
Wusi engineered advanced materialized view (MV) optimization and reliability features for the Doris project, primarily in the Jibing-Li/incubator-doris repository. He enhanced MV rewrite logic to support complex SQL constructs, such as grouping sets, window functions, and partitioned or nested views, while improving query planning and performance. Using Java and SQL, Wusi refactored caching, partition handling, and cost-based optimization to ensure deterministic, high-throughput query rewriting. He also stabilized regression tests and expanded documentation, clarifying MV behavior and onboarding processes. The work demonstrated deep understanding of database internals, resulting in more predictable analytics and reduced operational risk for large-scale workloads.
February 2026 monthly summary for the apache/doris-website repository focusing on Ranger Plugin Documentation Enhancement. Delivered a refined Ranger plugin usage guide with clearer user creation steps, corrected resource links, and cautions regarding matching plugin file versions to ensure proper functionality. The work included localization to Chinese, alignment with development version, and updates to the docs checklist to improve overall documentation quality and onboarding efficiency for users and support teams.
February 2026 monthly summary for the apache/doris-website repository focusing on Ranger Plugin Documentation Enhancement. Delivered a refined Ranger plugin usage guide with clearer user creation steps, corrected resource links, and cautions regarding matching plugin file versions to ensure proper functionality. The work included localization to Chinese, alignment with development version, and updates to the docs checklist to improve overall documentation quality and onboarding efficiency for users and support teams.
Month: 2026-01 This period focused on delivering high-impact features for query performance, cache integrity, and external table reliability, supported by targeted testing to ensure long-term stability. The work contributes to faster, more predictable analytics on large workloads and reduces operational risk through robust validation and clearer performance characteristics.
Month: 2026-01 This period focused on delivering high-impact features for query performance, cache integrity, and external table reliability, supported by targeted testing to ensure long-term stability. The work contributes to faster, more predictable analytics on large workloads and reduces operational risk through robust validation and clearer performance characteristics.
Month: 2025-12 — Consolidated improvements across Doris MV rewrite and planning, stabilizing complex rewrite scenarios (TopN/Limit with CTE and grouping sets), fixing rewrite failure modes, and advancing deterministic MV planning with robust statistics handling. Also enhanced documentation and test stability for Nereids and MV-related components. These changes deliver tangible business value: more reliable query performance with MV, faster troubleshooting, and stronger guarantees around complex analytical workloads.
Month: 2025-12 — Consolidated improvements across Doris MV rewrite and planning, stabilizing complex rewrite scenarios (TopN/Limit with CTE and grouping sets), fixing rewrite failure modes, and advancing deterministic MV planning with robust statistics handling. Also enhanced documentation and test stability for Nereids and MV-related components. These changes deliver tangible business value: more reliable query performance with MV, faster troubleshooting, and stronger guarantees around complex analytical workloads.
Monthly summary for 2025-11 highlighting business value and technical achievements across Doris core MV work and related documentation. Delivered a broad set of materialized view enhancements and stability improvements that directly improve query performance, reliability, and maintainability. Key features include advanced MV rewrite capabilities (preserving filters with GROUPING SETS and GROUP BY, window function rewrites, handling of partitioned and nested MVs, improved join elimination, and LIMIT/TOP N rewrites), enabling faster, more predictable rewrites of complex workloads. Major fixes addressed critical rewrite correctness and edge cases (MV rewrite with grouping sets and filters, not-in-aggregate output after uniform elimination, nested MV rewrite for partitioned bottom MV, and join/elimination interaction with grouping keys). Stability and test coverage were strengthened via improvements to MTMV refresh with alias, partition trace in partitioned MVs, date_trunc support, and regression test stabilization; regression/test reliability is now higher, reducing future toil. Documentation updates clarify 3.1 external table rewrite, and LIMIT/TOP-N rewrite capabilities, improving developer onboarding and adoption. Technologies/skills demonstrated include MV rewrite engine enhancements, Nereids planner interactions, join elimination strategies, regression testing automation, and cross-team collaboration with Doris core and website docs.
Monthly summary for 2025-11 highlighting business value and technical achievements across Doris core MV work and related documentation. Delivered a broad set of materialized view enhancements and stability improvements that directly improve query performance, reliability, and maintainability. Key features include advanced MV rewrite capabilities (preserving filters with GROUPING SETS and GROUP BY, window function rewrites, handling of partitioned and nested MVs, improved join elimination, and LIMIT/TOP N rewrites), enabling faster, more predictable rewrites of complex workloads. Major fixes addressed critical rewrite correctness and edge cases (MV rewrite with grouping sets and filters, not-in-aggregate output after uniform elimination, nested MV rewrite for partitioned bottom MV, and join/elimination interaction with grouping keys). Stability and test coverage were strengthened via improvements to MTMV refresh with alias, partition trace in partitioned MVs, date_trunc support, and regression test stabilization; regression/test reliability is now higher, reducing future toil. Documentation updates clarify 3.1 external table rewrite, and LIMIT/TOP-N rewrite capabilities, improving developer onboarding and adoption. Technologies/skills demonstrated include MV rewrite engine enhancements, Nereids planner interactions, join elimination strategies, regression testing automation, and cross-team collaboration with Doris core and website docs.
September 2025 monthly summary for Jibing-Li/incubator-doris focused on reliability, correctness, and observability improvements in the Nereids and Materialized View components. Key work delivered includes targeted fixes to ensure join reordering does not alter nullability, reinforced MV rewriting for aggregates/group-by and sync MV scenarios, and enhanced profiling metrics for planning accuracy. These efforts reduce runtime errors, stabilize MV-based optimizations, and provide clearer performance visibility for ongoing optimization.
September 2025 monthly summary for Jibing-Li/incubator-doris focused on reliability, correctness, and observability improvements in the Nereids and Materialized View components. Key work delivered includes targeted fixes to ensure join reordering does not alter nullability, reinforced MV rewriting for aggregates/group-by and sync MV scenarios, and enhanced profiling metrics for planning accuracy. These efforts reduce runtime errors, stabilize MV-based optimizations, and provide clearer performance visibility for ongoing optimization.
Month 2025-08 focused on stabilizing materialized view workflows and TopN query handling across Doris repositories, with improvements in data distribution, test stability, and cross-repo documentation. Key work reduced flaky behavior, improved reliability of MV-related operations, and strengthened overall query accuracy for analytics workloads.
Month 2025-08 focused on stabilizing materialized view workflows and TopN query handling across Doris repositories, with improvements in data distribution, test stability, and cross-repo documentation. Key work reduced flaky behavior, improved reliability of MV-related operations, and strengthened overall query accuracy for analytics workloads.
July 2025 milestone focused on reliability, observability, and maintainability of Materialized Views (MVs) in Doris, with targeted regression-test hardening, explain-output enhancements, and robust test coverage. Delivered clear failures and rewrite outcomes for MV rewrites, improved CBO-related test stability for TTL partition compensation, and fixed an edge case around aggregate table expression IDs. Also updated user documentation to clarify MV behavior and rewrite support for data lakes and partitioned MVs.
July 2025 milestone focused on reliability, observability, and maintainability of Materialized Views (MVs) in Doris, with targeted regression-test hardening, explain-output enhancements, and robust test coverage. Delivered clear failures and rewrite outcomes for MV rewrites, improved CBO-related test stability for TTL partition compensation, and fixed an edge case around aggregate table expression IDs. Also updated user documentation to clarify MV behavior and rewrite support for data lakes and partitioned MVs.
June 2025 monthly summary for Jibing-Li/incubator-doris: Delivered targeted fixes to materialized view partition handling and improved MV rewrite planning through enhanced partition information collection. Stabilized MV selection in regression tests by addressing CBO flakiness and updating test outputs/configurations. These changes improve correctness, reliability, and planning performance for MV-enabled workloads.
June 2025 monthly summary for Jibing-Li/incubator-doris: Delivered targeted fixes to materialized view partition handling and improved MV rewrite planning through enhanced partition information collection. Stabilized MV selection in regression tests by addressing CBO flakiness and updating test outputs/configurations. These changes improve correctness, reliability, and planning performance for MV-enabled workloads.
Month: 2025-05 — Key focus on Materialized View (MTMV) rewrite performance in the Jibing-Li/incubator-doris repository. Delivered MTMV Rewrite Performance Improvements including partition caching optimization and a time threshold to govern query rewriting, plus a refactor of the rewriting framework to remove lambda expressions and redundant variables, reducing overhead and improving MTMV utilization in query processing. These changes enhance query throughput and responsiveness for materialized-view-enabled workloads.
Month: 2025-05 — Key focus on Materialized View (MTMV) rewrite performance in the Jibing-Li/incubator-doris repository. Delivered MTMV Rewrite Performance Improvements including partition caching optimization and a time threshold to govern query rewriting, plus a refactor of the rewriting framework to remove lambda expressions and redundant variables, reducing overhead and improving MTMV utilization in query processing. These changes enhance query throughput and responsiveness for materialized-view-enabled workloads.
April 2025 monthly summary for Jibing-Li/incubator-doris. Focused on stabilizing and accelerating Materialized View (MV) workflows through targeted fixes in the MV rewriting engine and expanded test coverage. The work delivered in April enhances reliability, performance, and confidence in MV-related features, particularly for workloads involving external tables and complex dependencies. Overall, completed key MV stability and performance improvements, expanded MV testing, and reinforced regression protection, delivering measurable business value in query performance and application stability.
April 2025 monthly summary for Jibing-Li/incubator-doris. Focused on stabilizing and accelerating Materialized View (MV) workflows through targeted fixes in the MV rewriting engine and expanded test coverage. The work delivered in April enhances reliability, performance, and confidence in MV-related features, particularly for workloads involving external tables and complex dependencies. Overall, completed key MV stability and performance improvements, expanded MV testing, and reinforced regression protection, delivering measurable business value in query performance and application stability.
2025-03 Monthly Summary for Jibing-Li/incubator-doris: Focused MTMV rewrite improvements, debugging/test stabilization, and critical bug fixes that enhance materialized view reliability, performance, and business value.
2025-03 Monthly Summary for Jibing-Li/incubator-doris: Focused MTMV rewrite improvements, debugging/test stabilization, and critical bug fixes that enhance materialized view reliability, performance, and business value.
February 2025: Completed targeted materialized view (MV) work across two repos, delivering user-focused documentation improvements and strengthening MV rewrite reliability in cross-database contexts. The changes improve onboarding and usability for MTMV, stabilize MV-related behavior, and reduce support overhead by clarifying expectations around JDBC tables, aggregate query rewriting, and MV lifecycle operations.
February 2025: Completed targeted materialized view (MV) work across two repos, delivering user-focused documentation improvements and strengthening MV rewrite reliability in cross-database contexts. The changes improve onboarding and usability for MTMV, stabilize MV-related behavior, and reduce support overhead by clarifying expectations around JDBC tables, aggregate query rewriting, and MV lifecycle operations.
January 2025 focused on delivering and stabilizing MV-related capabilities, with emphasis on comprehensive documentation, improved rewrite mechanics, and heightened test reliability to reduce risk in production deployments.
January 2025 focused on delivering and stabilizing MV-related capabilities, with emphasis on comprehensive documentation, improved rewrite mechanics, and heightened test reliability to reduce risk in production deployments.
December 2024: Delivered substantive materialized view enhancements across Doris, improving correctness, performance, and developer documentation. Implemented a targeted suite of MV rewrite fixes to address correctness issues with table operators, filters, schema evolution, CTE handling, and nested MV edge cases; introduced plan-generation optimizations and cache-first MV creation/refresh to reduce overhead; expanded MTMV documentation to clarify creation, usage, refresh, partitioning, and maintenance. These changes enhance data reliability, speed up MV lifecycles, and reduce support load, reflecting strong business value and technical execution.
December 2024: Delivered substantive materialized view enhancements across Doris, improving correctness, performance, and developer documentation. Implemented a targeted suite of MV rewrite fixes to address correctness issues with table operators, filters, schema evolution, CTE handling, and nested MV edge cases; introduced plan-generation optimizations and cache-first MV creation/refresh to reduce overhead; expanded MTMV documentation to clarify creation, usage, refresh, partitioning, and maintenance. These changes enhance data reliability, speed up MV lifecycles, and reduce support load, reflecting strong business value and technical execution.
Month 2024-11 focused on Materialized View (MV) rewrite correctness, reliability, and stability in the Doris project. Delivered critical fixes to MV rewrite logic, improved regression test alignment, and implemented enhancements to support AnyValue rewrites with statistics injection to stabilize results. These changes increase accuracy of MV rewrites, reduce deployment risk, and improve end-user query reliability. Key outcomes: - Correctness fixes for MV rewrites: partition tracking with select * on partitioned tables, proper inclusion of related tables in hyper-graph rewrites, and MV read-lock timing during rewrite; regression-test outputs adjusted to reflect data changes. - MV Rewrite Enhancements: added AnyValue support for rollup rewrites and injected statistics to ensure stable rewrite results, with corresponding regression test validations. - Regression tests and data validation: updated tests to cover new behaviors and stability guarantees; tests reinforced by statistics injection to reduce flakiness. - Business value and impact: higher confidence in MV-generated results, fewer production incidents related to MV rewrites, faster iteration for optimization queries. Technologies/skills demonstrated: MV rewrite engine understanding, regression testing discipline, data-driven stability improvements, and commit-level code changes for accuracy and reliability. Key commits: - 89ef50ae91cc9887f39c9e18d5e0ed48927e757b: fix partition track column fail when 'select *' used in related partition side - 182af8ed77fd7707bda25a9d8b79c56478f87230: fix generate hyper graph wrongly when has filter which can not push down - 7c45912e3cf9bf7bd908d0c2ba634dff4e94d33c: fix regression test out text is wrong - 7aec6ffb6aef6b41f345cfeaf5fbdd78d19bc5b9: fix get mv read lock too late when rewritten by materialized view - b978788833dbd3b8507bd48f15dccf05e11aa1ad: opt: support any_value aggregate function rollup rewrite when exists aggregate materialized view - 9daa3b77dc895d879e5ab62ff91b58d8473e6ffb: test: inject statistic when mv rewrite regression test to make sure rewrite result stable
Month 2024-11 focused on Materialized View (MV) rewrite correctness, reliability, and stability in the Doris project. Delivered critical fixes to MV rewrite logic, improved regression test alignment, and implemented enhancements to support AnyValue rewrites with statistics injection to stabilize results. These changes increase accuracy of MV rewrites, reduce deployment risk, and improve end-user query reliability. Key outcomes: - Correctness fixes for MV rewrites: partition tracking with select * on partitioned tables, proper inclusion of related tables in hyper-graph rewrites, and MV read-lock timing during rewrite; regression-test outputs adjusted to reflect data changes. - MV Rewrite Enhancements: added AnyValue support for rollup rewrites and injected statistics to ensure stable rewrite results, with corresponding regression test validations. - Regression tests and data validation: updated tests to cover new behaviors and stability guarantees; tests reinforced by statistics injection to reduce flakiness. - Business value and impact: higher confidence in MV-generated results, fewer production incidents related to MV rewrites, faster iteration for optimization queries. Technologies/skills demonstrated: MV rewrite engine understanding, regression testing discipline, data-driven stability improvements, and commit-level code changes for accuracy and reliability. Key commits: - 89ef50ae91cc9887f39c9e18d5e0ed48927e757b: fix partition track column fail when 'select *' used in related partition side - 182af8ed77fd7707bda25a9d8b79c56478f87230: fix generate hyper graph wrongly when has filter which can not push down - 7c45912e3cf9bf7bd908d0c2ba634dff4e94d33c: fix regression test out text is wrong - 7aec6ffb6aef6b41f345cfeaf5fbdd78d19bc5b9: fix get mv read lock too late when rewritten by materialized view - b978788833dbd3b8507bd48f15dccf05e11aa1ad: opt: support any_value aggregate function rollup rewrite when exists aggregate materialized view - 9daa3b77dc895d879e5ab62ff91b58d8473e6ffb: test: inject statistic when mv rewrite regression test to make sure rewrite result stable

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