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https://issues.apache.org/jira/browse/SPARK-12669?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15103949#comment-15103949
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Hossein Falaki commented on SPARK-12669:
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Having a namespace for option names is a good suggestion. It will help organize
the many options we might end up having.
BTW: we are not going to have separate Scala or Java API in the data source.
Basically, configuring options will be through the Spark data source API:
{code}
sqlContext.read.options(Map(...)).load(path)
{code}
> Organize options for default values
> -----------------------------------
>
> Key: SPARK-12669
> URL: https://issues.apache.org/jira/browse/SPARK-12669
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
> Affects Versions: 2.0.0
> Reporter: Hossein Falaki
>
> CSV data source in SparkSQL should be able to differentiate empty string,
> null, NaN, “N/A” (maybe data type dependent).
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