
Yang Wenbo contributed to the crossoverJie/starrocks and pinterest/starrocks repositories by engineering robust data platform features and reliability improvements. He developed and optimized Iceberg and Delta Lake integrations, enabling secure OAuth2/JWT authentication, advanced partitioning, and efficient metadata management. Using Java, C++, and SQL, Yang enhanced catalog management, implemented position-delete support, and improved cache strategies for large-scale analytics. His work included strengthening access control, refining error handling, and expanding cloud compatibility across AWS, Azure, and GCP. Through careful code refactoring, comprehensive testing, and detailed documentation, Yang delivered scalable, maintainable solutions that improved data correctness, operational security, and analytics performance.
February 2026 focused on delivering Iceberg improvements, governance features, and reliability enhancements across the crossoverJie/starrocks and StarRocks/starrocks repositories. Key outcomes include accelerated data removal with Iceberg delete enhancements, flexible Iceberg table creation with partition transforms, enhanced auditability for Iceberg operations, and performance-oriented cache management improvements for Delta Lake. A targeted set of reliability improvements also strengthened test stability for Iceberg metadata handling.
February 2026 focused on delivering Iceberg improvements, governance features, and reliability enhancements across the crossoverJie/starrocks and StarRocks/starrocks repositories. Key outcomes include accelerated data removal with Iceberg delete enhancements, flexible Iceberg table creation with partition transforms, enhanced auditability for Iceberg operations, and performance-oriented cache management improvements for Delta Lake. A targeted set of reliability improvements also strengthened test stability for Iceberg metadata handling.
January 2026 (2026-01) saw substantive Iceberg and Delta Lake work in pinterest/starrocks, delivering measurable business value through reliability improvements, performance adjustments, and broader platform compatibility. Key features include Iceberg Delete support (sink writes position delete files, commit operation) with unit tests, and DeltaLakeCacheSizeEstimator to estimate delta lake metadata cache. Critical reliability fixes addressed data loss in IcebergMetadata cache after async refresh, and cross-database improvements expanded READ/ALTER support for HudiTable/JDBCTable, plus SQL Server/Oracle identifier handling and JDBC wrapping refinements. Iceberg Core Enhancements introduced memory-optimized delete sink writing, stronger error handling, and file format validation, complemented by comprehensive documentation updates for Iceberg DDL, procedures, and usage. Operationally, these changes reduce production risk, improve data pipeline reliability, and extend interoperability with SQL Server, Oracle, and JDBC-based clients.
January 2026 (2026-01) saw substantive Iceberg and Delta Lake work in pinterest/starrocks, delivering measurable business value through reliability improvements, performance adjustments, and broader platform compatibility. Key features include Iceberg Delete support (sink writes position delete files, commit operation) with unit tests, and DeltaLakeCacheSizeEstimator to estimate delta lake metadata cache. Critical reliability fixes addressed data loss in IcebergMetadata cache after async refresh, and cross-database improvements expanded READ/ALTER support for HudiTable/JDBCTable, plus SQL Server/Oracle identifier handling and JDBC wrapping refinements. Iceberg Core Enhancements introduced memory-optimized delete sink writing, stronger error handling, and file format validation, complemented by comprehensive documentation updates for Iceberg DDL, procedures, and usage. Operationally, these changes reduce production risk, improve data pipeline reliability, and extend interoperability with SQL Server, Oracle, and JDBC-based clients.
December 2025 monthly summary: Focused on strengthening Iceberg integration and data reliability in Pinterest StarRocks. Delivered end-to-end Iceberg DELETE support with a new IcebergDeleteSink and updated planning/analyzer logic to enable position-delete execution with partition-aware validation. Enabled Iceberg REST Catalog view endpoints via a new configuration toggle for safer and more controllable view-related operations. Extended Iceberg table capabilities to read file_path and row position using ParquetPosReader, enabling precise data lineage and auditing. Improved Delta Lake refresh cache reliability to ensure the latest snapshots are used during table refresh. Refactored cloud configuration retrieval in IcebergScanNode and IcebergTableSink to improve readability and reuse. Added test stability improvements and statistics refinements to enhance reliability and data accuracy. Overall, these changes strengthen data correctness, governance, and maintainability, delivering measurable business value in data operations and system reliability.
December 2025 monthly summary: Focused on strengthening Iceberg integration and data reliability in Pinterest StarRocks. Delivered end-to-end Iceberg DELETE support with a new IcebergDeleteSink and updated planning/analyzer logic to enable position-delete execution with partition-aware validation. Enabled Iceberg REST Catalog view endpoints via a new configuration toggle for safer and more controllable view-related operations. Extended Iceberg table capabilities to read file_path and row position using ParquetPosReader, enabling precise data lineage and auditing. Improved Delta Lake refresh cache reliability to ensure the latest snapshots are used during table refresh. Refactored cloud configuration retrieval in IcebergScanNode and IcebergTableSink to improve readability and reuse. Added test stability improvements and statistics refinements to enhance reliability and data accuracy. Overall, these changes strengthen data correctness, governance, and maintainability, delivering measurable business value in data operations and system reliability.
In November 2025, the Pinterest/starrocks repository delivered key data-management features, reliability improvements, and stronger security checks with a focus on Iceberg integration and table operations. Notable work includes truncation support for Iceberg/Hive, explicit Iceberg table configuration changes, case-insensitive JWT security checks, predicate operator equality enhancements, and stabilization of Iceberg-related tests and infrastructure. These changes reduce operational cost, improve data path configurability, strengthen security posture, accelerate query optimization, and increase test reliability across CI.
In November 2025, the Pinterest/starrocks repository delivered key data-management features, reliability improvements, and stronger security checks with a focus on Iceberg integration and table operations. Notable work includes truncation support for Iceberg/Hive, explicit Iceberg table configuration changes, case-insensitive JWT security checks, predicate operator equality enhancements, and stabilization of Iceberg-related tests and infrastructure. These changes reduce operational cost, improve data path configurability, strengthen security posture, accelerate query optimization, and increase test reliability across CI.
2025-10 Monthly Summary – crossoverJie/starrocks Key features delivered: - Iceberg REST Catalog OAuth2 JWT Authentication: added OAuth2 support with JWT, updated security config and tests. Commit 8dc691d78cba7b7936325b80769c46eb2c5cbba8 - Iceberg Statistics Improvements: bucket/truncate transforms and default statistic_sample_collect_partition_size 300; updated tests. Commits 875cf28a38eb4a85a106d800fe2756572a528a23, b2cb046fd5603419d961c9e3d3c14b263a3869b8 - Iceberg Library Upgrade to 1.10.0: upgraded to 1.10.0 in Gradle build. Commit 62c4b5dc4944ab32901d97d312ef326ef0bef3bf Major bugs fixed: - Cache Invalidation Fix for ignoreSnapshotId in CachingIcebergCatalog: corrected cache invalidation logic and added test. Commit b7e31b60ecdebde4d315a9003bb57edeef4e27f2 - Test Reliability Improvements for Iceberg Timetravel: added retry mechanism to SQL execution to reduce flakiness. Commit c1917a08305092b2d996f5026dfc418f02c3321c Overall impact and accomplishments: - Strengthened security and data freshness; improved statistics-driven query planning; more reliable tests; modernization of Iceberg dependency; overall reduction in data staleness and CI flakiness. Technologies/skills demonstrated: - OAuth2, JWT, Iceberg REST catalog; Iceberg statistics and transforms; caching strategies; test reliability improvements; Gradle dependency management (Iceberg 1.10.0).
2025-10 Monthly Summary – crossoverJie/starrocks Key features delivered: - Iceberg REST Catalog OAuth2 JWT Authentication: added OAuth2 support with JWT, updated security config and tests. Commit 8dc691d78cba7b7936325b80769c46eb2c5cbba8 - Iceberg Statistics Improvements: bucket/truncate transforms and default statistic_sample_collect_partition_size 300; updated tests. Commits 875cf28a38eb4a85a106d800fe2756572a528a23, b2cb046fd5603419d961c9e3d3c14b263a3869b8 - Iceberg Library Upgrade to 1.10.0: upgraded to 1.10.0 in Gradle build. Commit 62c4b5dc4944ab32901d97d312ef326ef0bef3bf Major bugs fixed: - Cache Invalidation Fix for ignoreSnapshotId in CachingIcebergCatalog: corrected cache invalidation logic and added test. Commit b7e31b60ecdebde4d315a9003bb57edeef4e27f2 - Test Reliability Improvements for Iceberg Timetravel: added retry mechanism to SQL execution to reduce flakiness. Commit c1917a08305092b2d996f5026dfc418f02c3321c Overall impact and accomplishments: - Strengthened security and data freshness; improved statistics-driven query planning; more reliable tests; modernization of Iceberg dependency; overall reduction in data staleness and CI flakiness. Technologies/skills demonstrated: - OAuth2, JWT, Iceberg REST catalog; Iceberg statistics and transforms; caching strategies; test reliability improvements; Gradle dependency management (Iceberg 1.10.0).
September 2025 delivered significant enhancements to Iceberg integration, Delta Lake robustness, and security/authorization, with upgrades to core dependencies and improved observability. The work focuses on reliable data ingestion, stronger access controls, and performance improvements that directly impact data quality, security posture, and operational efficiency across the StarRocks search and analytics pipeline.
September 2025 delivered significant enhancements to Iceberg integration, Delta Lake robustness, and security/authorization, with upgrades to core dependencies and improved observability. The work focuses on reliable data ingestion, stronger access controls, and performance improvements that directly impact data quality, security posture, and operational efficiency across the StarRocks search and analytics pipeline.
August 2025 monthly summary for crossoverJie/starrocks: Delivered strategic Iceberg catalog enhancements and robust management capabilities, driving observability, governance, and reliability in the data platform. Implemented catalog-level improvements and procedural features that enable safer, more scalable Iceberg usage across teams, with concrete commits across feature work and reliability fixes.
August 2025 monthly summary for crossoverJie/starrocks: Delivered strategic Iceberg catalog enhancements and robust management capabilities, driving observability, governance, and reliability in the data platform. Implemented catalog-level improvements and procedural features that enable safer, more scalable Iceberg usage across teams, with concrete commits across feature work and reliability fixes.
July 2025 performance summary for crossoverJie/starrocks: Focused on strengthening security and cloud-access reliability for Iceberg REST catalogs by enabling secure token refresh by default and expanding credential vendor support across Azure and GCP. Delivered default OAuth2 token refresh for Iceberg REST Catalogs, added Azure SAS token support to Iceberg I/O with changes to IcebergCachingFileIO and CloudConfigurationFactory, and introduced GCP vending credentials with a TemporaryGCPAccessTokenProvider. These changes reduce manual credential handling, improve security posture, and simplify cloud catalog access across ADLS, Blob, and GCP-based catalogs. All updates include tests and configuration defaults to ensure predictable behavior. No major bugs fixed this month; focus was on delivering security and credential-management capabilities with clear commit-level traceability.
July 2025 performance summary for crossoverJie/starrocks: Focused on strengthening security and cloud-access reliability for Iceberg REST catalogs by enabling secure token refresh by default and expanding credential vendor support across Azure and GCP. Delivered default OAuth2 token refresh for Iceberg REST Catalogs, added Azure SAS token support to Iceberg I/O with changes to IcebergCachingFileIO and CloudConfigurationFactory, and introduced GCP vending credentials with a TemporaryGCPAccessTokenProvider. These changes reduce manual credential handling, improve security posture, and simplify cloud catalog access across ADLS, Blob, and GCP-based catalogs. All updates include tests and configuration defaults to ensure predictable behavior. No major bugs fixed this month; focus was on delivering security and credential-management capabilities with clear commit-level traceability.
June 2025: Focused on delivering business value through performance and security improvements in metadata-heavy workflows and cloud-ready Delta Lake integration. Key features and reliability enhancements were shipped across the Iceberg and Delta Lake connectors, with security and observability improvements to support stable operations at scale.
June 2025: Focused on delivering business value through performance and security improvements in metadata-heavy workflows and cloud-ready Delta Lake integration. Key features and reliability enhancements were shipped across the Iceberg and Delta Lake connectors, with security and observability improvements to support stable operations at scale.
May 2025 performance summary for crossoverJie/starrocks focusing on business value and technical achievements. This period delivered key reliability improvements for Iceberg integrations and extended catalog capabilities to support unified metadata queries, along with tests to validate correctness and guardrails.
May 2025 performance summary for crossoverJie/starrocks focusing on business value and technical achievements. This period delivered key reliability improvements for Iceberg integrations and extended catalog capabilities to support unified metadata queries, along with tests to validate correctness and guardrails.
Month: 2025-04 1) Key features delivered - Iceberg REST catalog enhancements: extended CloudConfigurationFactory to read region, path style access, and endpoint properties and integrated IcebergAwsClientFactory for vended credentials, enabling region-aware and seamless AWS credential vending (#57910, #58296). - Iceberg REST catalog: Nested namespaces support enabling hierarchical database organization, updated analyzer and name formatting, with documentation for the nested-namespace property (#58016, #58140). 2) Major bugs fixed - Delta Lake MV query: fixed bug where un-partitioned Delta Lake tables could not be queried in materialized views by enhancing DeltaLakeTable identification and enabling proper query rewrite via LOGICAL_DELTALAKE_SCAN (#57686). - Iceberg view and catalog refresh reliability: fixed issues with querying Iceberg views using CTEs and ensured automatic table metadata refresh to improve visibility and reliability (#58266, #58490). 3) Overall impact and accomplishments - Improved data accessibility and reliability for Iceberg catalogs and Delta Lake MV workloads, enabling faster analytics, better data organization (nested namespaces), and reduced operational risk due to automatic metadata refresh. 4) Technologies/skills demonstrated - Delta Lake, Iceberg REST catalog, AWS credential vending integration, CloudConfigurationFactory, IcebergAwsClientFactory, nested namespaces, query rewrite optimizations, metadata refresh mechanisms, analyzer updates, and documentation.
Month: 2025-04 1) Key features delivered - Iceberg REST catalog enhancements: extended CloudConfigurationFactory to read region, path style access, and endpoint properties and integrated IcebergAwsClientFactory for vended credentials, enabling region-aware and seamless AWS credential vending (#57910, #58296). - Iceberg REST catalog: Nested namespaces support enabling hierarchical database organization, updated analyzer and name formatting, with documentation for the nested-namespace property (#58016, #58140). 2) Major bugs fixed - Delta Lake MV query: fixed bug where un-partitioned Delta Lake tables could not be queried in materialized views by enhancing DeltaLakeTable identification and enabling proper query rewrite via LOGICAL_DELTALAKE_SCAN (#57686). - Iceberg view and catalog refresh reliability: fixed issues with querying Iceberg views using CTEs and ensured automatic table metadata refresh to improve visibility and reliability (#58266, #58490). 3) Overall impact and accomplishments - Improved data accessibility and reliability for Iceberg catalogs and Delta Lake MV workloads, enabling faster analytics, better data organization (nested namespaces), and reduced operational risk due to automatic metadata refresh. 4) Technologies/skills demonstrated - Delta Lake, Iceberg REST catalog, AWS credential vending integration, CloudConfigurationFactory, IcebergAwsClientFactory, nested namespaces, query rewrite optimizations, metadata refresh mechanisms, analyzer updates, and documentation.
March 2025 (2025-03) – CrossoverJie/starrocks: Stability and reliability improvements across critical subsystems with a focus on correctness, performance, and test reliability. Key work: fixes to statistics paths, external table handling, and Iceberg REST catalog behavior, plus stabilization of unit tests. Summary of impact: - Deliveries focused on data correctness, performance, and reliability, enabling more accurate analytics, faster statistics refresh cycles, and fewer flaky tests. - Aligned catalog behavior with expectations for views in Iceberg REST catalog, reducing configuration pitfalls for users. - Improved robustness of statistics and replay workflows in environments with Iceberg and global dictionary usage.
March 2025 (2025-03) – CrossoverJie/starrocks: Stability and reliability improvements across critical subsystems with a focus on correctness, performance, and test reliability. Key work: fixes to statistics paths, external table handling, and Iceberg REST catalog behavior, plus stabilization of unit tests. Summary of impact: - Deliveries focused on data correctness, performance, and reliability, enabling more accurate analytics, faster statistics refresh cycles, and fewer flaky tests. - Aligned catalog behavior with expectations for views in Iceberg REST catalog, reducing configuration pitfalls for users. - Improved robustness of statistics and replay workflows in environments with Iceberg and global dictionary usage.
February 2025 monthly summary for crossoverJie/starrocks: Focused on stabilizing Iceberg-related functionality, fixing query-edge cases, and extending runtime view management. Delivered improvements that directly reduce production query errors, stabilize tests, and enable dynamic view alterations, aligning with customer reliability and agility goals.
February 2025 monthly summary for crossoverJie/starrocks: Focused on stabilizing Iceberg-related functionality, fixing query-edge cases, and extending runtime view management. Delivered improvements that directly reduce production query errors, stabilize tests, and enable dynamic view alterations, aligning with customer reliability and agility goals.
January 2025 monthly summary for crossoverJie/starrocks: Delivered impactful features and reliability improvements across data scanning and Iceberg integration. Key features delivered include Roaring bitmap-based deletion vectors with batch processing enabling faster deletion handling across ORC/Parquet/Iceberg/Paimon scanners, and an Iceberg library upgrade to 1.7.1. Additional capabilities added: TranslateSQL now preserves original whitespace and newlines with tests for fidelity; Iceberg Hive catalog views support enabling create/drop/query of iceberg views in a Hive catalog. Major bug fixes addressed clang compilation in Parquet reader tests, IcebergCachingFileIO metadata caching exclusions, Parquet writer time zone handling, and Iceberg REST catalog view handling. Overall impact: improved performance, data correctness, and catalog interoperability, leading to faster analytics and more reliable deployments. Technologies/skills demonstrated: Roaring bitmaps, batch processing, Parquet/ORC scanning stacks, Iceberg 1.7.x, Hive catalog integrations, Clang-based test fixes, and robust testing.
January 2025 monthly summary for crossoverJie/starrocks: Delivered impactful features and reliability improvements across data scanning and Iceberg integration. Key features delivered include Roaring bitmap-based deletion vectors with batch processing enabling faster deletion handling across ORC/Parquet/Iceberg/Paimon scanners, and an Iceberg library upgrade to 1.7.1. Additional capabilities added: TranslateSQL now preserves original whitespace and newlines with tests for fidelity; Iceberg Hive catalog views support enabling create/drop/query of iceberg views in a Hive catalog. Major bug fixes addressed clang compilation in Parquet reader tests, IcebergCachingFileIO metadata caching exclusions, Parquet writer time zone handling, and Iceberg REST catalog view handling. Overall impact: improved performance, data correctness, and catalog interoperability, leading to faster analytics and more reliable deployments. Technologies/skills demonstrated: Roaring bitmaps, batch processing, Parquet/ORC scanning stacks, Iceberg 1.7.x, Hive catalog integrations, Clang-based test fixes, and robust testing.
December 2024 monthly review for two StarRocks forks: pinterest/starrocks and crossoverJie/starrocks. Delivered significant Delta Lake enhancements, improved reliability and cross-engine analytics capabilities, and upgraded core libraries, while expanding test coverage and observability. Business value centers on faster data access, more accurate statistics, and stable BE/Delta Lake integrations for enterprise workloads.
December 2024 monthly review for two StarRocks forks: pinterest/starrocks and crossoverJie/starrocks. Delivered significant Delta Lake enhancements, improved reliability and cross-engine analytics capabilities, and upgraded core libraries, while expanding test coverage and observability. Business value centers on faster data access, more accurate statistics, and stable BE/Delta Lake integrations for enterprise workloads.
Month: 2024-11 | Repo: pinterest/starrocks | Overview: Delivered targeted features and stability improvements that improve data analysis workflows and ingestion reliability, while tightening performance and correctness for Iceberg/MV paths. Business value centers on faster analytics, broader SQL compatibility, and more robust data management workflows.
Month: 2024-11 | Repo: pinterest/starrocks | Overview: Delivered targeted features and stability improvements that improve data analysis workflows and ingestion reliability, while tightening performance and correctness for Iceberg/MV paths. Business value centers on faster analytics, broader SQL compatibility, and more robust data management workflows.
October 2024 monthly summary for developer work across crossoverJie/starrocks and pinterest/starrocks. Focused on delivering business-value improvements through targeted feature optimizations and critical bug fixes in data processing. Highlights include reducing unnecessary analytics work, enhancing Delta Lake compatibility, and strengthening cross-repo collaboration for reliable analytics pipelines.
October 2024 monthly summary for developer work across crossoverJie/starrocks and pinterest/starrocks. Focused on delivering business-value improvements through targeted feature optimizations and critical bug fixes in data processing. Highlights include reducing unnecessary analytics work, enhancing Delta Lake compatibility, and strengthening cross-repo collaboration for reliable analytics pipelines.

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