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koert kuipers commented on SPARK-35079: --------------------------------------- looks to me like this is a duplicate of SPARK-34829 > Transform with udf gives incorrect result > ----------------------------------------- > > Key: SPARK-35079 > URL: https://issues.apache.org/jira/browse/SPARK-35079 > Project: Spark > Issue Type: Bug > Components: SQL > Affects Versions: 3.1.1 > Reporter: koert kuipers > Priority: Minor > Fix For: 3.1.2, 3.2.0 > > > 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: > {code:java} > 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]| > +---------------------------------------------------+ > {code} > in spark 3.1.1: > {code:java} > 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]| > +---------------------------------------------------+ > {code} -- This message was sent by Atlassian Jira (v8.3.4#803005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org