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From fhueske <...@git.apache.org>
Subject [GitHub] flink pull request #3550: [FLINK-5654] - Add processing time OVER RANGE BETW...
Date Fri, 17 Mar 2017 11:34:50 GMT
Github user fhueske commented on a diff in the pull request:

    https://github.com/apache/flink/pull/3550#discussion_r106547382
  
    --- Diff: flink-libraries/flink-table/src/main/scala/org/apache/flink/table/runtime/aggregate/DataStreamProcTimeAggregateGlobalWindowFunction.scala
---
    @@ -0,0 +1,104 @@
    +/*
    + * 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.runtime.aggregate
    +
    +import org.apache.flink.streaming.api.functions.windowing.RichAllWindowFunction
    +import org.apache.flink.types.Row
    +import org.apache.flink.util.Collector
    +import org.apache.flink.streaming.api.windowing.windows.Window
    +import org.apache.flink.configuration.Configuration
    +import org.apache.flink.table.functions.Accumulator
    +
    +import java.lang.Iterable
    +import org.apache.flink.api.java.typeutils.RowTypeInfo
    +import org.apache.flink.table.functions.AggregateFunction
    +
    +
    +
    + //org.apache.flink.streaming.api.functions.windowing.AllWindowFunction
    +
    +class DataStreamProcTimeAggregateGlobalWindowFunction[W <: Window](
    +     private val aggregates: Array[AggregateFunction[_]],
    +     private val aggFields: Array[Int],
    +     private val forwardedFieldCount: Int)
    +     extends RichAllWindowFunction[Row, Row, W] {
    +  
    +private var output: Row = _
    +private var accumulators: Row= _
    + 
    +
    + override def open(parameters: Configuration): Unit = {
    +     output = new Row(forwardedFieldCount + aggregates.length)
    +     accumulators = new Row(aggregates.length)
    +     var i = 0
    +     while (i < aggregates.length) {
    +        accumulators.setField(i, aggregates(i).createAccumulator())
    +        i = i + 1
    +     }
    +  }
    +   
    + override def apply(
    +      window: W,
    +      records: Iterable[Row],
    +      out: Collector[Row]): Unit = {
    +
    +  
    +     var i = 0
    +     //initialize the values of the aggregators by re-creating them
    +     //the design of the Accumulator interface should be extended to enable 
    +     //a reset function for better performance
    +     while (i < aggregates.length) {
    +        accumulators.setField(i, aggregates(i).createAccumulator())
    --- End diff --
    
    Actually, accumulators can be created once in `open()` and be reused after the have been
reset with `AggregateFunction.resetAccumulator()`


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