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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

Indexing a document


In ElasticSearch there are two vital operations: index and search.

Index consists of putting one or more documents in an index: it is similar to the concept of inserting records in a relational database.

In Lucene, the core engine of ElasticSearch, inserting or updating a document has the same cost: in Lucene update means replace.

Getting ready

You need a working ElasticSearch cluster and the mapping created in the Putting a mapping in an index recipe.

How to do it...

For indexing a document, several REST entry points that can be used are as follows:

Method

URL

POST

http://<server>/<index_name>/<type>

PUT/POST

http://<server>/<index_name>/<type> /<id>

PUT/POST

http://<server>/<index_name>/<type> /<id>/_create

For indexing a document, we need to perform the following steps:

  1. If we consider the type order of the previous chapter, the call to index a document will be as follows:

    curl -XPOST 'http://localhost...
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