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Wenchen Fan commented on SPARK-15507: ------------------------------------- `Product` is not a valid external type for struct type column. We support it in 1.6 by accident(the document doesn't say it), and disable it in 2.0. Opened https://issues.apache.org/jira/browse/SPARK-15657 to provide better error message for this kind of problem. > 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} -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org