Book Image

Force.com Enterprise Architecture - Second Edition

By : Andrew Fawcett
Book Image

Force.com Enterprise Architecture - Second Edition

By: Andrew Fawcett

Overview of this book

Companies of all sizes have seen the need for Force.com's architectural strategy focused on enabling their business objectives. Successful enterprise applications require planning, commitment, and investment in the best tools, processes, and features available. This book will teach you how to architect and support enduring applications for enterprise clients with Salesforce by exploring how to identify architecture needs and design solutions based on industry standard patterns. There are several ways to build solutions on Force.com, and this book will guide you through a logical path and show you the steps and considerations required to build packaged solutions from start to finish. It covers all aspects, from engineering to getting your application into the hands of your customers, and ensuring that they get the best value possible from your Force.com application. You will get acquainted with extending tools such as Lightning App Builder, Process Builder, and Flow with your own application logic. In addition to building your own application API, you will learn the techniques required to leverage the latest Lightning technologies on desktop and mobile platforms.
Table of Contents (23 chapters)
Force.com Enterprise Architecture - Second Edition
Credits
Foreword
About the Author
Acknowledgements
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface
Index

Handling DML with the Unit Of Work pattern


The database maintains relationships between records using record IDs. Record IDs are only available after the record is inserted. This means that the related records, such as child object records, need to be inserted in a specific dependency order. Parent records should be inserted before child records, and the parent record IDs are used to populate the relationship (lookup) fields on the child record objects before they can be inserted.

The common pattern for this is to use the List or Map keyword to manage records inserted at a parent level, in order to provide a means to look up parent IDs, as child records are built prior to being inserted. The other reasoning for this is bulkification; minimizing the number of DML statements being used across a complex code path is vital to avoid hitting governor limits on the number of DML statements required as such lists are favored over executing individual DML statements per record.

The focus on these two...