
Over five months, Greg Haskins contributed to prestodb/presto and oap-project/velox, focusing on distributed query processing and data engineering. He built end-to-end delete support, including protocol integration and async commit workflows, and enhanced Hive data writes with pluggable file naming and identity-based bucketing. Using C++, Java, and SQL, Greg implemented protocol serialization for DeleteNode objects, optimized query planning by making row ID projections optional, and improved build reliability through conditional Spark module loading. His work demonstrated depth in backend development, system integration, and database internals, delivering maintainable solutions that improved performance, flexibility, and operational observability across complex data systems.

Month: 2025-09 – Prestodb/presto Key features delivered: - Added ConnectorMetadata.finishDeleteWithOutput() to enable logging of DELETE outputs with output metadata, while preserving backward compatibility via default delegation to finishDelete. Commit: 63ac5c67a06f24f2080ca6d70346981fa22704ca (#26134). - Fixed Reliable Spark Module Inclusion Logic to correctly conditionally include Spark2 and Spark3 modules, preventing conflicts during build/run. Commit: 9c5004f0a4ed6de3727696a431583a7294dc28ba. Major bugs fixed: - Resolved the Spark module inclusion conflict between Spark2 and Spark3, reducing build failures and runtime errors and improving CI stability. Overall impact and accomplishments: - Improved build reliability and observability for DELETE operations, enabling better auditing and operational insight. API change was backward compatible, minimizing disruption to existing integrations. - Demonstrated strong maintainability through careful API design, backward-compatibility considerations, and robust module-loading logic, contributing to smoother development workflows. Technologies/skills demonstrated: - Java interface design and backward compatibility, logging/observability, conditional module loading, and build-system reliability. Experience with Spark ecosystem module interactions and commit-based code management (Git).
Month: 2025-09 – Prestodb/presto Key features delivered: - Added ConnectorMetadata.finishDeleteWithOutput() to enable logging of DELETE outputs with output metadata, while preserving backward compatibility via default delegation to finishDelete. Commit: 63ac5c67a06f24f2080ca6d70346981fa22704ca (#26134). - Fixed Reliable Spark Module Inclusion Logic to correctly conditionally include Spark2 and Spark3 modules, preventing conflicts during build/run. Commit: 9c5004f0a4ed6de3727696a431583a7294dc28ba. Major bugs fixed: - Resolved the Spark module inclusion conflict between Spark2 and Spark3, reducing build failures and runtime errors and improving CI stability. Overall impact and accomplishments: - Improved build reliability and observability for DELETE operations, enabling better auditing and operational insight. API change was backward compatible, minimizing disruption to existing integrations. - Demonstrated strong maintainability through careful API design, backward-compatibility considerations, and robust module-loading logic, contributing to smoother development workflows. Technologies/skills demonstrated: - Java interface design and backward compatibility, logging/observability, conditional module loading, and build-system reliability. Experience with Spark ecosystem module interactions and commit-based code management (Git).
June 2025 monthly summary for prestodb/presto development: Key feature delivered: - Delete Query Planning: Optional row_id projection. Implemented in prestodb/presto to allow omitting the row ID projection when a connector does not require it, reducing overhead in DELETE plans and improving planning/execution efficiency. Major bugs fixed: - No major bugs fixed this month. Overall impact and accomplishments: - Increased query planning efficiency and connector flexibility for DELETE operations, enabling faster plan generation and reduced data processing, with better performance characteristics across supported connectors. Technologies and skills demonstrated: - Planner-level feature design and conditional projection, careful incremental change with a focused commit (Make rowid optional in DELETE query plan). Demonstrated version-control discipline, impact assessment, and cross-team collaboration to deliver a targeted optimization.
June 2025 monthly summary for prestodb/presto development: Key feature delivered: - Delete Query Planning: Optional row_id projection. Implemented in prestodb/presto to allow omitting the row ID projection when a connector does not require it, reducing overhead in DELETE plans and improving planning/execution efficiency. Major bugs fixed: - No major bugs fixed this month. Overall impact and accomplishments: - Increased query planning efficiency and connector flexibility for DELETE operations, enabling faster plan generation and reduced data processing, with better performance characteristics across supported connectors. Technologies and skills demonstrated: - Planner-level feature design and conditional projection, careful incremental change with a focused commit (Make rowid optional in DELETE query plan). Demonstrated version-control discipline, impact assessment, and cross-team collaboration to deliver a targeted optimization.
April 2025 focused on delivering Hive data write enhancements in Velox, including a pluggable file naming strategy and identity-based bucketing for Hive writes. Implemented FileNameGenerator to decouple file naming from HiveDataSink and added HiveIdentityPartitionFunction to compute bucket IDs from a specified column. Refactored HiveDataSink to integrate the new partitioning, enabling flexible and maintainable file naming and bucketing for INSERT and DELETE workloads.
April 2025 focused on delivering Hive data write enhancements in Velox, including a pluggable file naming strategy and identity-based bucketing for Hive writes. Implemented FileNameGenerator to decouple file naming from HiveDataSink and added HiveIdentityPartitionFunction to compute bucket IDs from a specified column. Refactored HiveDataSink to integrate the new partitioning, enabling flexible and maintainable file naming and bucketing for INSERT and DELETE workloads.
March 2025 monthly summary for prestodb/presto highlighting key feature deliveries, reliability improvements, and business impact. Focused on enabling end-to-end delete operations with Velox integration and improving protocol handling for robustness and compatibility.
March 2025 monthly summary for prestodb/presto highlighting key feature deliveries, reliability improvements, and business impact. Focused on enabling end-to-end delete operations with Velox integration and improving protocol handling for robustness and compatibility.
Month: 2024-12. Focused feature delivery in prestodb/presto with the addition of DeleteNode JSON serialization support to presto_protocol to enable correct serialization/deserialization of DeleteNode objects across distributed query processing and plan management. This work aligns protocol definitions with evolving query planning requirements and reduces risk of plan serialization errors.
Month: 2024-12. Focused feature delivery in prestodb/presto with the addition of DeleteNode JSON serialization support to presto_protocol to enable correct serialization/deserialization of DeleteNode objects across distributed query processing and plan management. This work aligns protocol definitions with evolving query planning requirements and reduces risk of plan serialization errors.
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