Import/Export Rules
Overview
The Import/Export Rules feature lets you efficiently manage Data Quality rules by importing them from Excel templates and exporting existing rules for backup, sharing, or migration.

Accessing Import/Export Rules
To access the Import/Export Rules functionality:
- Navigate to your Test Cases list
- Locate the Data Quality test case you want to work with
- Click on the (N) Rules link in the DQ Rules column (where N is the number of rules)
- The DQ Rules dialog will open, displaying all rules for the selected dataset
Export DQ Rules

Overview
The Export feature allows you to download all existing Data Quality rules for a specific dataset into an Excel file. This is useful for:
- Creating backups of your rules
- Sharing rules with team members
- Migrating rules to other test cases or environments
- Using as a template for bulk rule creation
Steps to Export Rules
- Open the DQ Rules dialog (as described above)
- Click the Export DQ Rules button (cyan/teal button on the left)
- The system will automatically generate and download an Excel file containing all your rules
- The exported file will be named with the dataset name and timestamp
#
Import DQ Rules

Overview
There are primarily three formats to import the Data Quality Rules.
JSON: Once rules are exported, they can be imported into the same or different test cases. Use cases include exporting existing rules from one test case to another or migrating a single test case between environments.
SQL: You can connect to any database to import data. If your data matches the specified format below, rules will be populated accordingly.
Excel: Whether you’re using SQL or Excel, the data format needs to be consistent. Refer to the attached Excel template.
Prerequisites
Before importing rules, ensure you have:
- A valid Excel template file (download the template from this documentation page)
- All required columns filled in the template
- Valid SQL syntax for SQL-based rules
- Correct column names that match your target dataset
Steps to Import Rules
- Open the DQ Rules dialog for your target dataset
- Click the Import DQ Rules button (white/outlined button)
- A file browser dialog will open
- Select your prepared Excel file (.xlsx format)
- Click Open to upload the file
- The system will process and validate the rules
- Successfully imported rules will appear in the rules list immediately
Excel/SQL Template Structure :
Test Case Structure Guide
- TEST_CASE_ID\ Unique identifier for each test case.\ &#xNAN;Format: TC-XXX (e.g., TC-101, TC-102)
- TEST_CASE_NAME\ Clear description of the validation objective, explaining the business or technical rule.
- SQL_EXECUTE_COLUMN_DQ\ SQL query utilizing INFORMATION_SCHEMA tables that outputs a single value or count. No placeholders are present.
- SQL_EXECUTE_COLUMN_DQ_EXPECTED_RESULT\
&#xNAN;Format for Expected Result:
- For COUNTS_VALIDATION: Use =0, >10, <100
- For DATA_VALIDATION: Use =VALUE, >30, <1000
- TEST_CASE_SEVERITY
- Warning: Non-critical, informational
- Severe: Critical, requires immediate action
- DQ_SQL_TYPE
- COUNTS_VALIDATION: Returns count of records.
Rule Types Supported
Currently only SQL rules can be imported in SQL and Excel:
- SQL Rules: Custom SQL queries that return validation results
- - Must return a numeric value or boolean result
- - Can include complex queries with joins, aggregations, and window functions
- Column Level Rules: Validation rules applied to specific columns
- - Specify the target column name
- - Define validation criteria