Book Image

Elasticsearch Server - Third Edition

By : Rafal Kuc
Book Image

Elasticsearch Server - Third Edition

By: Rafal Kuc

Overview of this book

ElasticSearch is a very fast and scalable open source search engine, designed with distribution and cloud in mind, complete with all the goodies that Apache Lucene has to offer. ElasticSearch’s schema-free architecture allows developers to index and search unstructured content, making it perfectly suited for both small projects and large big data warehouses, even those with petabytes of unstructured data. This book will guide you through the world of the most commonly used ElasticSearch server functionalities. You’ll start off by getting an understanding of the basics of ElasticSearch and its data indexing functionality. Next, you will see the querying capabilities of ElasticSearch, followed by a through explanation of scoring and search relevance. After this, you will explore the aggregation and data analysis capabilities of ElasticSearch and will learn how cluster administration and scaling can be used to boost your application performance. You’ll find out how to use the friendly REST APIs and how to tune ElasticSearch to make the most of it. By the end of this book, you will have be able to create amazing search solutions as per your project’s specifications.
Table of Contents (18 chapters)
Elasticsearch Server Third Edition
Credits
About the Authors
About the Reviewer
www.PacktPub.com
Preface
Index

Choosing the right query


By now we've seen what queries are available in Elasticsearch, both the simple ones and the ones that can group other queries as well. Before continuing with more complicated topics, we would like to discuss which of the queries should be used for which use case. Of course, one could dedicate the whole book to showing different queries use cases, so we will only show a few of them to help you see what you can expect and which query to use.

The use cases

As you already know which queries can be used to find which data, what we would like to show you are example use cases using the data we indexed in Chapter 2, Indexing Your Data. To do this, we will start with a few guiding lines on how to chose the query and then we will show you example use cases and discuss why those queries could be used.

Limiting results to given tags

One of the simplest examples of querying Elasticsearch is the search for exact terms. By exact we mean character to character comparison of a term...