I am trying to filter out rows from my Spark Dataframe.
val sequence = Seq(1,2,3,4,5)
df.filter(df("column").isin(sequence))
Unfortunately, I get an unsupported literal type error
java.lang.RuntimeException: Unsupported literal type class scala.collection.immutable.$colon$colon List(1,2,3,4,5)
according to the documentation it takes a scala.collection.Seq list
I guess I don't want a literal? Then what can I take in, some sort of wrapper class?
@JustinPihony's answer is correct but it's incomplete. The isin function takes a repeated parameter for argument, so you'll need to pass it as so :
scala> val df = sc.parallelize(Seq(1,2,3,4,5,6,7,8,9)).toDF("column")
// df: org.apache.spark.sql.DataFrame = [column: int]
scala> val sequence = Seq(1,2,3,4,5)
// sequence: Seq[Int] = List(1, 2, 3, 4, 5)
scala> val result = df.filter(df("column").isin(sequence : _*))
// result: org.apache.spark.sql.DataFrame = [column: int]
scala> result.show
// +------+
// |column|
// +------+
// | 1|
// | 2|
// | 3|
// | 4|
// | 5|
// +------+
This is happening because the underlying Scala implementation uses varargs, so the documentation in Java is not quite correct. It is using the @varargs annotation, so you can just pass in an array.
