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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 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

Indexing a document


In ElasticSearch, there are two vital operations namely, Indexing and Searching.

Indexing means inserting one or more document in an index; this is similar to the insert command of a relational database.

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

Getting ready

You will need a working ElasticSearch cluster and the mapping that was created in the Putting a mapping in an index recipe in this chapter.

How to do it...

To index a document, several REST entry points can be used:

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

We will perform the following steps:

  1. If we consider the type order mentioned in earlier chapters, the call to index a document will be:

    curl -XPOST 'http://localhost:9200/myindex...
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