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You're reading from  HBase Administration Cookbook

Product typeBook
Published inAug 2012
PublisherPackt
ISBN-139781849517140
Edition1st Edition
Tools
HadoopHBase
Concepts
Database Administration
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Author (1)
Yifeng Jiang
Yifeng Jiang
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Yifeng Jiang

Yifeng Jiang is a Hadoop and HBase Administrator and Developer at Rakutenthe largest e-commerce company in Japan. After graduating from the University of Science and Technology of China with a B.S. in Information Management Systems, he started his career as a professional software engineer, focusing on Java development. In 2008, he started looking over the Hadoop project. In 2009, he led the development of his previous company's display advertisement data infrastructure using Hadoop and Hive. In 2010, he joined his current employer, where he designed and implemented the Hadoop- and HBase-based, large-scale item ranking system. He is also one of the members of the Hadoop team in the company, which operates several Hadoop/HBase clusters
Read more about Yifeng Jiang

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Setting up Hadoop to spread disk I/O

Modern servers usually have multiple disk devices to provide large storage capacities. These disks are usually configured as RAID arrays, as their factory settings. This is good for many cases but not for Hadoop.

The Hadoop slave node stores HDFS data blocks and MapReduce temporary files on its local disks. These local disk operations benefit from using multiple independent disks to spread disk I/O.

In this recipe, we will describe how to set up Hadoop to use multiple disks to spread its disk I/O.

Getting ready

We assume you have multiple disks for each DataNode node. These disks are in a JBOD (Just a Bunch Of Disks) or RAID0 configuration. Assume that the disks are mounted at /mnt/d0, /mnt/d1, ..., /mnt/dn, and the user who starts HDFS has write permission on each mount point.

How to do it...

In order to set up Hadoop to spread disk I/O, follow these instructions:

  1. 1. On each DataNode node, create directories on each disk for HDFS to store its data blocks...

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HBase Administration Cookbook
Published in: Aug 2012Publisher: PacktISBN-13: 9781849517140
© 2012 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Yifeng Jiang

Yifeng Jiang is a Hadoop and HBase Administrator and Developer at Rakutenthe largest e-commerce company in Japan. After graduating from the University of Science and Technology of China with a B.S. in Information Management Systems, he started his career as a professional software engineer, focusing on Java development. In 2008, he started looking over the Hadoop project. In 2009, he led the development of his previous company's display advertisement data infrastructure using Hadoop and Hive. In 2010, he joined his current employer, where he designed and implemented the Hadoop- and HBase-based, large-scale item ranking system. He is also one of the members of the Hadoop team in the company, which operates several Hadoop/HBase clusters
Read more about Yifeng Jiang

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