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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 Apache Spark

In this recipe, you will learn how to integrate Hive with Apache Spark. Apache Spark is an open source cluster computing framework. It is used as a replacement of the MapReduce framework.

Getting ready

In this topic, we will cover the use of Hive and Apache Spark. You must have Apache Spark installed on your system before going further in the topic.

  1. Once the Spark is installed, start the Spark master server by executing the following command:
    ./sbin/start-master.sh
    
  2. Check whether the Spark master server has been started or not by issuing the URL mentioned later on the web browser:
    http://<ip_address>:<port_number>
    
  3. The exact URL is present at the following path:
    /spark-1.6.0-bin-hadoop2.6/logs/spark-hadoop-org.apache.spark.deploy.master.Master-1-node1.out
    
  4. The following screenshot shows the result of the URL:
    Getting ready
  5. Once the master server is started, start the slave service by executing the following command:
    ./sbin/start-slave.sh <master-spark-URL>
    
  6. Refresh the...
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