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

Chapter 7. Administrating Your Cluster

In the previous chapter, we've mainly looked at how to use the faceting functionality in ElasticSearch, which allowed us to get aggregated statistics about our search results. In addition to that, we've learned how to use the "more like this" REST endpoint to get a similar document to the ones we've found, and in addition to that we've also used the prospective search functionality called the percolator to store queries and check which queries matched the document sent to ElasticSearch. In this chapter, we will take a look at cluster health and cluster state monitoring. We will learn how to use tools to diagnose the state of our cluster. We will also use the shard and replica allocation mechanism to control the nodes on which they are placed by ElasticSearch. Finally we will learn what the gateway and discovery modules are and how to configure them. By the end of this chapter you will have learned:

  • How to monitor your cluster state and health

  • How to...