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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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Mounting disks with noatime and nodiratime

If you are mounting disks purely for Hadoop and you use ext3 or ext4, or the XFS file system, we recommend that you mount the disks with the noatime and nodiratime attributes.

If you mount the disks as noatime, the access timestamps are not updated when a file is read on the filesystem. In the case of the nodiratime attribute, mounting disks does not update the directory inode access times on the filesystem. As there is no more disk I/O for updating the access timestamps, this speeds up filesystem reads.

In this recipe, we will describe why the noatime and nodiratime options are recommended for Hadoop, and how to mount disks with noatime and nodiratime.

Getting ready

You will need root privileges on your slave nodes. We assume you have two disks for only Hadoop—/dev/xvdc and /dev/xvdd. The two disks are mounted at /mnt/is1 and /mnt/is2, respectively. Also, we assume you are using the ext3 filesystem.

How to do it...

To mount disks with noatime and...

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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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