May 2026 monthly summary for StarRocks/starrocks focused on delivering targeted Iceberg connector improvements and stability. Delivered Partial AND predicate pushdown optimization, enabling selective predicate pushdown and preserving correctness, reducing data scanned for Iceberg-backed queries. No major bugs fixed this period; ongoing stability and performance enhancements across the Iceberg integration. Overall impact includes faster query performance, improved resource efficiency, and better BI scalability. Technologies/skills demonstrated include Iceberg connector enhancements, query planning optimization, and adherence to code review and PR processes.

Month: 2026-04 Key achievements and business impact: - amoro: Catalog Reliability and Snapshot Handling: Fixed expireFiles to capture the current snapshot after delete and improved catalog initialization error handling to prevent crashes and enable recovery. Commits: 05ff059d...; ec2a448b... - amoro: MySQL Data Truncation Bug: Fix finishTime initialization and Long2TsConverter handling of negative values to prevent TIMESTAMP truncation. Commit: d6b2cda8... - amoro: Data Layer Performance Optimizations: Implemented lazy caching for dataTasks() in NodeFileScanTask to avoid repeated list creation; added tests for caching behavior. Commit: dcab5b57... - amoro: Iceberg Dependency Upgrade to 1.7.2 and API migrations: migration tests added. Commit: 75916805... - spark: Spark-Connect appProtocol: Set appProtocol to 'grpc' on the spark-connect service port to enable proper gRPC handling in service meshes. Commit: 99abe2c1... Major bugs fixed: - amoro: Test Stability and Cleanup Improvements: Hardening test cleanup to reduce flaky failures across test suites. Commits: 615c7e8c...; 67feed8c... - amoro: Metrics Collection Enhancement for Monitoring: Collect table-summary metrics even when self-optimizing is disabled. Commit: b7f7de31... Overall impact and accomplishments: - Improved reliability, data integrity, and monitoring coverage across amoro and spark. Performance gains from caching reduce per-query overhead; upgrade prepared the stack for Iceberg 1.7.2 with forward-compatibility tests. Spark Connect now better supports gRPC in service meshes, enabling L7 load balancing and healthier deployments. Technologies/skills demonstrated: - Java/Scala codebase contributions, Iceberg API migrations, performance optimization via lazy caching patterns, robust error handling and recovery, test resilience improvements, and Kubernetes/service-mesh readiness for gRPC traffic.

March 2026 monthly summary focusing on core feature delivery, bug fixes, and measurable business impact across apache/amoro and StarRocks/starrocks. Highlights include enhancements to observability via Prometheus metrics filtering, resilience improvements in AMS recovery, correctness fixes for PartitionSpec evolution, expansion of Flink version compatibility, and data processing optimizations for Iceberg workloads.