[SPARK-20311][SQL] Support aliases for table value functions

sql/catalyst/src/main/antlr4/org/apache/spark/sql/catalyst/parser/SqlBase.g4

@@ -472,15 +472,23 @@ identifierComment
     ;
 
 relationPrimary
-    : tableIdentifier sample? (AS? strictIdentifier)?               #tableName
-    | '(' queryNoWith ')' sample? (AS? strictIdentifier)?           #aliasedQuery
-    | '(' relation ')' sample? (AS? strictIdentifier)?              #aliasedRelation
-    | inlineTable                                                   #inlineTableDefault2
-    | identifier '(' (expression (',' expression)*)? ')'            #tableValuedFunction
+    : tableIdentifier sample? (AS? strictIdentifier)?      #tableName
+    | '(' queryNoWith ')' sample? (AS? strictIdentifier)?  #aliasedQuery
+    | '(' relation ')' sample? (AS? strictIdentifier)?     #aliasedRelation
+    | inlineTable                                          #inlineTableDefault2
+    | functionTable                                        #tableValuedFunction
     ;
 
 inlineTable
-    : VALUES expression (',' expression)*  (AS? identifier identifierList?)?
+    : VALUES expression (',' expression)* tableAlias
+    ;
+
+functionTable
+    : identifier '(' (expression (',' expression)*)? ')' tableAlias
+    ;
+
+tableAlias
+    : (AS? strictIdentifier identifierList?)?
     ;
 
 rowFormat

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

@@ -19,8 +19,8 @@ package org.apache.spark.sql.catalyst.analysis
 
 import java.util.Locale
 
-import org.apache.spark.sql.catalyst.expressions.Expression
-import org.apache.spark.sql.catalyst.plans.logical.{LogicalPlan, Range}
+import org.apache.spark.sql.catalyst.expressions.{Alias, Expression}
+import org.apache.spark.sql.catalyst.plans.logical.{LogicalPlan, Project, Range}
 import org.apache.spark.sql.catalyst.rules._
 import org.apache.spark.sql.types.{DataType, IntegerType, LongType}
 
@@ -105,7 +105,7 @@ object ResolveTableValuedFunctions extends Rule[LogicalPlan] {
 
   override def apply(plan: LogicalPlan): LogicalPlan = plan resolveOperators {
     case u: UnresolvedTableValuedFunction if u.functionArgs.forall(_.resolved) =>
-      builtinFunctions.get(u.functionName.toLowerCase(Locale.ROOT)) match {
+      val resolvedFunc = builtinFunctions.get(u.functionName.toLowerCase(Locale.ROOT)) match {
         case Some(tvf) =>
           val resolved = tvf.flatMap { case (argList, resolver) =>
             argList.implicitCast(u.functionArgs) match {
@@ -125,5 +125,21 @@ object ResolveTableValuedFunctions extends Rule[LogicalPlan] {
         case _ =>
           u.failAnalysis(s"could not resolve `${u.functionName}` to a table-valued function")
       }
+
+      // If alias names assigned, add `Project` with the aliases
+      if (u.outputNames.nonEmpty) {
+        val outputAttrs = resolvedFunc.output
+        // Checks if the number of the aliases is equal to expected one
+        if (u.outputNames.size != outputAttrs.size) {
+          u.failAnalysis(s"expected ${outputAttrs.size} columns but " +
+            s"found ${u.outputNames.size} columns")
+        }
+        val aliases = outputAttrs.zip(u.outputNames).map {
+          case (attr, name) => Alias(attr, name)()
+        }
+        Project(aliases, resolvedFunc)
+      } else {
+        resolvedFunc
+      }
   }
 }

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

@@ -66,10 +66,16 @@ case class UnresolvedInlineTable(
 /**
  * A table-valued function, e.g.
  * {{{
- *   select * from range(10);
+ *   select id from range(10);
+ *
+ *   // Assign alias names
+ *   select t.a from range(10) t(a);
  * }}}
  */
-case class UnresolvedTableValuedFunction(functionName: String, functionArgs: Seq[Expression])
+case class UnresolvedTableValuedFunction(
+    functionName: String,
+    functionArgs: Seq[Expression],
+    outputNames: Seq[String])
   extends LeafNode {
 
   override def output: Seq[Attribute] = Nil

sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/parser/AstBuilder.scala

@@ -687,7 +687,16 @@ class AstBuilder extends SqlBaseBaseVisitor[AnyRef] with Logging {
    */
   override def visitTableValuedFunction(ctx: TableValuedFunctionContext)
       : LogicalPlan = withOrigin(ctx) {
-    UnresolvedTableValuedFunction(ctx.identifier.getText, ctx.expression.asScala.map(expression))
+    val func = ctx.functionTable
+    val aliases = if (func.tableAlias.identifierList != null) {
+      visitIdentifierList(func.tableAlias.identifierList)
+    } else {
+      Seq.empty
+    }
+
+    val tvf = UnresolvedTableValuedFunction(
+      func.identifier.getText, func.expression.asScala.map(expression), aliases)
+    tvf.optionalMap(func.tableAlias.strictIdentifier)(aliasPlan)
   }
 
   /**
@@ -705,14 +714,14 @@ class AstBuilder extends SqlBaseBaseVisitor[AnyRef] with Logging {
       }
     }
 
-    val aliases = if (ctx.identifierList != null) {
-      visitIdentifierList(ctx.identifierList)
+    val aliases = if (ctx.tableAlias.identifierList != null) {
+      visitIdentifierList(ctx.tableAlias.identifierList)
     } else {
       Seq.tabulate(rows.head.size)(i => s"col${i + 1}")
     }
 
     val table = UnresolvedInlineTable(aliases, rows)
-    table.optionalMap(ctx.identifier)(aliasPlan)
+    table.optionalMap(ctx.tableAlias.strictIdentifier)(aliasPlan)
   }
 
   /**

sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/AnalysisSuite.scala

@@ -25,7 +25,6 @@ import org.apache.spark.sql.catalyst.TableIdentifier
 import org.apache.spark.sql.catalyst.dsl.expressions._
 import org.apache.spark.sql.catalyst.dsl.plans._
 import org.apache.spark.sql.catalyst.expressions._
-import org.apache.spark.sql.catalyst.parser.CatalystSqlParser
 import org.apache.spark.sql.catalyst.plans.Cross
 import org.apache.spark.sql.catalyst.plans.logical._
 import org.apache.spark.sql.types._
@@ -441,4 +440,17 @@ class AnalysisSuite extends AnalysisTest with ShouldMatchers {
 
     checkAnalysis(SubqueryAlias("tbl", testRelation).as("tbl2"), testRelation)
   }
+
+  test("SPARK-20311 range(N) as alias") {
+    def rangeWithAliases(args: Seq[Int], outputNames: Seq[String]): LogicalPlan = {
+      SubqueryAlias("t", UnresolvedTableValuedFunction("range", args.map(Literal(_)), outputNames))
+        .select(star())
+    }
+    assertAnalysisSuccess(rangeWithAliases(3 :: Nil, "a" :: Nil))
+    assertAnalysisSuccess(rangeWithAliases(1 :: 4 :: Nil, "b" :: Nil))
+    assertAnalysisSuccess(rangeWithAliases(2 :: 6 :: 2 :: Nil, "c" :: Nil))
+    assertAnalysisError(
+      rangeWithAliases(3 :: Nil, "a" :: "b" :: Nil),
+      Seq("expected 1 columns but found 2 columns"))
+  }
 }

sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/parser/PlanParserSuite.scala

@@ -468,7 +468,18 @@ class PlanParserSuite extends PlanTest {
   test("table valued function") {
     assertEqual(
       "select * from range(2)",
-      UnresolvedTableValuedFunction("range", Literal(2) :: Nil).select(star()))
+      UnresolvedTableValuedFunction("range", Literal(2) :: Nil, Seq.empty).select(star()))
+  }
+
+  test("SPARK-20311 range(N) as alias") {
+    assertEqual(
+      "select * from range(10) AS t",
+      SubqueryAlias("t", UnresolvedTableValuedFunction("range", Literal(10) :: Nil, Seq.empty))
+        .select(star()))
+    assertEqual(
+      "select * from range(7) AS t(a)",
+      SubqueryAlias("t", UnresolvedTableValuedFunction("range", Literal(7) :: Nil, "a" :: Nil))
+        .select(star()))
   }
 
   test("inline table") {

sql/core/src/test/resources/sql-tests/inputs/table-valued-functions.sql

@@ -24,3 +24,7 @@ select * from RaNgE(2);
 
 -- Explain
 EXPLAIN select * from RaNgE(2);
+
+-- cross-join table valued functions
+set spark.sql.crossJoin.enabled=true;
+EXPLAIN EXTENDED select * from range(3) cross join range(3);

sql/core/src/test/resources/sql-tests/results/table-valued-functions.sql.out

@@ -1,5 +1,5 @@
 -- Automatically generated by SQLQueryTestSuite
--- Number of queries: 9
+-- Number of queries: 11
 
 
 -- !query 0
@@ -103,3 +103,41 @@ struct<plan:string>
 -- !query 8 output
 == Physical Plan ==
 *Range (0, 2, step=1, splits=2)
+
+
+-- !query 9
+set spark.sql.crossJoin.enabled=true
+-- !query 9 schema
+struct<key:string,value:string>
+-- !query 9 output
+spark.sql.crossJoin.enabled	true
+
+
+-- !query 10
+EXPLAIN EXTENDED select * from range(3) cross join range(3)
+-- !query 10 schema
+struct<plan:string>
+-- !query 10 output
+== Parsed Logical Plan ==
+'Project [*]
++- 'Join Cross
+   :- 'UnresolvedTableValuedFunction range, [3]
+   +- 'UnresolvedTableValuedFunction range, [3]
+
+== Analyzed Logical Plan ==
+id: bigint, id: bigint
+Project [id#xL, id#xL]
++- Join Cross
+   :- Range (0, 3, step=1, splits=None)
+   +- Range (0, 3, step=1, splits=None)
+
+== Optimized Logical Plan ==
+Join Cross
+:- Range (0, 3, step=1, splits=None)
++- Range (0, 3, step=1, splits=None)
+
+== Physical Plan ==
+BroadcastNestedLoopJoin BuildRight, Cross
+:- *Range (0, 3, step=1, splits=2)
++- BroadcastExchange IdentityBroadcastMode
+   +- *Range (0, 3, step=1, splits=2)