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Posted to issues@kudu.apache.org by "Will Berkeley (JIRA)" <ji...@apache.org> on 2017/05/10 20:39:04 UTC

[jira] [Resolved] (KUDU-1493) Spark read fails if key columns are not leading columns

     [ https://issues.apache.org/jira/browse/KUDU-1493?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Will Berkeley resolved KUDU-1493.
---------------------------------
       Resolution: Fixed
    Fix Version/s: 1.2.0

This was done a while ago in 69f2619d059e6aeb45f947b8367069b12f3b1bb9

> Spark read fails if key columns are not leading columns
> -------------------------------------------------------
>
>                 Key: KUDU-1493
>                 URL: https://issues.apache.org/jira/browse/KUDU-1493
>             Project: Kudu
>          Issue Type: Bug
>          Components: spark
>    Affects Versions: 0.9.0
>            Reporter: Tom White
>            Assignee: Will Berkeley
>             Fix For: 1.2.0
>
>
> If the Spark dataframe schema is (A, B, C) then reading will fail if the Kudu keys are (A, C). Keys (A, B) work fine.



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