
Worked on the timeplus-io/proton repository to deliver shard-pruning optimizations for IN-subqueries and literal tuple-IN expressions, focusing on early subquery materialization to reduce unnecessary shard reads and improve query latency on large datasets. The approach included introducing a new control setting for shard pruning, robust handling of NULL values, and safe fallback mechanisms for streaming and zero-shard scenarios. Expanded SQL and gtest coverage ensured reliability, while internal refactoring improved maintainability. Leveraged C++ for development, with an emphasis on database optimization and query performance tuning, resulting in faster, more predictable queries and enhanced resource efficiency for complex data workloads.
May 2026 - Proton: Delivered major shard-pruning optimizations for IN-subqueries and literal tuple-IN expressions, enabling early subquery materialization, reducing shard reads, and improving overall query latency on large datasets. Added new control setting (optimize_skip_unused_shards_with_subqueries) and on-demand subquery materialization to ensure pruning only occurs when safe. Hardened NULL handling to avoid incorrect pruning; extended support for empty-IN in streaming paths with safe fallback to all shards. Expanded testing with SQL regressions and gtest coverage; deduplicated literal-tuple RHS handling and improved explain coverage. Refactored internal architecture for detail namespace and helpers to improve maintainability. Result: faster, more predictable queries with lower resource usage and improved streaming stability.
May 2026 - Proton: Delivered major shard-pruning optimizations for IN-subqueries and literal tuple-IN expressions, enabling early subquery materialization, reducing shard reads, and improving overall query latency on large datasets. Added new control setting (optimize_skip_unused_shards_with_subqueries) and on-demand subquery materialization to ensure pruning only occurs when safe. Hardened NULL handling to avoid incorrect pruning; extended support for empty-IN in streaming paths with safe fallback to all shards. Expanded testing with SQL regressions and gtest coverage; deduplicated literal-tuple RHS handling and improved explain coverage. Refactored internal architecture for detail namespace and helpers to improve maintainability. Result: faster, more predictable queries with lower resource usage and improved streaming stability.

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