典型的Hadoop架构和MapR架构之间的区别 [英] Difference Between typical Hadoop Architecture and MapR architecture

问题描述

我知道 Hadoop 是基于主/从架构

HDFS 与 NameNodes 和 DataNodes

和 MapReduce 可以与 jobtrackers 和 TaskTracker

但我无法在 MapR 上找到所有这些服务，我发现它有自己的架构服务

我有点困惑，有没有人可以告诉我只使用Hadoop和在MapR中使用它们之间的区别？

解决方案

MapR和apache Hadoop在存储级别不具有相同的体系结构。 MapR使用自己的文件系统MaRFS，它在概念和实现方面与HDFS完全不同。你可以在这里找到更详细的比较： https://www.mapr.com/blog/comparing-mapr-fs-and-hdfs-nfs-and-snapshots#.VfGwwxG6eUk
https://www.mapr.com/resources/videos/comparison-mapr-fs-and-hdfs

I know that Hadoop is based on Master/Slave architecture

HDFS works with NameNodes and DataNodes

and MapReduce works with jobtrackers and Tasktrackers

But I can't find all these services on MapR, I find out that it has its own Architecture with its own services

I'm a little bit confused, could any one please tell me what is the difference between using Hadoop only and using it with MapR !

解决方案

MapR and apache Hadoop DO NOT have same architecture at storage level. MapR uses its own filesystem MaRFS which is completely different from HDFS in terms of concept and implemenation . you can find more detailed comparision here : https://www.mapr.com/blog/comparing-mapr-fs-and-hdfs-nfs-and-snapshots#.VfGwwxG6eUk https://www.mapr.com/resources/videos/comparison-mapr-fs-and-hdfs

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