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From Nirav Patel <npa...@xactlycorp.com>
Subject Document that explain how Kylin query, indexing, metadata engine works
Date Thu, 11 May 2017 22:09:59 GMT
I see there are documents that explains how kylin ingest hive tables and
build cubes/cuboids using MR and/or spark but there is nothing about how it
generates metadata about cubes/segments, how it builds indexes
(dictionaries, inverted index if any) and how that helps querying against
cubes stored on hbase. There are some slides/papers but they all date back
to 2014/15 which is quite old.

Are there any recent documents/articles on these ?

Thanks

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