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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

Data typeDescriptionExample

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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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Any field type or data type is susceptible of being transformed to text, so any field can be referenced as a text-string value using the following notation: %{...anyfield}, and %{...anyfield.i} for Cascading Select or Multi-Cascading Select fields, where i is the index that represents the level to be accessed. (i = 0 is used for base level).

"Hello world"

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

1, 1.1, -1.1, .1, -.1

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

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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.
  • Number/text: fieldValue(), append(), union(), except(), intersect() and distinct()(for both numeric and text values), [1, 2, 3]/["string_A", "string_B", "string_C"]
    • Issue list: subtasks(), linkedIssues(), transitionLinkedIssues(), filterByFieldValue(), filterByStatus(), filterByIssueType(), filterByResolution(), filterByProject(), append(), union(), except(), intersect() and distinct()

    Learn more about Lists

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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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    Comparison operators

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

    isActive(text user_name)

    These examples include, but are not limited to:



    Converting (casting) data types

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    Additional data types

    You will find many data type references throughout the documentation that need to be explained in more detail. They all related to one of the categories above.

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    Data typeDescriptionExample

    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.

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