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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

Creating an index

The first operation to do before starting indexing data in ElasticSearch is to create an index: the main container of our data.

An index is similar to the concept of a database in SQL.

Getting ready

You need a working ElasticSearch cluster.

How to do it...

The HTTP method to create an index is PUT (but POST also works), the REST URL is the index name, which is written as follows:

http://<server>/<index_name>

For creating an index, we need to perform the following steps:

  1. From command line, we can execute a PUT call as follows:
    curl -XPUT http://127.0.0.1:9200/myindex -d '{
        "settings" : {
            "index" : {
                "number_of_shards" : 2,
                "number_of_replicas" : 1
            }
        }
    }'
    
  2. The result returned by ElasticSearch, if everything is all right, should be as follows:
    {"ok":true,"acknowledged":true}
  3. If the index already exists, a 400 error is returned:
    {"error":"IndexAlreadyExistsException...
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