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Learning Hbase

You're reading from   Learning Hbase Learn the fundamentals of HBase administration and development with the help of real-time scenarios

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Product type Paperback
Published in Nov 2014
Publisher
ISBN-13 9781783985944
Length 326 pages
Edition 1st Edition
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Author (1):
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Shashwat Shriparv Shashwat Shriparv
Author Profile Icon Shashwat Shriparv
Shashwat Shriparv
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Table of Contents (12) Chapters Close

Preface 1. Understanding the HBase Ecosystem FREE CHAPTER 2. Let's Begin with HBase 3. Let's Start Building It 4. Optimizing the HBase/Hadoop Cluster 5. The Storage, Structure Layout, and Data Model of HBase 6. HBase Cluster Maintenance and Troubleshooting 7. Scripting in HBase 8. Coding HBase in Java 9. Advance Coding in Java for HBase 10. HBase Use Cases Index

MapReduce and HBase


HBase supports writing MapReduce jobs for processing data from the HBase table using the org.apache.hadoop.hbase.mapreduce package, which has lots of methods for the same. This also provides HBase MapReduce input and output formats that can be utilized in MapReduce jobs, a table indexing MapReduce job, and many other MapReduce utilities. It utilizes Hadoop MapReduce framework to do so.

The following is a list of MapReduce classes provided by HBase:

  • Import: This utility is used to import sequence file from HDFS, which is exported by the export command.

  • ImportTsv: This utility is used to import the Tab-separated Value (TSV) file using the MapReduce task.

  • CellCounter: This counts the number of cells in the HBase table using the MapReduce job.

  • CopyTable: This is used to copy table from one HBase cluster to another HBase cluster. The destination can be the same cluster or another cluster.

  • Driver: This is the Driver class for MapReduce jobs in HBase.

  • Export: This exports or...

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