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Posted to issues@spark.apache.org by "Jakob Bach (JIRA)" <ji...@apache.org> on 2017/09/03 06:40:00 UTC
[jira] [Updated] (SPARK-21900) Error in Skewness Computation

     [ https://issues.apache.org/jira/browse/SPARK-21900?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Jakob Bach updated SPARK-21900:
-------------------------------
    Description: 
The skewness() aggregate SQL function in the Scala implementation (org.apache.spark.sql.skewness) seems to be buggy .The following code

{code:java}
import org.apache.spark.sql.functions
import org.apache.spark.sql.SparkSession

object SkewTest {
  def main(args: Array[String]): Unit = {
    val spark = SparkSession.
      builder().
      appName("Skewness example").
      master("local[1]").
      getOrCreate()
    spark.createDataFrame(Seq(4,1,2,3).map(Tuple1(_))).agg(functions.skewness("_1")).show()
  }
}
{code}

should output 0 (as it does for Seq(1,2,3,4)), but outputs

{code:none}
+--------------------+
|        skewness(_1)|
+--------------------+
|5.958081967793454...|
+--------------------+
{code}

  was:
The skewness() aggregate SQL function in the Scala implementation (org.apache.spark.sql.skewness) seems to be buggy .The following code

{code:java}
import org.apache.spark.sql.functions
import org.apache.spark.sql.SparkSession

object SkewTest {
  def main(args: Array[String]): Unit = {
    val spark = SparkSession.
      builder().
      appName("Skewness example").
      master("local[1]").
      getOrCreate()
    spark.createDataFrame(Seq(4,1,2,3).map(Tuple1(_))).agg(functions.skewness("_1")).show()
  }
}
{code}

should ouput 0 (as it does for Seq(1,2,3,4)), but outputs

{code:none}
+--------------------+
|        skewness(_1)|
+--------------------+
|5.958081967793454...|
+--------------------+
{code}


> Error in Skewness Computation
> -----------------------------
>
>                 Key: SPARK-21900
>                 URL: https://issues.apache.org/jira/browse/SPARK-21900
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 2.2.0
>            Reporter: Jakob Bach
>
> The skewness() aggregate SQL function in the Scala implementation (org.apache.spark.sql.skewness) seems to be buggy .The following code
> {code:java}
> import org.apache.spark.sql.functions
> import org.apache.spark.sql.SparkSession
> object SkewTest {
>   def main(args: Array[String]): Unit = {
>     val spark = SparkSession.
>       builder().
>       appName("Skewness example").
>       master("local[1]").
>       getOrCreate()
>     spark.createDataFrame(Seq(4,1,2,3).map(Tuple1(_))).agg(functions.skewness("_1")).show()
>   }
> }
> {code}
> should output 0 (as it does for Seq(1,2,3,4)), but outputs
> {code:none}
> +--------------------+
> |        skewness(_1)|
> +--------------------+
> |5.958081967793454...|
> +--------------------+
> {code}



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