A trigger in a relational database is a code that gets invoked when an insert, update, or a delete operation is executed on a table in the database. A trigger can be invoked either before or after the operation. Triggers are not implemented in MongoDB out of the box, and in case you need some sort of notification for your application whenever any insert
, update
, and delete
operations are executed, you are left to manage them by yourself in the application. One approach is to have some sort of data access layer in the application that is the only place to query, insert, update, or delete documents from the collections. However, there are a few challenges to this. First, you need to explicitly code the logic to accommodate this requirement in the application, which may or may not be feasible. If the database is shared and multiple applications access it, things become even more difficult. Second, the access needs to be strictly regulated and no...
MongoDB Cookbook
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MongoDB Cookbook
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Overview of this book
<p>MongoDB is a high-performance and feature-rich NoSQL database that forms the backbone of numerous complex development systems. You will certainly find the MongoDB solution you are searching for in this book.</p>
<p>Starting with how to initialize the server in three different modes with various configurations, you will then learn a variety of skills including the basics of advanced query operations and features in MongoDB and monitoring and backup using MMS. From there, you can delve into recipes on cloud deployment, integration with Hadoop, and improving developer productivity. By the end of this book, you will have a clear idea about how to design, develop, and deploy MongoDB.</p>
Table of Contents (17 chapters)
MongoDB Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Free Chapter
Installing and Starting the MongoDB Server
Command-line Operations and Indexes
Programming Language Drivers
Administration
Advanced Operations
Monitoring and Backups
Cloud Deployment on MongoDB
Integration with Hadoop
Open Source and Proprietary Tools
Concepts for Reference
Index
Customer Reviews