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

    https://github.com/apache/spark/pull/14868#discussion_r76761387
  
    --- Diff: 
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/ApproximatePercentile.scala
 ---
    @@ -0,0 +1,304 @@
    +/*
    + * 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.expressions.aggregate
    +
    +import org.apache.spark.sql.AnalysisException
    +import org.apache.spark.sql.catalyst.{InternalRow, ScalaReflectionLock}
    +import org.apache.spark.sql.catalyst.analysis.TypeCheckResult
    +import 
org.apache.spark.sql.catalyst.analysis.TypeCheckResult.{TypeCheckFailure, 
TypeCheckSuccess}
    +import org.apache.spark.sql.catalyst.encoders.ExpressionEncoder
    +import org.apache.spark.sql.catalyst.expressions._
    +import 
org.apache.spark.sql.catalyst.expressions.aggregate.ApproximatePercentile.{PercentileDigest,
 PercentileDigestSerializer}
    +import org.apache.spark.sql.catalyst.util.{ArrayData, GenericArrayData}
    +import org.apache.spark.sql.catalyst.util.QuantileSummaries
    +import 
org.apache.spark.sql.catalyst.util.QuantileSummaries.{defaultCompressThreshold, 
Stats}
    +import org.apache.spark.sql.types._
    +
    +/**
    + * The ApproximatePercentile function returns the approximate 
percentile(s) of a column at the given
    + * percentage(s). A percentile is a watermark value below which a given 
percentage of the column
    + * values fall. For example, the percentile of column `col` at percentage 
50% is the median of
    + * column `col`.
    + *
    + * This function supports partial aggregation.
    + *
    + * @param child child expression that can produce column value with 
`child.eval(inputRow)`
    + * @param percentageExpression Expression that represents a single 
percentage value or
    + *                             a array of percentage values. Each 
percentage value must be between
    --- End diff --
    
    Nit: "a array" => "an array"


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