[jira] [Commented] (SPARK-22951) count() after dropDuplicates() on emptyDataFrame returns incorrect value

["Dongjoon Hyun (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-22951?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16732659#comment-16732659 ] 

Dongjoon Hyun commented on SPARK-22951:
---------------------------------------

Hi, [~fengliu@databricks.com] and [~lian cheng].
Since this is a correctness issue reported on branch-2.2, I'll backport this for Spark 2.2.3.

> count() after dropDuplicates() on emptyDataFrame returns incorrect value
> ------------------------------------------------------------------------
>
>                 Key: SPARK-22951
>                 URL: https://issues.apache.org/jira/browse/SPARK-22951
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 1.6.2, 2.2.0, 2.3.0
>            Reporter: Michael Dreibelbis
>            Assignee: Feng Liu
>            Priority: Major
>              Labels: correctness
>             Fix For: 2.3.0
>
>
> here is a minimal Spark Application to reproduce:
> {code}
> import org.apache.spark.sql.SQLContext
> import org.apache.spark.{SparkConf, SparkContext}
> object DropDupesApp extends App {
>   
>   override def main(args: Array[String]): Unit = {
>     val conf = new SparkConf()
>       .setAppName("test")
>       .setMaster("local")
>     val sc = new SparkContext(conf)
>     val sql = SQLContext.getOrCreate(sc)
>     assert(sql.emptyDataFrame.count == 0) // expected
>     assert(sql.emptyDataFrame.dropDuplicates.count == 1) // unexpected
>   }
>   
> }
> {code}



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