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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 FREE CHAPTER 2. Downloading and Setting Up 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 index settings


Index settings are more important because they allow us to control several important ElasticSearch functionalities such as sharding/replica, caching, term management, routing, and analysis.

Getting ready

You will need a working ElasticSearch cluster and the index created in the Creating an index recipe in this chapter.

How to do it...

To manage the index settings, we will perform the steps given as follows:

  1. To retrieve the settings of your current Index, the URL format is the following:

    http://<server>/<index_name>/_settings
  2. We are reading information via REST API, so the method will be GET, and an example of a call using the index created in the Creating an index recipe, is:

    curl -XGET 'http://localhost:9200/myindex/_settings'
    
  3. The response will be something similar to:

    {
      "myindex" : {
        "settings" : {
          "index" : {
            "uuid" : "pT65_cn_RHKmg1wPX7BGjw",
            "number_of_replicas" : "1",
            "number_of_shards" : "2",
            "version" : {
      ...
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