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
.
Attachments
Issue Links
- relates to
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SPARK-15201 Handle integer overflow correctly in hash code computation
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- Resolved
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- links to
