Please log a JIRA.
Thanks
On Tue, May 24, 2016 at 8:33 AM, Koert Kuipers <ko...@tresata.com> wrote:
> hello,
> as we continue to test spark 2.0 SNAPSHOT in-house we ran into the
> following trying to port an existing application from spark 1.6.1 to spark
> 2.0.0-SNAPSHOT.
>
> given this code:
>
> case class Test(a: Int, b: String)
> val rdd = sc.parallelize(List(Row(List(Test(5, "ha"), Test(6, "ba")))))
> val schema = StructType(Seq(
> StructField("x", ArrayType(
> StructType(Seq(
> StructField("a", IntegerType, false),
> StructField("b", StringType, true)
> )),
> true)
> , true)
> ))
> val df = sqlc.createDataFrame(rdd, schema)
> df.show
>
> this works fine in spark 1.6.1 and gives:
>
> +----------------+
> | x|
> +----------------+
> |[[5,ha], [6,ba]]|
> +----------------+
>
> but in spark 2.0.0-SNAPSHOT i get:
>
> org.apache.spark.SparkException: Job aborted due to stage failure: Task 0
> in stage 0.0 failed 1 times, most recent failure: Lost task 0.0 in stage
> 0.0 (TID 0, localhost): java.lang.RuntimeException: Error while encoding:
> java.lang.ClassCastException: Test cannot be cast to
> org.apache.spark.sql.Row
> [info] getexternalrowfield(input[0, org.apache.spark.sql.Row, false], 0,
> x, IntegerType) AS x#0
> [info] +- getexternalrowfield(input[0, org.apache.spark.sql.Row, false],
> 0, x, IntegerType)
> [info] +- input[0, org.apache.spark.sql.Row, false]
>
>
