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Throughout the documentation we refer to data types that can be used in the expression parser and its functions.

Data types define what kind of data a function needs as input and what you should expect as output.


The most common data types

 values. Learn more about Dates, times and time zones

Pro tip

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This type represents any kind of text or character string including all kinds of select and multi-select fields

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DECADIS:Number to text
DECADIS:Number to text

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Any field type or data type is can be transformed to text, simply rempo



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This type represents numeric values, and is also used to store Date, Time and Date-Time (

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DECADIS:Number to text
DECADIS:Number to text

Number or Date-Time fields can be referenced as numbers using the following notation: {...somefield}

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  • Number /Text list: This type represents a collection of numeric/text values  values returned by various functions. The size may vary from 0 to any number of numeric values.
  • Text list: This type represents a collection of /text values . It is used to read the value of a numeric/text field in a selection of issuesreturned by various functions. The size may vary from 0 to any number of text values.
  • Issue list: This type represents a collection of issues. The size may vary from 0 to any number of issues. It is returned by issue selection of filtering functions.

Learn more about Working with lists

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Comparison Logical operators return a logical, or boolean value of true or false.



Casting (converting) data types

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Casting (or transforming) data types is very important throughout all functions provided by JWT.

To be able to set, transform or calculate values it might be necessary to turn a text value to a number, a number or a timestamp to a text, and even individual text or number values to a list.

The following functions will help you to achieve that.


Available functions


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Automatic casting from Number to Text-String

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Whenever you write a numeric term at the right-hand side of concat operator + or a comparison operator like = , and the left-hand side is occupied by a text-string term, the parser will automatically transform the right-hand side term into a string

  • + (string concat): "His age is " + 30 is equivalent to "His age is " + toString(30)
  • = (any comparison operator): "30" = 30 is equivalent to "30" = toString(30)