REDUCER in English translation

• reducer
• reducers

Examples of using Reducer in Chinese and their translations into English

使用createStore创建的“纯正”store只支持普通对象类型的action，而且会立即传到reducer来执行。
The“vanilla” store implementation you get by calling createStore only supports plain object actions and hands them immediately to the reducer.

在MapReduce模型中，数据的处理原语被称为mapper和reducer.
Under the MapReduce model, the data processing primitives are called mappers and reducers.

MapReduce程序有着两个组件：一个实现了mapper，另一个实现了reducer。
Basically MapReduce has two components, one is the Mapper and the other is the Reducer.

例如，Redux会让你组合reducer，而不是在每个reducer中处理整个应用程序状态。
For instance, Redux lets you compose reducers instead of deal with the full app state inside each reducer.

MapReduce程序有着两个组件：一个实现了mapper，另一个实现了reducer。
A MapReduce program has two components: one that implements the mapper, and another that implements the reducer.

当需要拆分数据处理逻辑时，你应该使用reducer组合而不是创建多个store。
When we want to split the data handling logic, we need to use the reducer composition instead of many stores.

此实用程序允许您使用任何可执行文件或脚本创建和运行Map/Reduce作业作为映射器和/或reducer。
The utility allows you to create and run Map/Reduce jobs with any executable or script as the mapper and/or the reducer.

Reducer只是一些纯函数，它接收先前的state和触发action，并返回新的state。
The reducer is a pure function that takes the current state and an action, and returns the next state.

Store会把两个参数传入reducer：当前的state树和action。
The store passes in two arguments to the reducer: the current state and the actual action object.

系统执行排序，并将map输出作为输入传给reducer的过程--被称为洗牌（shuffle）。
The process by which the system performs the sort and transfers the map outputs to the reducer as inputs is known as the shuffle.

Reducer生成的数据类型由setOutputKeyClass()和setOutputValueClass()方法设定。
The data types emitted by the reducer are identified by setOutputKeyClass() and setOutputValueClass().

HadoopStreaming是一种运行作业的实用工具，它允许用户创建和运行任何可执行程序(例如：Shell工具)来做为mapper和reducer。
Hadoop Streaming- a utility that allows you to create and run jobs with any executables(for example, shell utilities) as the mapper and/or the reducer.

正如在MapReduceJob中reducer的数量是一个重要的参数一样，stage边界上的partition数量也能够决定一个应用的性能。
Just as the number of reducers is an important parameter in MapReduce jobs, the number of partitions at stage boundaries can determine an application's performance.

核心减速机品牌ReducerBrand.
Reducer Brand.

我们先看看Mapper和Reducer接口。
Let us first take the Mapper and Reducer interfaces.

译[Hadoop]Reducer总是能复用为Combiner？?
Can Reducer always be reused for Combiner?

表3.2用于发出开始和结束标记的reducer.
Table 3.2 Reducer for issuing start and end tags.

Reducer只是一个纯函数，所以很容易测试。
Since this reducer is a pure function, that makes it easy to test.

例如，Redux会让你组合reducer，而不是在每个reducer中处理整个应用程序状态。
By way of example, Redux lets you compose reducers instead of deal with the whole app state inside each reducer.

每个reducer都可以在Map任务完成后立即执行.
That is, reduce tasks can begin as soon as any map task completes.