[jira] [Commented] (SPARK-31517) SparkR::orderBy with multiple columns descending produces error

["Hyukjin Kwon (Jira)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-31517?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17250892#comment-17250892 ] 

Hyukjin Kwon commented on SPARK-31517:
--------------------------------------

Fixed in https://github.com/apache/spark/pull/28386

> SparkR::orderBy with multiple columns descending produces error
> ---------------------------------------------------------------
>
>                 Key: SPARK-31517
>                 URL: https://issues.apache.org/jira/browse/SPARK-31517
>             Project: Spark
>          Issue Type: Bug
>          Components: SparkR
>    Affects Versions: 2.4.5
>         Environment: Databricks Runtime 6.5
>            Reporter: Ross Bowen
>            Priority: Major
>
> When specifying two columns within an `orderBy()` function, to attempt to get an ordering by two columns in descending order, an error is returned.
> {code:java}
> library(magrittr) 
> library(SparkR) 
> cars <- cbind(model = rownames(mtcars), mtcars) 
> carsDF <- createDataFrame(cars) 
> carsDF %>% 
>   mutate(rank = over(rank(), orderBy(windowPartitionBy(column("cyl")), desc(column("mpg")), desc(column("disp"))))) %>% 
>   head() {code}
> This returns an error:
> {code:java}
>  Error in ns[[i]] : subscript out of bounds{code}
> This seems to be related to the more general issue that the following code, excluding the use of the `desc()` function also fails:
> {code:java}
> carsDF %>% 
>   mutate(rank = over(rank(), orderBy(windowPartitionBy(column("cyl")), column("mpg"), column("disp")))) %>% 
>   head(){code}
>  



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