[jira] [Commented] (SPARK-2360) CSV import to SchemaRDDs

["Evan Chan (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-2360?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14106200#comment-14106200 ] 

Evan Chan commented on SPARK-2360:
----------------------------------

+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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