[SPARK-14870][SQL][FOLLOW-UP] Move decimalDataWithNulls in DataFrameAggregateSuite

## What changes were proposed in this pull request?

Minor followup to https://github.com/apache/spark/pull/12651

## How was this patch tested?

Test-only change

Author: Sameer Agarwal <sameer@databricks.com>

Closes #12674 from sameeragarwal/tpcds-fix-2.

2 files changed, 9 insertions, 15 deletions

diff --git a/sql/core/src/test/scala/org/apache/spark/sql/DataFrameAggregateSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/DataFrameAggregateSuite.scala
index 0fcfb97d2b..2f685c5f9c 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/DataFrameAggregateSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/DataFrameAggregateSuite.scala
@@ -21,6 +21,7 @@ import org.apache.spark.sql.expressions.Window
 import org.apache.spark.sql.functions._
 import org.apache.spark.sql.internal.SQLConf
 import org.apache.spark.sql.test.SharedSQLContext
+import org.apache.spark.sql.test.SQLTestData.DecimalData
 import org.apache.spark.sql.types.DecimalType
 
 case class Fact(date: Int, hour: Int, minute: Int, room_name: String, temp: Double)
@@ -69,6 +70,14 @@ class DataFrameAggregateSuite extends QueryTest with SharedSQLContext {
         Row(new java.math.BigDecimal(3.0), new java.math.BigDecimal(3.0)))
     )
 
+    val decimalDataWithNulls = sqlContext.sparkContext.parallelize(
+      DecimalData(1, 1) ::
+      DecimalData(1, null) ::
+      DecimalData(2, 1) ::
+      DecimalData(2, null) ::
+      DecimalData(3, 1) ::
+      DecimalData(3, 2) ::
+      DecimalData(null, 2) :: Nil).toDF()
     checkAnswer(
       decimalDataWithNulls.groupBy("a").agg(sum("b")),
       Seq(Row(new java.math.BigDecimal(1.0), new java.math.BigDecimal(1.0)),
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/test/SQLTestData.scala b/sql/core/src/test/scala/org/apache/spark/sql/test/SQLTestData.scala
index c5f25fa1df..7fa6760b71 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/test/SQLTestData.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/test/SQLTestData.scala
@@ -103,19 +103,6 @@ private[sql] trait SQLTestData { self =>
     df
   }
 
-  protected lazy val decimalDataWithNulls: DataFrame = {
-    val df = sqlContext.sparkContext.parallelize(
-      DecimalDataWithNulls(1, 1) ::
-      DecimalDataWithNulls(1, null) ::
-      DecimalDataWithNulls(2, 1) ::
-      DecimalDataWithNulls(2, null) ::
-      DecimalDataWithNulls(3, 1) ::
-      DecimalDataWithNulls(3, 2) ::
-      DecimalDataWithNulls(null, 2) :: Nil).toDF()
-    df.registerTempTable("decimalDataWithNulls")
-    df
-  }
-
   protected lazy val binaryData: DataFrame = {
     val df = sqlContext.sparkContext.parallelize(
       BinaryData("12".getBytes(StandardCharsets.UTF_8), 1) ::
@@ -280,7 +267,6 @@ private[sql] trait SQLTestData { self =>
     negativeData
     largeAndSmallInts
     decimalData
-    decimalDataWithNulls
     binaryData
     upperCaseData
     lowerCaseData
@@ -310,7 +296,6 @@ private[sql] object SQLTestData {
   case class TestData3(a: Int, b: Option[Int])
   case class LargeAndSmallInts(a: Int, b: Int)
   case class DecimalData(a: BigDecimal, b: BigDecimal)
-  case class DecimalDataWithNulls(a: BigDecimal, b: BigDecimal)
   case class BinaryData(a: Array[Byte], b: Int)
   case class UpperCaseData(N: Int, L: String)
   case class LowerCaseData(n: Int, l: String)