Github user wzhfy commented on a diff in the pull request:
    --- Diff: 
    @@ -0,0 +1,209 @@
    + * 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
    + *
    + *
    + *
    + * 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 java.nio.ByteBuffer
    +import scala.collection.immutable.TreeMap
    +import scala.collection.mutable
    +import{Ints, Longs}
    +import org.apache.spark.sql.catalyst.InternalRow
    +import org.apache.spark.sql.catalyst.analysis.TypeCheckResult
    +import org.apache.spark.sql.catalyst.expressions.{Expression, 
    +import org.apache.spark.sql.catalyst.util.ArrayBasedMapData
    +import org.apache.spark.sql.types._
    +import org.apache.spark.unsafe.types.UTF8String
    + * The StringHistogram function returns the histogram bins - (distinct 
value, frequency) pairs
    + * for a string column.
    + * @param child child expression that can produce column value with 
    + * @param numBinsExpression The maximum number of bins. When the number of 
distinct values is
    + *                          larger than this, the function will return an 
empty result.
    + */
    +  usage = "_FUNC_(col, numBins) - Returns histogram bins with the maximum 
number of bins allowed.")
    +case class StringHistogram(
    --- End diff --
    We will support histogram for numeric types, but the logics in that agg 
function will be very different from this. You can refer to discussion on the 

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