
Drew Farris developed advanced search and analytics features for the NationalSecurityAgency/datawave repository, focusing on scalable keyword extraction, tag cloud generation, and robust query processing. He integrated the YAKE! algorithm for automated keyword extraction, implemented locale-aware enhancements, and refactored core Java components for maintainability and accuracy. His work included designing API schemas with Protocol Buffers, improving Lucene query tokenization, and enabling JSON POST payloads for the Query API using custom Jackson deserialization. By addressing data normalization, error handling, and internationalization, Drew delivered reliable, extensible backend solutions that improved search relevance, content discoverability, and annotation management across large document corpora.

September 2025: Delivered the foundational Datawave Annotations Foundation and API Schema for the NationalSecurityAgency/datawave repository, establishing the base data model, API scaffolding, and documentation to support annotation management APIs and future enhancements. The release includes table schemas, protocol buffer files, generated Java code, and JSON schema definitions to enable scalable annotation governance and downstream API development. The initial commit 84143c74f332da604bc95c2c82fad9143be80e59 (#3169) is recorded. No major bug fixes this month; the work focused on building a robust foundation to accelerate value in subsequent sprints.
September 2025: Delivered the foundational Datawave Annotations Foundation and API Schema for the NationalSecurityAgency/datawave repository, establishing the base data model, API scaffolding, and documentation to support annotation management APIs and future enhancements. The release includes table schemas, protocol buffer files, generated Java code, and JSON schema definitions to enable scalable annotation governance and downstream API development. The initial commit 84143c74f332da604bc95c2c82fad9143be80e59 (#3169) is recorded. No major bug fixes this month; the work focused on building a robust foundation to accelerate value in subsequent sprints.
July 2025 monthly summary for NationalSecurityAgency/datawave. Delivered a new JSON POST payload capability for the Datawave Query API, enabling clients to POST JSON payloads directly. Implemented a custom Jackson deserializer to convert flat JSON objects into the MultivaluedMap format required by the QueryExecutorBean and added a quickstart test to validate JSON POST payloads in end-to-end scenarios. This improves API usability for JSON-based clients and reduces client-side adaptation work, paving the way for broader JSON-first integrations.
July 2025 monthly summary for NationalSecurityAgency/datawave. Delivered a new JSON POST payload capability for the Datawave Query API, enabling clients to POST JSON payloads directly. Implemented a custom Jackson deserializer to convert flat JSON objects into the MultivaluedMap format required by the QueryExecutorBean and added a quickstart test to validate JSON POST payloads in end-to-end scenarios. This improves API usability for JSON-based clients and reduces client-side adaptation work, paving the way for broader JSON-first integrations.
June 2025 performance summary for NationalSecurityAgency/datawave: Delivered substantial enhancements to tag cloud visibility and keyword extraction for improved data visibility, reliability, and user insights. Key work included visibility data merging with TagCloudUtils support, robustness fixes across tag clouds and keyword extraction, locale-aware improvements for keyword processing, and readability-focused refactoring of the extraction algorithm. These changes enhance visibility accuracy, scalability of tag clouds, and maintainability of the codebase, driving better search relevance and business value.
June 2025 performance summary for NationalSecurityAgency/datawave: Delivered substantial enhancements to tag cloud visibility and keyword extraction for improved data visibility, reliability, and user insights. Key work included visibility data merging with TagCloudUtils support, robustness fixes across tag clouds and keyword extraction, locale-aware improvements for keyword processing, and readability-focused refactoring of the extraction algorithm. These changes enhance visibility accuracy, scalability of tag clouds, and maintainability of the codebase, driving better search relevance and business value.
May 2025 monthly summary for NationalSecurityAgency/datawave. Focused on delivering end-to-end keyword extraction and tag cloud generation to improve content discovery, search relevance, and analytics. Implemented KeywordUUIDQuery to chain UUID lookups with keyword extraction and TagCloudResponse to manage per-document and aggregated tag clouds. Completed refactors of keyword extraction logic, added tag cloud management classes, and enhanced quickstart data, content handling, and keyword extraction configuration. While no major bugs documented this month, the feature work laid a foundation for scalable tagging and analytics across large document corpora, delivering measurable business value through improved discoverability and insights.
May 2025 monthly summary for NationalSecurityAgency/datawave. Focused on delivering end-to-end keyword extraction and tag cloud generation to improve content discovery, search relevance, and analytics. Implemented KeywordUUIDQuery to chain UUID lookups with keyword extraction and TagCloudResponse to manage per-document and aggregated tag clouds. Completed refactors of keyword extraction logic, added tag cloud management classes, and enhanced quickstart data, content handling, and keyword extraction configuration. While no major bugs documented this month, the feature work laid a foundation for scalable tagging and analytics across large document corpora, delivering measurable business value through improved discoverability and insights.
April 2025 — Delivered a Keyword Extraction capability for Datawave by integrating the YAKE! algorithm. Implemented end-to-end extraction workflow with new Java classes for keyword extraction, configuration, and iterator logic, complemented by comprehensive unit and regression tests. Feature is configurable via parameters for n-gram size, keyword count, and score thresholds, enabling scalable metadata enrichment and improved search relevance across document corpora. The work lays the foundation for automated keyword-based search and analytics in Datawave.
April 2025 — Delivered a Keyword Extraction capability for Datawave by integrating the YAKE! algorithm. Implemented end-to-end extraction workflow with new Java classes for keyword extraction, configuration, and iterator logic, complemented by comprehensive unit and regression tests. Feature is configurable via parameters for n-gram size, keyword count, and score thresholds, enabling scalable metadata enrichment and improved search relevance across document corpora. The work lays the foundation for automated keyword-based search and analytics in Datawave.
March 2025 performance summary for NationalSecurityAgency/datawave: Delivered targeted fixes and tests for ContentQueryLogic, improving query correctness and reliability. Key work focused on numeric-prefixed field handling and automated functional testing, with positive business impact on data normalization accuracy and query results reliability.
March 2025 performance summary for NationalSecurityAgency/datawave: Delivered targeted fixes and tests for ContentQueryLogic, improving query correctness and reliability. Key work focused on numeric-prefixed field handling and automated functional testing, with positive business impact on data normalization accuracy and query results reliability.
February 2025: Focused on correctness and reliability in query parsing for NationalSecurityAgency/datawave. Implemented a targeted bug fix to slop reduction in phrase queries when tokens are removed, and added tests to guard against regressions. The change improves search accuracy and user trust by preventing false positives/negatives in phrase matching.
February 2025: Focused on correctness and reliability in query parsing for NationalSecurityAgency/datawave. Implemented a targeted bug fix to slop reduction in phrase queries when tokens are removed, and added tests to guard against regressions. The change improves search accuracy and user trust by preventing false positives/negatives in phrase matching.
Monthly summary for 2024-11 focused on NationalSecurityAgency/datawave. This period delivered a feature enhancement to Lucene query tokenization to support multiple token variants at the same position, improving search accuracy for analyzers that yield alternate tokens at a single position. The work included introducing VariantBuilder to manage multiple token variants and refactoring tokenizeNode to handle variants while preserving the original query node and its potential variations. Unit tests were updated to cover the new variant-aware path. No explicit major bug fixes were reported this month; stability was improved through targeted refactoring and test coverage.
Monthly summary for 2024-11 focused on NationalSecurityAgency/datawave. This period delivered a feature enhancement to Lucene query tokenization to support multiple token variants at the same position, improving search accuracy for analyzers that yield alternate tokens at a single position. The work included introducing VariantBuilder to manage multiple token variants and refactoring tokenizeNode to handle variants while preserving the original query node and its potential variations. Unit tests were updated to cover the new variant-aware path. No explicit major bug fixes were reported this month; stability was improved through targeted refactoring and test coverage.
Overview of all repositories you've contributed to across your timeline