microsoft/documentdb
Mar 2026 – Apr 2026
2 Months active
Languages Used
CSQLC++
Technical Skills
C programmingbackend developmentdatabase managementC++ programmingSQLdatabase optimization
Shivam Atri
PROFILE
Shivam Atri
Contributed to microsoft/documentdb by delivering both stability and performance improvements to the aggregation engine over a two-month period. Addressed a critical bug in BSON projection logic using C, ensuring pendingProjectionState was preserved during recursive traversal of nested documents, which prevented state corruption and improved query correctness. Subsequently, implemented performance enhancements in C and C++ by enabling index pushdown for $group operations, supporting both single-field and multi-field group by scenarios. These changes optimized query planning and execution, reduced resource usage, and improved latency for analytics workloads, all without requiring schema changes or impacting configuration, demonstrating strong backend and database optimization skills.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
3Total
Bugs
1
Commits
3
Features
1
Lines of code
3,041
Activity Months2
Your Network
4744 peopleSame Organization
@microsoft.com4683
GitOpsMember
Ananta GuptaMember
Abi GicicMember
Abigail HartmanMember
Abram SandersonMember
Adam EttenbergerMember
Alexandre GattikerMember
Ami HollanderMember
AndersMember
Work History
April 2026
2 Commits • 1 Features
Apr 1, 2026Month: 2026-04 — Performance-focused enhancements to the documentdb aggregation engine. Key outcomes include index pushdown for $group with single-field _id enabling ordered index scans and GroupAggregate plans, and a parallel enhancement for multi-field group by pushdown that decomposes composite keys to leverage compound indexes. These changes reduce CPU and I/O for large-group aggregations and improve latency for analytics workloads. No schema changes or new config introduced; changes are planner and execution-path oriented with no customer-visible schema impact. Commits merged (3daa7cb5... and 362cc5a7...) updated the aggregation planner, added per-field group by pathkeys, and adjusted BsonFullScan qualification logic. Customer impact is positive, with documented performance improvements in the PRs. Regression tests and expected-plan baselines were updated for non-sharded and sharded scenarios.
2 Commits • 1 Features
Apr 1, 2026Month: 2026-04 — Performance-focused enhancements to the documentdb aggregation engine. Key outcomes include index pushdown for $group with single-field _id enabling ordered index scans and GroupAggregate plans, and a parallel enhancement for multi-field group by pushdown that decomposes composite keys to leverage compound indexes. These changes reduce CPU and I/O for large-group aggregations and improve latency for analytics workloads. No schema changes or new config introduced; changes are planner and execution-path oriented with no customer-visible schema impact. Commits merged (3daa7cb5... and 362cc5a7...) updated the aggregation planner, added per-field group by pathkeys, and adjusted BsonFullScan qualification logic. Customer impact is positive, with documented performance improvements in the PRs. Regression tests and expected-plan baselines were updated for non-sharded and sharded scenarios.
April 2026
March 2026
1 Commits
Mar 1, 2026March 2026 monthly summary for microsoft/documentdb focused on correctness and stability of BSON projections in nested documents. Delivered a critical bug fix that preserves and restores pendingProjectionState during recursive traversal, preventing state corruption in bson_dollar_project_find and ensuring accurate results for nested projections. The fix was merged under PR 2017148 (commit dba50998174314cefb892bf6487c08411b8b96a1) with customer impact and no schema changes.
March 2026
1 Commits
Mar 1, 2026March 2026 monthly summary for microsoft/documentdb focused on correctness and stability of BSON projections in nested documents. Delivered a critical bug fix that preserves and restores pendingProjectionState during recursive traversal, preventing state corruption in bson_dollar_project_find and ensuring accurate results for nested projections. The fix was merged under PR 2017148 (commit dba50998174314cefb892bf6487c08411b8b96a1) with customer impact and no schema changes.
Activity
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Quality Metrics
Correctness100.0%
Maintainability80.0%
Architecture86.6%
Performance93.4%
AI Usage53.4%
Skills & Technologies
Programming Languages
CC++SQL
Technical Skills
C programmingC++ programmingSQLbackend developmentdatabase managementdatabase optimizationperformance tuningquery planning
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