Hello friends, today we will discuss Apex Trigger Best Practices in Salesforce. Effective trigger practices translate to efficient data management, reduced errors, and a system that can handle growth and complexity. Embrace these best practices and become a trigger maestro, orchestrating your Salesforce data with precision and finesse!
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Key Highlights :
1. Rule of One Trigger per Object: Keep it simple and effective. Aim for one trigger per object to maintain clarity and manageability. Dividing logic into separate triggers ensures easier troubleshooting and scalability.
2. Bulkification is King: Design your triggers to handle bulk data. Salesforce processes data in batches, so writing triggers that can handle multiple records at once is key to avoiding performance issues.
3. Context is Crucial: Understand trigger context variables like
Trigger.newMap. These provide invaluable insights into the changes being processed.
4. Recursion Control: Use static variables or custom objects to control trigger recursion. Preventing multiple trigger executions can save system resources and prevent unintended data updates.
5. Collaborate with Processes: Leverage Process Builder and Workflow Rules to complement your triggers. Divide and conquer tasks between these automation tools to achieve streamlined, cohesive processes.
6. Test Rigorously: Thorough testing is non-negotiable. Cover positive and negative scenarios in unit tests, ensuring your triggers handle different situations with finesse.
7. Keep it Lean: Your triggers should focus on data-related actions. Business logic and complex workflows are better suited for Apex classes, maintaining code simplicity and readability.
8. Avoid SOQL Queries or DML statements inside FOR Loops: If we are writing the SOQL and DML in for loops it executes no of iterations which means more iterations in this loop for this cause we got governer limit exceeded and got run time exception.
9. Use of the Limits Apex Methods to Avoid Hitting Governor Limits: Apex has a System class called Limits that lets you output debug messages for each governor limit. System Log or Debug Logs. you can evaluate the output to see how the specific code is performing against the governor’s limits.