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You're reading from  HBase Administration Cookbook

Product typeBook
Published inAug 2012
PublisherPackt
ISBN-139781849517140
Edition1st Edition
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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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Using compression


One of the most important features of HBase is the use of data compression. It's important because:

  • Compression reduces the number of bytes written to/read from HDFS

  • Saves disk usage

  • Improves the efficiency of network bandwidth when getting data from a remote server

HBase supports the GZip and LZO codec. Our suggestion is to use the LZO compression algorithm because of its fast data decompression and low CPU usage. As a better compression ratio is preferred for the system, you should consider GZip.

Unfortunately, HBase cannot ship with LZO because of a license issue. HBase is Apache-licensed, whereas LZO is GPL-licensed. Therefore, we need to install LZO ourselves. We will use the hadoop-lzo library, which brings splittable LZO compression to Hadoop.

In this recipe, we will describe how to install LZO and how to configure HBase to use LZO compression.

Getting ready

Make sure Java is installed on the machine on which hadoop-lzo is to be built.

Apache Ant is required to build...

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HBase Administration Cookbook
Published in: Aug 2012Publisher: PacktISBN-13: 9781849517140

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