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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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Toc

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

Building a query

Before a search, a query must be built and ElasticSearch provides several ways to build these queries. In this recipe, we will see how to create a query object via QueryBuilder and via simple strings.

Getting ready

You will need a working ElasticSearch cluster and a working copy of Maven. The code of this recipe is in chapter_10/nativeclient in the code bundle available on Packt's website, and on GitHub (https://github.com/aparo/elasticsearch-cookbook-second-edition). The referred class is QueryCreation.

How to do it...

To create a query, we will perform the following steps:

  1. There are several ways to define a query in ElasticSearch and they are interchangeable. Generally a query can be defined as a combination of the following components:
    • QueryBuilder: This is a helper to build a query.
    • XContentBuilder: This is a helper to create JSON code. We have discussed it in the Managing mappings recipe in this chapter. The JSON code to be generated is similar to the previous REST,...
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