MAPREDUCE FRAMEWORK 中文是什么意思 - 中文翻译

• mapreduce框架

在 英语 中使用 Mapreduce framework 的示例及其翻译为 中文

The MapReduce framework consists of two parts:.
完整的MapReduce框架包含两部分：.

Today Hadoop is the best MapReduce framework in the market.
今天Hadoop是市场上最知名的MapReduce框架。

The MapReduce framework is broken down into two functional areas:.
MapReduce框架分为两个功能区：.

This file is used to specify which MapReduce framework we are using.
此文件用于指定我们使用的MapReduce框架。

The MapReduce framework is broken down into two functional areas:.
MapReduce框架被划分为两个功能区域:.

We then learn about how the Hadoop MapReduce framework works.
现在我们来学习HadoopMapReduce框架的Combiner。

Big Data: Hadoop MapReduce framework is written using Java.
大数据技术：HadoopMapReduce框架是用Java编写的.

You now have a basic understanding of the Hadoop MapReduce Framework.
现在我们来学习HadoopMapReduce框架的Combiner。

Big data technology: Hadoop MapReduce framework is written in Java.
大数据技术：HadoopMapReduce框架是用Java编写的.

In the MapReduce framework, the job execution is controlled by two types of processes:.
在MapReduce框架中，作业执行受两种类型的进程控制：.

This file is used to specify which MapReduce framework we are using.
该文件用于指定我们正在使用哪个MapReduce框架。

The MapReduce framework becomes the most influential"engine" behind today's big data processing.
MapReduce框架成为当今大数据处理背后的具影响力的“发动机”。

The split-apply-combine strategy is similar to the MapReduce framework developed at Google;
Split-apply-combine策略类似于Google开发的MapReduce框架;

The MapReduce framework becomes the most influential"engine" behind today's big data processing.
MapReduce框架成为当今大数据处理背后的最具影响力的“发动机”。

The output from the map function is processed by the MapReduce framework before being sent to the reduce function.
Map函数的输出由MapReduce框架处理后，最后发送到reduce函数。

And the Google MapReduce framework, is derived from the functional programming language map reduce.
还有Google的MapReduce框架，不就是来源于函数式编程语言的mapreduce吗。

After they built their cluster, though, they started noticing limitations of the Hadoop MapReduce framework.
但是，在构建自己的集群后，他们开始注意到了HadoopMapReduce框架的一些局限性。

The MapReduce framework consists of a single master JobTracker and one slave TaskTracker per cluster-node.
MapReduce框架由每个集群节点的单个主JobTracker和一个从属TaskTracker组成。

Chukwa is built on top of HDFS and MapReduce framework and inherits Hadoop's scalability and robustness.
Chukwa是在Hadoop的HDFS和MapReduce框架之上搭建的，它同时继承了Hadoop的可扩展性和健壮性。

The MapReduce framework consists of a single master JobTracker and one slave TaskTracker per cluster-node.
MapReduceFramework由一个masterJobTracker和多个slaveTaskTracker（每个集群节点是一个TaskTracker）组成。

In this module, you will understand Hadoop MapReduce framework and the working of MapReduce on data stored in HDFS.
在本单元中，您将了解HadoopMapReduce框架和MapReduce对存储在HDFS中的数据的工作。

The Hadoop MapReduce framework takes these concepts and uses them to process large volumes of information.
把它们一起放在MapReduce中Hadoop的MapReduce框架使用了上面的那些概念并用它们来处理大规模的数据信息。

Chukwa is built on top of the Hadoop distributed filesystem(HDFS) and MapReduce framework and inherits Hadoop's scalability and robustness.
Chukwa是建立在Hadoop分布式文件系统（HDFS）和MapReduce框架之上，并继承了Hadoop的可扩展性和鲁棒性。

After that, the MapReduce framework collects all pairs with the same key from all lists and groups them together, creating one group for each key.
之后，MapReduce框架从所有列表中收集具有相同key（这里是k2）的所有键值对，并将它们组合在一起，为每个key创建一个组。

Finally we note that some database researchers are beginning to explore using the MapReduce framework as the basis for building scalable database systems.
最后，我们注意到，一些数据库研究人员也开始研究使用MapReduce框架作为构建可伸缩数据库系统的基础。

Hadoop Distributed File System(HDFS) uses MapReduce framework to process the vast amount of data that takes minutes or hours.
Hadoop分布式文件系统HDFS使用MapReduce框架来处理大量的数据，需要几分钟或几小时。

By restricting the programming model, the MapReduce framework is able to partition the problem into a large number of fine-grained tasks.
通过限制编程模型，MapReduce框架能将问题划分为大量的细粒度task。

At the same time, the fact that HadoopDB relies on MapReduce framework ensures scores on scalability and fault/heterogeneity tolerance similar to Hadoop.
同时，HadoopDB依赖于MapReduce框架的事情确保了系统在高可扩展性和容错、异构性(heterogeneity)方面的效果与Hadoop类似。

Google announced last week the release of open source MapReduce framework for C, called MR4C, that allows developers to run native code in Hadoop framework..
谷歌上周宣布发布C语言版本的MapReduce开源框架MR4C，利用该框架开发者可以在Hadoop框架中运行原生代码。