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