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Apache Hive Cookbook

You're reading from   Apache Hive Cookbook

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Product type Paperback
Published in Apr 2016
Publisher Packt
ISBN-13 9781782161080
Length 268 pages
Edition 1st Edition
Languages
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Toc

Table of Contents (14) Chapters Close

Preface 1. Developing Hive FREE CHAPTER 2. Services in Hive 3. Understanding the Hive Data Model 4. Hive Data Definition Language 5. Hive Data Manipulation Language 6. Hive Extensibility Features 7. Joins and Join Optimization 8. Statistics in Hive 9. Functions in Hive 10. Hive Tuning 11. Hive Security 12. Hive Integration with Other Frameworks Index

Working with HBase

In this recipe, you will learn how to integrate HBase with Google Drill.

HBase is a distributed database used to store large volume of data. It is written in Java and runs on top of HDFS. Therefore, it is a fast way of reading and writing large volumes of data with high throughput.

Getting ready

For integrating Hive with HBase, there are a few prerequisites that must be met. In this topic, we will cover the use of Hive and HBase. You must have HBase installed on your system before going further in the topic.

Once HBase is installed, configure the HBase as shown in the following steps:

Add the following properties to the hbase-site.xml file:

<property>
  <name>hbase.cluster.distributed</name>
  <value>true</value>
</property>
<property>
  <name>hbase.rootdir</name>
  <value>hdfs://localhost:8020/hbase</value>
</property>

Note

Change the value of the property hbase.rootdir if Hadoop namenode is running on different...

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