nfarah86 commented on code in PR #10658: URL: https://github.com/apache/hudi/pull/10658#discussion_r1503591192
########## website/docs/indexing.md: ########## @@ -27,27 +27,18 @@ could end up having to merge all the base files against all incoming updates/del 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 records against keys extracted from the table on - storage. Key uniqueness is enforced inside partitions. -- **GLOBAL_SIMPLE:** Performs a lean join of the incoming records against keys extracted from the table on - storage. Key uniqueness is enforced across all partitions in the table. -- **HBASE:** Manages the index mapping in an external Apache HBase table. +- **BLOOM:** Uses bloom filters generated from record keys, with the option to further narrow down candidate files based on the ranges of the record keys. It requires keys to be partition-level or table/global-level unique so it can function correctly. Review Comment: I understand- the indexes should be updated now -- 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]
