I\'ve noticed that after I use a Window function over a DataFrame if I call a map() with a function, Spark returns a "Task not serializable" Exception This is my code:
lag
returns o.a.s.sql.Column
which is not serializable. Same thing applies to WindowSpec
. In interactive mode these object may be included as a part of the closure for map
:
scala> import org.apache.spark.sql.expressions.Window
import org.apache.spark.sql.expressions.Window
scala> val df = Seq(("foo", 1), ("bar", 2)).toDF("x", "y")
df: org.apache.spark.sql.DataFrame = [x: string, y: int]
scala> val w = Window.partitionBy("x").orderBy("y")
w: org.apache.spark.sql.expressions.WindowSpec = org.apache.spark.sql.expressions.WindowSpec@307a0097
scala> val lag_y = lag(col("y"), 1).over(w)
lag_y: org.apache.spark.sql.Column = 'lag(y,1,null) windowspecdefinition(x,y ASC,UnspecifiedFrame)
scala> def f(x: Any) = x.toString
f: (x: Any)String
scala> df.select(lag_y).map(f _).first
org.apache.spark.SparkException: Task not serializable
at org.apache.spark.util.ClosureCleaner$.ensureSerializable(ClosureCleaner.scala:304)
...
Caused by: java.io.NotSerializableException: org.apache.spark.sql.expressions.WindowSpec
Serialization stack:
- object not serializable (class: org.apache.spark.sql.expressions.WindowSpec, value: org.apache.spark.sql.expressions.WindowSpec@307a0097)
A simple solution is to mark both as transient:
scala> @transient val w = Window.partitionBy("x").orderBy("y")
w: org.apache.spark.sql.expressions.WindowSpec = org.apache.spark.sql.expressions.WindowSpec@7dda1470
scala> @transient val lag_y = lag(col("y"), 1).over(w)
lag_y: org.apache.spark.sql.Column = 'lag(y,1,null) windowspecdefinition(x,y ASC,UnspecifiedFrame)
scala> df.select(lag_y).map(f _).first
res1: String = [null]