We have our Elasticsearch cluster up and running, and we also know how to use the Elasticsearch REST API to index our data, delete it, and retrieve it. We also know how to use search to get our documents. If you are used to SQL databases, you might know that before you can start putting the data there, you need to create a structure, which will describe what your data looks like. Although Elasticsearch is a schema-less search engine and can figure out the data structure on the fly, we think that controlling the structure and thus defining it ourselves is a better way. In the following few pages, you'll see how to create new indices (and how to delete them). Before we look closer at the available API methods, let's see what the indexing process looks like.
Elasticsearch Server: Second Edition
Elasticsearch Server: Second Edition
Overview of this book
Table of Contents (18 chapters)
Elasticsearch Server Second Edition
Credits
About the Author
Acknowledgments
About the Author
Acknowledgments
About the Reviewers
www.PacktPub.com
Preface
Free Chapter
Getting Started with the Elasticsearch Cluster
Indexing Your Data
Searching Your Data
Extending Your Index Structure
Make Your Search Better
Beyond Full-text Searching
Elasticsearch Cluster in Detail
Administrating Your Cluster
Index
Customer Reviews