Hadoop 1.x：体系结构，主要组件以及HDFS和MapReduce的工作方式-优快云博客

本文深入探讨Apache Hadoop 1.x的体系结构，包括HDFS分布式文件系统和MapReduce批处理模块。HDFS利用商品硬件存储大数据，而MapReduce则采用分布式数据处理模型。文章还解释了这两个主要组件如何协同工作以实现高可用性和容错性。

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Before reading this post, please go through my previous post at “Introduction to Hadoop” to get some Apache Hadoop Basics.

在阅读这篇文章之前，请仔细阅读我在Hadoop简介上的文章，以获取一些Apache Hadoop基础知识。

In this post, we are going to discuss about Apache Hadoop 1.x Architecture and How it’s components work in detail.

在本文中，我们将讨论Apache Hadoop 1.x体系结构及其组件的详细工作方式。

邮政的简要目录 (Post’s Brief Table of Contents)

Hadoop 1.x Architecture
Hadoop 1.x架构
Hadoop 1.x Major Components
Hadoop 1.x主要组件
How Hadoop 1.x Major Components Works
Hadoop 1.x主要组件如何工作
How Store and Compute Operations Work in Hadoop
Hadoop中存储和计算操作的工作方式

Hadoop 1.x架构 (Hadoop 1.x Architecture)

Apache Hadoop 1.x or earlier versions are using the following Hadoop Architecture. It is a Hadoop 1.x High-level Architecture. We will discuss in-detailed Low-level Architecture in coming sections.

Apache Hadoop 1.x或更早版本使用以下Hadoop体系结构。它是Hadoop 1.x高级架构。我们将在接下来的部分中讨论详细的低层架构。

If you don’t understand this Architecture at this stage, no need to worry. Read next sections in this post and also coming posts to understand it very well.

如果您在此阶段不了解此体系结构，则无需担心。阅读这篇文章的下一部分以及以后的文章，以很好地理解它。

Hadoop Common Module is a Hadoop Base API (A Jar file) for all Hadoop Components. All other components works on top of this module.
Hadoop通用模块是适用于所有Hadoop组件的Hadoop基本API（一个Jar文件）。所有其他组件均在此模块上运行。
HDFS stands for Hadoop Distributed File System. It is also know as HDFS V1 as it is part of Hadoop 1.x. It is used as a Distributed Storage System in Hadoop Architecture.
HDFS代表Hadoop分布式文件系统。它也被称为HDFS V1，因为它是Hadoop 1.x的一部分。它用作Hadoop体系结构中的分布式存储系统。
MapReduce is a Batch Processing or Distributed Data Processing Module. It is built by following Google’s Ma