[jira] [Created] (SPARK-4564) SchemaRDD.groupBy(groupingExprs)(aggregateExprs) doesn't return the groupingExprs as part of the output schema

["Dean Wampler (JIRA)" <ji...@apache.org>]

Dean Wampler created SPARK-4564:
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             Summary: SchemaRDD.groupBy(groupingExprs)(aggregateExprs) doesn't return the groupingExprs as part of the output schema
                 Key: SPARK-4564
                 URL: https://issues.apache.org/jira/browse/SPARK-4564
             Project: Spark
          Issue Type: Bug
          Components: SQL
    Affects Versions: 1.1.0
         Environment: Mac OSX, local mode, but should hold true for all environments
            Reporter: Dean Wampler


In the following example, I would expect the "grouped" schema to contain two fields, the String name and the Long count, but it only contains the Long count.

{code}
// Assumes val sc = new SparkContext(...), e.g., in Spark Shell
import org.apache.spark.sql.{SQLContext, SchemaRDD}
import org.apache.spark.sql.catalyst.expressions._

val sqlc = new SQLContext(sc)
import sqlc._

case class Record(name: String, n: Int)

val records = List(
  Record("three",   1),
  Record("three",   2),
  Record("two",     3),
  Record("three",   4),
  Record("two",     5))
val recs = sc.parallelize(records)
recs.registerTempTable("records")

val grouped = recs.select('name, 'n).groupBy('name)(Count('n) as 'count)
grouped.printSchema
// root
//  |-- count: long (nullable = false)

grouped foreach println
// [2]
// [3]
{code}



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