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

    https://github.com/apache/flink/pull/3354#discussion_r102226285
  
    --- Diff: 
flink-libraries/flink-table/src/main/scala/org/apache/flink/table/functions/builtInAggFuncs/AvgAggFunction.scala
 ---
    @@ -0,0 +1,268 @@
    +/*
    + * 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.flink.table.functions.builtInAggFuncs
    +
    +import java.math.{BigDecimal, BigInteger}
    +import org.apache.flink.table.functions.{Accumulator, AggregateFunction}
    +
    +/**
    +  * Base class for built-in Integral Avg aggregate function
    +  *
    +  * @tparam T the type for the aggregation result
    +  */
    +abstract class IntegralAvgAggFunction[T] extends AggregateFunction[T] {
    +  /** The initial accumulator for Integral Avg aggregate function */
    +  class IntegralAvgAccumulator extends Accumulator {
    --- End diff --
    
    This will be probably handled as a Pojo type which is less efficient than a 
`Tuple2`
    We can define this as 
    
    ```
    import org.apache.flink.api.java.tuple.{Tuple2 => JTuple2} // use Java 
tuple because it's mutable.
    
    class IntegralAvgAccumulator extends JTuple2[Long, Long] with Accumulator
    ``` 
    
    which means that Flink can handle it as a Tuple which is more efficient 
than a POJO which accesses fields (for de/serialization) via reflection.
    
    I think this implementation will also be closer to the code-gen'd version.


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