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 -- [image: What's New with Xactly] <http://www.xactlycorp.com/email-click/> <https://www.nyse.com/quote/XNYS:XTLY> [image: LinkedIn] <https://www.linkedin.com/company/xactly-corporation> [image: Twitter] <https://twitter.com/Xactly> [image: Facebook] <https://www.facebook.com/XactlyCorp> [image: YouTube] <http://www.youtube.com/xactlycorporation>
