Book Image

ElasticSearch Cookbook

By : Alberto Paro
Book Image

ElasticSearch Cookbook

By: Alberto Paro

Overview of this book

ElasticSearch is one of the most promising NoSQL technologies available and is built to provide a scalable search solution with built-in support for near real-time search and multi-tenancy. This practical guide is a complete reference for using ElasticSearch and covers 360 degrees of the ElasticSearch ecosystem. We will get started by showing you how to choose the correct transport layer, communicate with the server, and create custom internal actions for boosting tailored needs. Starting with the basics of the ElasticSearch architecture and how to efficiently index, search, and execute analytics on it, you will learn how to extend ElasticSearch by scripting and monitoring its behaviour. Step-by-step, this book will help you to improve your ability to manage data in indexing with more tailored mappings, along with searching and executing analytics with facets. The topics explored in the book also cover how to integrate ElasticSearch with Python and Java applications. This comprehensive guide will allow you to master storing, searching, and analyzing data with ElasticSearch.
Table of Contents (19 chapters)
ElasticSearch Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Executing a standard search


In the previous recipe, we saw how to build queries. In this recipe, we can execute this query to retrieve some documents.

Getting ready

You 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 of this book available on Packt's website and the referred class is QueryExample.

How to do it...

For executing a standard query, we will perform the steps given as follows:

  1. After having created a query, to execute it is enough using the prepareQuery call and pass to it your query object. Here, there is a complete example:

    import org.elasticsearch.action.search.SearchResponse;
    import org.elasticsearch.client.Client;
    import org.elasticsearch.index.query.QueryBuilder;
    import org.elasticsearch.search.SearchHit;
    import static org.elasticsearch.index.query.FilterBuilders.*;
    import static org.elasticsearch.index.query.QueryBuilders.*;
    
    public class QueryExample {
      public static void main(String[]...