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Posted to issues@spark.apache.org by "koert kuipers (JIRA)" <ji...@apache.org> on 2016/09/26 19:47:21 UTC
[jira] [Created] (SPARK-17668) Support case classes and tuples to
represent structs in spark sql udfs
koert kuipers created SPARK-17668:
-------------------------------------
Summary: Support case classes and tuples to represent structs in spark sql udfs
Key: SPARK-17668
URL: https://issues.apache.org/jira/browse/SPARK-17668
Project: Spark
Issue Type: New Feature
Components: SQL
Affects Versions: 2.0.0
Reporter: koert kuipers
Priority: Minor
after having gotten used to have case classes represent complex structures in Datasets, i am surprised to find out that when i work in DataFrames with udfs no such magic exists, and i have to fall back to manipulating Row objects, which is error prone and somewhat ugly.
for example:
{noformat}
case class Person(name: String, age: Int)
val df = Seq((Person("john", 33), 5), (Person("mike", 30), 6)).toDF("person", "id")
val df1 = df.withColumn("person", udf({ (p: Person) => p.copy(age = p.age + 1) }).apply(col("person")))
df1.printSchema
df1.show
{noformat}
leads to:
{noformat}
java.lang.ClassCastException: org.apache.spark.sql.catalyst.expressions.GenericRowWithSchema cannot be cast to Person
{noformat}
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