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https://issues.apache.org/jira/browse/SPARK-8000?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen updated SPARK-8000:
-----------------------------
    Affects Version/s: 2.0.0
           Issue Type: Improvement  (was: Sub-task)
               Parent:     (was: SPARK-9576)

> SQLContext.read.load() should be able to auto-detect input data
> ---------------------------------------------------------------
>
>                 Key: SPARK-8000
>                 URL: https://issues.apache.org/jira/browse/SPARK-8000
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>    Affects Versions: 2.0.0
>            Reporter: Reynold Xin
>            Priority: Major
>
> If it is a parquet file, use parquet. If it is a JSON file, use JSON. If it 
> is an ORC file, use ORC. If it is a CSV file, use CSV.
> Maybe Spark SQL can also write an output metadata file to specify the schema 
> & data source that's used.



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