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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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Configuring block cache for column families

HBase supports block cache to improve read performance. When performing a scan, if block cache is enabled and there is room remaining, data blocks read from StoreFiles on HDFS are cached in region server's Java heap space, so that next time, accessing data in the same block can be served by the cached block. Block cache helps in reducing disk I/O for retrieving data.

Block cache is configurable at table's column family level. Different column families can have different cache priorities or even disable the block cache. Applications leverage this cache mechanism to fit different data sizes and access patterns.

In this recipe, we will describe how to configure block cache for column families and tips to leverage HBase block cache.

Getting ready

Log in to your HBase client node.

How to do it...

The following steps need to be carried out to configure block cache at column family level:

  1. 1. Start HBase Shell:

    $ $HBASE_HOME/bin/hbase shell
HBase Shell; enter...
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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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