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From "Apache Spark (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-12479) sparkR collect on GroupedData throws R error "missing value where TRUE/FALSE needed"
Date Wed, 23 Dec 2015 03:34:46 GMT

    [ https://issues.apache.org/jira/browse/SPARK-12479?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15069092#comment-15069092
] 

Apache Spark commented on SPARK-12479:
--------------------------------------

User 'paulomagalhaes' has created a pull request for this issue:
https://github.com/apache/spark/pull/10436

>  sparkR collect on GroupedData  throws R error "missing value where TRUE/FALSE needed"
> --------------------------------------------------------------------------------------
>
>                 Key: SPARK-12479
>                 URL: https://issues.apache.org/jira/browse/SPARK-12479
>             Project: Spark
>          Issue Type: Bug
>          Components: R, SparkR
>    Affects Versions: 1.5.1
>            Reporter: Paulo Magalhaes
>
> sparkR collect on GroupedData  throws "missing value where TRUE/FALSE needed"
> Spark Version: 1.5.1
> R Version: 3.2.2
> I tracked down the root cause of this exception to an specific key for which the hashCode
could not be calculated.
> The following code recreates the problem when ran in sparkR:
> hashCode <- getFromNamespace("hashCode","SparkR")
> hashCode("bc53d3605e8a5b7de1e8e271c2317645")
> Error in if (value > .Machine$integer.max) { :
>   missing value where TRUE/FALSE needed
> I went one step further and relaised the the problem happens because of the  bit wise
shift below returning NA.
> bitwShiftL(-1073741824,1)
> where bitwShiftL is an R function. 
> I believe the bitwShiftL function is working as it is supposed to. Therefore, this PR
fixes it in the SparkR package: https://github.com/apache/spark/pull/10436
> .



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