bhasudha commented on code in PR #9346: URL: https://github.com/apache/hudi/pull/9346#discussion_r1291674781
########## website/docs/indexing.md: ########## @@ -20,34 +24,90 @@ _Figure: Comparison of merge cost for updates (yellow blocks) against base files ## Index Types in Hudi -Currently, Hudi supports the following indexing options. - -- **Bloom Index (default):** Employs bloom filters built out of the record keys, optionally also pruning candidate files using record key ranges. -- **Simple Index:** Performs a lean join of the incoming update/delete records against keys extracted from the table on storage. -- **HBase Index:** Manages the index mapping in an external Apache HBase table. +Currently, Hudi supports the following index types. Default is SIMPLE on Spark engine, and INMEMORY on Flink and Java +engines. + +- **BLOOM:** Employs bloom filters built out of the record keys, optionally also pruning candidate files using + record key ranges.Key uniqueness is enforced inside partitions. +- **GLOBAL_BLOOM:** Employs bloom filters built out of the record keys, optionally also pruning candidate files using + record key ranges. Key uniqueness is enforced across all partitions in the table. +- **SIMPLE (default for Spark engines):** Default index type for spark engine. Performs a lean join of the incoming update/delete records against keys extracted from the table on Review Comment: makes sense. Will fix. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
