February 2026 – luoyuxia/fluss achieved major enhancements to batch and streaming data ingestion and improved test stability. Implemented Spark Batch Read Startup Modes, enabling configurable startup behavior and robust offset handling for batch reads (commit 62ada456250b1d987f02255e865ecedbcee1e48e). Added Spark Streaming Read Support for SparkSQL with the latest mode, enabling micro-batch streaming reads and new offset handling logic (commit 5d7630a37b9ad27ec625e9c1e8c8c9a29ba5dfe5). Stabilized Spark Streaming tests by removing CheckLastBatch calls to ensure repeatable unit test outcomes (commit 139035e861ff74d44c429e33ea9a36bd3659b9d3). These changes collectively enhance data freshness, reliability, and operational efficiency, expanding Fluss's streaming capabilities and reducing CI flakiness.

2026-01 monthly summary for luoyuxia/fluss. Delivered three major features across Spark catalog and Lake Tables, introduced real-time streaming write capability, and completed partition metadata enhancements. Also resolved a critical display bug in Spark catalog desc with partition info. Work included comprehensive tests and improved error handling, enhancing reliability and operability for production data pipelines. Key achievements (top 4): - Spark Catalog Partition Metadata and Management: partition metadata enhancements, improved desc output to show partition info, and support for showing, adding, and dropping partitions. Includes a new catalog transformation utility and updated tests. Commits: a1b82043b17f58a525b746aa7f9ad530c94c73cd; 053b8f7460f74ddfb0bf344928f3d418ffb46b72. - Streaming Writes: introduced streaming write support for real-time ingestion alongside batch processing, with new classes/methods and tests. Commit: 344e38ff5166d8851b9fe1bde1868769928bad30. - Lake Tables DDL and Property Management: implemented lake table DDL support, property management, and integration with Spark catalog and Paimon, including tests and improved error handling. Commits: 9592d0391437de105bae0e760c103ba0c35bc014; 087a05bbb4c0ecb43b7b6e6c4cea16500721999e. - Bug fixes and reliability: Fixed Spark desc command output to include partition info to align with new partition features (#2313) and added support for partition show/add/drop (#2314).

December 2025 (apache/incubator-gluten) monthly summary focused on stabilizing Velox integration, improving observability, and reducing production blockers. Key features delivered: dynamic/unmapped Velox config support enabling runtime config changes without recompilation or republishing; shuffle metrics and timing improvements with precise bytes written/evicted tracking and readability-focused SCOPED_TIMER refactor. Major bug fix/workaround: disable Parquet metadata validation by default to unblock prod issues (temporary measure). Overall impact: faster, safer production deployments, improved telemetry for shuffle workloads, and a foundation for further performance tuning. Technologies demonstrated: Velox integration, metrics instrumentation, macro refactoring, and Parquet metadata handling.

June 2025: Delivered Velox Integration Enhancements in apache/incubator-gluten, focusing on explicit TaskContext usage and ConfigBase-based configuration. The changes consolidate configuration handling, improve dependency injection, and ensure correct per-task metric attribution, setting a solid foundation for reliability and observability. These improvements were driven by two commits: c5637f1185be265bacd0bad10953edf8cdca8551 and cd21b2ba6a7572d2ad6f0d66e432d5d35bd7e21e, with measurable impact on testability and configuration consistency. Overall, the work increases maintainability, reduces risk from global state, and enhances business value by aligning Velox integration with the project's configuration system.

April 2025 monthly summary for apache/incubator-gluten: Focused on stabilizing CI and improving benchmark reliability with concrete, traceable outcomes. Key features delivered include Benchmark Data Dump and Execution Improvements, introducing a virtual task ID, refining file naming conventions, and enabling wildcard matching for config/plan files to enhance flexibility and reproducibility of benchmarks. Major bugs fixed include CI Test Stability and Noise Reduction by lowering unit-test log verbosity to WARN and disabling unstable test suites (e.g., ArrowCsvScanSuiteV2) to reduce flakiness and CI noise. Overall impact includes faster, more reliable CI feedback, clearer benchmark traceability, and improved data quality for performance evaluations. Technologies/skills demonstrated span CI/CD optimization, logging configuration, test flakiness debugging, benchmarking data workflows, file naming conventions, wildcard matching, and task-scoped data management.

March 2025 monthly summary focusing on key accomplishments, business value, and technical excellence for the apache/incubator-gluten repository. Highlights include a performance optimization in the HLL rewrite path, along with clear signals of impact for configuration-driven features.

February 2025: Focused on stability, correctness, and feature-flag governance for the gluten project. Key work delivered a guard for Partial Project Rule so it only runs when the 'spark.gluten.sql.columnar.partial.project' feature flag is enabled, and refined validation in ColumnarPartialProjectExec by removing a redundant check. This work reduces misbehavior risk, prevents unintended activation of the rule, and strengthens production reliability for columnar processing. Technologies demonstrated include feature-flag gating, targeted code refactoring, and precise regression fixes (commit 5e5a0a25b133d3ff53a021853a39fb56f9b6665d).

December 2024: Focused on performance optimization for Spark SQL integration in Velox. Implemented a targeted refactor of Spark SQL function registrations by partitioning registrations into multiple source files by function type and renaming velox_functions_spark to velox_functions_spark_impl, achieving a 1.5x speedup in compilation time. This work improves developer iteration speed and reduces overall build times for Spark SQL workloads. No major bug fixes were reported in this period; the emphasis was on delivering measurable performance improvements and clearer code structure in the Velox-Spark integration.

November 2024 performance summary focusing on stability, reliability, and early value delivery across the gluten and Velox-based data stack. This period delivered a mix of feature work to improve runtime robustness and targeted bug fixes that reduce production risk, along with diagnostics improvements to accelerate triage and maintenance.

In 2024-10, delivered a focused feature upgrade for apache/incubator-gluten by upgrading Apache Spark to v3.5.3. The work updated installation scripts and workflow configurations to download and utilize Spark 3.5.3, ensuring compatibility with existing pipelines and enabling the latest performance improvements and bug fixes from the Spark release. The change was incorporated with commit [GLUTEN-7336][CORE] Bump Spark version to v3.5.3 (#7537) (94ecd9e25af1e036c6431b1873b72efb0a907d6d).