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https://issues.apache.org/jira/browse/KYLIN-2217?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15823176#comment-15823176
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XIE FAN commented on KYLIN-2217:
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Yes, but this kind of merge is a costly procedure and it is equals to rebuild
the whole dictionary again. If we merge dictionaries in the job node, it is the
same as building the dictionary twice(in reducers and in the job node).
> Reducers build dictionaries locally
> -----------------------------------
>
> Key: KYLIN-2217
> URL: https://issues.apache.org/jira/browse/KYLIN-2217
> Project: Kylin
> Issue Type: Improvement
> Affects Versions: v1.5.4.1
> Reporter: XIE FAN
> Assignee: XIE FAN
> Fix For: v2.0.0
>
> Attachments: 0001-KYLIN-2217-Reducers-build-dictionaries-locally.patch
>
>
> In KYLIN-1851, we reduce the peek memory usage of the dictionary-building
> procedure by splitting a single Trie tree structure to Trie forest. But there
> still exist a bottleneck that all the dictionaries are built in Kylin client.
> In this issue, we want to use multi reducers to build different dictionaries
> locally and concurrently，which can further reduce the peek memory usage as
> well as speed up the dictionary-building procedure.
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