Book Image

Mastering Elasticsearch 5.x - Third Edition

By : Bharvi Dixit
Book Image

Mastering Elasticsearch 5.x - Third Edition

By: Bharvi Dixit

Overview of this book

Elasticsearch is a modern, fast, distributed, scalable, fault tolerant, and open source search and analytics engine. Elasticsearch leverages the capabilities of Apache Lucene, and provides a new level of control over how you can index and search even huge sets of data. This book will give you a brief recap of the basics and also introduce you to the new features of Elasticsearch 5. We will guide you through the intermediate and advanced functionalities of Elasticsearch, such as querying, indexing, searching, and modifying data. We’ll also explore advanced concepts, including aggregation, index control, sharding, replication, and clustering. We’ll show you the modules of monitoring and administration available in Elasticsearch, and will also cover backup and recovery. You will get an understanding of how you can scale your Elasticsearch cluster to contextualize it and improve its performance. We’ll also show you how you can create your own analysis plugin in Elasticsearch. By the end of the book, you will have all the knowledge necessary to master Elasticsearch and put it to efficient use.
Table of Contents (20 chapters)
Mastering Elasticsearch 5.x - Third Edition
About the Author
About the Reviewer
Customer Feedback

Choosing the right query for the job

In this section, we will start with different categories of queries available in Elasticsearch, looking at which query to use in which situation.

Query categorization

Of course, categorizing queries is a hard task and the following list of categories is not the only correct one. If you were to ask other Elasticsearch users, they would provide their own categories, or say that each query can be assigned to more than a single category, and they would be right. We also think that there is no single way of categorizing the queries; however, in our opinion, each Elasticsearch query can be assigned to one (or more) of the following categories:

  • Basic queries: A category that groups queries allowing searching for a part of the index, either in an analyzed or a non-analyzed manner. The key point in this category is that you can nest queries inside a basic query. An example of a basic query is the term query.

  • Compound queries: A category grouping queries that allows...