To ensure Pricing_Structure__c records are available when the test class is executed, the developer can use the following approaches:
Option A: Use a Test Data Factory class.
Valid Approach.
A Test Data Factory class is a utility class that creates test data for use in test methods.
It helps in generating consistent test data and promotes reusability.
The factory class can create the necessary Pricing_Structure__c records for testing.
Test.loadData() allows loading test data from a static resource (CSV file) into test methods.
This is useful for loading large datasets, such as over 500 records.
The CSV file can contain the Pricing_Structure__c records needed for testing.
Using SeeAllData=true accesses existing org data, which is not recommended due to test data isolation.
Tests should create their own data to ensure reliability and avoid dependencies on org data.
The without sharing keyword affects record sharing and visibility, not data availability in tests.
It does not help in creating or accessing test data.
Reference:
Test Data Factory Pattern
Best Practices for Test Classes
Option B: Use the Test.loadData() method.
Valid Approach.
Test.loadData Method
Using Test.loadData()
Incorrect Options:
Option C: Use the @IsTest(SeeAllData=true) annotation.
Not Recommended.
Isolation of Test Data from Organization Data in Unit Tests
Option D: Use without sharing on the class declaration.
Irrelevant.
Using the with sharing or without sharing Keywords
Conclusion:
To ensure Pricing_Structure__c records are available in tests, the developer can use Option A (Test Data Factory) and Option B (Test.loadData()).