taosdata/TDengine
Feb 2025 – Mar 2026
11 Months active
Languages Used
CC++CMakeMarkdownPythonSQLShell
Technical Skills
Backend DevelopmentBuild SystemBuild System ConfigurationC ProgrammingC++ DevelopmentCode Refactoring
Hongze Cheng
PROFILE
Hongze Cheng
Worked on the taosdata/TDengine repository, delivering features and fixes that enhanced reliability, data integrity, and observability in time-series database systems. Built core components such as metadata compaction, VNode Scan, and Local Repair Mode, focusing on robust error handling, memory management, and performance optimization. Used C and Python to implement backend logic, buffer management, and distributed system workflows, while improving logging and documentation for maintainability. Addressed bugs in file system operations, time precision, and memory leaks, ensuring safer schema changes and more predictable system behavior. The work demonstrated depth in database internals, system programming, and automated testing practices.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
67Total
Bugs
16
Commits
67
Features
16
Lines of code
12,583
Activity Months11
Your Network
119 peopleSame Organization
@taosdata.com31
MingRen ChenMember
xiao-77Member
Bomin ZhangMember
Bo XiaoMember
Qin ChongMember
Yaming PeiMember
guozhenweiMember
hongzhenliu335Member
tangfangzhiMember
Shared Repositories
88
Work History
March 2026
1 Commits • 1 Features
Mar 1, 20262026-03 TDengine monthly summary focused on reliability improvements through the introduction of Local Repair Mode for Data Nodes. The feature enables targeted repairs of metadata and TSDB files at node startup, with configurable targets and strategies to improve data integrity and recovery in distributed deployments. No explicit bug fixes were reported this month in the provided data, but the work establishes a robust foundation for repair workflows and faster MTTR.
1 Commits • 1 Features
Mar 1, 20262026-03 TDengine monthly summary focused on reliability improvements through the introduction of Local Repair Mode for Data Nodes. The feature enables targeted repairs of metadata and TSDB files at node startup, with configurable targets and strategies to improve data integrity and recovery in distributed deployments. No explicit bug fixes were reported this month in the provided data, but the work establishes a robust foundation for repair workflows and faster MTTR.
March 2026
November 2025
6 Commits • 1 Features
Nov 1, 2025Month: 2025-11 | TDengine (taosdata/TDengine) | Focus: reliability, data integrity, and performance Key features delivered: - Added FORCE option to COMPACT command, enabling forced compaction even with no new writes; updated documentation, data structures, and parsing logic to support the option. Commit: dd784968b98e1b667a94bdb3ab62a93cb8e65d85. Major bugs fixed: - Snapshot message size calculation: refined logic for handling column data flags, improved logging for time-series reads, and corrected payload size estimates. Commits: 984cc947a63f7868560c398e0ec9d6c708439c71; e4cf92af618c3193cef2a6de146cdf1958299a66; 9e2fd29b0b7a0ac4f49fe73e08ae85962f55d342. - Improved cleanup of dangling files during file system corruption to enhance data integrity and reliability. Commit: 225f24dbc0638d4c2e5135fe7bed83655bdc78a7. - Time precision handling in the file set reader: convert microseconds and nanoseconds to milliseconds based on configured precision, ensuring accurate time data processing. Commit: 43f2fe8291d9566b97988bc2ef1137771e40bb25. Overall impact and accomplishments: - Increased data integrity, reliability, and resilience to corruption with robust compaction, accurate time data processing, and clearer observability. Reduced risk of data loss and improved predictability of storage behavior for time-series workloads. Technologies/skills demonstrated: - C/C++ code changes, parsing logic, time precision handling, enhanced logging, file system resilience, and documentation contributions. Demonstrated end-to-end feature delivery, targeted bug fixes, and clear commit messaging for maintainability.
November 2025
6 Commits • 1 Features
Nov 1, 2025Month: 2025-11 | TDengine (taosdata/TDengine) | Focus: reliability, data integrity, and performance Key features delivered: - Added FORCE option to COMPACT command, enabling forced compaction even with no new writes; updated documentation, data structures, and parsing logic to support the option. Commit: dd784968b98e1b667a94bdb3ab62a93cb8e65d85. Major bugs fixed: - Snapshot message size calculation: refined logic for handling column data flags, improved logging for time-series reads, and corrected payload size estimates. Commits: 984cc947a63f7868560c398e0ec9d6c708439c71; e4cf92af618c3193cef2a6de146cdf1958299a66; 9e2fd29b0b7a0ac4f49fe73e08ae85962f55d342. - Improved cleanup of dangling files during file system corruption to enhance data integrity and reliability. Commit: 225f24dbc0638d4c2e5135fe7bed83655bdc78a7. - Time precision handling in the file set reader: convert microseconds and nanoseconds to milliseconds based on configured precision, ensuring accurate time data processing. Commit: 43f2fe8291d9566b97988bc2ef1137771e40bb25. Overall impact and accomplishments: - Increased data integrity, reliability, and resilience to corruption with robust compaction, accurate time data processing, and clearer observability. Reduced risk of data loss and improved predictability of storage behavior for time-series workloads. Technologies/skills demonstrated: - C/C++ code changes, parsing logic, time precision handling, enhanced logging, file system resilience, and documentation contributions. Demonstrated end-to-end feature delivery, targeted bug fixes, and clear commit messaging for maintainability.
October 2025
4 Commits • 1 Features
Oct 1, 2025October 2025 (2025-10) focused on strengthening observability for vnode queries and metadata decoding in taosdata/TDengine. Implemented end-to-end enhanced error logging across vnode query and metadata paths, enabling precise debugging traces and faster issue diagnosis. Key changes include emitting vgroup id in vnode query errors, including vgId in table metadata error messages, and explicit logging for failed metadata decoding with UID and failure reason. These improvements were delivered across multiple commits to improve traceability and reliability, laying groundwork for quicker MTTR and improved service availability.
4 Commits • 1 Features
Oct 1, 2025October 2025 (2025-10) focused on strengthening observability for vnode queries and metadata decoding in taosdata/TDengine. Implemented end-to-end enhanced error logging across vnode query and metadata paths, enabling precise debugging traces and faster issue diagnosis. Key changes include emitting vgroup id in vnode query errors, including vgId in table metadata error messages, and explicit logging for failed metadata decoding with UID and failure reason. These improvements were delivered across multiple commits to improve traceability and reliability, laying groundwork for quicker MTTR and improved service availability.
October 2025
September 2025
3 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary for taosdata/TDengine: Delivered a high-impact VNode Scan feature enabling end-to-end data scanning within databases and vgroups, along with robust error handling and reliability improvements across the scanning path. The work spanned client-side SQL command support and server-side handling, unified with enhanced tests and documentation updates to ensure stable operation in production environments. Overall, the month delivered tangible business value by expanding accessible data discovery capabilities while strengthening system reliability and maintainability.
September 2025
3 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary for taosdata/TDengine: Delivered a high-impact VNode Scan feature enabling end-to-end data scanning within databases and vgroups, along with robust error handling and reliability improvements across the scanning path. The work spanned client-side SQL command support and server-side handling, unified with enhanced tests and documentation updates to ensure stable operation in production environments. Overall, the month delivered tangible business value by expanding accessible data discovery capabilities while strengthening system reliability and maintainability.
August 2025
4 Commits • 1 Features
Aug 1, 2025August 2025 performance summary: Delivered stability improvements and modernized data encoding paths in TDengine, focusing on preventing runtime crashes during buffer management and enhancing floating-point data handling. The work reduces production risk, improves data ingestion reliability, and provides a stronger foundation for future performance optimizations in encoding and buffer management.
4 Commits • 1 Features
Aug 1, 2025August 2025 performance summary: Delivered stability improvements and modernized data encoding paths in TDengine, focusing on preventing runtime crashes during buffer management and enhancing floating-point data handling. The work reduces production risk, improves data ingestion reliability, and provides a stronger foundation for future performance optimizations in encoding and buffer management.
August 2025
July 2025
12 Commits • 2 Features
Jul 1, 2025July 2025 (taosdata/TDengine): Strengthened reliability, observability, and data integrity through targeted improvements across logging, data submission, memory management, and statistics accuracy. These changes deliver faster troubleshooting, safer auto table creation, and more robust queue handling in production.
July 2025
12 Commits • 2 Features
Jul 1, 2025July 2025 (taosdata/TDengine): Strengthened reliability, observability, and data integrity through targeted improvements across logging, data submission, memory management, and statistics accuracy. These changes deliver faster troubleshooting, safer auto table creation, and more robust queue handling in production.
June 2025
5 Commits • 2 Features
Jun 1, 2025June 2025 monthly summary for taosdata/TDengine. Focused on data integrity, reliability, and observability improvements that enable safer schema operations, more robust message processing, and enhanced system visibility. Delivered concrete changes with clear business value in data correctness, operational resilience, and performance tuning.
5 Commits • 2 Features
Jun 1, 2025June 2025 monthly summary for taosdata/TDengine. Focused on data integrity, reliability, and observability improvements that enable safer schema operations, more robust message processing, and enhanced system visibility. Delivered concrete changes with clear business value in data correctness, operational resilience, and performance tuning.
June 2025
May 2025
4 Commits • 1 Features
May 1, 2025May 2025 TDengine: Focused on improving TSDB reliability, observability, and data integrity through cache-aware operations, memory metrics, and robust parsing. Delivered feature and bug fixes that reduce downtime, improve data correctness, and empower operations with better visibility.
May 2025
4 Commits • 1 Features
May 1, 2025May 2025 TDengine: Focused on improving TSDB reliability, observability, and data integrity through cache-aware operations, memory metrics, and robust parsing. Delivered feature and bug fixes that reduce downtime, improve data correctness, and empower operations with better visibility.
April 2025
9 Commits • 2 Features
Apr 1, 2025April 2025 monthly summary for taosdata/TDengine: Delivered key feature and stability improvements with a focus on data integrity, reliability, and maintainability. Implemented tag data type validation during child table creation to ensure correct schemas and prevent mismatched tag types. Hardened meta abort handling by ensuring the meta cache is cleared to avoid stale metadata and enable consistent rollback. Improved test reliability by adjusting tests to always include first/last child tables and to use exact table indices in queries. Updated internal behavior to allow duplicate versions in tBlockDataUpdateRow and fixed MetaOpen parameter path handling for proper meta directory construction. Added documentation clarifications for META_ONLY semantics during meta data compaction.
9 Commits • 2 Features
Apr 1, 2025April 2025 monthly summary for taosdata/TDengine: Delivered key feature and stability improvements with a focus on data integrity, reliability, and maintainability. Implemented tag data type validation during child table creation to ensure correct schemas and prevent mismatched tag types. Hardened meta abort handling by ensuring the meta cache is cleared to avoid stale metadata and enable consistent rollback. Improved test reliability by adjusting tests to always include first/last child tables and to use exact table indices in queries. Updated internal behavior to allow duplicate versions in tBlockDataUpdateRow and fixed MetaOpen parameter path handling for proper meta directory construction. Added documentation clarifications for META_ONLY semantics during meta data compaction.
April 2025
March 2025
5 Commits • 2 Features
Mar 1, 2025March 2025 TDengine development highlights: Key features delivered include meta management improvements with robust open-state checks and a new -r option to regenerate metadata for virtual nodes, and a disk space upgrade increasing minFreeDiskSize to 2TB with updated docs and CI tests. Major bugs fixed include memory initialization fix (zero-initialized allocations in metaTable handling) and documentation/code consistency fix for should_compact. Overall impact: improved meta reliability, scalability for larger deployments, reduced risk of memory-related issues, and clearer documentation; these changes enhance stability, performance, and developer experience, enabling faster onboarding and safer upgrades. Technologies/skills demonstrated: C/C++ memory management (calloc), CLI enhancements, rigorous CI/test coverage, and attention to documentation/code consistency.
March 2025
5 Commits • 2 Features
Mar 1, 2025March 2025 TDengine development highlights: Key features delivered include meta management improvements with robust open-state checks and a new -r option to regenerate metadata for virtual nodes, and a disk space upgrade increasing minFreeDiskSize to 2TB with updated docs and CI tests. Major bugs fixed include memory initialization fix (zero-initialized allocations in metaTable handling) and documentation/code consistency fix for should_compact. Overall impact: improved meta reliability, scalability for larger deployments, reduced risk of memory-related issues, and clearer documentation; these changes enhance stability, performance, and developer experience, enabling faster onboarding and safer upgrades. Technologies/skills demonstrated: C/C++ memory management (calloc), CLI enhancements, rigorous CI/test coverage, and attention to documentation/code consistency.
February 2025
14 Commits • 2 Features
Feb 1, 2025February 2025 monthly summary for taosdata/TDengine focusing on metadata compaction work. Delivered two features centered on meta management and safe, efficient metadata compaction with accompanying tests and documentation. No separate major bug-fix effort captured in this period; improvements were feature-driven with strong test coverage and clear documentation.
14 Commits • 2 Features
Feb 1, 2025February 2025 monthly summary for taosdata/TDengine focusing on metadata compaction work. Delivered two features centered on meta management and safe, efficient metadata compaction with accompanying tests and documentation. No separate major bug-fix effort captured in this period; improvements were feature-driven with strong test coverage and clear documentation.
February 2025
Activity
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Quality Metrics
Correctness83.8%
Maintainability83.2%
Architecture76.4%
Performance73.6%
AI Usage20.2%
Skills & Technologies
Programming Languages
CC++CMakeMarkdownPythonSQLShell
Technical Skills
Backend DevelopmentBuffer ManagementBuffer Pool ManagementBug FixBug FixingBuild SystemBuild System ConfigurationC ProgrammingC programmingC++ DevelopmentCache ManagementCode RefactoringConcurrency ControlConfiguration ManagementData Compaction
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline