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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. |
Data types in JWT
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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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| "Hello world" |
| This type represents numeric values, and is also used to store Date date, Time time and Date-Time (
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1, 1.1, -1.1, .1, -.1 date-time values. Learn more about Dates, times and time zones
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fieldValue(), append(), union(), except(), intersect() and distinct()(for both numeric and text values), [1, 2, 3]/ ["string_A", "string_B", "string_C"] subtasks(), linkedIssues(), transitionLinkedIssues(), filterByFieldValue(), filterByStatus(), filterByIssueType(), filterByResolution(), filterByProject(), append(), union(), except(), intersect() and distinct( )Learn more about Lists
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| Comparison operators Some operators, workflow functions, parser functions, and automation elements return a logical, or boolean, value of | 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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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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