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Shaofeng SHI commented on KYLIN-3491: ------------------------------------- Can this work in the Spark cube engine? > Improve the cube building process when using global dictionary > -------------------------------------------------------------- > > Key: KYLIN-3491 > URL: https://issues.apache.org/jira/browse/KYLIN-3491 > Project: Kylin > Issue Type: Improvement > Components: Job Engine > Reporter: Zhong Yanghong > Assignee: Zhong Yanghong > Priority: Major > Fix For: v2.5.0 > > Attachments: APACHE-KYLIN-3491.patch > > > By current cubing process, if the global dictionary is very large, since the > raw data records are unsorted, it's hard to encode raw values into ids for > the input of bitmap due to frequent swap of the dictionary slices. We need a > refined process. The idea is as follows: > # for each source data block, there will be a mapper generating the distinct > values & sort them > # encode the sorted distinct values and generate a shrunken dict for each > source data block. > # when building base cuboid, use the shrunken dict for each source data > block for encoding. -- This message was sent by Atlassian JIRA (v7.6.3#76005)