Github user ron8hu commented on a diff in the pull request: https://github.com/apache/spark/pull/16696#discussion_r98776491 --- Diff: sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/basicLogicalOperators.scala --- @@ -727,37 +728,18 @@ case class GlobalLimit(limitExpr: Expression, child: LogicalPlan) extends UnaryN } override def computeStats(conf: CatalystConf): Statistics = { val limit = limitExpr.eval().asInstanceOf[Int] - val sizeInBytes = if (limit == 0) { - // sizeInBytes can't be zero, or sizeInBytes of BinaryNode will also be zero - // (product of children). - 1 - } else { - (limit: Long) * output.map(a => a.dataType.defaultSize).sum - } - child.stats(conf).copy(sizeInBytes = sizeInBytes) + val childStats = child.stats(conf) + // Don't propagate column stats, because we don't know the distribution after a limit operation + Statistics( + sizeInBytes = EstimationUtils.getOutputSize(output, limit, childStats.attributeStats), --- End diff -- Agreed. We can pick the smaller value between the child node's row count and the limit number.
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