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https://issues.apache.org/jira/browse/SPARK-2360?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14106200#comment-14106200
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Evan Chan commented on SPARK-2360:
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+1 for this feature.
I just had to write something for importing tab-delimited CSVs and converting
the types of each column.
As for API, it really needs to do type conversion into the built-in types;
otherwise it really affects the caching compression efficiency and query speed,
as well as what functions can be run on it. I think this is crucial.
Maybe one can pass in a Map[String, ColumnType] or something like that. If a
type is not specified for a column, then it is assumed to be String.
> 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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