There are times when you need to perform more than one request on Elasticsearch. For this, Elasticsearch offers a bulk API with the _bulk
endpoint that allows you to perform bulk operations in a single request, be it indexing, updating, or deleting more than one document, getting more than one document using more than one document ID, or executing more than one query in a single request. The best part is that bulk operations can be executed on more than one index
and doc
type in a single request. The Elasticsearch Java client also offers a BulkProcessor
class, which will be covered in a later section of this chapter. For now, let's explore the bulk requests.
Elasticsearch Essentials
Elasticsearch Essentials
Overview of this book
With constantly evolving and growing datasets, organizations have the need to find actionable insights for their business. ElasticSearch, which is the world's most advanced search and analytics engine, brings the ability to make massive amounts of data usable in a matter of milliseconds. It not only gives you the power to build blazing fast search solutions over a massive amount of data, but can also serve as a NoSQL data store.
This guide will take you on a tour to become a competent developer quickly with a solid knowledge level and understanding of the ElasticSearch core concepts. Starting from the beginning, this book will cover these core concepts, setting up ElasticSearch and various plugins, working with analyzers, and creating mappings. This book provides complete coverage of working with ElasticSearch using Python and performing CRUD operations and aggregation-based analytics, handling document relationships in the NoSQL world, working with geospatial data, and taking data backups. Finally, we’ll show you how to set up and scale ElasticSearch clusters in production environments as well as providing some best practices.
Table of Contents (18 chapters)
Elasticsearch Essentials
Credits
About the Author
Acknowledgments
About the Reviewer
www.PacktPub.com
Preface
Free Chapter
Getting Started with Elasticsearch
Understanding Document Analysis and Creating Mappings
Putting Elasticsearch into Action
Aggregations for Analytics
Data Looks Better on Maps: Master Geo-Spatiality
Document Relationships in NoSQL World
Different Methods of Search and Bulk Operations
Controlling Relevancy
Cluster Scaling in Production Deployments
Backups and Security
Index
Customer Reviews