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https://issues.apache.org/jira/browse/SPARK-23954?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16433298#comment-16433298
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Hyukjin Kwon commented on SPARK-23954:
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Can you check other JIRAs and see if there are duplicates? I feel sure there 
are duplicates about this, for example, SPARK-14326 or SPARK-12360.

> Converting spark dataframe containing int64 fields to R dataframes leads to 
> impredictable errors.
> -------------------------------------------------------------------------------------------------
>
>                 Key: SPARK-23954
>                 URL: https://issues.apache.org/jira/browse/SPARK-23954
>             Project: Spark
>          Issue Type: Bug
>          Components: SparkR
>    Affects Versions: 2.3.0
>            Reporter: nicolas paris
>            Priority: Minor
>
> Converting spark dataframe containing int64 fields to R dataframes leads to 
> impredictable errors. 
> The problems comes from R that does not handle int64 natively. As a result a 
> good workaround would be to convert bigint as strings when transforming spark 
> dataframes into R dataframes.



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