Jacek Laskowski created SPARK-20416:
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Summary: 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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