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

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

The most common data types

Data types in JWT

Data typeDescription

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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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This type represents numeric values, and is also used to store date, time and date-time values. Learn more about Dates, times and time zones

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  • Number list: This type represents a collection of numeric 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 returned 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 listsLists

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If you need to "flatten" the list, or simply convert it to a text, to be written into any field, comment, etc., make sure to have a look at the toString() function!


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Some operators, workflow functions, parser functions, and automation elements return a logical, or boolean, value of true or false.

These examples include, but are not limited to:



Casting

Converting (

converting

casting) 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.

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

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

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