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Hadoop 2.x Administration Cookbook

You're reading from   Hadoop 2.x Administration Cookbook Administer and maintain large Apache Hadoop clusters

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Product type Paperback
Published in May 2017
Publisher Packt
ISBN-13 9781787126732
Length 348 pages
Edition 1st Edition
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Author (1):
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Aman Singh Aman Singh
Author Profile Icon Aman Singh
Aman Singh
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Toc

Table of Contents (14) Chapters Close

Preface 1. Hadoop Architecture and Deployment FREE CHAPTER 2. Maintaining Hadoop Cluster HDFS 3. Maintaining Hadoop Cluster – YARN and MapReduce 4. High Availability 5. Schedulers 6. Backup and Recovery 7. Data Ingestion and Workflow 8. Performance Tuning 9. HBase Administration 10. Cluster Planning 11. Troubleshooting, Diagnostics, and Best Practices 12. Security Index

Operating Hive with ZooKeeper


It is important to configure high availability in production so that if one of the hiveserver2 fails, the others can respond to client requests. This can be achieved by using the ZooKeeper discovery mechanism to point the clients to the active Hive servers.

Secondly, to enable concurrency, it is important to run the table manager, which is a lock manager. Both these features require setting up the ZooKeeper ensemble and configuring the Hive clients to use it.

Getting ready

To progress through the recipe in this section, we need a ZooKeeper ensemble running. Please refer to Chapter 4, High Availability for details of how to configure ZooKeeper clients. Secondly, users must have completed the previous recipe Using MySQL for Hive metastore.

How to do it...

  1. Connect to the edge node edge1.cyrus.com in the cluster and switch to the hadoop user.

  2. Modify the hive-site.xml file and enable the table manager by using the properties as follows. This is for concurrency:

    <property...
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