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ElasticSearch Cookbook - Second Edition

You're reading from   ElasticSearch Cookbook - Second Edition Over 130 advanced recipes to search, analyze, deploy, manage, and monitor data effectively with ElasticSearch

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Product type Paperback
Published in Jan 2015
Publisher
ISBN-13 9781783554836
Length 472 pages
Edition 2nd Edition
Languages
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Author (1):
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Alberto Paro Alberto Paro
Author Profile Icon Alberto Paro
Alberto Paro
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Table of Contents (14) Chapters Close

Preface 1. Getting Started 2. Downloading and Setting Up FREE CHAPTER 3. Managing Mapping 4. Basic Operations 5. Search, Queries, and Filters 6. Aggregations 7. Scripting 8. Rivers 9. Cluster and Node Monitoring 10. Java Integration 11. Python Integration 12. Plugin Development Index

Using index aliases


Real world applications have a lot of indices and queries that span on more indices. This scenario requires defining all the indices names on which we need to perform queries; aliases allow grouping them by a common name.

Some common scenarios of this usage are:

  • Log indices divided by date (such as log_YYMMDD) for which we want to create an alias for the last week, the last month, today, yesterday, and so on. This pattern is commonly used in log applications such as logstash (http://logstash.net/).

  • Collecting website contents in several indices (New York Times, The Guardian, and so on) for those we want to refer to as an index aliases called sites.

Getting ready

You will need a working ElasticSearch cluster.

How to do it...

The URL format for control aliases are:

http://<server>/_aliases
http://<server>/<index>/_alias/<alias_name>

To manage the index aliases, we will perform the following steps:

  1. We need to read the status of the aliases for all indices via...

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