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

Extending your index structure with additional internal information


All the information provided in the previous chapters gave us a good look at what ElasticSearch is capable of, both in terms of indexing and querying. But their coverage was not nearly complete. One thing we would like to discuss in more detail is the functionalities of ElasticSearch that are not used every day, but can make our life easier when it comes to data handling.

Note

Each of the following field types should be defined on an appropriate type level. So if you recall our sample mappings for our small library from Chapter 2, Searching Your Data, we would add any of the following types under the book type mappings.

The identifier field

As you recall, each document indexed in ElasticSearch has its own identifier and type. In ElasticSearch there are two types of internal identifiers for the documents.

The first one is the _uid field, which is the unique identifier of the document in the index and is composed of the document...