[SPARK-16192][SQL] Add type checks in CollectSet

## What changes were proposed in this pull request?
`CollectSet` cannot have map-typed data because MapTypeData does not implement `equals`.
So, this pr is to add type checks in `CheckAnalysis`.

## How was this patch tested?
Added tests to check failures when we found map-typed data in `CollectSet`.

Author: Takeshi YAMAMURO <linguin.m.s@gmail.com>

Closes #13892 from maropu/SPARK-16192.

sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/CheckAnalysis.scala

@@ -73,9 +73,9 @@ trait CheckAnalysis extends PredicateHelper {
               s"invalid cast from ${c.child.dataType.simpleString} to ${c.dataType.simpleString}")
 
           case g: Grouping =>
-            failAnalysis(s"grouping() can only be used with GroupingSets/Cube/Rollup")
+            failAnalysis("grouping() can only be used with GroupingSets/Cube/Rollup")
           case g: GroupingID =>
-            failAnalysis(s"grouping_id() can only be used with GroupingSets/Cube/Rollup")
+            failAnalysis("grouping_id() can only be used with GroupingSets/Cube/Rollup")
 
           case w @ WindowExpression(AggregateExpression(_, _, true, _), _) =>
             failAnalysis(s"Distinct window functions are not supported: $w")

sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/collect.scala

@@ -20,6 +20,7 @@ package org.apache.spark.sql.catalyst.expressions.aggregate
 import scala.collection.generic.Growable
 import scala.collection.mutable
 
+import org.apache.spark.sql.catalyst.analysis.TypeCheckResult
 import org.apache.spark.sql.catalyst.expressions._
 import org.apache.spark.sql.catalyst.util.GenericArrayData
 import org.apache.spark.sql.catalyst.InternalRow
@@ -107,6 +108,14 @@ case class CollectSet(
 
   def this(child: Expression) = this(child, 0, 0)
 
+  override def checkInputDataTypes(): TypeCheckResult = {
+    if (!child.dataType.existsRecursively(_.isInstanceOf[MapType])) {
+      TypeCheckResult.TypeCheckSuccess
+    } else {
+      TypeCheckResult.TypeCheckFailure("collect_set() cannot have map type data")
+    }
+  }
+
   override def withNewMutableAggBufferOffset(newMutableAggBufferOffset: Int): ImperativeAggregate =
     copy(mutableAggBufferOffset = newMutableAggBufferOffset)
 

sql/core/src/test/scala/org/apache/spark/sql/DataFrameAggregateSuite.scala

@@ -457,6 +457,16 @@ class DataFrameAggregateSuite extends QueryTest with SharedSQLContext {
     )
   }
 
+  test("collect_set functions cannot have maps") {
+    val df = Seq((1, 3, 0), (2, 3, 0), (3, 4, 1))
+      .toDF("a", "x", "y")
+      .select($"a", map($"x", $"y").as("b"))
+    val error = intercept[AnalysisException] {
+      df.select(collect_set($"a"), collect_set($"b"))
+    }
+    assert(error.message.contains("collect_set() cannot have map type data"))
+  }
+
   test("SPARK-14664: Decimal sum/avg over window should work.") {
     checkAnswer(
       spark.sql("select sum(a) over () from values 1.0, 2.0, 3.0 T(a)"),