Document that explain how Kylin query, indexing, metadata engine works
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 ?