I believe it depends on your Spark application.

To write to Hive, use 
dataframe.saveAsTable

To write to S3, use
dataframe.write.parquet(“s3://<bucket>”)

Hope this helps.
Richard

> On Jun 16, 2016, at 9:54 AM, Natu Lauchande <nlaucha...@gmail.com> wrote:
> 
> Does

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