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https://issues.apache.org/jira/browse/KUDU-1493?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15346557#comment-15346557
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Tom White commented on KUDU-1493:
---------------------------------
Looking at this more, my code fails because I assumed that the dataframe schema
used to read was the same as the one that was used to write. Using the one from
the dataframe being read allows it to work. Maybe this needs documenting at
least?
> 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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