Version

    List of Rules

    Basic rules

    There are following validation rules: Empty/Nonempty field, Empty/Nonempty subset, Comparison, Interval, Expression, Lookup, Accept and Reject.

    Empty/Nonempty field

    Rule checks whether the field is empty or nonempty according to the rule settings.

    The rule can be found in Basic rules.

    Parameter name Parameter description Value example

    Input field

    Field to be validated

    startDate

    Output field

    Field to that data will be written.

    startDate

    Valid

    Which content - empty or nonempty - should be considered as valid.

    Nonempty field

    Custom reject message

    Error message defined by the user, mapped to field validationMessage.

    The field is not a natural number.
    Rule usage example

    Field address has to contain any nonempty value.
    Empty/Nonempty subset

    Rule checks whether at least n of m selected fields are empty or nonempty according to the rule settings.

    The rule can be found in Basic rules.

    Parameter name Parameter description Value example

    Input fields

    Fields to be validated

    startDate, endDate, tariff

    Count

    Should be counted empty or nonempty fields.

    Nonempty fields

    Minimal count

    Number of empty (or nonempty) field needed to pass validation.

    2

    Custom reject message

    Error message defined by user, mapped to field validationMessage.

    Not enough contact details.
    Rule usage example

    At least 2 of the fields phone, email, and address must have a nonempty value.
    Comparison

    This rule compares the incoming field value with constant set up in rule parameters.

    The rule can be found in Basic rules.

    Parameter name Parameter description Value example

    Input field

    Field to be validated

    age

    Output field

    Field to that data will be written.

    age

    Compare as

    Data type used for comparison. For example 5 is lower than 10 if any numeric type is set up here, but 5 is greater than 10 using string (alphabetical) comparison.

    Decimals

    Operator

    An operator used for comparison between a constant on the following line and a field value.

    >=

    Compare with

    A field is being compared against this value.

    21

    Accept empty values

    If checked, empty string and null are considered as valid values.

    false

    Custom reject message

    An error message defined by the user, mapped to the fieldvalidationMessage.

    Too young.
    Rule usage example.

    Rule usage example: Age in years has to be greater or equal to 21.
    Interval

    This rule checks whether the incoming field value is in the specified interval.

    The rule can be found in Basic rules.

    Parameter name Parameter description Value example

    Input field

    A field to be validated

    weight

    Output field

    A field to that data will be written.

    weight

    Compare as

    A data type used for comparison.

    decimals

    Boundaries

    Set whether include or not limit values.

    From exclusive, to inclusive

    From

    Lower limit

    480

    To

    Upper limit

    520

    Accept empty values

    If checked, empty string and null are considered as valid values.

    true

    Custom reject message

    An error message defined by the user, mapped to the field validationMessage.

    Not enough heavy or too heavy.
    Rule usage example

    Rule usage example: Weight in kilograms has to be greater than 480 and lower or equal than 520.
    Expression

    Evaluates a CTL expression and rejects validated record when the result is false.

    The rule can be found in Basic rules.

    Parameter name Parameter description Value example

    Expression

    CTL expression to be evaluated for each validated record

    $in.0.startTime < $in.0.endTime

    Custom reject message

    An error message defined by the user, mapped to the field validationMessage.

    Start time greater than end time.
    Rule usage example

    Start time is lower than end time. Records where start time is greater than end time will be rejected.

    Filter expression editor helps editing the CTL expression.
    Lookup

    Checks if a value is present or missing in a lookup table.

    The rule can be found in Basic rules.

    Parameter name Parameter description Value example

    Lookup name

    Name of the lookup table. The table needs to be present in the current graph.

    MyLookupTable

    Key mapping

    Mapping between fields from lookup table to data fields.

    tableField:=dataField

    Action on match

    Which records should be interpreted as valid: A record with fields having a value in the lookup table or records having values not present in the lookup table.

    Reject record

    Custom reject message

    Error message defined by user, mapped to field validationMessage.

    Unknown product.
    Rule usage example

    Product code is a valid product code from the table. Consider all record not having corresponding product code in the lookup table as invalid.

    The data field and corresponding field from the lookup table need to have same data type.
    Accept

    The rule accepts any field.

    The rule can be found in Basic rules.

    Reject

    The rule rejects any record.

    The rule can be found in Basic rules.

    String rules

    String rules contains following available validation rules:Is Date, Is Number, String Length, Pattern Match, Enum Match, Email Address and Phone Number.

    Is Date

    Rule Is Date checks string field to be in desired date and time format. See Date and Time Format

    The rule can be found in String rules.

    Parameter name Parameter description Value example

    Input field

    Field to be validated

    startDate

    Output field

    Having successfully converted the value from string to date the converted value is being assigned to the field with this name in output record on port 0.

    start_date

    Accept empty values

    If checked, empty string and null are considered as valid values.

    false

    Custom reject message

    An error message defined by the user, mapped to the field validationMessage.

    Invalid start date.
    Rule usage example

    Check start date to be in format yyyy-MM-dd.

    Functionality of date validation depends on correct locale and timezone settings. See Locale and Time Zone.

    If you have date in the yyyyMMdd format (e.g. 20150111) and you need to have exactly 8 characters, use Strict validation from Locale and format settings to check date correctly. Otherwise 2011011 would be considered as valid date corresponding to the mask. The date would be interpreted as 2011-01-01.
    Is Number

    Rule Is Number validates field to have a desired numeric format.

    The rule can be found in String rules.

    Parameter name Parameter description Value example

    Input field

    Field to be validated

    weight

    Output field

    Having successfully converted the field value to number of predefined type, the numeric value is assigned to the output field of name specified here.

    weight_as_number

    Number data type

    Numeric data type

    integer

    Accept empty values

    If checked, empty string and null are considered as valid values.

    true

    Custom reject message

    An error message defined by the user, mapped to the field validationMessage.

    Non-numeric value found in field weight.
    Rule usage example

    Weight must be an integer.
    String Length

    Rule String Length checks the length of the string.

    The rule can be found in String rules.

    Parameter name Parameter description Value example

    Input field

    Field to be validated

    userName

    Output field

    Field to that data will be written.

    userName

    Minimal length

    Lower bound of length comparison.

    3

    Maximal length

    Upper bound of length comparison.

    20

    Accept empty values

    If checked, empty string and null are considered as valid values.

    false

    Custom reject message

    An error message defined by the user, mapped to the field validationMessage.

    User name too short or too long.
    Rule usage example

    Login name must have at least 3 characters. The maximal allowed length is 20 characters.
    Pattern Match

    The Pattern Match rule checks whether the field corresponds to a regular expression.

    The rule can be found in String rules.

    Parameter name Parameter description Value example

    Input field

    Field to be validated

    name

    Output field

    Field to that data will be written.

    name

    Pattern to match

    Regular pattern used for comparison.

    A[a-z]{2}.*

    See Regular Expressions

    Ignore case

    Ignores differences between lower case and upper case letters. If the field is checked, lower case and upper case letters will be considered as same.

    False

    Accept empty values

    If checked, empty string and null are considered as valid values.

    false

    Custom reject message

    An error message defined by the user, mapped to the field validationMessage.

    Name does not begin with A or does not have at least three letters.
    Rule usage example

    Check the name to begin with letter A and to be formed by at least 3 letters.

    If your regular expression does not match the string and you expect that it should match, you probably need pattern flag, e.g. (?s).*. See Regular Expressions
    Enum Match

    The Enum Match rule checks a field to contain one of values from a predefined set of values.

    The rule can be found in String rules.

    Parameter name Parameter description Value example

    Input field

    Field to be validated

    reportedCount

    Output field

    Field to that data will be written.

    reported count

    Compare as

    Data type used for comparison. For example 5 is lower than 10 if any numeric type is set up here, but 5 is greater than 10 using string (alphabetical) comparison.

    Decimals

    Accept values

    Set of values considered as valid.

    A,B

    Ignore case

    Ignores differences between lower case and upper case values.

    True

    Accept empty values

    If checked, empty string and null are considered as valid values.

    false

    Custom reject message

    An error message defined by the user, mapped to the field validationMessage.

    Value not out of the set.
    Rule usage example

    Field must have value of "A" or "B".
    Email Address

    The Email Address rule checks a field to be valid email address. Valid email address means an email address in correct format. It does not mean existing email address.

    The rule can be found in String rules.

    Parameter name Parameter description Value example

    Input field

    Field to be validated

    senderEmail

    Output field

    Field to that data will be written.

    senderEmail

    Plain e-mail address only

    Allows email addresses in the form like "john@sea.com" only. If the checkbox is checked, addresses like "<john@sea.com>" will be considered as invalid.

    True

    Allow group addresses

    Allows deprecated group address format (see RFC 822) to be considered as valid email address too. Group format is in the form: "Group: john@sea, francis@ocean". Opening string with a colon is necessary.

    True

    Allow addresses with no TLD

    Allows addresses with no top-level domain, like "admin@mailserver1".

    False

    Accept empty values

    If checked, empty string and null are considered as valid values.

    true

    Custom reject message

    An error message defined by the user, mapped to the field validationMessage.

    Sender email is invalid
    Rule usage example

    Check that field senderEmail contains valid email address.
    Phone Number

    The Phone Number rule checks a field for a phone number in correct format.

    The rule can be found in String rules.

    Furthermore the rule can convert a validated phone number to a specified format.

    Parameter name Parameter description Value example

    Input field

    Field to be validated

    customerPhoneNumber

    Output field

    Field to that data will be written.

    validatedPhoneNumber

    Region

    Phone numbers of which region are considered as valid. When this field is not specified, only international phone numbers (start with + sign) are accepted.

    US - United Stated (+1)1)

    Phone number pattern

    An optional parameter. Phone number being validated must match the specified pattern. When not specified, an arbitrary format is accepted, but still only certain formatting characters are allowed.

    +1 DDD.DDD.D{3,5}2)

    Accept empty values

    Empty values are considered as a valid phone number.

    true

    Output format

    The rule enables to get a phone number in several formats. 3)

    E.164 ITU-T Recommendation (+41446681800)

    Custom reject message

    An error message defined by the user, mapped to the field validationMessage.

    Invalid phone number

    1) (201) 555-5555 is a valid US number, but so is +420 777 777 777 - it is a valid international phone number that you can dial from the US.

    2) Usage: D substitutes any digit. You can also specify allowed repetition count with {min,max} pattern.

    3) The following output formats of phone numbers are available:

    • Original input value

    • E.164 ITU-T Recommendation (+41446681800)

    • International format - E.123 ITU-T Recommendation (+41 44 668 1800)

    • National format - E.123 ITU-T Recommendation (044 688 1800)

    • tel: URI RFC 3966 (tel: +41-44-668-1800)

    Rule usage example

    Phone number has to be valid US number with leading international prefix.
    Assignment rules

    Assignment rules serve data manipulation within Validator.

    These rules do not affect the result of the validation - that is, their result is neither valid nor invalid. Their validation result will neither make an AND group fail nor an OR group succeed.

    There are following assignment rules available: Copy, Transform and Copy all fields by name.

    Copy

    Copy copies a value of an input field to another output field.

    The rule can be found in Assignment rules.

    Parameter name Parameter description Value example

    Input field

    Field to be copied

    startDate

    OutputField

    An output field for a value copied from the field above.

    startDateStr
    Rule usage example

    Copy a content of the field startDate to the field startDateStr.
    Transform

    Transform can be used to produce custom output values.

    The rule can be found in Assignment rules.

    Parameter name Parameter description Value example

    Transform

    A transformation in CTL. For detailed information about CloverDX Transformation Language, see CTL2 - CloverDX Transformation Language. Return values SKIP and STOP apply. SKIP causes no output to be produced, STOP aborts the validation. See Return Values of Transformations.
    Rule usage example

    Copy a group of input fields to a different group of output fields based on which branch of validation tree (group of rules) was successful.
    Copy all fields by name

    Copy all fields by name copies all input fields onto output fields having the same name and type.

    The rule is added as a first rule in a tree of active validation rules, by default. The rule should not be put after any rule assigning values to output fields as it would overwrite all the output values produced by rules above it.

    The rule can be found in Assignment rules.

    Custom rules

    Custom rules are validation rules written in CTL2. CTL2 code of user defined validation rule contains a function returning a boolean with the same name as is the rule name. The rule can have one or more rule parameters.

    Custom rules can be found in Available rules.

    Parameter name Parameter description Value example

    Parameter mapping

    Mapping of fields to function parameters.

    param1:=product

    Custom reject message

    An error message defined by the user, mapped to the field validationMessage.

    Invalid product code.

    Due to rule name - function name binding the Validator can not work with overloaded CTL2 functions (functions with the same name but different set of input parameters).
    Imports

    Imports enables to link an external file with CTL functions and use the functions as Validation rules. The imported file or files can contain any type of CTL functions but only functions returning boolean are listed in available validation rules and can be used as validation rules.

    Editing of linked files containing CTL functions is accessible from the dialog: Select the desired file and click on the edit icon below the list of available rules.

    Parameter name Parameter description Value example

    Parameter mapping

    Mapping of fields to function parameters.

    param2:=postCode

    Custom reject message

    An error message defined by the user, mapped to the field validationMessage.

    The postcode is not valid.
    Compatibility
    Version Compatibility Notice

    3.5.0-M2

    Validator is available since 3.5.0-M2.

    4.1.0

    You can now use Strict validation parameter of Locale and format settings.