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  1. Spark
  2. SPARK-35079

Transform with udf gives incorrect result

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    Details

    • Type: Bug
    • Status: Resolved
    • Priority: Minor
    • Resolution: Fixed
    • Affects Version/s: 3.1.1
    • Fix Version/s: 3.1.2, 3.2.0
    • Component/s: SQL
    • Labels:
      None

      Description

      i think this is a correctness bug in spark 3.1.1

      the behavior is correct in spark 3.0.1

      in spark 3.0.1:

      scala> import spark.implicits._
      
      scala> import org.apache.spark.sql.functions._
      
      scala> val x = Seq(Seq("aa", "bb", "cc")).toDF
      x: org.apache.spark.sql.DataFrame = [value: array<string>]
      
      scala> x.select(transform(col("value"), col => udf((_: String).drop(1)).apply(col))).show
      +---------------------------------------------------+
      |transform(value, lambdafunction(UDF(lambda 'x), x))|
      +---------------------------------------------------+
      |                                          [a, b, c]|
      +---------------------------------------------------+
      

      in spark 3.1.1:

      scala> import spark.implicits._
      
      scala> import org.apache.spark.sql.functions._
      
      scala> val x = Seq(Seq("aa", "bb", "cc")).toDF
      x: org.apache.spark.sql.DataFrame = [value: array<string>]
      
      scala> x.select(transform(col("value"), col => udf((_: String).drop(1)).apply(col))).show
      +---------------------------------------------------+
      |transform(value, lambdafunction(UDF(lambda 'x), x))|
      +---------------------------------------------------+
      |                                          [c, c, c]|
      +---------------------------------------------------+
      

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            • Assignee:
              Unassigned
              Reporter:
              koert koert kuipers
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              • Created:
                Updated:
                Resolved: