window函数 resetAccumulator
/*
* 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 java.lang.Iterable import org.apache.flink.api.common.functions.{MapPartitionFunction, RichGroupReduceFunction}
import org.apache.flink.configuration.Configuration
import org.apache.flink.table.codegen.{Compiler, GeneratedAggregationsFunction}
import org.apache.flink.table.util.Logging
import org.apache.flink.types.Row
import org.apache.flink.util.Collector /**
* [[RichGroupReduceFunction]] and [[MapPartitionFunction]] to compute aggregates that do
* not support pre-aggregation for batch(DataSet) queries.
*
* @param genAggregations Code-generated [[GeneratedAggregations]]
*/
class DataSetAggFunction(
private val genAggregations: GeneratedAggregationsFunction)
extends RichGroupReduceFunction[Row, Row]
with MapPartitionFunction[Row, Row]
with Compiler[GeneratedAggregations] with Logging { private var output: Row = _
private var accumulators: Row = _ private var function: GeneratedAggregations = _ override def open(config: Configuration) {
LOG.debug(s"Compiling AggregateHelper: $genAggregations.name \n\n " +
s"Code:\n$genAggregations.code")
val clazz = compile(
getRuntimeContext.getUserCodeClassLoader,
genAggregations.name,
genAggregations.code)
LOG.debug("Instantiating AggregateHelper.")
function = clazz.newInstance() output = function.createOutputRow()
accumulators = function.createAccumulators()
} /**
* Computes a non-pre-aggregated aggregation.
*
* @param records An iterator over all records of the group.
* @param out The collector to hand results to.
*/
override def reduce(records: Iterable[Row], out: Collector[Row]): Unit = { // reset accumulators
function.resetAccumulator(accumulators) val iterator = records.iterator() var record: Row = null
while (iterator.hasNext) {
record = iterator.next() // accumulate
function.accumulate(accumulators, record)
} // set group keys value to final output
function.setForwardedFields(record, output) // set agg results to output
function.setAggregationResults(accumulators, output) out.collect(output)
} /**
* Computes a non-pre-aggregated aggregation and returns a row even if the input is empty.
*
* @param records An iterator over all records of the partition.
* @param out The collector to hand results to.
*/
override def mapPartition(records: Iterable[Row], out: Collector[Row]): Unit = {
reduce(records, out)
} } 、、、、、、、、、、、、、、、、、、、、、、、、、、、、、、、、、、、、、、、、、、、、、、、、、、、、、、、、、、、、、
/*
* 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 java.lang.Iterable import org.apache.flink.api.common.functions.RichGroupReduceFunction
import org.apache.flink.configuration.Configuration
import org.apache.flink.table.codegen.{Compiler, GeneratedAggregationsFunction}
import org.apache.flink.table.util.Logging
import org.apache.flink.types.Row
import org.apache.flink.util.Collector /**
* It wraps the aggregate logic inside of
* [[org.apache.flink.api.java.operators.GroupReduceOperator]]. It is used for tumbling time-window
* on batch.
*
* @param genAggregations Code-generated [[GeneratedAggregations]]
* @param windowSize Tumbling time window size
* @param windowStartPos The relative window-start field position to the last field of output row
* @param windowEndPos The relative window-end field position to the last field of output row
* @param windowRowtimePos The relative window-rowtime field position to the last field of
* output row
* @param keysAndAggregatesArity The total arity of keys and aggregates
*/
class DataSetTumbleTimeWindowAggReduceGroupFunction(
genAggregations: GeneratedAggregationsFunction,
windowSize: Long,
windowStartPos: Option[Int],
windowEndPos: Option[Int],
windowRowtimePos: Option[Int],
keysAndAggregatesArity: Int)
extends RichGroupReduceFunction[Row, Row]
with Compiler[GeneratedAggregations]
with Logging { private var collector: DataSetTimeWindowPropertyCollector = _
protected var aggregateBuffer: Row = new Row(keysAndAggregatesArity + 1) private var output: Row = _
protected var accumulators: Row = _ protected var function: GeneratedAggregations = _ override def open(config: Configuration) {
LOG.debug(s"Compiling AggregateHelper: $genAggregations.name \n\n " +
s"Code:\n$genAggregations.code")
val clazz = compile(
getRuntimeContext.getUserCodeClassLoader,
genAggregations.name,
genAggregations.code)
LOG.debug("Instantiating AggregateHelper.")
function = clazz.newInstance() output = function.createOutputRow()
accumulators = function.createAccumulators()
collector = new DataSetTimeWindowPropertyCollector(
windowStartPos,
windowEndPos,
windowRowtimePos)
} override def reduce(records: Iterable[Row], out: Collector[Row]): Unit = { var last: Row = null
val iterator = records.iterator() // reset accumulator
function.resetAccumulator(accumulators) while (iterator.hasNext) {
val record = iterator.next()
function.mergeAccumulatorsPair(accumulators, record)
last = record
} // set group keys value to final output.
function.setForwardedFields(last, output) // get final aggregate value and set to output.
function.setAggregationResults(accumulators, output) // get window start timestamp
val startTs: Long = last.getField(keysAndAggregatesArity).asInstanceOf[Long] // set collector and window
collector.wrappedCollector = out
collector.windowStart = startTs
collector.windowEnd = startTs + windowSize collector.collect(output)
} }
window函数 resetAccumulator的更多相关文章
- DStream-04 Window函数的原理和源码
DStream 中 window 函数有两种,一种是普通 WindowedDStream,另外一种是针对 window聚合 优化的 ReducedWindowedDStream. Demo objec ...
- MySQL 对window函数执行sum函数疑似Bug
MySQL 对window函数执行sum函数疑似Bug 使用MySql的窗口函数统计数据时,发现一个小的问题,与大家一起探讨下. 环境配置: mysql-installer-community-8.0 ...
- 使用streaming window函数统计用户不同时间段平均消费金额等指标
场景 现在餐厅老板已经不满足仅仅统计历史用户消费金额总数了,他想知道每个用户半年,每个月,每天,或者一小时消费的总额,来店消费的次数以及平均金额. 给出的例子计算的是每5秒,每30秒,每1分钟的用户消 ...
- javascript中的this与函数讲解
前言 javascript中没有块级作用域(es6以前),javascript中作用域分为函数作用域和全局作用域.并且,大家可以认为全局作用域其实就是Window函数的函数作用域,我们编写的js代码, ...
- avascript中的this与函数讲解
徐某某 一个半路出家的野生程序员 javascript中的this与函数讲解 前言 javascript中没有块级作用域(es6以前),javascript中作用域分为函数作用域和全局作用域.并且,大 ...
- javascript篇-----函数作用域,函数作用域链和声明提前
在一些类似C语言的编程语言中,花括号内的每一段代码都具有各自的作用域,而且变量在声明它们的代码段之外是不可见的(也就是我们不能在代码段外直接访问代码段内声明的变量),我们称之为块级作用域,然而,不同于 ...
- javascript 函数声明与函数表达式的区别
先看一段代码 var f = function g() { return 1; }; if (false) { f = function g(){ return 2; }; } alert(g()); ...
- javascript + jquery函数大全
JAVASCRIPT Array 函数 array创建数组 concat()连接两个或更多的数组,并返回结果. join()把数组中所有元素组成字符串. pop()删除并返回数组的最后一个元素 s ...
- JavaScript window
window -- window对象是BOM中所有对象的核心 window,中文"窗口" window对象除了是BOM中所有对象的父对象外,还包含一些窗口控制函数 全局的windo ...
随机推荐
- HTML5 Audio标签方法和函数API介绍
问说网 > 文章教程 > 网页制作 > HTML5 Audio标签方法和函数API介绍 Audio APIHTML5HTML5 Audio预加载 HTML5 Audio标签方法和函数 ...
- Huginn部署到 Heroku
折腾了几个小时,现在记录下安装步骤 1.本机Win10,放弃本地安装,官网建议也是, 2.安装虚拟机,装ubuntu系统 3.更换国内源(包括apt和gem,bunlde)ruby中国 4.注册her ...
- 【CAS单点登录视频教程】 第01集-- 认识CAS
CAS 是什么? 目录 ----------------------------------------- [CAS单点登录视频教程] 第06集[完] -- Cas认证 学习 票据认证FormsAut ...
- Distributed systems theory for the distributed systems engineer
Gwen Shapira, SA superstar and now full-time engineer at Cloudera, asked a question on Twitter that ...
- JavaScript概念梳理
一.JavaScript 的奇葩命名史 1995 年,网景浏览器(Netscape Navigator)首次发布了一种运行于浏览器端的脚本语言,网景给这个新语言命名为 LiveScript.一年后,为 ...
- mget命令, ftp命令详解
一:mget命令下载FTP服务器上的多个文件 命令行模式下使用ftp来下载东西还是比较方便的,如果下载一个目录中的多个文件该如何处理呢? 还用每个文件都用get来获得?显然那样很麻烦...... 命令 ...
- Vue.js 添加组件
<!DOCTYPE HTML> <html> <head> <title>vue.js hello world</title> <sc ...
- 【代码导读】Github 开源项目——wysihtml5 富编辑器(Bootstrap 风格)【一】
如果你经常留迹于各大论坛.博客,肯定对它们的富编辑器稍有印象.纯 Javascript 富编辑器可以说是前台 JS 脚本的巅峰作品.一款完整的编辑器,其复杂的功能,会让你遇到各种头痛的浏览器兼容问题, ...
- <welcome-file>index.action</welcome-file>直接设置action,404和struts2中的解决方案
这几天的项目页面的访问全部改为.action访问,在修改首页时遇到了问题.将web.xml文件中<welcome-file>index.action</welcome-file> ...
- redis常用性能分析命令
一.连接 src/redis-cli -h 10.20.137.141 -p 6379 >auth 123456789 src/redis-cli -h 10.20.137.141 -p 637 ...