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Mastering Hadoop 3

You're reading from  Mastering Hadoop 3

Product type Book
Published in Feb 2019
Publisher Packt
ISBN-13 9781788620444
Pages 544 pages
Edition 1st Edition
Languages
Authors (2):
Chanchal Singh Chanchal Singh
Profile icon Chanchal Singh
Manish Kumar Manish Kumar
Profile icon Manish Kumar
View More author details

Table of Contents (23) Chapters

Title Page
Dedication
About Packt
Foreword
Contributors
Preface
Journey to Hadoop 3 Deep Dive into the Hadoop Distributed File System YARN Resource Management in Hadoop Internals of MapReduce SQL on Hadoop Real-Time Processing Engines Widely Used Hadoop Ecosystem Components Designing Applications in Hadoop Real-Time Stream Processing in Hadoop Machine Learning in Hadoop Hadoop in the Cloud Hadoop Cluster Profiling Who Can Do What in Hadoop Network and Data Security Monitoring Hadoop Other Books You May Enjoy Index

NameNode internals


HDFS is a distributed File System for storing and managing large datasets. It divides large datasets into small data chunks where each data chunk is stored on different nodes that are part of the Hadoop cluster. However, HDFS hides these underlying complexities of dividing data into smaller chunks and copying that data to different nodes behind abstract file operation APIs. For HDFS users, these file operation APIs are just read/write/create/delete operations. All a HDFS user needs to know about is the Hadoop namespace and file URIs. But in reality, lots of steps are performed before those operations are completed. One of the key HDFS components in achieving all of these activities is NameNode. NameNode in Hadoop is a central component that regulates any operations on HDFS using file metadata that's stored in it. In other words, it manages HDFS file namespaces. NameNode performs the following functions:

  • It maintains the metadata of files and directories stored in HDFS....
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