Github user rxin commented on a diff in the pull request:

    https://github.com/apache/spark/pull/16431#discussion_r95103316
  
    --- Diff: 
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/estimation/AggregateEstimation.scala
 ---
    @@ -0,0 +1,59 @@
    +/*
    + * Licensed to the Apache Software Foundation (ASF) under one or more
    + * contributor license agreements.  See the NOTICE file distributed with
    + * this work for additional information regarding copyright ownership.
    + * The ASF licenses this file to You under the Apache License, Version 2.0
    + * (the "License"); you may not use this file except in compliance with
    + * the License.  You may obtain a copy of the License at
    + *
    + *    http://www.apache.org/licenses/LICENSE-2.0
    + *
    + * Unless required by applicable law or agreed to in writing, software
    + * distributed under the License is distributed on an "AS IS" BASIS,
    + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
    + * See the License for the specific language governing permissions and
    + * limitations under the License.
    + */
    +
    +package org.apache.spark.sql.catalyst.plans.logical.estimation
    +
    +import org.apache.spark.sql.catalyst.expressions.Attribute
    +import org.apache.spark.sql.catalyst.plans.logical.{Aggregate, Statistics}
    +
    +
    +object AggregateEstimation {
    +  import EstimationUtils._
    +
    +  def estimate(agg: Aggregate): Option[Statistics] = {
    +    val childStats = agg.child.statistics
    +    // Check if we have column stats for all group-by columns.
    +    val colStatsExist = agg.groupingExpressions.forall { e =>
    +      e.isInstanceOf[Attribute] && 
childStats.attributeStats.contains(e.asInstanceOf[Attribute])
    +    }
    +    if (rowCountsExist(agg.child) && colStatsExist) {
    +      // Initial value for agg without group expressions
    +      var outputRows: BigInt = 1
    +      agg.groupingExpressions.map(_.asInstanceOf[Attribute]).foreach { 
attr =>
    +        val colStat = childStats.attributeStats(attr)
    +        // Multiply distinct counts of group by columns. This is an upper 
bound, which assumes
    +        // the data contains all combinations of distinct values of group 
by columns.
    +        outputRows *= colStat.distinctCount
    +      }
    +
    +      // The number of output rows must not be larger than child's number 
of rows.
    +      // Note that this also covers the case of uniqueness of column. If 
one of the group-by columns
    --- End diff --
    
    OK I don't think you need this explanation here -- it simply makes it more 
confusing. You are just putting an upper bound on cardinality, and that 
explains everything.


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