Map-reduce的意思|示意

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Map-reduce的网络常见释义

多核处理 原创:基于Canopy的高效K-means算法 - 管理论文发表 - xzbu.com 中国论文网 关键词:K-means 多核处理 Map-reduce Canopy [gap=444]Key words: K-means Map-reduce Multi-core Canopy

映射化简 ... LVM 逻辑卷管理 map-reduce 映射化简 namespace 命名空间 ...

增量执行 ... 和shard 增量执行map-reduce 初始化执行Map-Reduce ...

Map-reduce相关短语

1、 incremental map-reduce 增量式映射化简

2、 Map Reduce 映射化简

3、 map&reduce 键值对格式

Map-reduce相关例句

Beyond that, all the algorithms I mentioned earlier are Map-Reduce-ready and should just work when running under the Job submission process outlined in the Hadoop tutorial.

除此之外,我之前提到的所有算法都是支持Map - Reduce的,并且能够在Hadoop教程所述的job提交流程中运行。

We won't go into detail on this topic in this article, but will instead focus on the map, reduce, and formatting output parts.

本文不会详细介绍这个主题,相反,我们主要关注map、reduce、以及格式化输出部分。

Real world implementations of MapReduce would normally assign controllers, map , and reduce tasks to a single system.

显示情况下MapReduce的实现可能通常分配给控制者,map和reduce任务分配给单独的系统。

Outside of applications that view the world through map and reduce primitives, Hadoop is useful as a means of distributing work among a cluster of machines.

在应用程序之外通过map和reduce基元来查看世界,Hadoop作为在计算机集群之间分配工作的方式非常有用。

For example, on distributed platforms, map-reduce coupled with in-memory databases; on System Z, co-deploy for access to enterprise data.

例如,在分布式平台中,使用映射-规约模式加上内存数据库;在System Z中,进行联合部署以实现对企业数据的访问。

This final article in the Hadoop series explored the development of a map and reduce application in Ruby for the Hadoop framework.

这是Hadoop系列的最后一篇文章,探索了在适用于Hadoop框架的Ruby中开发map和reduce应用程序。