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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2015/06/06 08:16:00 UTC
[jira] [Commented] (SPARK-8138) Error message for discovered
conflicting partition columns is not intuitive
[ https://issues.apache.org/jira/browse/SPARK-8138?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14575609#comment-14575609 ]
Apache Spark commented on SPARK-8138:
-------------------------------------
User 'liancheng' has created a pull request for this issue:
https://github.com/apache/spark/pull/6610
> Error message for discovered conflicting partition columns is not intuitive
> ---------------------------------------------------------------------------
>
> Key: SPARK-8138
> URL: https://issues.apache.org/jira/browse/SPARK-8138
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 1.3.0, 1.3.1, 1.4.0
> Reporter: Cheng Lian
> Assignee: Cheng Lian
> Priority: Minor
>
> For data stored as a Hive-style partitioned table, data files should only live in leaf partition directories.
> For example, the following directory layout is illegal:
> {noformat}
> .
> ├── _SUCCESS
> ├── b=0
> │ ├── c=0
> │ │ └── part-r-00004.gz.parquet
> │ └── part-r-00004.gz.parquet
> └── b=1
> ├── c=1
> │ └── part-r-00008.gz.parquet
> └── part-r-00008.gz.parquet
> {noformat}
> For now, we give an unintuitive error message like this:
> {noformat}
> Conflicting partition column names detected:
> ArrayBuffer(b, c)
> ArrayBuffer(b)
> {noformat}
> This should be improved.
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