ETL Validator Usecase - Check for Mandatory Fields
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The document outlines the use of an ETL Validator for checking mandatory fields in a database, specifically focusing on the customers table. It details the steps for creating test cases to identify records with blank fields and null values, including SQL query rules and generating reports. Key benefits of using ETL Validator include comprehensive test coverage, repeatability, cost reduction, and faster time to market.
ETL Validator Usecase - Check for Mandatory Fields
- 1. ETL Validator Usecases Mandatory Field Check www.datagaps.com
- 2. ETL Validator Comprehensive Testing Automation Extract. Load. Validate (Patented)
- 3. 100% Test Coverage Repeatability Cost Reduction Faster Time to Market End to End Testing ETL Validator Key Benefits
- 4. Usecase : Checking for mandatory fields Create a test case: Identify records from Customers table with • ‘First Name’ is blank • ‘Marital Status’is null Start with creating a new Data Rules Test Plan
- 5. Usecase: Checking for mandatory fields Name your test plan. Select the Database Connection. Navigate to the next screen.
- 6. Usecase: Checking for mandatory fields Expand the schema; in this example, ‘public’. Select and expand the table ‘Customers’. Select the field ‘cust_first_name’. Click on ‘Add SQL Query Rule’.
- 7. Usecase: Checking for mandatory fields Type in the SQL query: select * from customers where cust_first_name = ‘’ ‘Run Query’ to see the results. Name the query. Save the query.
- 8. Usecase: Checking for mandatory fields Add second condition: flag records where Marital Status is null. Select the field ‘cust_marital_status’ Click on ‘Add New Rule’. Choose ‘is not null’; the test case will flag those records that do not satisfy the rule.
- 9. Usecase: Checking for mandatory fields Click on ‘Test’. Records that do not satisfy the rule will be displayed in grid below. Navigate to Next Screen.
- 10. Usecase: Checking for mandatory fields In order to run test cases of only the ‘Customers’ table – • Click on settings icon • Unselect other tables.
- 11. Usecase: Checking for mandatory fields Click on ‘Run’. ‘FAILED’ indicates that there are records that didn’t satisfy the rule. The grid shows results from first test case in the list above. Click on subsequent rows to see those results. Click on ‘View Report in Browser’ to see same results in web layout.
- 12. Usecase: Checking for mandatory fields Same info is displayed in web layout. The link can be shared with others. Click on the upward arrow to see the records
- 13. More with ETL Validator…. • Data counts validation with allowed variance • Check Data Quality using Data Rules Test Plan • Advanced ETL Testing using a Component Test Case • Avoiding inline views on your queries in ETL Validator www.datagaps.com