
Over eleven months, Li Xinghao engineered core backend and caching systems for the crossoverJie/starrocks repository, focusing on scalable cache architectures, memory management, and query optimization. He modernized the cache subsystem by separating disk and memory caches, unified initialization flows, and introduced quota-aware resource management using C++ and CMake. His work included refactoring for maintainability, implementing adaptive hash sets for high-cardinality queries, and enhancing JDBC integration for robust data type handling. By addressing concurrency, configuration, and performance bottlenecks, Li delivered stable, testable features that improved throughput and reliability, demonstrating depth in system design, cache management, and database internals.

Month: 2025-10 | Summary focused on cache subsystem modernization, stability fixes, and documentation updates for StarRocks. Work centered on refactoring the cache layer, hardening memory handling, and ensuring predictable eviction behavior to improve hit rates and SLA adherence.
Month: 2025-10 | Summary focused on cache subsystem modernization, stability fixes, and documentation updates for StarRocks. Work centered on refactoring the cache layer, hardening memory handling, and ensuring predictable eviction behavior to improve hit rates and SLA adherence.
September 2025 monthly summary for crossoverJie/starrocks: The cache engine refactor split the data cache into disk and memory components, improving modularity and maintainability. The change updates cache-related classes and configurations to reflect the separation, enabling targeted tuning for disk vs memory workloads and laying groundwork for future cache-driven features. All work tracked in commit 6fda0829d1c1d8e1d3895ea6c1f1cab1fc592b35 (#62760).
September 2025 monthly summary for crossoverJie/starrocks: The cache engine refactor split the data cache into disk and memory components, improving modularity and maintainability. The change updates cache-related classes and configurations to reflect the separation, enabling targeted tuning for disk vs memory workloads and laying groundwork for future cache-driven features. All work tracked in commit 6fda0829d1c1d8e1d3895ea6c1f1cab1fc592b35 (#62760).
In August 2025, crossoverJie/starrocks delivered targeted feature improvements, reliability fixes, and refactoring that together enhanced CI efficiency, memory accounting accuracy, and data type handling. Notable outcomes include performance-focused test infrastructure work, a major codebase reorganization for scanners, and several configuration/behavior fixes that reduce regression risk and improve correctness in production environments. The work was implemented with a clear emphasis on business value: faster feedback loops, more robust test suites, and stable memory and time data handling across JDBC paths.
In August 2025, crossoverJie/starrocks delivered targeted feature improvements, reliability fixes, and refactoring that together enhanced CI efficiency, memory accounting accuracy, and data type handling. Notable outcomes include performance-focused test infrastructure work, a major codebase reorganization for scanners, and several configuration/behavior fixes that reduce regression risk and improve correctness in production environments. The work was implemented with a clear emphasis on business value: faster feedback loops, more robust test suites, and stable memory and time data handling across JDBC paths.
June 2025 monthly summary for crossoverJie/starrocks: Delivered major architectural and reliability improvements across caching, UDF error handling, and memory management. Caching subsystem modernization unified across StarCache and LRU with page cache for external file footers, removal of legacy ObjectCache, unified LocalCacheEngine, standardized metrics, and comprehensive tests. UDF error reporting improvements introduced more general error codes and added tests for creation and Python UDFs. Memory allocator simplification removed the core arena allocator in favor of the system allocator, reducing complexity. These changes collectively improve runtime performance, stability, and developer productivity, enabling faster debugging and more reliable user-facing error messages.
June 2025 monthly summary for crossoverJie/starrocks: Delivered major architectural and reliability improvements across caching, UDF error handling, and memory management. Caching subsystem modernization unified across StarCache and LRU with page cache for external file footers, removal of legacy ObjectCache, unified LocalCacheEngine, standardized metrics, and comprehensive tests. UDF error reporting improvements introduced more general error codes and added tests for creation and Python UDFs. Memory allocator simplification removed the core arena allocator in favor of the system allocator, reducing complexity. These changes collectively improve runtime performance, stability, and developer productivity, enabling faster debugging and more reliable user-facing error messages.
May 2025 performance and reliability highlights: led the cache subsystem modernization in crossoverJie/starrocks, delivering a scalable, modular cache architecture and enabling faster data access across storage and external-table workloads. Consolidated the cache stack into a unified model (BlockCache, DataCache, LocalCache, RemoteCache), decoupled initialization from runtime startup, and introduced memory-aware quota management to improve stability under variable workloads. Delivered index and page-cache enhancements, including memory-page caching for bitmap/zonemap/ordinal indexes and updated default cache semantics to improve index data access when storage page cache is enabled. Integrated page cache usage for Hive external tables, switching from object cache to storage page cache for decompressed data and using page_cache_available to guide decisions. Standardized cache-related configuration naming and disk watermarks for clearer ops, and enhanced the PageCache interface with eviction probability and string-key support to enable future improvements for external tables. This work reduces cache misses, improves memory efficiency, and lays a foundation for more predictable performance in large-scale workloads.
May 2025 performance and reliability highlights: led the cache subsystem modernization in crossoverJie/starrocks, delivering a scalable, modular cache architecture and enabling faster data access across storage and external-table workloads. Consolidated the cache stack into a unified model (BlockCache, DataCache, LocalCache, RemoteCache), decoupled initialization from runtime startup, and introduced memory-aware quota management to improve stability under variable workloads. Delivered index and page-cache enhancements, including memory-page caching for bitmap/zonemap/ordinal indexes and updated default cache semantics to improve index data access when storage page cache is enabled. Integrated page cache usage for Hive external tables, switching from object cache to storage page cache for decompressed data and using page_cache_available to guide decisions. Standardized cache-related configuration naming and disk watermarks for clearer ops, and enhanced the PageCache interface with eviction probability and string-key support to enable future improvements for external tables. This work reduces cache misses, improves memory efficiency, and lays a foundation for more predictable performance in large-scale workloads.
April 2025 – CrossoverJie/starrocks focused on reliability, performance, and maintainability through targeted bug fixes, refactors, and benchmarking. Key deliveries included a mix of critical bug fixes, API simplifications to reduce long-term maintenance costs, and a new benchmarking suite to quantify object caching performance under varying loads. The month also delivered improvements to disk-cached data management to enhance stability and configurability, directly supporting stable, scalable data workloads. Key features delivered and notable work: - Object Caching Benchmark Suite with single-threaded and multi-threaded scenarios, including CMake integration, to enable consistent performance evaluation across deployments. - Internal code refactors and API simplifications to reduce complexity and improve maintainability (removal of mor_reader_mode, DiskSpaceMonitor refactor, object cache interface simplifications, enhanced parse_mem_str error handling, and centralization of BlockCache initialization). - Continued enhancement of bitmap and window-function capabilities (Bitmap Union Window Function support). - Documentation improvements for Window Function Chinese translations to improve readability. Major bugs fixed: - Iceberg runtime filter pushdown bug for equality deletes (commit b78120305345603abf2dac53fb571b4504132be9). - StarCacheModule insertion size parameter bug (commit 46fc25deb1e21340d831352e1b8a7df495f77f43). - Disk Data Cache expansion issue (division/type casting fix) (commit 73970be6f733226c97226b3641b22d2b9d60a833). - Datacache disk size limit and init logic improvements (commit b0af4cd008c267550714d8c4bed2bfe2f17417a6). - Config alias display bug fix (commit 56ad6c7d8c47ef0e9ff2ea76d21f554658d6453b). Overall impact and accomplishments: - Improved query performance and correctness through targeted pushdown fixes and correct data-cache sizing behavior. - Increased maintainability and faster onboarding through API simplifications and clearer module boundaries. - Established a repeatable performance evaluation baseline via the new object caching benchmark suite, enabling data-driven optimization. Technologies/skills demonstrated: - C++ and system-level engineering for performance-sensitive components (e.g., Iceberg filters, object cache, DiskCache). - Benchmarking and test-driven improvements (benchmark suite, regression tests). - API design and refactor discipline, error handling improvements, and configuration management.
April 2025 – CrossoverJie/starrocks focused on reliability, performance, and maintainability through targeted bug fixes, refactors, and benchmarking. Key deliveries included a mix of critical bug fixes, API simplifications to reduce long-term maintenance costs, and a new benchmarking suite to quantify object caching performance under varying loads. The month also delivered improvements to disk-cached data management to enhance stability and configurability, directly supporting stable, scalable data workloads. Key features delivered and notable work: - Object Caching Benchmark Suite with single-threaded and multi-threaded scenarios, including CMake integration, to enable consistent performance evaluation across deployments. - Internal code refactors and API simplifications to reduce complexity and improve maintainability (removal of mor_reader_mode, DiskSpaceMonitor refactor, object cache interface simplifications, enhanced parse_mem_str error handling, and centralization of BlockCache initialization). - Continued enhancement of bitmap and window-function capabilities (Bitmap Union Window Function support). - Documentation improvements for Window Function Chinese translations to improve readability. Major bugs fixed: - Iceberg runtime filter pushdown bug for equality deletes (commit b78120305345603abf2dac53fb571b4504132be9). - StarCacheModule insertion size parameter bug (commit 46fc25deb1e21340d831352e1b8a7df495f77f43). - Disk Data Cache expansion issue (division/type casting fix) (commit 73970be6f733226c97226b3641b22d2b9d60a833). - Datacache disk size limit and init logic improvements (commit b0af4cd008c267550714d8c4bed2bfe2f17417a6). - Config alias display bug fix (commit 56ad6c7d8c47ef0e9ff2ea76d21f554658d6453b). Overall impact and accomplishments: - Improved query performance and correctness through targeted pushdown fixes and correct data-cache sizing behavior. - Increased maintainability and faster onboarding through API simplifications and clearer module boundaries. - Established a repeatable performance evaluation baseline via the new object caching benchmark suite, enabling data-driven optimization. Technologies/skills demonstrated: - C++ and system-level engineering for performance-sensitive components (e.g., Iceberg filters, object cache, DiskCache). - Benchmarking and test-driven improvements (benchmark suite, regression tests). - API design and refactor discipline, error handling improvements, and configuration management.
March 2025 performance summary for crossoverJie/starrocks focused on stability, performance, and cache architecture. Delivered a major cache subsystem overhaul with centralized CacheEnv lifecycle and integrated StarCache for object caching, improving initialization consistency and runtime performance across data and object caches. Introduced an adaptive hash set optimization for multi_count_distinct to better handle high-cardinality strings, with configurable memory usage and improved serialization logic. Resolved critical startup and data access issues: added a null check for block_cache during startup to prevent datacache_mem_tracker crashes, and fixed Iceberg connector scans to properly handle null timestamptz partitions with tests across null and non-null cases and multiple time zones. These changes reduce startup instability, improve query performance on high-cardinality workloads, and enhance connector reliability.
March 2025 performance summary for crossoverJie/starrocks focused on stability, performance, and cache architecture. Delivered a major cache subsystem overhaul with centralized CacheEnv lifecycle and integrated StarCache for object caching, improving initialization consistency and runtime performance across data and object caches. Introduced an adaptive hash set optimization for multi_count_distinct to better handle high-cardinality strings, with configurable memory usage and improved serialization logic. Resolved critical startup and data access issues: added a null check for block_cache during startup to prevent datacache_mem_tracker crashes, and fixed Iceberg connector scans to properly handle null timestamptz partitions with tests across null and non-null cases and multiple time zones. These changes reduce startup instability, improve query performance on high-cardinality workloads, and enhance connector reliability.
February 2025 focused on stabilizing core systems while delivering memory subsystem enhancements and configuration improvements. Key business/value outcomes include improved memory accounting and observability for capacity planning, standardized data type handling to reduce JDBC integration issues, and build/maintenance stability that lowers release risk and accelerates CI feedback. The efforts also simplified the codebase and clarified configuration defaults to align with typical workloads across deployments.
February 2025 focused on stabilizing core systems while delivering memory subsystem enhancements and configuration improvements. Key business/value outcomes include improved memory accounting and observability for capacity planning, standardized data type handling to reduce JDBC integration issues, and build/maintenance stability that lowers release risk and accelerates CI feedback. The efforts also simplified the codebase and clarified configuration defaults to align with typical workloads across deployments.
Month 2025-01: Developer focus on performance, reliability, and correctness in the crossoverJie/starrocks repository. Implemented significant runtime filter enhancements with IO integration, introduced an exception-safe interface for aggregate functions, and resolved critical bugs affecting predicate NULL handling and key-type enum usage. Delivered measurable improvements in pruning, batch processing resilience, and data correctness across the codebase.
Month 2025-01: Developer focus on performance, reliability, and correctness in the crossoverJie/starrocks repository. Implemented significant runtime filter enhancements with IO integration, introduced an exception-safe interface for aggregate functions, and resolved critical bugs affecting predicate NULL handling and key-type enum usage. Delivered measurable improvements in pruning, batch processing resilience, and data correctness across the codebase.
December 2024 monthly summary for pinterest/starrocks and crossoverJie/starrocks. Focused on delivering null-aware runtime filtering, predicate composition, and accurate statistics handling to improve query pruning, analytics reliability, and Iceberg v2 support. Key outcomes include faster queries through enhanced pruning, more accurate statistics with nulls, and a maintainable codebase via targeted refactors and tests across core runtime, storage, and Parquet handling.
December 2024 monthly summary for pinterest/starrocks and crossoverJie/starrocks. Focused on delivering null-aware runtime filtering, predicate composition, and accurate statistics handling to improve query pruning, analytics reliability, and Iceberg v2 support. Key outcomes include faster queries through enhanced pruning, more accurate statistics with nulls, and a maintainable codebase via targeted refactors and tests across core runtime, storage, and Parquet handling.
Month: 2024-11 — Key focus: improving schema-change performance and reliability for the pinterest/starrocks repo. Delivered a targeted optimization to the schema change path, reducing lock time by optimizing column compatibility checks and the lookup of columns in the original schema. This enhances throughput for schema evolutions, particularly on wide tables, and shortens maintenance windows in production.
Month: 2024-11 — Key focus: improving schema-change performance and reliability for the pinterest/starrocks repo. Delivered a targeted optimization to the schema change path, reducing lock time by optimizing column compatibility checks and the lookup of columns in the original schema. This enhances throughput for schema evolutions, particularly on wide tables, and shortens maintenance windows in production.
Overview of all repositories you've contributed to across your timeline