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Mastering Hadoop

You're reading from   Mastering Hadoop Go beyond the basics and master the next generation of Hadoop data processing platforms

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Product type Paperback
Published in Dec 2014
Publisher
ISBN-13 9781783983643
Length 374 pages
Edition 1st Edition
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Author (1):
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Sandeep Karanth Sandeep Karanth
Author Profile Icon Sandeep Karanth
Sandeep Karanth
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Table of Contents (15) Chapters Close

Preface 1. Hadoop 2.X FREE CHAPTER 2. Advanced MapReduce 3. Advanced Pig 4. Advanced Hive 5. Serialization and Hadoop I/O 6. YARN – Bringing Other Paradigms to Hadoop 7. Storm on YARN – Low Latency Processing in Hadoop 8. Hadoop on the Cloud 9. HDFS Replacements 10. HDFS Federation 11. Hadoop Security 12. Analytics Using Hadoop A. Hadoop for Microsoft Windows Index

Limitations of the older HDFS architecture

The older HDFS architecture had two main components, which are as follows:

  • Namespace: This is the HDFS component that handles building blocks such as directories, files, and the actual file blocks. The Namespace component supports the create, delete, list, and update/modify operations on these building blocks. The Namespace component is within the NameNode daemon.
  • Block Storage Service: This is the HDFS component that handles file block management. The block storage component is divided between the NameNode and DataNode. The DataNode part of the block storage service takes care of block storage on the local machine in a cluster. It provides read and write services for the blocks. The NameNode part of the block storage performs the following actions:
    • Taking care of DataNode registrations, monitoring, and health reports.
    • Digesting block reports from DataNodes and storing the location of the file blocks in memory.
    • Dealing with the create, delete, list...
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