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https://issues.apache.org/jira/browse/SPARK-23954?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16457390#comment-16457390
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Felix Cheung commented on SPARK-23954:
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yap, please see discussion in SPARK-12360 in particular
> 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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