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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
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Full shutdown backup using distcp


distcp (distributed copy) is a tool provided by Hadoop for copying a large dataset on the same, or different HDFS cluster. It uses MapReduce to copy files in parallel, handle error and recovery, and report the job status.

As HBase stores all its files, including system files on HDFS, we can simply use distcp to copy the HBase directory to either another directory on the same HDFS, or to a different HDFS, for backing up the source HBase cluster.

Note that this is a full shutdown backup solution. The distcp tool works because the HBase cluster is shut down (or all tables are disabled) and there are no edits to files during the process. Do not use distcp on a live HBase cluster. Therefore, this solution is for the environment that can tolerate a periodic full shutdown of their HBase cluster. For example, a cluster that is used for backend batch processing and not serving frontend requests.

We will describe how to use distcp to back up a fully shut down HBase...

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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