[jira] [Updated] (SPARK-6432) Cannot load parquet data with partitions if not all partition columns match data columns

["Yin Huai (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-6432?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Yin Huai updated SPARK-6432:
----------------------------
    Target Version/s: 1.5.0  (was: 1.4.0)

> Cannot load parquet data with partitions if not all partition columns match data columns
> ----------------------------------------------------------------------------------------
>
>                 Key: SPARK-6432
>                 URL: https://issues.apache.org/jira/browse/SPARK-6432
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 1.3.0, 1.3.1
>            Reporter: Jianshi Huang
>            Priority: Critical
>
> Suppose we have a dataset in the following folder structure:
> {noformat}
> parquet/source=live/date=2015-03-18/
> parquet/source=live/date=2015-03-19/
> ...
> {noformat}
> And the data schema has the following columns:
> - id
> - *event_date*
> - source
> - value
> Where partition key source matches data column source, but partition key date doesn't match any columns in data.
> Then we cannot load dataset in Spark using parquetFile. It reports:
> {code}
> org.apache.spark.sql.AnalysisException: Ambiguous references to source: (source#2,List()),(source#5,List());
> ...
> {code}
> Currently if partition columns has overlaps with data columns, partition columns have to be a subset of the data columns.
> Jianshi



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