[SPARK-4625] [SQL] Add sort by for DSL & SimpleSqlParser

sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/SqlParser.scala

@@ -85,6 +85,7 @@ class SqlParser extends AbstractSparkSQLParser {
   protected val ON = Keyword("ON")
   protected val OR = Keyword("OR")
   protected val ORDER = Keyword("ORDER")
+  protected val SORT = Keyword("SORT")
   protected val OUTER = Keyword("OUTER")
   protected val OVERWRITE = Keyword("OVERWRITE")
   protected val REGEXP = Keyword("REGEXP")
@@ -140,7 +141,7 @@ class SqlParser extends AbstractSparkSQLParser {
       (WHERE  ~> expression).? ~
       (GROUP  ~  BY ~> rep1sep(expression, ",")).? ~
       (HAVING ~> expression).? ~
-      (ORDER  ~  BY ~> ordering).? ~
+      sortType.? ~
       (LIMIT  ~> expression).? ^^ {
         case d ~ p ~ r ~ f ~ g ~ h ~ o ~ l  =>
           val base = r.getOrElse(NoRelation)
@@ -150,7 +151,7 @@ class SqlParser extends AbstractSparkSQLParser {
             .getOrElse(Project(assignAliases(p), withFilter))
           val withDistinct = d.map(_ => Distinct(withProjection)).getOrElse(withProjection)
           val withHaving = h.map(Filter(_, withDistinct)).getOrElse(withDistinct)
-          val withOrder = o.map(Sort(_, withHaving)).getOrElse(withHaving)
+          val withOrder = o.map(_(withHaving)).getOrElse(withHaving)
           val withLimit = l.map(Limit(_, withOrder)).getOrElse(withOrder)
           withLimit
       }
@@ -202,6 +203,11 @@ class SqlParser extends AbstractSparkSQLParser {
     | FULL  ~ OUTER.? ^^^ FullOuter
     )
 
+  protected lazy val sortType: Parser[LogicalPlan => LogicalPlan] =
+    ( ORDER ~ BY  ~> ordering ^^ { case o => l: LogicalPlan => Sort(o, l) }
+    | SORT ~ BY  ~> ordering ^^ { case o => l: LogicalPlan => SortPartitions(o, l) }
+    )
+
   protected lazy val ordering: Parser[Seq[SortOrder]] =
     ( rep1sep(singleOrder, ",")
     | rep1sep(expression, ",") ~ direction.? ^^ {

sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/dsl/package.scala

@@ -244,6 +244,8 @@ package object dsl {
 
     def orderBy(sortExprs: SortOrder*) = Sort(sortExprs, logicalPlan)
 
+    def sortBy(sortExprs: SortOrder*) = SortPartitions(sortExprs, logicalPlan)
+
     def groupBy(groupingExprs: Expression*)(aggregateExprs: Expression*) = {
       val aliasedExprs = aggregateExprs.map {
         case ne: NamedExpression => ne

sql/core/src/main/scala/org/apache/spark/sql/SchemaRDD.scala

@@ -216,6 +216,19 @@ class SchemaRDD(
   def orderBy(sortExprs: SortOrder*): SchemaRDD =
     new SchemaRDD(sqlContext, Sort(sortExprs, logicalPlan))
 
+  /**
+   * Sorts the results by the given expressions within partition.
+   * {{{
+   *   schemaRDD.sortBy('a)
+   *   schemaRDD.sortBy('a, 'b)
+   *   schemaRDD.sortBy('a.asc, 'b.desc)
+   * }}}
+   *
+   * @group Query
+   */
+  def sortBy(sortExprs: SortOrder*): SchemaRDD =
+    new SchemaRDD(sqlContext, SortPartitions(sortExprs, logicalPlan))
+
   @deprecated("use limit with integer argument", "1.1.0")
   def limit(limitExpr: Expression): SchemaRDD =
     new SchemaRDD(sqlContext, Limit(limitExpr, logicalPlan))

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

@@ -120,6 +120,24 @@ class DslQuerySuite extends QueryTest {
       mapData.collect().sortBy(_.data(1)).reverse.toSeq)
   }
 
+  test("sorting #2") {
+    checkAnswer(
+      testData2.sortBy('a.asc, 'b.asc),
+      Seq((1,1), (1,2), (2,1), (2,2), (3,1), (3,2)))
+
+    checkAnswer(
+      testData2.sortBy('a.asc, 'b.desc),
+      Seq((1,2), (1,1), (2,2), (2,1), (3,2), (3,1)))
+
+    checkAnswer(
+      testData2.sortBy('a.desc, 'b.desc),
+      Seq((3,2), (3,1), (2,2), (2,1), (1,2), (1,1)))
+
+    checkAnswer(
+      testData2.sortBy('a.desc, 'b.asc),
+      Seq((3,1), (3,2), (2,1), (2,2), (1,1), (1,2)))
+  }
+
   test("limit") {
     checkAnswer(
       testData.limit(10),

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

@@ -43,6 +43,13 @@ class SQLQuerySuite extends QueryTest with BeforeAndAfterAll {
     TimeZone.setDefault(origZone)
   }
 
+  test("SPARK-4625 support SORT BY in SimpleSQLParser & DSL") {
+    checkAnswer(
+      sql("SELECT a FROM testData2 SORT BY a"),
+      Seq(1, 1, 2 ,2 ,3 ,3).map(Seq(_))
+    )
+  }
+
   test("grouping on nested fields") {
     jsonRDD(sparkContext.parallelize("""{"nested": {"attribute": 1}, "value": 2}""" :: Nil))
      .registerTempTable("rows")