
During January 2026, Shijie Yang developed foundational Python UDF, UDAF, and UDTF support for the apache/doris repository, enabling extensible SQL processing with custom Python logic. He architected a production-grade Python execution path using Arrow Flight RPC and managed multi-version Python environments with conda and venv, allowing flexible deployment. Yang integrated Snowflake-style UDAF state management and UDTF table functions into Doris’s vectorized engine, achieving 3-10x speedups in Pandas and Arrow modes. His work included robust process pool management, health checks, and auto-recovery for Python workers, with comprehensive testing and documentation, demonstrating depth in C++, Python, and software architecture.
Month: 2026-01 — Delivered foundational Python UDF/UDAF/UDTF support in Doris, enabling Python-based extensions for SQL processing. Implemented production-grade Python execution path with Arrow Flight RPC, environment management, and multi-version support. Added Snowflake-style UDAF state management and UDTF table functions, integrating with Doris vectorized engine. Achieved performance and productivity gains via vectorized evaluation and 3-10x speedups in Pandas/Arrow mode where applicable. Established robust process pool, health checks, and auto-recovery for Python workers; comprehensive tests and documentation prepared; collaboration with ByteDance references embedded.
Month: 2026-01 — Delivered foundational Python UDF/UDAF/UDTF support in Doris, enabling Python-based extensions for SQL processing. Implemented production-grade Python execution path with Arrow Flight RPC, environment management, and multi-version support. Added Snowflake-style UDAF state management and UDTF table functions, integrating with Doris vectorized engine. Achieved performance and productivity gains via vectorized evaluation and 3-10x speedups in Pandas/Arrow mode where applicable. Established robust process pool, health checks, and auto-recovery for Python workers; comprehensive tests and documentation prepared; collaboration with ByteDance references embedded.

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