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https://issues.apache.org/jira/browse/SPARK-2360?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14107233#comment-14107233
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Erik Erlandson commented on SPARK-2360:
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It appears that this is not a pure lazy transform, as it invokes 'first()` when
inferring schema from headers.
I wrote up some ideas on this, pertaining to SPARK-2315, here:
http://erikerlandson.github.io/blog/2014/07/29/deferring-spark-actions-to-lazy-transforms-with-the-promise-rdd/
> 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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