koert kuipers created SPARK-15507:
-------------------------------------
Summary: ClassCastException: SomeCaseClass cannot be cast to
org.apache.spark.sql.Row
Key: SPARK-15507
URL: https://issues.apache.org/jira/browse/SPARK-15507
Project: Spark
Issue Type: Bug
Components: SQL
Environment: spark 2.0.0-SNAPSHOT may 24
Reporter: koert kuipers
given this code:
{noformat}
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
{noformat}
this works fine in spark 1.6.1 and gives:
{noformat}
+----------------+
| x|
+----------------+
|[[5,ha], [6,ba]]|
+----------------+
{noformat}
but in spark 2.0.0-SNAPSHOT i get:
{noformat}
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]
{noformat}
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