Sometimes, having data in a single cluster is not enough. Imagine a situation where you have multiple locations where you need to index and search your data-for example, local company divisions that have their own clusters for their own data. The main center of your company would also like to search the data-not in each location but all at once. Of course, in your search application, you can connect to all these clusters and merge the results manually, but from Elasticsearch 1.0, it is also possible to use the so-called tribe node that works as a federated Elasticsearch client and can provide access to more than a single Elasticsearch cluster. What the tribe node does, is fetch all the cluster states from the connected clusters and merge these states into one global cluster state available on the tribe node. In this section, we will take a look at tribe nodes and how to configure and use them.

Mastering Elasticsearch 5.x - Third Edition
By :

Mastering Elasticsearch 5.x - Third Edition
By:
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
Credits
About the Author
Acknowledgements
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
Revisiting Elasticsearch and the Changes
The Improved Query DSL
Beyond Full Text Search
Data Modeling and Analytics
Improving the User Search Experience
The Index Distribution Architecture
Low-Level Index Control
Elasticsearch Administration
Data Transformation and Federated Search
Improving Performance
Developing Elasticsearch Plugins
Introducing Elastic Stack 5.0
Customer Reviews