I have a dataframe with "id" column and a column which has an array of struct. The schema:
root
|-- id: string (nullable = true)
|-- desc: array (nullable = false)
| |-- element: struct (containsNull = true)
| | |-- name: string (nullable = true)
| | |-- age: long (nullable = false)
The array "desc" can have any number of null values. I would like to create the final dataframe with the array having none of the null values using Spark 1.6:
An example would be:
Key . Value
1010 . [[George,21],null,[MARIE,13],null]
1023 . [null,[Watson,11],[John,35],null,[Kyle,33]]
I want the final dataframe as:
id . desc
1010 . [[George,21],[MARIE,13]]
1023 . [[Watson,11],[John,35],[Kyle,33]]
I tried doing this with UDF and case class but got
java.lang.ClassCastException: org.apache.spark.sql.catalyst.expressions.GenericRowWithSchema cannot be cast to....
Any help is greatly appreciated and I would prefer doing it without converting to RDDs if needed.
Here is another version:
case class Person(name: String, age: Int)
root
|-- id: string (nullable = true)
|-- desc: array (nullable = true)
| |-- element: struct (containsNull = true)
| | |-- name: string (nullable = true)
| | |-- age: integer (nullable = false)
+----+-----------------------------------------------+
|id |desc |
+----+-----------------------------------------------+
|1010|[[George,21], null, [MARIE,13], null] |
|1023|[[Watson,11], null, [John,35], null, [Kyle,33]]|
+----+-----------------------------------------------+
val filterOutNull = udf((xs: Seq[Row]) => {
xs.flatMap {
case null => Nil
// convert the Row back to your specific struct:
case Row(s: String,i: Int) => List(Person(s, i))
}
})
val result = df.withColumn("filteredListDesc", filterOutNull($"desc"))
+----+-----------------------------------------------+-----------------------------------+
|id |desc |filteredListDesc |
+----+-----------------------------------------------+-----------------------------------+
|1010|[[George,21], null, [MARIE,13], null] |[[George,21], [MARIE,13]] |
|1023|[[Watson,11], null, [John,35], null, [Kyle,33]]|[[Watson,11], [John,35], [Kyle,33]]|
+----+-----------------------------------------------+-----------------------------------+
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