crossoverJie/starrocks
Dec 2024 – Oct 2025
5 Months active
Languages Used
JavaSQLThrift
Technical Skills
Backend DevelopmentDatabase OptimizationJavaSQLAPI DevelopmentData Engineering
hmx
PROFILE
Hmx
Over five months, this developer enhanced the crossoverJie/starrocks repository by building features that improved query observability, data integrity, and system stability. They introduced session-configurable limits for OLAP partition scans and developed SQL commands to surface data distribution, aiding performance tuning. Using Java and SQL, they added real-time query progress APIs and protected materialized view dependencies through session variables. Their backend work included refining replica selection logic and fixing Paimon table statistics reporting by adjusting UUID generation. The developer’s contributions demonstrated depth in backend development, database optimization, and distributed systems, resulting in more reliable analytics and safer data management for users.
Overall Statistics
Feature vs Bugs
75%Features
Repository Contributions
8Total
Bugs
2
Commits
8
Features
6
Lines of code
1,529
Activity Months5
Your Network
46 people
Work History
October 2025
1 Commits
Oct 1, 2025Month: 2025-10. This period centered on stabilizing statistics collection for Paimon tables within crossoverJie/starrocks. The primary delivery was a targeted bug fix to ensure accurate statistics reporting rather than adding new features. The change reduces noise in analytics and improves data-driven decision making for customers relying on Paimon table statistics.
1 Commits
Oct 1, 2025Month: 2025-10. This period centered on stabilizing statistics collection for Paimon tables within crossoverJie/starrocks. The primary delivery was a targeted bug fix to ensure accurate statistics reporting rather than adding new features. The change reduces noise in analytics and improves data-driven decision making for customers relying on Paimon table statistics.
October 2025
August 2025
2 Commits • 2 Features
Aug 1, 2025August 2025 overall: Delivered two major enhancements for data integrity and runtime observability across the crossoverJie/starrocks project, with clear business value in safer data management and improved query monitoring.
August 2025
2 Commits • 2 Features
Aug 1, 2025August 2025 overall: Delivered two major enhancements for data integrity and runtime observability across the crossoverJie/starrocks project, with clear business value in safer data management and improved query monitoring.
May 2025
1 Commits • 1 Features
May 1, 2025May 2025: Delivered real-time query execution progress visibility for crossoverJie/starrocks. Added ExecProgress to QueryStatisticsInfo and a new API endpoint, surfacing live progress in /current_queries to improve observability, SLA adherence, and workload management. This work is tied to commit 22721e77be202fd4fccb7b5da6ec808956dcbafa (Enhancement: add query progress into /current_queries command result (#58777)).
1 Commits • 1 Features
May 1, 2025May 2025: Delivered real-time query execution progress visibility for crossoverJie/starrocks. Added ExecProgress to QueryStatisticsInfo and a new API endpoint, surfacing live progress in /current_queries to improve observability, SLA adherence, and workload management. This work is tied to commit 22721e77be202fd4fccb7b5da6ec808956dcbafa (Enhancement: add query progress into /current_queries command result (#58777)).
May 2025
April 2025
3 Commits • 2 Features
Apr 1, 2025April 2025 monthly summary for crossoverJie/starrocks focusing on delivering observable business value through enhanced data-tuning capabilities, improved query visibility, and increased cluster reliability. The work highlights progress in data insight tooling, query execution transparency, and robustness in replica selection, aligning with performance and reliability objectives for data-heavy workloads.
April 2025
3 Commits • 2 Features
Apr 1, 2025April 2025 monthly summary for crossoverJie/starrocks focusing on delivering observable business value through enhanced data-tuning capabilities, improved query visibility, and increased cluster reliability. The work highlights progress in data insight tooling, query execution transparency, and robustness in replica selection, aligning with performance and reliability objectives for data-heavy workloads.
December 2024
1 Commits • 1 Features
Dec 1, 2024Month: 2024-12 Overview: This month focused on delivering a stability-oriented feature for large-scale OLAP workloads in the crossoverJie/starrocks repository, with clear business value in predictable performance and safer resource usage. Key features delivered: - OLAP Partition Scan Limit Session Variable: Introduced scan_olap_partition_num_limit to cap the maximum number of partitions scanned in internal OLAP tables. Default is 0 (no limit) and can be configured per session to prevent heavy scans on large datasets. This enhances stability and predictability of queries operating on large tables. Major bugs fixed: - No critical bug fixes were reported in this period. The primary focus was on a stability feature to mitigate risk during large-scale scans. Overall impact and accomplishments: - Improved reliability for large-scale OLAP workloads by preventing excessive partition scans, reducing risk of stress on cluster resources and improving query stability during peak load. - The change is low-risk, backward-compatible, and easily configurable, aligning with business goals of predictable performance and safer resource usage. - Documented and merged as part of upstream efforts (PR #53747) with a focused commit (a0a25b4707d0c7ff4dfe22caa19c758063dedaaf). Technologies/skills demonstrated: - Configuration-driven feature implementation (session-scoped variable) and internal OLAP table handling. - Change management and code contribution workflow (commit referenced, PR integration). - Collaboration with cross-team and upstream project alignment for stability enhancements.
1 Commits • 1 Features
Dec 1, 2024Month: 2024-12 Overview: This month focused on delivering a stability-oriented feature for large-scale OLAP workloads in the crossoverJie/starrocks repository, with clear business value in predictable performance and safer resource usage. Key features delivered: - OLAP Partition Scan Limit Session Variable: Introduced scan_olap_partition_num_limit to cap the maximum number of partitions scanned in internal OLAP tables. Default is 0 (no limit) and can be configured per session to prevent heavy scans on large datasets. This enhances stability and predictability of queries operating on large tables. Major bugs fixed: - No critical bug fixes were reported in this period. The primary focus was on a stability feature to mitigate risk during large-scale scans. Overall impact and accomplishments: - Improved reliability for large-scale OLAP workloads by preventing excessive partition scans, reducing risk of stress on cluster resources and improving query stability during peak load. - The change is low-risk, backward-compatible, and easily configurable, aligning with business goals of predictable performance and safer resource usage. - Documented and merged as part of upstream efforts (PR #53747) with a focused commit (a0a25b4707d0c7ff4dfe22caa19c758063dedaaf). Technologies/skills demonstrated: - Configuration-driven feature implementation (session-scoped variable) and internal OLAP table handling. - Change management and code contribution workflow (commit referenced, PR integration). - Collaboration with cross-team and upstream project alignment for stability enhancements.
December 2024
Activity
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Quality Metrics
Correctness92.6%
Maintainability87.6%
Architecture87.6%
Performance81.2%
AI Usage20.0%
Skills & Technologies
Programming Languages
JavaSQLThrift
Technical Skills
API DesignAPI DevelopmentBackend DevelopmentBug FixData EngineeringDatabaseDatabase InternalsDatabase ManagementDatabase OptimizationDistributed SystemsHTTP ServicesJavaQuery OptimizationSQLSystem Design
Repositories Contributed To
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