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

2018-01-10 Thread Cheng Lian (JIRA) 

 [ 
https://issues.apache.org/jira/browse/SPARK-22951?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Cheng Lian reassigned SPARK-22951:
--

Assignee: Feng Liu

> 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
>  Labels: correctness
>
> 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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[jira] [Assigned] (SPARK-22951) count() after dropDuplicates() on emptyDataFrame returns incorrect value

2018-01-06 Thread Apache Spark (JIRA) 

 [ 
https://issues.apache.org/jira/browse/SPARK-22951?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Apache Spark reassigned SPARK-22951:


Assignee: (was: Apache Spark)

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

2018-01-06 Thread Apache Spark (JIRA) 

 [ 
https://issues.apache.org/jira/browse/SPARK-22951?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Apache Spark reassigned SPARK-22951:


Assignee: Apache Spark

> 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: Apache Spark
>
> 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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