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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 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

Managing documents

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

Getting ready

You need a working ElasticSearch cluster and the packages used in 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, available in the code bundle of this book and on GitHub (https://github.com/aparo/elasticsearch-cookbook-second-edition).

How to do it...

There are three main operations to manage documents, as follows:

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