
Lichi contributed to the apache/doris repository by building and refining core database features, focusing on query planning, data ingestion, and materialized view workflows. Leveraging Java, SQL, and ANTLR, Lichi unified data loading paths under the Nereids engine, enhanced subquery and join handling, and expanded SQL capabilities with features like UNNEST and recursive CTEs. Their work included architectural refactors for maintainability, robust error handling, and regression-safe bug fixes, improving reliability and developer experience. By addressing edge-case correctness, optimizing planner logic, and updating documentation, Lichi delivered well-tested, production-ready solutions that reduced operational risk and enabled advanced analytics for Doris users.
February 2026 focused on strengthening the core query planner and expanding SQL capabilities, delivering increased reliability and improved UX. Key work spanned Doris' Thrift/Nereids planners and the Doris Website docs for UNNEST and recursive CTE features, translating to business value in reduced debugging time and enabling advanced analytics.
February 2026 focused on strengthening the core query planner and expanding SQL capabilities, delivering increased reliability and improved UX. Key work spanned Doris' Thrift/Nereids planners and the Doris Website docs for UNNEST and recursive CTE features, translating to business value in reduced debugging time and enabling advanced analytics.
Monthly summary for 2026-01 highlighting key features delivered, major bugs fixed, and overall impact for the apache/doris project. Focused on improving query correctness, maintainability, and SQL capabilities through architectural refactors and feature enhancements.
Monthly summary for 2026-01 highlighting key features delivered, major bugs fixed, and overall impact for the apache/doris project. Focused on improving query correctness, maintainability, and SQL capabilities through architectural refactors and feature enhancements.
December 2025: Focused on stability, observability, and correctness across Doris core components. Delivered targeted improvements in stream-load reliability, expanded query-plan optimization, and enhanced auditability, while fixing critical datatype and nullability issues in complex joins. These efforts reduce production risk, improve troubleshooting, and enable broader workload coverage.
December 2025: Focused on stability, observability, and correctness across Doris core components. Delivered targeted improvements in stream-load reliability, expanded query-plan optimization, and enhanced auditability, while fixing critical datatype and nullability issues in complex joins. These efforts reduce production risk, improve troubleshooting, and enable broader workload coverage.
In November 2025, delivered a targeted set of enhancements across Doris core and the website, focusing on streaming data correctness, date-time transformations, materialized views, and documentation. Achievements include robust sink output typing aligned with destination schemas, preserved aliasing and stable slot binding in stream-load plans, and corrected pushdown behavior. Expanded from_unixtime to accept DecimalV3Literal and added robust error handling and tests. Enhanced MV creation workflows to support where-clauses with identical base-table columns and to apply correct key-column semantics for unique tables. Website documentation updates clarify sync materialized views, column naming, and the optional WHERE clause. These changes improve data correctness, pipeline reliability, and user onboarding for MV usage.
In November 2025, delivered a targeted set of enhancements across Doris core and the website, focusing on streaming data correctness, date-time transformations, materialized views, and documentation. Achievements include robust sink output typing aligned with destination schemas, preserved aliasing and stable slot binding in stream-load plans, and corrected pushdown behavior. Expanded from_unixtime to accept DecimalV3Literal and added robust error handling and tests. Enhanced MV creation workflows to support where-clauses with identical base-table columns and to apply correct key-column semantics for unique tables. Website documentation updates clarify sync materialized views, column naming, and the optional WHERE clause. These changes improve data correctness, pipeline reliability, and user onboarding for MV usage.
October 2025 monthly summary: Key reliability and safety improvements across Doris repos. Delivered critical fixes to query planning, materialized views, and command execution consistency. These changes reduce risk of incorrect query plans, prevent unsafe MV operations, standardize command behavior, and improve user documentation. Demonstrated cross-repo collaboration and regression testing.
October 2025 monthly summary: Key reliability and safety improvements across Doris repos. Delivered critical fixes to query planning, materialized views, and command execution consistency. These changes reduce risk of incorrect query plans, prevent unsafe MV operations, standardize command behavior, and improve user documentation. Demonstrated cross-repo collaboration and regression testing.
Sept 2025: Consolidated reliability improvements in apache/doris by addressing critical bug fixes in the Nereids optimizer, bitmap load paths, and ShowTableCommand. These changes improved query correctness, data ingestion reliability, and user-facing stability, delivering measurable business value through more accurate analytics, fewer runtime errors, and stronger test coverage. Technologies demonstrated include Nereids optimization internals, bitmap expression handling, null-safety checks, and regression testing.
Sept 2025: Consolidated reliability improvements in apache/doris by addressing critical bug fixes in the Nereids optimizer, bitmap load paths, and ShowTableCommand. These changes improved query correctness, data ingestion reliability, and user-facing stability, delivering measurable business value through more accurate analytics, fewer runtime errors, and stronger test coverage. Technologies demonstrated include Nereids optimization internals, bitmap expression handling, null-safety checks, and regression testing.
Implemented reliability and naming improvements in apache/doris for August 2025. Delivered concrete fixes and feature work in the nereids module: 1) NullPointerException fix in Warm-Up Cluster parsing by adding a null check for partitionName in visitWarmUpCluster to prevent crashes during parsing; 2) Materialized View (MV) naming prefix support with conflict resolution by introducing mv_ prefix handling, affecting MV column naming, analysis, and pruning; and a test adjustment to ensure MV column names remain distinct from base tables or other MVs. Commits include 7f22f8b1bf1446960b0c74234204ba574b3e81ef, b01c5f6d47894b773e4e5dcc392857e423095ce7, and 26bd5746ded0e879f1c0f3e7b3772f6c49147081.
Implemented reliability and naming improvements in apache/doris for August 2025. Delivered concrete fixes and feature work in the nereids module: 1) NullPointerException fix in Warm-Up Cluster parsing by adding a null check for partitionName in visitWarmUpCluster to prevent crashes during parsing; 2) Materialized View (MV) naming prefix support with conflict resolution by introducing mv_ prefix handling, affecting MV column naming, analysis, and pruning; and a test adjustment to ensure MV column names remain distinct from base tables or other MVs. Commits include 7f22f8b1bf1446960b0c74234204ba574b3e81ef, b01c5f6d47894b773e4e5dcc392857e423095ce7, and 26bd5746ded0e879f1c0f3e7b3772f6c49147081.
July 2025 for apache/doris focused on stabilizing the Nereids engine and parser, hardening the join planner, and improving session-scoped visibility of temporary tables. The work delivered deeper integration, broader query capabilities, and stronger correctness guarantees, translating to higher reliability and business value for complex workloads.
July 2025 for apache/doris focused on stabilizing the Nereids engine and parser, hardening the join planner, and improving session-scoped visibility of temporary tables. The work delivered deeper integration, broader query capabilities, and stronger correctness guarantees, translating to higher reliability and business value for complex workloads.
2025-06 Monthly Summary focused on stabilizing the Doris build by delivering targeted compile-time fixes across the apache/doris repository. Addressed critical issues that caused build failures and class mismatches, enabling smoother CI and development workflows.
2025-06 Monthly Summary focused on stabilizing the Doris build by delivering targeted compile-time fixes across the apache/doris repository. Addressed critical issues that caused build failures and class mismatches, enabling smoother CI and development workflows.
For 2025-05, delivered targeted improvements and bug fixes in the apache/doris repository, with a focus on Nereids-based planning, materialized view robustness, and safer division of alias functions and subqueries. Key outcomes include: (1) Improved Materialized View creation robustness by using analyzed plans, adding privilege checks, and tightening error handling for aggregate functions and sort keys, increasing reliability and correctness of MV workloads; (2) Validation to prevent CREATE ALIAS FUNCTION from succeeding with unsupported expressions, reducing user errors and improving safety; (3) Correct pruning of assert_true in scalar subqueries after unnesting to preserve plan integrity; (4) Case-insensitive matching for partition pruning in DeleteJob to ensure correct pruning regardless of column name casing; (5) Maintained overall momentum with focused tests and code refinements across the Nereids planning and PR review processes.
For 2025-05, delivered targeted improvements and bug fixes in the apache/doris repository, with a focus on Nereids-based planning, materialized view robustness, and safer division of alias functions and subqueries. Key outcomes include: (1) Improved Materialized View creation robustness by using analyzed plans, adding privilege checks, and tightening error handling for aggregate functions and sort keys, increasing reliability and correctness of MV workloads; (2) Validation to prevent CREATE ALIAS FUNCTION from succeeding with unsupported expressions, reducing user errors and improving safety; (3) Correct pruning of assert_true in scalar subqueries after unnesting to preserve plan integrity; (4) Case-insensitive matching for partition pruning in DeleteJob to ensure correct pruning regardless of column name casing; (5) Maintained overall momentum with focused tests and code refinements across the Nereids planning and PR review processes.
Summary for 2025-04: Focused on delivering business value through enhanced data ingestion in the Nereids-based data path and improved subquery handling in the Doris query engine. Key work included unifying data loading capabilities (stream load, routine load, and broker load) under the Nereids framework, refactoring the loading pipeline for better maintainability and performance, refining routine-load parsing and label formatting (e.g., [db.]label), and enhancing error messaging and plan analysis for subqueries. These changes broaden ingestion support, reduce runtime errors, and streamline troubleshooting for customers and engineers. Impact highlights: Expanded data ingestion options in production, more robust query planning and error diagnostics, and a cleaner, more maintainable codebase that supports faster iteration and long-term scalability. Technologies and skills demonstrated: Nereids engine development, data ingestion pipeline redesign, query plan analysis, error handling improvements, code refactoring, and cross-team collaboration to deliver end-to-end features.
Summary for 2025-04: Focused on delivering business value through enhanced data ingestion in the Nereids-based data path and improved subquery handling in the Doris query engine. Key work included unifying data loading capabilities (stream load, routine load, and broker load) under the Nereids framework, refactoring the loading pipeline for better maintainability and performance, refining routine-load parsing and label formatting (e.g., [db.]label), and enhancing error messaging and plan analysis for subqueries. These changes broaden ingestion support, reduce runtime errors, and streamline troubleshooting for customers and engineers. Impact highlights: Expanded data ingestion options in production, more robust query planning and error diagnostics, and a cleaner, more maintainable codebase that supports faster iteration and long-term scalability. Technologies and skills demonstrated: Nereids engine development, data ingestion pipeline redesign, query plan analysis, error handling improvements, code refactoring, and cross-team collaboration to deliver end-to-end features.
Month 2025-03 focused on stabilizing Nereids test suite and hardening core planning and type inference in Doris. Delivered fixes that improve test reliability, correctness of query planning for edge cases, and overall system robustness. This work reduces flaky tests, ensures correct handling of empty relations, and strengthens not-null inference in edge scenarios, contributing to reliable performance and faster development cycles.
Month 2025-03 focused on stabilizing Nereids test suite and hardening core planning and type inference in Doris. Delivered fixes that improve test reliability, correctness of query planning for edge cases, and overall system robustness. This work reduces flaky tests, ensures correct handling of empty relations, and strengthens not-null inference in edge scenarios, contributing to reliable performance and faster development cycles.
February 2025 monthly summary for apache/doris focused on expanding DDL capabilities via Nereids and improving reliability through targeted bug fixes. Highlights include materialized view support, UDFs, and index/storage policy features, plus a refactor to streamline CreateTableLikeCommand integration and a regression-safe fix for correlated filter handling. These efforts collectively raise analytics performance, enable richer user-defined workflows, and reduce maintenance risk by consolidating command flows within the Nereids parser.
February 2025 monthly summary for apache/doris focused on expanding DDL capabilities via Nereids and improving reliability through targeted bug fixes. Highlights include materialized view support, UDFs, and index/storage policy features, plus a refactor to streamline CreateTableLikeCommand integration and a regression-safe fix for correlated filter handling. These efforts collectively raise analytics performance, enable richer user-defined workflows, and reduce maintenance risk by consolidating command flows within the Nereids parser.
In January 2025, focused on strengthening schema evolution reliability in the Nereids layer and stabilizing critical test paths for materialized views within the Apache Doris project. Delivered a feature enhancement to support REPLACE aggregation for value columns in unique-key tables, and stabilized materialized view tests by correcting creation syntax and using the createMV function. These efforts reduced risk in schema changes, improved CI stability, and contributed to a more robust engine for production deployments.
In January 2025, focused on strengthening schema evolution reliability in the Nereids layer and stabilizing critical test paths for materialized views within the Apache Doris project. Delivered a feature enhancement to support REPLACE aggregation for value columns in unique-key tables, and stabilized materialized view tests by correcting creation syntax and using the createMV function. These efforts reduced risk in schema changes, improved CI stability, and contributed to a more robust engine for production deployments.
December 2024 performance snapshot highlighting progress across Doris core (Nereids) improvements, SQL capability expansion, and documentation enhancements. The month delivered concrete features that broaden SQL expressiveness, improved correctness and reliability of analytics, and strengthened developer and user-facing documentation.
December 2024 performance snapshot highlighting progress across Doris core (Nereids) improvements, SQL capability expansion, and documentation enhancements. The month delivered concrete features that broaden SQL expressiveness, improved correctness and reliability of analytics, and strengthened developer and user-facing documentation.
November 2024 focused on correctness, routing flexibility, and test reliability for apache/doris. Key deliveries include: 1) Redirect interface refactor unifying redirection handling and extending Forward/NoForward under Redirect for more flexible command routing; 2) Legacy planner forwarding reset fix ensuring clean fallback behavior when isForwardedToMaster is already set; 3) LAG/LEAD nullability fix in Nereids with regression test; 4) Show Tablets LIMIT/OFFSET correctness fix with regression tests to ensure LIMIT is applied after sorting; 5) Test environment stability and isolation improvements by adjusting replication settings and naming conventions to stabilize CI. Impact: improved query result correctness, more robust routing and planning paths, and a more reliable test suite, reducing production risk. Technologies/skills demonstrated: Nereids engine, redirect interface and planner logic, regression testing, test isolation and CI reliability, code refactoring, and commit-level traceability.
November 2024 focused on correctness, routing flexibility, and test reliability for apache/doris. Key deliveries include: 1) Redirect interface refactor unifying redirection handling and extending Forward/NoForward under Redirect for more flexible command routing; 2) Legacy planner forwarding reset fix ensuring clean fallback behavior when isForwardedToMaster is already set; 3) LAG/LEAD nullability fix in Nereids with regression test; 4) Show Tablets LIMIT/OFFSET correctness fix with regression tests to ensure LIMIT is applied after sorting; 5) Test environment stability and isolation improvements by adjusting replication settings and naming conventions to stabilize CI. Impact: improved query result correctness, more robust routing and planning paths, and a more reliable test suite, reducing production risk. Technologies/skills demonstrated: Nereids engine, redirect interface and planner logic, regression testing, test isolation and CI reliability, code refactoring, and commit-level traceability.

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