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

Chapter 5. Search, Queries, and Filters

In this chapter, we will cover the following topics:

  • Executing a search

  • Sorting a search

  • Highlighting results

  • Executing a scan query

  • Suggesting a correct query

  • Counting

  • Deleting by query

  • Matching all the documents

  • Querying/filtering for term

  • Querying/filtering for terms

  • Using a prefix query/filter

  • Using a Boolean query/filter

  • Using a range query/filter

  • Using span queries

  • Using the match query

  • Using the IDS query/filter

  • Using the has_child query

  • Using the top_children query

  • Using a regexp query/filter

  • Using exists and missing filters

  • Using and/or/not filters

  • Using the geo_bounding_box filter

  • Using the geo_polygon filter

  • Using the geo_distance filter