beliefer commented on a change in pull request #27237: [SPARK-28330][SQL]
Support ANSI SQL: result offset clause in query expression
URL: https://github.com/apache/spark/pull/27237#discussion_r367368588
##########
File path: sql/core/src/main/scala/org/apache/spark/sql/execution/limit.scala
##########
@@ -125,40 +138,92 @@ trait BaseLimitExec extends LimitExec with
CodegenSupport {
child.asInstanceOf[CodegenSupport].produce(ctx, this)
}
- override def doConsume(ctx: CodegenContext, input: Seq[ExprCode], row:
ExprCode): String = {
- // The counter name is already obtained by the upstream operators via
`limitNotReachedChecks`.
- // Here we have to inline it to not change its name. This is fine as we
won't have many limit
- // operators in one query.
- ctx.addMutableState(CodeGenerator.JAVA_INT, countTerm, forceInline = true,
useFreshName = false)
- s"""
- | if ($countTerm < $limit) {
- | $countTerm += 1;
- | ${consume(ctx, input)}
- | }
- """.stripMargin
- }
}
/**
- * Take the first `limit` elements of each child partition, but do not collect
or shuffle them.
+ * Skip the first `offset` elements then take the first `limit` of the
following elements in
+ * each child partition, but do not collect or shuffle them.
*/
-case class LocalLimitExec(limit: Int, child: SparkPlan) extends BaseLimitExec {
+case class LocalLimitExec(limit: Int, child: SparkPlan, offset: Int = 0)
extends BaseLimitExec {
override def outputOrdering: Seq[SortOrder] = child.outputOrdering
override def outputPartitioning: Partitioning = child.outputPartitioning
+
+ override def doExecute(): RDD[InternalRow] = {
+ if (limit == Limit.INVALID_LIMIT.value) {
+ child.execute()
+ } else {
+ child.execute().mapPartitions { iter => iter.take(limit + offset)}
Review comment:
ditto
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