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Mastering Hadoop

Mastering Hadoop

By : Karanth
4 (3)
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Mastering Hadoop

Mastering Hadoop

4 (3)
By: Karanth

Overview of this book

Do you want to broaden your Hadoop skill set and take your knowledge to the next level? Do you wish to enhance your knowledge of Hadoop to solve challenging data processing problems? Are your Hadoop jobs, Pig scripts, or Hive queries not working as fast as you intend? Are you looking to understand the benefits of upgrading Hadoop? If the answer is yes to any of these, this book is for you. It assumes novice-level familiarity with Hadoop.
Table of Contents (15 chapters)
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14
Index

HDFS block placement

Replication is an important feature in HDFS; it ensures data reliability against loss and high availability in the face of failures. The default replication factor is 3, though this parameter can be tuned using the dfs.replication configuration parameter. HDFS does not replicate the file as a whole; rather, it chunks the file into fixed size blocks and stores it across the cluster.

The replication factor can be specified at file creation time. It can be changed as and when desired. The salient feature of HDFS is the smart placement of blocks, and this feature distinguishes it from other distributed filesystems. The placement policy is said to be rack-aware, that is, it is cognizant of the physical location of where the block resides. This not only aids in fault tolerance but can also be instrumental in making network bandwidth utilization efficient. Any computing paradigm running on HDFS can make use of this information to minimize the amount of data that needs to be...

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