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Posted to issues@spark.apache.org by "Hyukjin Kwon (Jira)" <ji...@apache.org> on 2019/10/08 05:43:14 UTC

[jira] [Resolved] (SPARK-23954) Converting spark dataframe containing int64 fields to R dataframes leads to impredictable errors.

     [ https://issues.apache.org/jira/browse/SPARK-23954?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon resolved SPARK-23954.
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    Resolution: Incomplete

> 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
>              Labels: bulk-closed
>
> 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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