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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

Using the Hadoop tool or JARs for HBase


In a driver class provided by Hadoop, we can run HBase JAR files utilizing the features of Hadoop and using the following command:

hadoop jar <HBase Jar file path>/hbase-*.jar<program name>

The program names we can use here are:

  • completebulkload: This is for a bulk data load

  • copytable: This is to export a table data from the local to peer cluster

  • export: This is to export data from an HBase table to HDFS as a sequence file

  • import: This is to import data written by export

  • importtsv: This is to import data in TSV format to HBase

  • rowcounter: This is to count rows in an HBase table using MapReduce

  • verifyrep: This is to compare the data from tables of different clusters

We will discuss the preceding methods in the next chapter, where we will also discuss the backup/restore process. Likewise, we can call the HBase JAR file with Hadoop. The following are the Hadoop tools:

  • HFile tool: This tool helps us to read an HFile content in text format....

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