Github user gatorsmile commented on a diff in the pull request: https://github.com/apache/spark/pull/10451#discussion_r48581020 --- Diff: sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/Optimizer.scala --- @@ -80,6 +81,33 @@ abstract class Optimizer extends RuleExecutor[LogicalPlan] { object DefaultOptimizer extends Optimizer /** + * Pushes down Limit for reducing the amount of returned data. + * + * 1. Adding Extra Limit beneath the operations, including Union All. + * 2. Project is pushed through Limit in the rule ColumnPruning + * + * Any operator that a Limit can be pushed passed should override the maxRows function. + */ +object PushDownLimit extends Rule[LogicalPlan] { + + def apply(plan: LogicalPlan): LogicalPlan = plan transform { + + // Adding extra Limit below UNION ALL iff both left and right childs are not Limit or + // do not have Limit descendants. This heuristic is valid assuming there does not exist + // any Limit push-down rule that is unable to infer the value of maxRows. + // Note, right now, Union means UNION ALL, which does not de-duplicate rows. So, it is + // safe to pushdown Limit through it. Once we add UNION DISTINCT, we will not be able to + // pushdown Limit. + case Limit(exp, Union(left, right)) + if left.maxRows.isEmpty || right.maxRows.isEmpty => --- End diff -- Yeah, you are right. : )
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