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Cloudera Administration Handbook

You're reading from   Cloudera Administration Handbook A complete, hands-on guide to building and maintaining large Apache Hadoop clusters using Cloudera Manager and CDH5

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Product type Paperback
Published in Jul 2014
Publisher Packt
ISBN-13 9781783558964
Length 254 pages
Edition 1st Edition
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Author (1):
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Rohit Menon Rohit Menon
Author Profile Icon Rohit Menon
Rohit Menon
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Table of Contents (11) Chapters Close

Preface 1. Getting Started with Apache Hadoop FREE CHAPTER 2. HDFS and MapReduce 3. Cloudera's Distribution Including Apache Hadoop 4. Exploring HDFS Federation and Its High Availability 5. Using Cloudera Manager 6. Implementing Security Using Kerberos 7. Managing an Apache Hadoop Cluster 8. Cluster Monitoring Using Events and Alerts 9. Configuring Backups Index

The read/write operational flow in HDFS


To get a better understanding of HDFS, we need to understand the flow of operations for the following two scenarios:

  • A file is written to HDFS

  • A file is read from HDFS

HDFS uses a single-write, multiple-read model, where the files are written once and read several times. The data cannot be altered once written. However, data can be appended to the file by reopening it. All files in the HDFS are saved as data blocks.

Writing files in HDFS

The following sequence of steps occur when a client tries to write a file to HDFS:

  1. The client informs the namenode daemon that it wants to write a file. The namenode daemon checks to see whether the file already exists.

  2. If it exists, an appropriate message is sent back to the client. If it does not exist, the namenode daemon makes a metadata entry for the new file.

  3. The file to be written is split into data packets at the client end and a data queue is built. The packets in the queue are then streamed to the datanodes in the...

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