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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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Tuning block size to improve seek performance


HBase data are stored as StoreFile in the HFile format. StoreFiles are composed of HFile blocks. HFile block is the smallest unit of data that HBase reads from its StoreFiles. It is also the basic element that region server caches in the block cache.

The size of the HFile block is an important tuning parameter. To achieve better performance, we should select different block sizes, based on the average Key/Value size and disk I/O speed. Like block cache and Bloom Filter, HFile block size is also configurable at the column family level.

We will describe how to show the average Key/Value size and tune block size to improve seek performance in this recipe.

Getting ready

Log in to your HBase client node.

How to do it...

The following steps need to be carried out to tune block size to improve seek performance:

  1. 1. Use the following command to show the average Key/Value size in a HFile. Change the file path to fit your environment. HFiles for a particular...

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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