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Posted to issues@spark.apache.org by "koert kuipers (Jira)" <ji...@apache.org> on 2021/04/14 21:48:00 UTC
[jira] [Updated] (SPARK-35079) Transform with udf gives incorrect
result
[ https://issues.apache.org/jira/browse/SPARK-35079?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
koert kuipers updated SPARK-35079:
----------------------------------
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:
{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}
was:
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("11", "22", "33")).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))|
+---------------------------------------------------+
| [1, 2, 3]|
+---------------------------------------------------+
{code}
in spark 3.1.1:
{code:java}
scala> import spark.implicits._
scala> import org.apache.spark.sql.functions._
scala> val x = Seq(Seq("11", "22", "33")).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))|
+---------------------------------------------------+
| [3, 3, 3]|
+---------------------------------------------------+
{code}
> 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
>
> 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}
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