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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 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

Creating an index


The first operation before starting to Index data in ElasticSearch is to create an index—the main container of our data.

An Index is similar to Database concept in SQL, a container for types, such as tables in SQL, and documents, such as records in SQL.

Getting ready

You will need a working ElasticSearch cluster.

How to do it...

The HTTP method to create an index is PUT (POST also works); the REST URL contains the index name:

http://<server>/<index_name>

To create an index, we will perform the following steps:

  1. Using the command line, we can execute a PUT call:

    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 goes well, should be:

    {"acknowledged":true}
  3. If the index already exists, then a 400 error is returned:

    {"error":"IndexAlreadyExistsException[[myindex] Already exists]","status":400}

How it works...

There are some...

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