[jira] [Comment Edited] (SPARK-22951) count() after dropDuplicates() on emptyDataFrame returns incorrect value
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https://issues.apache.org/jira/browse/SPARK-22951?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16311225#comment-16311225
]
Sandor Murakozi edited comment on SPARK-22951 at 1/4/18 11:36 AM:
--
Adding 2.2.0 to affected version:
{code}
__
/ __/__ ___ _/ /__
_\ \/ _ \/ _ `/ __/ '_/
/___/ .__/\_,_/_/ /_/\_\ version 2.2.0
/_/
Using Scala version 2.11.8 (Java HotSpot(TM) 64-Bit Server VM, Java 1.8.0_152)
Type in expressions to have them evaluated.
Type :help for more information.
scala> Seq.empty[String].toDF.dropDuplicates.count
res0: Long = 0
scala> spark.emptyDataset[String].dropDuplicates.count
res1: Long = 0
scala> sc.emptyRDD[String].toDF.dropDuplicates.count
res2: Long = 0
scala> spark.emptyDataFrame.dropDuplicates.count
res3: Long = 1
{code}
was (Author: smurakozi):
Adding 2.2.0 to affected version:
{quote} __
/ __/__ ___ _/ /__
_\ \/ _ \/ _ `/ __/ '_/
/___/ .__/\_,_/_/ /_/\_\ version 2.2.0
/_/
Using Scala version 2.11.8 (Java HotSpot(TM) 64-Bit Server VM, Java 1.8.0_152)
Type in expressions to have them evaluated.
Type :help for more information.
scala> Seq.empty[String].toDF.dropDuplicates.count
res0: Long = 0
scala> spark.emptyDataset[String].dropDuplicates.count
res1: Long = 0
scala> sc.emptyRDD[String].toDF.dropDuplicates.count
res2: Long = 0
scala> spark.emptyDataFrame.dropDuplicates.count
res3: Long = 1{quote}
> 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
>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] [Comment Edited] (SPARK-22951) count() after dropDuplicates() on emptyDataFrame returns incorrect value
[
https://issues.apache.org/jira/browse/SPARK-22951?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16311225#comment-16311225
]
Sandor Murakozi edited comment on SPARK-22951 at 1/4/18 11:35 AM:
--
Adding 2.2.0 to affected version:
{quote} __
/ __/__ ___ _/ /__
_\ \/ _ \/ _ `/ __/ '_/
/___/ .__/\_,_/_/ /_/\_\ version 2.2.0
/_/
Using Scala version 2.11.8 (Java HotSpot(TM) 64-Bit Server VM, Java 1.8.0_152)
Type in expressions to have them evaluated.
Type :help for more information.
scala> Seq.empty[String].toDF.dropDuplicates.count
res0: Long = 0
scala> spark.emptyDataset[String].dropDuplicates.count
res1: Long = 0
scala> sc.emptyRDD[String].toDF.dropDuplicates.count
res2: Long = 0
scala> spark.emptyDataFrame.dropDuplicates.count
res3: Long = 1{quote}
was (Author: smurakozi):
Adding 2.2.0 to affected version:
{{ __
/ __/__ ___ _/ /__
_\ \/ _ \/ _ `/ __/ '_/
/___/ .__/\_,_/_/ /_/\_\ version 2.2.0
/_/
Using Scala version 2.11.8 (Java HotSpot(TM) 64-Bit Server VM, Java 1.8.0_152)
Type in expressions to have them evaluated.
Type :help for more information.
scala> Seq.empty[String].toDF.dropDuplicates.count
res0: Long = 0
scala> spark.emptyDataset[String].dropDuplicates.count
res1: Long = 0
scala> sc.emptyRDD[String].toDF.dropDuplicates.count
res2: Long = 0
scala> spark.emptyDataFrame.dropDuplicates.count
res3: Long = 1
}}
> 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
>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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