querying Questions

Design storage and query systems for test results and historical test execution data to support trend analysis, flakiness detection, debugging, and reporting. Cover data model choices and trade offs between normalized and denormalized schemas, selection of storage backends such as relational databases document stores time series stores or object storage, ingestion patterns including batch and streaming, partitioning and indexing strategies for efficient queries, query patterns for common use cases such as per test history per build rollups and flaky test detection, retention and archival policies, compression and cost trade offs, linking results to builds commits and test metadata, application programming interface design for result retrieval, data privacy and access control, monitoring and alerting on ingestion and query pipelines, and considerations for scalability latency and maintainability.