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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

HBase region management


In this section, we will discuss various operations, such as compaction, merging, and splitting, which we can perform on the HBase region.

Compaction

Compaction is done to reduce the number of StoreFiles. Once the number of StoreFiles is reduced, more efficiency and performance can be gained. It is a high-resource-hungry process. Running this will result in a single StoreFile per store. Major compactions also process delete markers and maximum versions.

We already discussed compaction, so we will see how to perform this:

hbase >major_compact

In Java, use HBaseAdmin.majorCompact, which we will look at in Chapter 7, Scripting in HBase, and Chapter 8, Coding HBase in Java.

Note

Read more on compaction in detail at http://hbase.apache.org/book/regions.arch.html#compaction.

Merge

We can use the merge command in adjoining regions in the same table to increase performance:

hbase org.apache.hadoop.hbase.util.Merge <tablename> <region name> <region name>
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