September 2025 — CrossoverJie/starrocks delivered critical DCG-based partial update/upsert enhancements and a MaterializedViews startup debounce fix, strengthening data correctness and startup reliability. The work focused on enabling DCG for COLUMN_UPSERT_MODE, refining insert mode logic, and ensuring DCG data loads correctly during mode switches, alongside preventing MaterializedViews from reloading multiple times at startup.

December 2024 monthly summary focusing on performance optimization and quality improvements across two repositories. Key efforts include fixing KuduPredicate pushdown for CastOperator (improving query efficiency on KuduConnector) and clarifying user-facing messages in Gravitino Trino Connector. Delivered changes strengthen connector reliability and developer experience with minimal user impact.

Month: 2024-10 | Repository: pinterest/starrocks Overview: - This month concentrated on reliability and correctness of timestamp data handling in Kudu reads. No new features deployed; primary focus was stabilizing timestamp interpretation to support accurate analytics. Key features delivered: - None this month (feature work paused in favor of bug fixes and data correctness). Major bugs fixed: - Kudu Timestamp Data Interpretation Bug Fix: corrected conversion of milliseconds to seconds when constructing LocalDateTime from Kudu timestamp data; ensured UTC timezone is used for accurate timestamp interpretation; improves reliability of timestamp data handling when reading from Kudu. - Commit: dbb48efb71a2b2d5984f0f1540bb0d1af14aac23 - Reference: [BugFix] fix kudu timestamp data reading issue (#52335) Overall impact and accomplishments: - Significantly improved data correctness and consistency for time-based data reads from Kudu, reducing potential misinterpretation of timestamps in downstream analytics. - Enhanced reliability of data pipelines and reporting that rely on accurate timestamp interpretation. Technologies/skills demonstrated: - Kudu timestamp handling, LocalDateTime construction, UTC timezone enforcement, precise time conversion between milliseconds and seconds, traceability with commit references, and bug-fix lifecycle management. Business value: - By ensuring timestamps are read and interpreted correctly, downstream BI, reporting, and alerting become more trustworthy, reducing support overhead and enabling faster, data-driven decision making.