You are viewing a plain text version of this content. The canonical link for it is here.

Posted to issues@kudu.apache.org by "Andrew Manlove (JIRA)" <ji...@apache.org> on 2016/11/21 21:19:58 UTC

[jira] [Comment Edited] (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:comment-tabpanel&focusedCommentId=15684753#comment-15684753 ] 

Andrew Manlove edited comment on KUDU-1493 at 11/21/16 9:19 PM:
----------------------------------------------------------------

Here's a gerrit review again with the style nit and for mergability https://gerrit.cloudera.org/#/c/5167/


was (Author: ajmanlove):
Here's a gerri review again with the style nit and for mergability https://gerrit.cloudera.org/#/c/5167/

> 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: Andy Grove
>
> 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.



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)