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ElasticSearch Cookbook

You're reading from   ElasticSearch Cookbook As a user of ElasticSearch in your web applications you'll already know what a powerful technology it is, and with this book you can take it to new heights with a whole range of enhanced solutions from plugins to scripting.

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Product type Paperback
Published in Dec 2013
Publisher Packt
ISBN-13 9781782166627
Length 422 pages
Edition 1st 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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Toc

Table of Contents (14) Chapters Close

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

Managing indices

In the previous recipe we saw how to initialize a client to send calls to an ElasticSearch cluster. In this recipe, we will see how to manage indices via client calls.

Getting ready

You need a working ElasticSearch cluster and required packages of the Creating a client recipe of this chapter.

The full code of this recipe is in the chapter_11/indices_management.py file.

How to do it...

In Python, managing the lifecycle of your indices is very easy, we need to perform the following steps:

  1. We initialize a client as follows:
    import elasticsearch
    es = elasticsearch.Elasticsearch()
    index_name = "my_index"
  2. All the indices methods are available in the client.indices namespace. We can create and wait for the creation of an index as follows:
    es.indices.create(index_name)
    es.cluster.health(wait_for_status="yellow")
  3. We can close/open an index as follows:
    es.indices.close(index_name)
    
    es.indices.open(index_name)
    es.cluster.health(wait_for_status="yellow")
  4. We can optimize...
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