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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

        HTTP requests should have explicit timeout configuration

        intentionality - complete
        reliability
        maintainability
        Code Smell
        • performance
        • salesforce
        • governor-limits

        This rule raises an issue when an HttpRequest is sent without explicitly setting a timeout value using the setTimeout() method.

        Why is this an issue?

        How can I fix it?

        More Info

        HTTP callouts in Apex can take a long time to complete, especially when external services are slow or unresponsive. Without an explicit timeout, Salesforce uses a default timeout of 120 seconds, which is often too long for most integration scenarios.

        Long-running HTTP requests consume valuable execution time and can easily cause your code to hit Salesforce’s governor limits. In a single transaction, you have a maximum of 120 seconds of total execution time. If you make multiple callouts or have other processing logic, a single slow HTTP request can consume most or all of this time budget.

        Additionally, users waiting for a response will experience poor performance when requests take too long to complete. This creates a frustrating user experience and can make your application appear unresponsive.

        By setting an appropriate timeout value, you ensure that HTTP requests fail fast when external services are unresponsive, allowing your code to handle errors gracefully and maintain good performance characteristics.

        What is the potential impact?

        Without explicit timeouts, HTTP callouts can consume excessive execution time, leading to governor limit violations and transaction failures. Users may experience long wait times or timeouts, degrading the overall user experience. In batch processing scenarios, a single slow request can cause entire batches to fail.

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