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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
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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

Executing a standard search

After you have inserted documents, the most commonly executed action in ElasticSearch is the search. The official ElasticSearch client APIs that are used to search are similar to the REST API.

Getting ready

You need a working ElasticSearch cluster and the packages used in the Creating a client recipe in this chapter.

The code of this recipe is present in the chapter_11/searching.py and chapter_11/searching_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...

To execute a standard query, the search client method must be called by passing the query parameters, as shown in Chapter 5, Search, Queries, and Filters. The required parameters are the index name, type name, and query DSL. In this example, you will see how to call a match_all query, a term query, and a filter query. To do this, perform the following steps:

  1. First, initialize the client and populate the index:
    import...
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