Book Image

Mastering Elasticsearch 5.x - Third Edition

Book Image

Mastering Elasticsearch 5.x - Third Edition

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

The human-friendly status API - using the cat API


The Elasticsearch admin API is quite extensive and covers almost every part of its architecture-from low-level information about Lucene to high-level information about the cluster nodes and their health. All this information is available both using the Elasticsearch Java API as well as using the REST API; however, the data is returned in the JSON format. What's more, the returned data can sometimes be hard to analyze without further parsing. For example, try to run the following request on your Elasticsearch cluster:

  curl -XGET 'localhost:9200/_stats?pretty'

On our local, single node cluster, Elasticsearch returns the following information (we cut it down drastically):

{ 
"_shards" : { 
"total" : 144, 
"successful" : 77, 
"failed" : 0 
}, 
"_all" : { 
"primaries" : { 
. 
. 
. 
}, 
"total" : { 
. 
. 
. 
} 
}, 
"indices" : { 
. 
. 
. ...