Base Validations
Utilize default validation options to build your desired data import experience.
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Utilize default validation options to build your desired data import experience.
Last updated
Was this helpful?
String Validator: This validator ensures that the column value is a string. String and Number are both valid values.
Number Validator: The Number validator verifies that the column value is a valid numeric entry. It only permits numerical values like 12 but will not allow 12.33 and john.
Double Validator: The Double validator verifies that the column value is either a Number or a Number with decimals. Valid values are 12 and 12.5 but john is not valid.
Email Validator: With the Email validator, you can ensure that the column value conforms to a valid email format. Valid values look like [email protected] while values like john and john.com are not valid.
Regex Validator: The Regex validator enables you to define a custom regular expression pattern that the column value must match.
Select Validator: Use the Select validator to restrict column values to a predefined set of options. For instance, you can use it to ensure that a "Gender" column contains only values like "Male" or "Female."
Any Validator: Any validator offers maximum flexibility by allowing any value in the column.
isRequired: Ensures that a value must exist in each cell for the column.
isUnique: Ensures that the value is unique throughout the column.
allowMultiSelect: Accepts multiple values separated by , for the cell.
It's possible to extend validation functionality to adjust according to your needs. Read more in Custom Validation.
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