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Tech review

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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

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Data typeDescription

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titletext

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 textDECADIS:Number to text
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tip

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 date, Time time and Date-Time (

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) values. When storing any temporal value, the number represents the milliseconds elapsed since January 1, 1970, 00:00:00 GMT.

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date-time values. Learn more about Dates, times and time zones

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DECADIS:_snip_number_to_text
DECADIS:_snip_number_to_text

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

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  • Number
/Text values
  • list: This type represents a collection of numeric
/text
  •  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 issues
  • 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.
StatussubtletruetitleBoolean
Comparison operators return a logical value true or false.
Casting (converting) data types

Learn more about Lists

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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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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:



Converting (casting) data types

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Converting data types
Converting data types
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DECADIS:Contact support
DECADIS:Contact support
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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)