[jira] [Updated] (SPARK-11167) Incorrect type resolution on heterogeneous data structures

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

     [ https://issues.apache.org/jira/browse/SPARK-11167?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon updated SPARK-11167:
---------------------------------
    Labels: bulk-closed  (was: )

> Incorrect type resolution on heterogeneous data structures
> ----------------------------------------------------------
>
>                 Key: SPARK-11167
>                 URL: https://issues.apache.org/jira/browse/SPARK-11167
>             Project: Spark
>          Issue Type: Bug
>          Components: SparkR
>    Affects Versions: 1.6.0
>            Reporter: Maciej Szymkiewicz
>            Priority: Major
>              Labels: bulk-closed
>
> If structure contains heterogeneous incorrectly assigns type of the encountered element as type of a whole structure. This problem affects both lists:
> {code}
> SparkR:::infer_type(list(a=1, b="a")
> ## [1] "array<double>"
> SparkR:::infer_type(list(a="a", b=1))
> ##  [1] "array<string>"
> {code}
> and environments:
> {code}
> SparkR:::infer_type(as.environment(list(a=1, b="a")))
> ## [1] "map<string,double>"
> SparkR:::infer_type(as.environment(list(a="a", b=1)))
> ## [1] "map<string,string>"
> {code}
> This results in errors during data collection and other operations on DataFrames:
> {code}
> ldf <- data.frame(row.names=1:2)
> ldf$foo <- list(list("1", 2), list(3, 4))
> sdf <- createDataFrame(sqlContext, ldf)
> collect(sdf)
> ## 15/10/17 17:58:57 ERROR Executor: Exception in task 0.0 in stage 9.0 (TID 9)
> ## scala.MatchError: 2.0 (of class java.lang.Double)
> ## ...
> {code}



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