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Apex

Apex static code analysis

Unique rules to find Bugs, Vulnerabilities, Security Hotspots, and Code Smells in your APEX code

  • All rules 97
  • Vulnerability2
  • Bug26
  • Security Hotspot3
  • Code Smell66
Filtered: 22 rules found
salesforce
    Impact
      Clean code attribute
        1. SOQL queries should not contain hardcoded date literals

           Code Smell
        2. Apex classes should contain at most one "@InvocableMethod" annotation

           Bug
        3. SOQL queries should not be executed inside loops

           Code Smell
        4. SOSL queries in test methods should use "Test.setFixedSearchResults"

           Code Smell
        5. DML operations in catch blocks can mask original exceptions

           Bug
        6. Test classes and methods should not use "seeAllData=true"

           Code Smell
        7. HTTP requests should have explicit timeout configuration

           Code Smell
        8. Methods with "@AuraEnabled" should be public or global

           Bug
        9. Classes implementing "Database.Batchable" should be declared as "global"

           Bug
        10. "getRoleAndSubordinates()" should be replaced with "getRoleAndSubordinatesInternal()"

           Code Smell
        11. Future methods making HTTP callouts should include "callout=true" parameter

           Bug
        12. SOQL queries should use SystemModStamp instead of LastModifiedDate for better performance

           Code Smell
        13. Future methods should not call other future methods

           Bug
        14. Test classes should be annotated with "@isTest"

           Code Smell
        15. SOQL queries should include LIMIT clauses to prevent hitting governor limits

           Bug
        16. Private members made public for testing should use "@TestVisible" annotation

           Code Smell
        17. Batch Apex scope parameters should not exceed 2000 records

           Code Smell
        18. Custom event names should not be prefixed with "on"

           Code Smell
        19. Apex REST services should implement comprehensive exception handling

           Vulnerability
        20. SOQL queries should be assigned to Lists to avoid QueryException

           Bug
        21. InvocableMethod annotations should include descriptive label and description

           Code Smell
        22. URLs should not be hardcoded in Apex code

           Bug

        SOQL queries should use SystemModStamp instead of LastModifiedDate for better performance

        intentionality - efficient
        reliability
        Code Smell
        • performance
        • salesforce
        • soql

        This rule raises an issue when SOQL queries filter records using the LastModifiedDate field in WHERE clauses.

        Why is this an issue?

        How can I fix it?

        More Info

        In Salesforce, query performance depends heavily on whether the query can use indexed fields. The platform automatically creates indexes on certain system fields to speed up data retrieval.

        LastModifiedDate is not indexed by default, which means queries filtering on this field require full table scans. When your organization has large amounts of data (over 100,000 records), these non-selective queries can become extremely slow or even fail due to governor limits.

        SystemModStamp, on the other hand, is automatically indexed by Salesforce. Both fields track when records were last modified, but SystemModStamp provides the same filtering capability with much better performance.

        The difference becomes critical in production environments with large datasets, where non-selective queries can cause timeouts, poor user experience, and may trigger Salesforce’s non-selective query prevention mechanisms.

        What is the potential impact?

        Using LastModifiedDate in SOQL queries can lead to:

        • Slow query execution times, especially with large datasets
        • Potential query timeouts and failures
        • Poor application performance and user experience
        • Risk of hitting Salesforce governor limits
        • Non-selective query errors when querying objects with more than 100,000 records
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