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

Understanding the querying and indexing process


Before we see how to search for data, it would be good to understand how the documents and queries sent to ElasticSearch are processed. If you already know that, you can skip this part of the chapter.

In order to understand the querying and indexing process, you should understand the following concepts:

  • Indexing: This is the process of preparing the document sent to ElasticSearch and storing it in the index.

  • Searching: This is the process of matching the documents that satisfy the query requirements.

  • Analysis: This is the process of preparing the content of a field and converting the content to terms that can be written into the Lucene index. During indexing, the data in the fields is divided into a stream of tokens (words) that are written into the index as terms (tokens with additional information such as position in the input text). The analysis process can consist of the following steps:

    • Tokenization: During this stage, the input text...