
Heidi Han developed advanced data processing and analytics features in the oap-project/velox and facebookincubator/velox repositories, focusing on type system extensibility and robust cardinality estimation. She engineered end-to-end support for BigintEnum and VarcharEnum types, integrating them with Presto and enhancing query expressiveness. Her work on KHyperLogLog introduced scalable cardinality estimation, including aggregate and scalar functions, with templated C++ and allocator-based memory management. Heidi refactored core parsing and error handling logic, improved test reliability, and maintained build system hygiene. Using C++, SQL, and parser development, she delivered maintainable, well-tested solutions that improved reliability, performance, and developer experience across distributed analytics workflows.
February 2026 (2026-02) performance summary for facebookincubator/velox: Focused on stabilizing test reliability for KHyperLogLog (KHLL). Delivered a targeted fix to reduce flakiness in the KHLL uniquenessDistribution test by adjusting the tolerance for bucket comparisons when the expected count is low, replacing strict zero tolerance with a robust 2/size tolerance. The change reduces CI noise and accelerates development velocity for KHLL-related features.
February 2026 (2026-02) performance summary for facebookincubator/velox: Focused on stabilizing test reliability for KHyperLogLog (KHLL). Delivered a targeted fix to reduce flakiness in the KHLL uniquenessDistribution test by adjusting the tolerance for bucket comparisons when the expected count is low, replacing strict zero tolerance with a robust 2/size tolerance. The change reduces CI noise and accelerates development velocity for KHLL-related features.
December 2025: Delivered end-to-end KHyperLogLog (KHLL) enablement in Velox, focusing on core refactors, utilities, aggregates, and scalar UDFs, with a strong emphasis on performance, reliability, and reusable abstractions. KHLL work establishes scalable cardinality estimation for large datasets and distributed queries, with robust build/test integration. Key impacts include: 1) KHLL core refactor and templating enabling reuse and performance (HllAccumulator moved to HllUtils and templated with TAllocator); 2) KHLL utilities added to improve cardinality estimation; 3) KHLL aggregates introduced via khyperloglog_agg with merge support; 4) KHLL scalar UDFs added for practical analytics (intersection_cardinality, jaccard_index, uniqueness_distribution, reidentification_potential, merge_khll); 5) robustness and correctness improvements (deserialize now returns Status; explicit int64->double conversions fixed); and 6) build/testing and compatibility improvements to ensure reliable CI and fuzzing alignment. Technologies/skills demonstrated include: C++, template programming, allocator-based memory management, distributed aggregation design, UDF framework integration, build system (CMake) improvements, and rigorous testing practices for correctness and reliability.
December 2025: Delivered end-to-end KHyperLogLog (KHLL) enablement in Velox, focusing on core refactors, utilities, aggregates, and scalar UDFs, with a strong emphasis on performance, reliability, and reusable abstractions. KHLL work establishes scalable cardinality estimation for large datasets and distributed queries, with robust build/test integration. Key impacts include: 1) KHLL core refactor and templating enabling reuse and performance (HllAccumulator moved to HllUtils and templated with TAllocator); 2) KHLL utilities added to improve cardinality estimation; 3) KHLL aggregates introduced via khyperloglog_agg with merge support; 4) KHLL scalar UDFs added for practical analytics (intersection_cardinality, jaccard_index, uniqueness_distribution, reidentification_potential, merge_khll); 5) robustness and correctness improvements (deserialize now returns Status; explicit int64->double conversions fixed); and 6) build/testing and compatibility improvements to ensure reliable CI and fuzzing alignment. Technologies/skills demonstrated include: C++, template programming, allocator-based memory management, distributed aggregation design, UDF framework integration, build system (CMake) improvements, and rigorous testing practices for correctness and reliability.
November 2025 monthly summary focused on Velox feature work and business impact. Delivered a new KHyperLogLog custom type to enhance analytics and cardinality estimation on large datasets. Implemented tests and type registration to ensure seamless integration with the existing Velox type system and query engine. Code changes are captured in commit c13d6695a8449092453d8551abbb1a2b454520e3, associated with PR #15199 and differential revision D84854998, reviewed by natashasehgal. Groundwork laid for subsequent KHyperLogLog-specific functions and optimizations in upcoming diffs.
November 2025 monthly summary focused on Velox feature work and business impact. Delivered a new KHyperLogLog custom type to enhance analytics and cardinality estimation on large datasets. Implemented tests and type registration to ensure seamless integration with the existing Velox type system and query engine. Code changes are captured in commit c13d6695a8449092453d8551abbb1a2b454520e3, associated with PR #15199 and differential revision D84854998, reviewed by natashasehgal. Groundwork laid for subsequent KHyperLogLog-specific functions and optimizations in upcoming diffs.
October 2025: Focused on expanding TypeParser resilience for enum type names and improving parsing fidelity across complex type signatures. Implemented a robust update to TypeParser to support special characters in enum names, aligned with Presto Java TypeSignature.parseTypeSignature, and reinforced parsing rules with updated lexer/parser and tests. This work underpins accurate query planning and reduces parsing-related failures when handling complex type definitions.
October 2025: Focused on expanding TypeParser resilience for enum type names and improving parsing fidelity across complex type signatures. Implemented a robust update to TypeParser to support special characters in enum names, aligned with Presto Java TypeSignature.parseTypeSignature, and reinforced parsing rules with updated lexer/parser and tests. This work underpins accurate query planning and reduces parsing-related failures when handling complex type definitions.
September 2025 monthly summary for oap-project/velox. Focused on reliability improvements in numeric parsing and expanding enum-based typing to support analytics workloads. Delivered a fix for integer parsing overflow and introduced VarcharEnum type support across the type system and Presto integration, with tests and expanded compatibility. This work enhances data correctness, modeling flexibility, and Presto query reliability.
September 2025 monthly summary for oap-project/velox. Focused on reliability improvements in numeric parsing and expanding enum-based typing to support analytics workloads. Delivered a fix for integer parsing overflow and introduced VarcharEnum type support across the type system and Presto integration, with tests and expanded compatibility. This work enhances data correctness, modeling flexibility, and Presto query reliability.
August 2025 (Month: 2025-08) delivered end-to-end BigintEnum support in Velox, enabling robust use of large-range enumerations in analytics workloads. The work included a new BigintEnum type with registration, handling, and casting, plus parsing support for BigintEnumType strings. The integration with SignatureBinder now allows BigintEnum as a function argument, enabling safer and more expressive queries. A new enum_key function was added to retrieve the string representation of enum values, simplifying downstream reporting and UI labeling. To support long-term maintainability and PrestoSQL compatibility, the type parsing path was refactored and relocated to a centralized module (functions/prestosql/types/parser), and new type parameter kinds (kLongEnumLiteral, kVarcharEnumLiteral) were introduced to support enum literals and parameterization. These changes lay the groundwork for future extension and easier maintenance across the Velox-PrestoSQL bridge. Impact and value: Enhanced type safety and query expressiveness for enum values reduces runtime errors and casting surprises, enabling analytics teams to model and compare large enumerations directly in their queries. The refactor improves developer velocity and maintainability by modularizing the type system and aligning with PrestoSQL conventions. Technologies/skills demonstrated: advanced type system design, parser modularization, module refactor for PrestoSQL alignment, function binding integration (SignatureBinder), and UDF extension (enum_key).
August 2025 (Month: 2025-08) delivered end-to-end BigintEnum support in Velox, enabling robust use of large-range enumerations in analytics workloads. The work included a new BigintEnum type with registration, handling, and casting, plus parsing support for BigintEnumType strings. The integration with SignatureBinder now allows BigintEnum as a function argument, enabling safer and more expressive queries. A new enum_key function was added to retrieve the string representation of enum values, simplifying downstream reporting and UI labeling. To support long-term maintainability and PrestoSQL compatibility, the type parsing path was refactored and relocated to a centralized module (functions/prestosql/types/parser), and new type parameter kinds (kLongEnumLiteral, kVarcharEnumLiteral) were introduced to support enum literals and parameterization. These changes lay the groundwork for future extension and easier maintenance across the Velox-PrestoSQL bridge. Impact and value: Enhanced type safety and query expressiveness for enum values reduces runtime errors and casting surprises, enabling analytics teams to model and compare large enumerations directly in their queries. The refactor improves developer velocity and maintainability by modularizing the type system and aligning with PrestoSQL conventions. Technologies/skills demonstrated: advanced type system design, parser modularization, module refactor for PrestoSQL alignment, function binding integration (SignatureBinder), and UDF extension (enum_key).
Monthly summary for 2025-07 (oap-project/velox): Delivered two key code improvements that enhance reliability and maintainability, with measurable impact on build cleanliness and developer onboarding.
Monthly summary for 2025-07 (oap-project/velox): Delivered two key code improvements that enhance reliability and maintainability, with measurable impact on build cleanliness and developer onboarding.
May 2025: Delivered three focused updates in oap-project/velox that enhance reliability, correctness, and user experience. Refactored error handling to present user-facing messages for invalid input during Velox expression casting, added precise unescaping for JSON elements in array_join, and robustly handled edge cases for Array_min_by / Array_max_by with accompanying unit tests. These changes reduce support load, improve data quality for downstream analytics, and demonstrate strong C++ error handling, JSON processing, and test coverage.
May 2025: Delivered three focused updates in oap-project/velox that enhance reliability, correctness, and user experience. Refactored error handling to present user-facing messages for invalid input during Velox expression casting, added precise unescaping for JSON elements in array_join, and robustly handled edge cases for Array_min_by / Array_max_by with accompanying unit tests. These changes reduce support load, improve data quality for downstream analytics, and demonstrate strong C++ error handling, JSON processing, and test coverage.
Monthly work summary for 2025-04 focusing on delivering a mapping from system config request_data_sizes_max_wait_sec to the query configuration within prestodb/presto, updates to query context management, and tests. This feature ensures the maximum wait time for data sizes is correctly applied to query contexts, improving reliability for large result sets and performance predictability. Key changes include code updates to the main query context manager and accompanying tests. Commit: 93a4521cf970141f8543730e0aee28d78749f06a (PR #24977).
Monthly work summary for 2025-04 focusing on delivering a mapping from system config request_data_sizes_max_wait_sec to the query configuration within prestodb/presto, updates to query context management, and tests. This feature ensures the maximum wait time for data sizes is correctly applied to query contexts, improving reliability for large result sets and performance predictability. Key changes include code updates to the main query context manager and accompanying tests. Commit: 93a4521cf970141f8543730e0aee28d78749f06a (PR #24977).
March 2025 highlights for oap-project/velox: delivered three key capabilities that improve tunability, testing fidelity, and library functionality. The changes enable session-property controlled timeouts for exchange requests related to data sizes; introduce a realistic phone number input generator for fuzz testing; and extend Velox with array_max_by and array_min_by utilities with multi-type support and tests. These workstreams enhance reliability, flexibility, and coverage across data processing and testing pipelines.
March 2025 highlights for oap-project/velox: delivered three key capabilities that improve tunability, testing fidelity, and library functionality. The changes enable session-property controlled timeouts for exchange requests related to data sizes; introduce a realistic phone number input generator for fuzz testing; and extend Velox with array_max_by and array_min_by utilities with multi-type support and tests. These workstreams enhance reliability, flexibility, and coverage across data processing and testing pipelines.
February 2025 — Velox writer fuzzer enhancement delivering overlapping bucket and sort columns support, expanding test coverage for sorting and bucketing. Implemented generateSortColumns to handle selection of overlapping and new sort columns, broadening fuzzing scenarios. The primary commit enabling this feature is 710d4492687e86d17e496f3d65f16d6b6ea7881f (feat(fuzzer): Allow bucket columns to overlap as sort columns in writer fuzzer). No major bug fixes reported this month.
February 2025 — Velox writer fuzzer enhancement delivering overlapping bucket and sort columns support, expanding test coverage for sorting and bucketing. Implemented generateSortColumns to handle selection of overlapping and new sort columns, broadening fuzzing scenarios. The primary commit enabling this feature is 710d4492687e86d17e496f3d65f16d6b6ea7881f (feat(fuzzer): Allow bucket columns to overlap as sort columns in writer fuzzer). No major bug fixes reported this month.
2024-11 Monthly Summary (Velox project) - Focused on enabling JSON-aware analysis by delivering ArrayJoin support for JSON types, expanding data processing capabilities for JSON data, alongside solid test coverage and type integration.
2024-11 Monthly Summary (Velox project) - Focused on enabling JSON-aware analysis by delivering ArrayJoin support for JSON types, expanding data processing capabilities for JSON data, alongside solid test coverage and type integration.

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