SPARK-2226: [SQL] transform HAVING clauses with aggregate expressions that...

SPARK-2226:  [SQL] transform HAVING clauses with aggregate expressions that aren't in the aggregation list

This change adds an analyzer rule to
  1. find expressions in `HAVING` clause filters that depend on unresolved attributes,
  2. push these expressions down to the underlying aggregates, and then
  3. project them away above the filter.

It also enables the `HAVING` queries in the Hive compatibility suite.

Author: William Benton <willb@redhat.com>

Closes #1497 from willb/spark-2226 and squashes the following commits:

92c9a93 [William Benton] Removed unnecessary import
f1d4f34 [William Benton] Cleanups missed in prior commit
0e1624f [William Benton] Incorporated suggestions from @marmbrus; thanks!
541d4ee [William Benton] Cleanups from review
5a12647 [William Benton] Explanatory comments and stylistic cleanups.
c7f2b2c [William Benton] Whitelist HAVING queries.
29a26e3 [William Benton] Added rule to handle unresolved attributes in HAVING clauses (SPARK-2226)

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

@@ -22,7 +22,6 @@ import org.apache.spark.sql.catalyst.expressions._
 import org.apache.spark.sql.catalyst.plans.logical._
 import org.apache.spark.sql.catalyst.rules._
 
-
 /**
  * A trivial [[Analyzer]] with an [[EmptyCatalog]] and [[EmptyFunctionRegistry]]. Used for testing
  * when all relations are already filled in and the analyser needs only to resolve attribute
@@ -54,6 +53,7 @@ class Analyzer(catalog: Catalog, registry: FunctionRegistry, caseSensitive: Bool
       StarExpansion ::
       ResolveFunctions ::
       GlobalAggregates ::
+      UnresolvedHavingClauseAttributes :: 
       typeCoercionRules :_*),
     Batch("Check Analysis", Once,
       CheckResolution),
@@ -151,6 +151,31 @@ class Analyzer(catalog: Catalog, registry: FunctionRegistry, caseSensitive: Bool
     }
   }
 
+  /**
+   * This rule finds expressions in HAVING clause filters that depend on
+   * unresolved attributes.  It pushes these expressions down to the underlying
+   * aggregates and then projects them away above the filter.
+   */
+  object UnresolvedHavingClauseAttributes extends Rule[LogicalPlan] {
+    def apply(plan: LogicalPlan): LogicalPlan = plan transformUp {
+      case filter @ Filter(havingCondition, aggregate @ Aggregate(_, originalAggExprs, _)) 
+          if !filter.resolved && aggregate.resolved && containsAggregate(havingCondition) => {
+        val evaluatedCondition = Alias(havingCondition,  "havingCondition")()
+        val aggExprsWithHaving = evaluatedCondition +: originalAggExprs
+        
+        Project(aggregate.output,
+          Filter(evaluatedCondition.toAttribute,
+            aggregate.copy(aggregateExpressions = aggExprsWithHaving)))
+      }
+      
+    }
+    
+    protected def containsAggregate(condition: Expression): Boolean =
+      condition
+        .collect { case ae: AggregateExpression => ae }
+        .nonEmpty
+  }
+
   /**
    * When a SELECT clause has only a single expression and that expression is a
    * [[catalyst.expressions.Generator Generator]] we convert the

sql/hive/src/test/resources/golden/having-1-ef81808faeab6d212c3cf32abfc0d873

+4
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sql/hive/src/test/resources/golden/having-3-3fa6387b6a4ece110ac340c7b893964e

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sql/hive/src/test/resources/golden/having-5-4a0c4e521b8a6f6146151c13a2715ff

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sql/hive/src/test/resources/golden/having-7-5ad96cb287df02080da1e2594f08d83e

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sql/hive/src/test/resources/golden/having-9-a79743372d86d77b0ff53a71adcb1cff

+4	val_4
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sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveCompatibilitySuite.scala

@@ -391,6 +391,8 @@ class HiveCompatibilitySuite extends HiveQueryFileTest with BeforeAndAfter {
     "groupby_sort_8",
     "groupby_sort_9",
     "groupby_sort_test_1",
+    "having",
+    "having1",
     "implicit_cast1",
     "innerjoin",
     "inoutdriver",