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https://issues.apache.org/jira/browse/SPARK-2360?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14107155#comment-14107155
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Hossein Falaki commented on SPARK-2360:
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There is a pull request for this issue:
<https://github.com/apache/spark/pull/1351>
It did not make it to Spark 1.1, due to last minute API changes. It will make
it to the next release. The API will provide a very easy (default) way of
reading common CSV (e.g., comma delimited) into SchemaRDDs. Users will be able
to specify delimiter and quotation characters.
> CSV import to SchemaRDDs
> ------------------------
>
> Key: SPARK-2360
> URL: https://issues.apache.org/jira/browse/SPARK-2360
> Project: Spark
> Issue Type: New Feature
> Components: SQL
> Reporter: Michael Armbrust
> Assignee: Hossein Falaki
>
> I think the first step it to design the interface that we want to present to
> users. Mostly this is defining options when importing. Off the top of my
> head:
> - What is the separator?
> - Provide column names or infer them from the first row.
> - how to handle multiple files with possibly different schemas
> - do we have a method to let users specify the datatypes of the columns or
> are they just strings?
> - what types of quoting / escaping do we want to support?
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