Boost Your Salesforce Query Performance with @ReadOnly for Large Data
Summary
The @ReadOnly annotation in Apex enables Salesforce developers to query up to one million rows, bypassing the standard 50,000 row SOQL limit, which is essential when working with large datasets. It restricts DML operations and asynchronous jobs to maintain system stability but is ideal for read-only scenarios like reporting, data export, and dashboards. Developers can optimize performance in REST and SOAP web services or schedulable classes by leveraging @ReadOnly, improving handling of large data volumes without risking data modifications.
Takeaways
- Use @ReadOnly to increase SOQL query limits up to 1,000,000 rows for large data retrieval.
- Avoid DML operations and asynchronous Apex calls within @ReadOnly annotated methods.
- Apply @ReadOnly primarily in REST/SOAP web services and schedulable Apex contexts.
- Leverage @ReadOnly for reporting, data export, and read-only dashboard scenarios.
- Annotate Apex methods with @ReadOnly to optimize query performance without risking data changes.
Hello friends, today we are going to discuss Boost Your Salesforce Query Performance with @ReadOnly for Large Data. Understanding the @ReadOnly Annotation in Apex. Salesforce’s Apex programming language offers various annotations to enhance the functionality and performance of your code. One such powerful annotation is @ReadOnly. What is the @ReadOnly Annotation? The @ReadOnly annotation allows you to perform less restrictive queries against the Salesforce database by increasing the limit of the number of returned rows for a request to 1,000,000 . This is particularly useful when dealing with large datasets that exceed the standard SOQL query limit of 50,000 rows. Key Features and Restrictions While the @ReadOnly annotation relaxes the query row limit, it comes with certain restrictions to ensure system stability and performance: No DML Operations: You cannot perform any Data Manipulation Language (DML) operations such as insert, update, delete, or undelete within a @ReadOnly.