[jira] [Assigned] (SPARK-10852) DataFrame aggregated column cannot be accessed properly

["Apache Spark (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-10852?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-10852:
------------------------------------

    Assignee:     (was: Apache Spark)

> DataFrame aggregated column cannot be accessed properly
> -------------------------------------------------------
>
>                 Key: SPARK-10852
>                 URL: https://issues.apache.org/jira/browse/SPARK-10852
>             Project: Spark
>          Issue Type: Bug
>          Components: PySpark
>    Affects Versions: 1.5.0
>         Environment: witness on both OSX and Linux
>            Reporter: Liu Kaijie
>
> This code snippet works fine in spark-1.4.1
> {code}
> rdd = sc.parallelize([1,2,1,3])
> df = sqlContext.createDataFrame(rdd.map(lambda x: Row(id=x)))
> df = df.groupby("id").count()
> df.map(lambda x: x.count).collect()
> {code}
> While it throws exception in spark-1.5.0 as following:
> +TypeError: expected string or Unicode object, NoneType found+
> and I can work around by replacing the last code line with:
> {code}
> df.map(lambda x: x.asDict()["count"]).collect()
> {code}
> But I don't think this is expected, right?



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