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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/05/21 04:02:25 UTC

[jira] [Updated] (SPARK-21390) Dataset filter api inconsistency

     [ https://issues.apache.org/jira/browse/SPARK-21390?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon updated SPARK-21390:
---------------------------------
    Labels: bulk-closed  (was: )

> Dataset filter api inconsistency
> --------------------------------
>
>                 Key: SPARK-21390
>                 URL: https://issues.apache.org/jira/browse/SPARK-21390
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 2.0.1, 2.1.0, 2.2.0
>            Reporter: Gheorghe Gheorghe
>            Priority: Minor
>              Labels: bulk-closed
>
> Hello everybody, 
> I've encountered a strange situation with the spark-shell.
> When I run the code below in my IDE the second test case prints as expected count "1". However, when I run the same code using the spark-shell in the second test case I get 0 back as a count. 
> I've made sure that I'm running scala 2.11.8 and spark 2.0.1 in both my IDE and spark-shell. 
> {code:java}
>   import org.apache.spark.sql.Dataset
>   case class SomeClass(field1:String, field2:String)
>   val filterCondition: Seq[SomeClass] = Seq( SomeClass("00", "01") )
>   // Test 1
>   val filterMe1: Dataset[SomeClass] = Seq( SomeClass("00", "01") ).toDS
>   
>   println("Works fine!" +filterMe1.filter(filterCondition.contains(_)).count)
>   
>   // Test 2
>   case class OtherClass(field1:String, field2:String)
>   
>   val filterMe2 = Seq( OtherClass("00", "01"), OtherClass("00", "02")).toDS
>   println("Fail, count should return 1: " + filterMe2.filter(x=> filterCondition.contains(SomeClass(x.field1, x.field2))).count)
> {code}
> Note if I transform the dataset first I get 1 back as expected.
> {code:java}
>  println(filterMe2.map(x=> SomeClass(x.field1, x.field2)).filter(filterCondition.contains(_)).count)
> {code}
> Is this a bug? I can see that this filter function has been marked as experimental https://spark.apache.org/docs/2.1.0/api/java/org/apache/spark/sql/Dataset.html#filter(scala.Function1)



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