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ETL Validator Usecases:
List of Values Conformance Check
www.datagaps.com
ETL Validator
Comprehensive Testing
Automation
Extract. Load. Validate (Patented)
100% Test
Coverage
Repeatability Cost Reduction Faster Time to
Market
End to End Testing
ETL Validator
Key Benefits
Usecase :
LoV Conformance Check
Create a test case:
Identify records from
Customers table which
have ‘Marital Status’
values other than
‘Married’ or ‘Single’ or
‘Divorced’
Start with creating a
new Data Rules Test
Plan
Usecase:
Name the test plan.
Select the Database
Connection.
Navigate to the next
screen.
LoV Conformance Check
Usecase:
Expand the schema; in
this example, ‘public’.
Click on ‘Add Custom
Rule’.
Rule Builder window
opens. Click on ‘Add
New Attribute Rule’
LoV Conformance Check
Usecase:
Select Customers
table 
custmarital_status
field.
Choose the
condition ‘is not
equal to’
LoV Conformance Check
Usecase:
Enter value ‘Married’.
So a rule is created where
cust_marital_status <>
‘Married
Create 2 more rules -
cust_marital_status <>
‘Single’
cust_marital_status <>
‘Divorced’
LoV Conformance Check
Usecase:
Click on ‘Build Query’
Data grid below shows
records which didn’t satisfy
the rules we set up in ‘Query
Conditions’.
The ‘SQL’ pane shows the sql
that was generated as per the
rules we specified.
Name the query.
Click on ‘Save Query’.
LoV Conformance Check
Usecase:
The new rule ‘Lov_Check’ is
displayed in Data Rules
window.
Navigate to Next Screen
where these test cases are
run.
Before clicking on ‘Run’, click
on settings and unselect all
the tables except
‘Customers’.
‘Save’ the selection.
LoV Conformance Check
Usecase:
Click on ‘Run’.
All the Rules set up for
‘Customers’ table will be
executed.
‘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.
LoV Conformance Check
Usecase:
Same info is
displayed in web
layout.
The link can be
shared with others.
Click on the upward
arrow to see the
records
LoV Conformance Check
More with ETL Validator….
• Validating Field and Data Format
• 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
• Checking for Mandatory Fields
www.datagaps.com

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ETL Validator Usecase - checking for LoV conformance

  • 1. ETL Validator Usecases: List of Values Conformance Check www.datagaps.com
  • 3. 100% Test Coverage Repeatability Cost Reduction Faster Time to Market End to End Testing ETL Validator Key Benefits
  • 4. Usecase : LoV Conformance Check Create a test case: Identify records from Customers table which have ‘Marital Status’ values other than ‘Married’ or ‘Single’ or ‘Divorced’ Start with creating a new Data Rules Test Plan
  • 5. Usecase: Name the test plan. Select the Database Connection. Navigate to the next screen. LoV Conformance Check
  • 6. Usecase: Expand the schema; in this example, ‘public’. Click on ‘Add Custom Rule’. Rule Builder window opens. Click on ‘Add New Attribute Rule’ LoV Conformance Check
  • 7. Usecase: Select Customers table  custmarital_status field. Choose the condition ‘is not equal to’ LoV Conformance Check
  • 8. Usecase: Enter value ‘Married’. So a rule is created where cust_marital_status <> ‘Married Create 2 more rules - cust_marital_status <> ‘Single’ cust_marital_status <> ‘Divorced’ LoV Conformance Check
  • 9. Usecase: Click on ‘Build Query’ Data grid below shows records which didn’t satisfy the rules we set up in ‘Query Conditions’. The ‘SQL’ pane shows the sql that was generated as per the rules we specified. Name the query. Click on ‘Save Query’. LoV Conformance Check
  • 10. Usecase: The new rule ‘Lov_Check’ is displayed in Data Rules window. Navigate to Next Screen where these test cases are run. Before clicking on ‘Run’, click on settings and unselect all the tables except ‘Customers’. ‘Save’ the selection. LoV Conformance Check
  • 11. Usecase: Click on ‘Run’. All the Rules set up for ‘Customers’ table will be executed. ‘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. LoV Conformance Check
  • 12. Usecase: Same info is displayed in web layout. The link can be shared with others. Click on the upward arrow to see the records LoV Conformance Check
  • 13. More with ETL Validator…. • Validating Field and Data Format • 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 • Checking for Mandatory Fields www.datagaps.com