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https://issues.apache.org/jira/browse/SPARK-6432?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Cheng Lian updated SPARK-6432:
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Priority: Critical (was: Major)
> 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
> Assignee: Cheng Lian
> 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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