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https://issues.apache.org/jira/browse/SPARK-8000?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15153570#comment-15153570
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Hyukjin Kwon commented on SPARK-8000:
-------------------------------------
And I got an email from you which was
{quote}
Thanks for the email.
Don't make it that complicated. We just want to simplify the common cases (e.g.
csv/parquet), and don't need this to work for everything out there.
{quote}
> 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: Sub-task
> Components: SQL
> Reporter: Reynold Xin
>
> 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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