apache/doris
Nov 2024 – Oct 2025
7 Months active
Languages Used
C++JSONJavaGroovySQLANTLR
Technical Skills
Backend DevelopmentHTTP APIsRPC FrameworksRate LimitingSystem ConfigurationDistributed Systems
Siyang Tang
PROFILE
Siyang Tang
Over several months contributing to apache/doris, this developer focused on backend reliability, data integrity, and operational control in distributed systems. They delivered features such as dynamic QPS limiting for RPCs, TDE root key rotation, and enhanced encryption key management, using C++, ANTLR, and Protobuf to implement robust HTTP APIs and command-line interfaces. Their work addressed schema-change safety, metadata serialization limits, and materialized view consistency, often adding targeted regression tests to ensure stability. By prioritizing error handling, observability, and secure configuration, they improved system resilience and enabled safer migrations, analytics, and traffic management across large-scale database deployments.
Overall Statistics
Feature vs Bugs
44%Features
Repository Contributions
11Total
Bugs
5
Commits
11
Features
4
Lines of code
1,569
Activity Months7
Your Network
658 peopleShared Repositories
129
Work History
October 2025
3 Commits • 2 Features
Oct 1, 2025Month: 2025-10 — Three high-impact changes in apache/doris spanning security, encryption lifecycle, and schema-change flexibility.
3 Commits • 2 Features
Oct 1, 2025Month: 2025-10 — Three high-impact changes in apache/doris spanning security, encryption lifecycle, and schema-change flexibility.
October 2025
August 2025
1 Commits
Aug 1, 2025August 2025 monthly summary focusing on stability and correctness of Materialized Views during schema changes in apache/doris. Delivered a critical fix for Materialized View shadow index integrity that preserves MV definitions and where clauses when creating a shadow index on MV-related columns, preventing MV information loss during schema changes. The change is captured in commit f467914e67f8885ad372c447183d86942351f14 and enhances reliability for MV-based analytics by removing a class of potential inconsistencies that could disrupt dashboards and reports.
August 2025
1 Commits
Aug 1, 2025August 2025 monthly summary focusing on stability and correctness of Materialized Views during schema changes in apache/doris. Delivered a critical fix for Materialized View shadow index integrity that preserves MV definitions and where clauses when creating a shadow index on MV-related columns, preventing MV information loss during schema changes. The change is captured in commit f467914e67f8885ad372c447183d86942351f14 and enhances reliability for MV-based analytics by removing a class of potential inconsistencies that could disrupt dashboards and reports.
July 2025
1 Commits
Jul 1, 2025July 2025: Core focus on correctness and reliability of OlapTable distribution metadata after rebuilds. Delivered a critical bug fix to ensure distribution information is synchronized with new distribution columns, preserving data integrity and accurate query results after schema changes. This work reduces risk of data skew and incorrect analytics in production and strengthens Doris's handling of distribution metadata during rebuilds.
1 Commits
Jul 1, 2025July 2025: Core focus on correctness and reliability of OlapTable distribution metadata after rebuilds. Delivered a critical bug fix to ensure distribution information is synchronized with new distribution columns, preserving data integrity and accurate query results after schema changes. This work reduces risk of data skew and incorrect analytics in production and strengthens Doris's handling of distribution metadata during rebuilds.
July 2025
March 2025
2 Commits
Mar 1, 2025March 2025 (2025-03) monthly summary focused on the Apache Doris repository. Key outcomes center on schema-change robustness improvements and targeted bug fixes that increase data integrity and migration reliability across clusters. Work was driven by concrete commits addressing essential correctness and cleanup после failed operations, reducing risk in production migrations.
March 2025
2 Commits
Mar 1, 2025March 2025 (2025-03) monthly summary focused on the Apache Doris repository. Key outcomes center on schema-change robustness improvements and targeted bug fixes that increase data integrity and migration reliability across clusters. Work was driven by concrete commits addressing essential correctness and cleanup после failed operations, reducing risk in production migrations.
February 2025
2 Commits • 1 Features
Feb 1, 2025February 2025 focused on improving reliability, observability, and test coverage in the Doris repository. Delivered a feature that strengthens monitoring and rate limiter robustness, complemented by targeted unit tests to validate cloud rate limiter behavior. These efforts reduce production risk and accelerate issue detection.
2 Commits • 1 Features
Feb 1, 2025February 2025 focused on improving reliability, observability, and test coverage in the Doris repository. Delivered a feature that strengthens monitoring and rate limiter robustness, complemented by targeted unit tests to validate cloud rate limiter behavior. These efforts reduce production risk and accelerate issue detection.
February 2025
December 2024
1 Commits
Dec 1, 2024December 2024 monthly summary for apache/doris: Implemented a stability fix by guarding rowset metadata serialization against the 2GB protobuf limit, and added regression tests. This work prevents fatal protobuf errors when large rowsets push metadata beyond the protobuf-size boundary, improving reliability and scalability of metadata handling across large datasets.
December 2024
1 Commits
Dec 1, 2024December 2024 monthly summary for apache/doris: Implemented a stability fix by guarding rowset metadata serialization against the 2GB protobuf limit, and added regression tests. This work prevents fatal protobuf errors when large rowsets push metadata beyond the protobuf-size boundary, improving reliability and scalability of metadata handling across large datasets.
November 2024
1 Commits • 1 Features
Nov 1, 2024Month: 2024-11 | Apache Doris Key achievements highlighted this month center on delivering a critical capability for traffic control in the meta-service by adding dynamic QPS limiting for RPCs. This work enables real-time adjustment and querying of QPS limits with flexible scoping (global, RPC-specific, or per-instance) and introduces a new endpoint to list all QPS limit configurations across RPCs and instances, significantly improving observability and stability under load. Major bugs fixed - No major bugs reported this month. Focused on feature delivery to enhance traffic control and resilience. Overall impact and accomplishments - Delivers measurable business value by enabling safe, dynamic traffic management, reducing risk of overload during peak loads, and accelerating issue diagnosis with a centralized configuration view. - Improves deploy safety and operational control for meta-service RPC traffic, enabling quicker tuning without redeploys. - Supports capacity planning with per-service and per-instance QPS configurations and a centralized configuration listing endpoint. Technologies/skills demonstrated - REST/HTTP APIs for runtime configuration and observability - Feature development in distributed services (meta-service) with per-scope QPS control - Commit: 4783fc0901131287983620719dcaef1517fd1e43 ([feature](meta-service) Support querying and adjusting rpc qps limit on meta service (#42413)) - Emphasis on performance reliability, observability, and safe rollout of traffic control features
1 Commits • 1 Features
Nov 1, 2024Month: 2024-11 | Apache Doris Key achievements highlighted this month center on delivering a critical capability for traffic control in the meta-service by adding dynamic QPS limiting for RPCs. This work enables real-time adjustment and querying of QPS limits with flexible scoping (global, RPC-specific, or per-instance) and introduces a new endpoint to list all QPS limit configurations across RPCs and instances, significantly improving observability and stability under load. Major bugs fixed - No major bugs reported this month. Focused on feature delivery to enhance traffic control and resilience. Overall impact and accomplishments - Delivers measurable business value by enabling safe, dynamic traffic management, reducing risk of overload during peak loads, and accelerating issue diagnosis with a centralized configuration view. - Improves deploy safety and operational control for meta-service RPC traffic, enabling quicker tuning without redeploys. - Supports capacity planning with per-service and per-instance QPS configurations and a centralized configuration listing endpoint. Technologies/skills demonstrated - REST/HTTP APIs for runtime configuration and observability - Feature development in distributed services (meta-service) with per-scope QPS control - Commit: 4783fc0901131287983620719dcaef1517fd1e43 ([feature](meta-service) Support querying and adjusting rpc qps limit on meta service (#42413)) - Emphasis on performance reliability, observability, and safe rollout of traffic control features
November 2024
Activity
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Quality Metrics
Correctness90.0%
Maintainability81.8%
Architecture80.8%
Performance72.8%
AI Usage20.0%
Skills & Technologies
Programming Languages
ANTLRC++GroovyJSONJavaSQL
Technical Skills
ANTLRBackend DevelopmentC++Command Line Interface (CLI)Data IntegrityData ManagementDatabase AdministrationDatabase ManagementDistributed SystemsEncryptionError HandlingFrontend DevelopmentHTTP APIsLoggingProtobuf
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline