[jira] [Commented] (SPARK-35079) Transform with udf gives incorrect result

2021-05-18 Thread koert kuipers (Jira) 


[ 
https://issues.apache.org/jira/browse/SPARK-35079?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17346970#comment-17346970
 ] 

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]
> 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]
> 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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[jira] [Commented] (SPARK-35079) Transform with udf gives incorrect result

2021-05-10 Thread Takeshi Yamamuro (Jira) 


[ 
https://issues.apache.org/jira/browse/SPARK-35079?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17342230#comment-17342230
 ] 

Takeshi Yamamuro commented on SPARK-35079:
--

I've checked it and the issue has already resolved in latest branch-3.1;
{code:java}
Welcome to
                    __
     / __/__  ___ _/ /__
    _\ \/ _ \/ _ `/ __/  '_/
   /___/ .__/\_,_/_/ /_/\_\   version 3.1.2-SNAPSHOT
      /_/
         
Using Scala version 2.12.10 (Java HotSpot(TM) 64-Bit Server VM, Java 1.8.0_181)
Type in expressions to have them evaluated.
Type :help for more information.

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]


scala> x.select(transform(col("value"), col => udf((_: 
String).drop(1)).apply(col))).show
+---+
|transform(value, lambdafunction(UDF(lambda 'x_0), x_0))|
+---+
|                                              [a, b, c]|
+---+
 {code}
So, I will close this. Anyway, thank you for the report.

> 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]
> 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]
> 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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[jira] [Commented] (SPARK-35079) Transform with udf gives incorrect result

2021-05-10 Thread Takeshi Yamamuro (Jira) 


[ 
https://issues.apache.org/jira/browse/SPARK-35079?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17342182#comment-17342182
 ] 

Takeshi Yamamuro commented on SPARK-35079:
--

Could you check if branch-3.1 has the issue?

> 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]
> 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]
> 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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[jira] [Commented] (SPARK-35079) Transform with udf gives incorrect result

2021-05-10 Thread shahid (Jira) 


[ 
https://issues.apache.org/jira/browse/SPARK-35079?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17342171#comment-17342171
 ] 

shahid commented on SPARK-35079:


Seems It is not reproducible with master branch?
+-+
|transform(value, lambdafunction(UDF(lambda x_0#3993), namedlambdavariable()))|
+-+
|[a, b, c]|
+-+



> 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]
> 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]
> 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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