Book Image

ElasticSearch Server

Book Image

ElasticSearch Server

Overview of this book

ElasticSearch is an open source search server built on Apache Lucene. It was built to provide a scalable search solution with built-in support for near real-time search and multi-tenancy.Jumping into the world of ElasticSearch by setting up your own custom cluster, this book will show you how to create a fast, scalable, and flexible search solution. By learning the ins-and-outs of data indexing and analysis, "ElasticSearch Server" will start you on your journey to mastering the powerful capabilities of ElasticSearch. With practical chapters covering how to search data, extend your search, and go deep into cluster administration and search analysis, this book is perfect for those new and experienced with search servers.In "ElasticSearch Server" you will learn how to revolutionize your website or application with faster, more accurate, and flexible search functionality. Starting with chapters on setting up your own ElasticSearch cluster and searching and extending your search parameters you will quickly be able to create a fast, scalable, and completely custom search solution.Building on your knowledge further you will learn about ElasticSearch's query API and become confident using powerful filtering and faceting capabilities. You will develop practical knowledge on how to make use of ElasticSearch's near real-time capabilities and support for multi-tenancy.Your journey then concludes with chapters that help you monitor and tune your ElasticSearch cluster as well as advanced topics such as shard allocation, gateway configuration, and the discovery module.
Table of Contents (17 chapters)
ElasticSearch Server
Credits
About the Authors
Acknowledgement
Acknowledgement
About the Reviewers
www.PacktPub.com
Preface
Index

Compound queries


As we have already discussed, in addition to simple queries, ElasticSearch exposes a few compound queries that can be used to connect multiple queries together or are used to control the behavior of another query. You may wonder whether you need such functionality. In fact, if you are interested in making your search better, you'll use the following queries somewhere in your journey with ElasticSearch. A simple example is combining a simple term query with a phrase query in order to get better search results. But for now, let's stick to the query description.

The bool query

A bool query allows us to wrap a virtually unbounded number of queries and connect them with a logical value by using one of the following sections:

  • should: The query wrapped into this section may or may not have a match (the number of the queries in the should section that need to match is controlled by the minimum_should_match parameter).

  • must: The query wrapped into this section must match in order...