
Developed and delivered RowCounter delete-marker counting features for both the apache/hbase and HubSpot/hbase repositories, enhancing data visibility and troubleshooting capabilities for HBase users. Leveraging Java, HBase, and MapReduce, the work introduced new command-line options and updated the RowCounter tool to quantify and classify various delete marker types within HBase rows. The implementation included updates to the Mapper logic and comprehensive unit tests to validate the new functionality, ensuring reliability and accuracy. This cross-repository effort improved observability for operators and data teams, laying a foundation for more granular analytics on deletion semantics and supporting better data governance practices.
December 2024: Implemented RowCounter delete-marker counting across two HBase forks to improve data visibility and troubleshooting. Apache/hbase introduced a new CLI option to count delete-marker types, updated Mapper to classify marker types, and added tests validating the option. HubSpot/hbase added a corresponding RowCounter delete-marker counting option, updated RowCounter.java to maintain per-type counters, and included unit tests (testRowCounterWithCountDeleteMarkersOption). These changes provide richer metrics for deletion semantics and improve observability for operators and data teams. The work demonstrates strong cross-repo collaboration, testing discipline, and a solid foundation for future analytics on delete operations.
December 2024: Implemented RowCounter delete-marker counting across two HBase forks to improve data visibility and troubleshooting. Apache/hbase introduced a new CLI option to count delete-marker types, updated Mapper to classify marker types, and added tests validating the option. HubSpot/hbase added a corresponding RowCounter delete-marker counting option, updated RowCounter.java to maintain per-type counters, and included unit tests (testRowCounterWithCountDeleteMarkersOption). These changes provide richer metrics for deletion semantics and improve observability for operators and data teams. The work demonstrates strong cross-repo collaboration, testing discipline, and a solid foundation for future analytics on delete operations.

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