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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

Managing documents

The APIs for managing the documents (index, update, and delete) are the most important ones after the search ones. In this recipe, we will see how to use them in a standard way and in bulk actions to improve the performance.

Getting ready

You need a working ElasticSearch cluster and required packages of the Creating a client recipe of this chapter.

The full code of this recipe is in the chapter_11/document_management.py and chapter_11/document_management_pyes.py files.

How to do it...

The main operations to manage documents are as follows:

  • index: This stores a document in ElasticSearch. It is mapped on the Index API call.
  • update: This allows updating some values in a document. This operation is composed internally (via the Lucene nature) by deleting the previous document and reindexing of the document with the new values. It is mapped on the Update API call.
  • delete: This deletes a document from the index. It is mapped on the Delete API call.

With the ElasticSearch Python client...

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