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From "Evan Chan (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-2360) CSV import to SchemaRDDs
Date Fri, 22 Aug 2014 16:32:11 GMT

    [ https://issues.apache.org/jira/browse/SPARK-2360?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14107048#comment-14107048
] 

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

Vineet,

You can have a look at my repo:
http://www.github.com/velvia/spark-sql-gdelt

See the CsvImporter class and README, it can import tab-delimited CSV
styles (GDELT format), and with little modification other CSV formats.
 It's not terribly efficient because it uses jsonRDD, I plan to make a more
efficient version if I have time.


On Fri, Aug 22, 2014 at 7:06 AM, Hingorani, Vineet (JIRA) <jira@apache.org>




-- 
The fruit of silence is prayer;
the fruit of prayer is faith;
the fruit of faith is love;
the fruit of love is service;
the fruit of service is peace.  -- Mother Teresa


> 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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