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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

Optimizing HBase


For some systems, memory-related settings that we discussed for Hadoop are common to HBase. So, let's discuss HBase-specific optimization in brief. We will also look at component-wise HBase optimization.

Let's start with Hadoop.

Hadoop

Add the following parameter to the hdfs-site.xml and hbase-site.xml files:

<property>
  <name>dfs.support.append</name>
  <value>true</value>
</property>

The preceding code will enable sync on HDFS, which is essential for durable HBase data synchronization and durability. After making this change, we need to restart the cluster.

The following code decides the number of open files on DataNode and should be kept high as HBase keeps a lot of files open. This must be kept to 4096 or above, according to the size of the HBase cluster and amount of data and operation being run on it:

<property>
  <name>dfs.datanode.max.xcievers</name>
  <description>dfs.datanode.max.transfer.threads in newer version...
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