google/perfetto
Oct 2024 – Mar 2025
6 Months active
Languages Used
C++PythonSQLTypeScriptccprotoprotobufpy
Technical Skills
Backend DevelopmentDatabase ManagementDatabase Schema DesignDocumentation GenerationJSON ParsingPerformance Analysis
Anna Mayzner
PROFILE
Anna Mayzner
Over six months, Mayzner contributed to the google/perfetto repository by building advanced data exploration and analytics features, focusing on both backend reliability and frontend usability. He developed and integrated StructuredQuery-based workflows, expanded SQL schema and type systems, and enhanced the Explore Page UI for multi-source analysis and query building. Using TypeScript, C++, and SQL, Mayzner improved module interoperability, introduced new SQL views for memory analysis, and strengthened error handling and data integrity. His work demonstrated depth in system integration, schema design, and UI/UX development, resulting in more robust, maintainable code and a richer, more flexible data analysis platform.
Overall Statistics
Feature vs Bugs
69%Features
Repository Contributions
96Total
Bugs
9
Commits
96
Features
20
Lines of code
24,447
Activity Months6
Your Network
4376 people
Work History
March 2025
15 Commits • 2 Features
Mar 1, 2025Monthly summary for 2025-03 focusing on developer work across the google/perfetto repository. Key features delivered, major bugs fixed, impact, and technologies demonstrated. Key features delivered: - Explore Page Query Builder Enhancements and Textproto View: user-facing expansion enabling copyable and shareable structured queries (StructuredQuery textproto), refined query generation, column selection, operator integration, improved data-source addition UX, and node operations (edit, duplicate, remove) with copyable SQL snippets and row-limiting UI behavior. - ART Heap Graph SQL Views: introduced new SQL views (heap_graph_class, heap_graph_object, heap_graph_reference) for structured access to class, objects, and inter-object references, enabling advanced heap analysis; stdlib prelude updated to include heap_graph tables. Major bugs fixed: - BitVector Resize Bug Fix: corrects counts when expanding Resize; added unit tests to verify resize behavior. Overall impact and accomplishments: - Significantly improved developer experience for data exploration and analysis with enhanced query building, copy/share capabilities, and safer data viewing constraints (row limits). - Enabled deeper heap-graph analysis via new SQL views, streamlining memory analysis workflows. - Improved code quality and stability through targeted bug fixes and comprehensive testing. Technologies/skills demonstrated: - UI/UX improvements, Textproto handling, and end-to-end feature delivery in the Explore Page. - SQL view design and stdlib integration for new heap-graph data structures. - Unit testing and defensive programming to ensure correctness in core data structures.
15 Commits • 2 Features
Mar 1, 2025Monthly summary for 2025-03 focusing on developer work across the google/perfetto repository. Key features delivered, major bugs fixed, impact, and technologies demonstrated. Key features delivered: - Explore Page Query Builder Enhancements and Textproto View: user-facing expansion enabling copyable and shareable structured queries (StructuredQuery textproto), refined query generation, column selection, operator integration, improved data-source addition UX, and node operations (edit, duplicate, remove) with copyable SQL snippets and row-limiting UI behavior. - ART Heap Graph SQL Views: introduced new SQL views (heap_graph_class, heap_graph_object, heap_graph_reference) for structured access to class, objects, and inter-object references, enabling advanced heap analysis; stdlib prelude updated to include heap_graph tables. Major bugs fixed: - BitVector Resize Bug Fix: corrects counts when expanding Resize; added unit tests to verify resize behavior. Overall impact and accomplishments: - Significantly improved developer experience for data exploration and analysis with enhanced query building, copy/share capabilities, and safer data viewing constraints (row limits). - Enabled deeper heap-graph analysis via new SQL views, streamlining memory analysis workflows. - Improved code quality and stability through targeted bug fixes and comprehensive testing. Technologies/skills demonstrated: - UI/UX improvements, Textproto handling, and end-to-end feature delivery in the Explore Page. - SQL view design and stdlib integration for new heap-graph data structures. - Unit testing and defensive programming to ensure correctness in core data structures.
March 2025
February 2025
18 Commits • 2 Features
Feb 1, 2025February 2025: Focused on user-facing analytics capabilities, data integrity, and clearer error handling. Delivered the Explore Page Group By with aliasing, multi-aggregation, filters, and node-level selection; introduced sched_with_thread_process view for extended scheduling insights; hardened metrics and query semantics with null-value support and two-argument enforcement for SPAN_JOIN; fixed interval_intersector no-op bug. These changes enhance data exploration accuracy, reliability, and actionable observability for Perfetto users and developers.
February 2025
18 Commits • 2 Features
Feb 1, 2025February 2025: Focused on user-facing analytics capabilities, data integrity, and clearer error handling. Delivered the Explore Page Group By with aliasing, multi-aggregation, filters, and node-level selection; introduced sched_with_thread_process view for extended scheduling insights; hardened metrics and query semantics with null-value support and two-argument enforcement for SPAN_JOIN; fixed interval_intersector no-op bug. These changes enhance data exploration accuracy, reliability, and actionable observability for Perfetto users and developers.
January 2025
29 Commits • 5 Features
Jan 1, 2025January 2025 performance summary for google/perfetto focused on substantial UX enhancements, data exploration improvements, and integration of StructuredQuery with expanded data-source capabilities. The work delivered improves user productivity, data accessibility, and system reliability while expanding the product’s data-source ecosystem. Key features delivered: - Explore Page UI enhancements: file reorganization, node support, column renaming, persistent table rendering, popup-based operation selection, multi-join support, correct column picking, reset functionality, and scaffolding for multiple data sources. - Query Builder Core Development: initial draft of the Query Builder with support for non-trivial column types and cleanup of the query builder page. - StructuredQuery UI Integration: exposed StructuredQuery in the UI and wired access to AnalyzeStructuredQuery in the engine. - StructuredQuery and SQL enhancements: IS_NULL/IS_NOT_NULL support, SQL source support, preambles handling in StructuredQuery.Sql, and AnalyzeStructuredQuery returning referenced modules. - UI migration and data source expansion: migrate Explore Page to StructuredQuery usage and enable SimpleSlices UI and SQL data source support. Major bugs fixed: - SimpleSlices: ensured backend returns a well-defined schema. - UI/back-end Chores: optional SelectColumn alias support, Metrics v2 can return Nulls, fix for edge cases in parent_uuid handling, IntervalIntersect kLinearScan bug, and clearer error message when creating Perfetto Index. Overall impact and accomplishments: - Substantial improvement in data exploration UX and performance, enabling multi-source analysis and richer query capabilities. - Broadened data-source ecosystem (SQL data sources, SimpleSlices) and improved reliability across front-end and back-end layers. - Strengthened API surface and engine integration for StructuredQuery-based workflows, accelerating feature delivery and experimentation. Technologies/skills demonstrated: - Front-end UI/UX refactoring and React-like patterns for Explore Page, along with multi-join logic and dynamic data source scaffolding. - Backend/schema design and stabilization for SimpleSlices, plus robust query-building capabilities and StructuredQuery integration. - SQL integration, advanced query features (IS NULL/IS NOT NULL), API/RPC surface improvements, and module reference tracking in AnalyzeStructuredQuery.
29 Commits • 5 Features
Jan 1, 2025January 2025 performance summary for google/perfetto focused on substantial UX enhancements, data exploration improvements, and integration of StructuredQuery with expanded data-source capabilities. The work delivered improves user productivity, data accessibility, and system reliability while expanding the product’s data-source ecosystem. Key features delivered: - Explore Page UI enhancements: file reorganization, node support, column renaming, persistent table rendering, popup-based operation selection, multi-join support, correct column picking, reset functionality, and scaffolding for multiple data sources. - Query Builder Core Development: initial draft of the Query Builder with support for non-trivial column types and cleanup of the query builder page. - StructuredQuery UI Integration: exposed StructuredQuery in the UI and wired access to AnalyzeStructuredQuery in the engine. - StructuredQuery and SQL enhancements: IS_NULL/IS_NOT_NULL support, SQL source support, preambles handling in StructuredQuery.Sql, and AnalyzeStructuredQuery returning referenced modules. - UI migration and data source expansion: migrate Explore Page to StructuredQuery usage and enable SimpleSlices UI and SQL data source support. Major bugs fixed: - SimpleSlices: ensured backend returns a well-defined schema. - UI/back-end Chores: optional SelectColumn alias support, Metrics v2 can return Nulls, fix for edge cases in parent_uuid handling, IntervalIntersect kLinearScan bug, and clearer error message when creating Perfetto Index. Overall impact and accomplishments: - Substantial improvement in data exploration UX and performance, enabling multi-source analysis and richer query capabilities. - Broadened data-source ecosystem (SQL data sources, SimpleSlices) and improved reliability across front-end and back-end layers. - Strengthened API surface and engine integration for StructuredQuery-based workflows, accelerating feature delivery and experimentation. Technologies/skills demonstrated: - Front-end UI/UX refactoring and React-like patterns for Explore Page, along with multi-join logic and dynamic data source scaffolding. - Backend/schema design and stabilization for SimpleSlices, plus robust query-building capabilities and StructuredQuery integration. - SQL integration, advanced query features (IS NULL/IS NOT NULL), API/RPC surface improvements, and module reference tracking in AnalyzeStructuredQuery.
January 2025
December 2024
10 Commits • 3 Features
Dec 1, 2024December 2024: Core reliability and usability enhancements across Perfetto's codebase. Key outcomes include stabilizing module interoperability by removing problematic compile-time JOINID validation and enabling runtime/type validation for SQL objects, improving reliability when loading external modules (e.g., Chrometto, google3). Introduced and standardized core SQL types (ARGSETID, ID(table.column)) and enhanced metadata for docs/JSON outputs to improve schema clarity and integration. UI improvements reorganized and simplified table viewing: introduced SimpleColumn, unified openTable flows into a Chrometto plugin for maintainability, and improved handling of complex types. Android logs integration added android_logs table to the SQL prelude to make Android logcat entries queryable in trace processor. Across stdlib, tp, ui, and prelude, these changes deliver stronger cross-module compatibility, clearer schemas, and more maintainable code paths, positioning the project for faster iteration and better data analysis capabilities for customers.
December 2024
10 Commits • 3 Features
Dec 1, 2024December 2024: Core reliability and usability enhancements across Perfetto's codebase. Key outcomes include stabilizing module interoperability by removing problematic compile-time JOINID validation and enabling runtime/type validation for SQL objects, improving reliability when loading external modules (e.g., Chrometto, google3). Introduced and standardized core SQL types (ARGSETID, ID(table.column)) and enhanced metadata for docs/JSON outputs to improve schema clarity and integration. UI improvements reorganized and simplified table viewing: introduced SimpleColumn, unified openTable flows into a Chrometto plugin for maintainability, and improved handling of complex types. Android logs integration added android_logs table to the SQL prelude to make Android logcat entries queryable in trace processor. Across stdlib, tp, ui, and prelude, these changes deliver stronger cross-module compatibility, clearer schemas, and more maintainable code paths, positioning the project for faster iteration and better data analysis capabilities for customers.
November 2024
19 Commits • 5 Features
Nov 1, 2024November 2024 (2024-11) for google/perfetto: Focused on expanding SQL capabilities, improving stability, and boosting observability and developer productivity. Delivered new SQL data types and a robust type system, added a dedicated scheduling latency analysis module, and prototype UI integration for stdlib data. Cleaned up SQL exposure/docs, restored compatibility by reinstating the common library, and improved testing tooling with a quiet mode to reduce CI noise. Business value includes richer data modeling, quicker bottleneck identification, safer data exposure, and smoother developer workflows.
19 Commits • 5 Features
Nov 1, 2024November 2024 (2024-11) for google/perfetto: Focused on expanding SQL capabilities, improving stability, and boosting observability and developer productivity. Delivered new SQL data types and a robust type system, added a dedicated scheduling latency analysis module, and prototype UI integration for stdlib data. Cleaned up SQL exposure/docs, restored compatibility by reinstating the common library, and improved testing tooling with a quiet mode to reduce CI noise. Business value includes richer data modeling, quicker bottleneck identification, safer data exposure, and smoother developer workflows.
November 2024
October 2024
5 Commits • 3 Features
Oct 1, 2024Month 2024-10 focused on delivering user-visible UI capabilities, backend schema improvements, and documentation standardization for google/perfetto. Key features delivered improve trace exploration and data integrity; backend modernization reduces maintenance costs and enables more robust processing; documentation standardization enables easier downstream tooling and parsing.
October 2024
5 Commits • 3 Features
Oct 1, 2024Month 2024-10 focused on delivering user-visible UI capabilities, backend schema improvements, and documentation standardization for google/perfetto. Key features delivered improve trace exploration and data integrity; backend modernization reduces maintenance costs and enables more robust processing; documentation standardization enables easier downstream tooling and parsing.
Activity
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Quality Metrics
Correctness90.2%
Maintainability88.8%
Architecture87.8%
Performance80.2%
AI Usage20.0%
Skills & Technologies
Programming Languages
BPC++GNJavaJavaScriptProtoPythonSCSSSQLTypeScript
Technical Skills
API DesignAPI DevelopmentAlgorithm OptimizationBackend DevelopmentBug FixBug FixingBuild SystemBuild System ConfigurationBuild System ManagementC++C++ DevelopmentCode AnalysisCode GenerationCode OrganizationCode Refactoring
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