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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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Toc

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

Managing indices

In the previous recipe, we saw how to initialize a client in order 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 the packages in the Creating a client recipe of this chapter.

The full code of this recipe is in the chapter_11/indices_management.py file, available in the code bundle of this book and on GitHub (https://github.com/aparo/elasticsearch-cookbook-second-edition).

How to do it...

In Python, managing the life cycle of your indices is easy. Perform the following steps:

  1. First, 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. You can create and wait for (delay) the creation of an index:
    es.indices.create(index_name)
    es.cluster.health(wait_for_status="yellow")
  3. You can close/open an index, as follows...
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