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https://issues.apache.org/jira/browse/SPARK-20416?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-20416:
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Assignee: (was: Apache Spark)
> Column names inconsistent for UDFs in SQL vs Dataset
> ----------------------------------------------------
>
> Key: SPARK-20416
> URL: https://issues.apache.org/jira/browse/SPARK-20416
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 2.2.0
> Reporter: Jacek Laskowski
> Priority: Minor
>
> As you can see below, the name of the columns in SQL vs Dataset is different.
> {code}
> scala> val timesTwoUDF = spark.udf.register("timesTwo", (x: Int) => x * 2)
> timesTwoUDF: org.apache.spark.sql.expressions.UserDefinedFunction =
> UserDefinedFunction(<function1>,IntegerType,Some(List(IntegerType)))
> scala> spark.sql("SELECT timesTwo(1)").show
> +---------------+
> |UDF:timesTwo(1)|
> +---------------+
> | 2|
> +---------------+
> scala> spark.range(1, 2).toDF("x").select(timesTwoUDF($"x")).show
> +------+
> |UDF(x)|
> +------+
> | 2|
> +------+
> {code}
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