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https://issues.apache.org/jira/browse/SPARK-2360?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14107048#comment-14107048
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Evan Chan commented on SPARK-2360:
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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) <[email protected]>
--
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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