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https://issues.apache.org/jira/browse/KUDU-1493?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15347747#comment-15347747
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Andy Grove commented on KUDU-1493:
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Hi Tom,
I've been reviewing this and I'm not totally clear on the issue still. However,
I did spot a bug in the read method where the column projection is used to
determine the number of fields, but the get(i: Int) method totally ignores the
column projection apparently. I'm going to look at that over the weekend.
>From your follow-up comment it looks like the original bug report is not
>correct though?
Thanks,
Andy.
> 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
>
> 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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