Custom Metadata Types vs Custom Settings vs Custom Labels 💬 In plain words: Three lookalikes: Custom Metadata = configuration that DEPLOYS with your code (best for app settings). Custom Settings = org/user-specific values, changeable at runtime (hierarchy type is great for bypass switches). Custom Labels = translatable text for the UI. 📌 Example: API endpoint URLs per environment → Custom Metadata (deploys with code, sandbox vs prod values). A 'Bypass_Automation__c' checkbox an admin flips during data load → hierarchy Custom Setting. The word 'Submit' translated to Hindi → Custom Label. 🎬 Real-Life Example: The Fee Table Trapped Inside Code Skyline charges a different delivery fee per city. Apex needs those rates on every booking. The Old/Bad Way: if (city == 'Delhi') fee = 50. Else if (city == 'Mumbai') fee = 65. … Every rate change is a code change, a test run, and a deployment. Why this is bad: Business data is trappe...
Introduction:
Salesforce is a powerful platform that allows businesses to manage their customer relationships, automate processes, and streamline operations. However, when working with Salesforce, you might encounter an error known as the "Mixed DML Operation Error." This error can be frustrating and puzzling for Salesforce developers and administrators. In this blog post, we will explore what the Mixed DML Operation Error is, why it occurs, and how to handle it effectively.
Understanding the Mixed DML Operation Error:
The Mixed DML Operation Error typically occurs when there is a combination of data manipulation language (DML) operations performed on different types of objects within a single transaction context. In Salesforce, DML operations include inserting, updating, deleting, or undeleting records. The error message looks something like this: "Mixed DML Operation [Operation1] at [Line1], [Operation2] at [Line2]."
Why does the Mixed DML Operation Error occur?
Salesforce enforces a security feature that separates the processing of certain types of objects during a transaction. Specifically, it prevents a transaction from performing DML operations on both setup objects (such as users, profiles, and roles) and non-setup objects (custom and standard objects) within the same context. This segregation ensures data integrity and prevents potential security risks.
Handling the Mixed DML Operation Error:
To resolve the Mixed DML Operation Error, you have a few options:
1. Separate Setup and Non-Setup Object Operations:
The most straightforward solution is to split the DML operations into separate transactions. Perform the DML operations on setup objects in one transaction and the DML operations on non-setup objects in another. This ensures that the operations on each type of object are isolated, thereby avoiding the error.
2. Use System.runAs() and @Future Annotations:
You can leverage the System.runAs() method in conjunction with the @Future annotation to perform DML operations on setup and non-setup objects in separate contexts. The System.runAs() method allows you to execute a block of code under the context of a specific user, while the @Future annotation executes the code asynchronously in a separate transaction context.
3. Use Queueable Apex:
Queueable Apex is another option to handle the Mixed DML Operation Error. By implementing the Queueable interface, you can execute DML operations on setup and non-setup objects in separate transactions. This approach allows you to chain multiple jobs together, providing flexibility and control over the order of execution.
4. Implement Apex Flex Queue:
Apex Flex Queue, introduced in Salesforce Winter '22 release, enables you to queue Apex jobs for execution. By utilizing the Flex Queue, you can schedule jobs to run in a specific order, avoiding the Mixed DML Operation Error by ensuring the separation of DML operations on different types of objects.
Conclusion:
The Mixed DML Operation Error can be a roadblock when developing or administering Salesforce applications. However, by understanding the reasons behind the error and employing appropriate strategies, you can overcome this challenge effectively. Whether you choose to separate DML operations, use System.runAs() with @Future, leverage Queueable Apex, or utilize the Apex Flex Queue, you can ensure the successful execution of your code and maintain data integrity within Salesforce.