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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

Executing a standard search

After having inserted documents, the most common executed action in ElasticSearch is the search. The official ElasticSearch client APIs for searching are similar to the REST one.

Getting ready

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

The code of this recipe is in the chapter_11/searching.py and chapter_11/searching_pyes.py files.

How to do it...

To execute a standard query, the client search method must be called passing the query parameters as we saw in Chapter 5, Search, Queries, and Filters. The required parameters are at least the index name, the type name, and the query DSL. In the following example I'll show how to call a match all query, a term query and a filter query. We need to perform the following steps:

  1. We will initialize the client and populate the index as follows:
    import elasticsearch
    from pprint import pprint
    
    es = elasticsearch.Elasticsearch()
    index_name = "my_index&quot...
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