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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