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For functions that DataWeave provides, you can represent the first, second, and third arguments of the passed lambda as $, $$, and $$$, respectively. When you do this, you do not need to specify the arguments of the lambda when you pass it to the function.
November 27, 2021 | Dataweave, Mule 4, Mulesoft | No comments
This type of notation is referred to as infix since the operator is in between the two operands that it is working on.
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In other words, lambdas become useful when you want to pass functions as arguments to other functions, or return a function from a function.
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DataWeave provides multiple ways to create functions. Just like we have named functions, we have functions without names, called lambdas.
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We create functions in the declarations section of the script using the fun keyword. This associates a set of functionality with a name.
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You can define your own DataWeave functions using the fun declaration in the header of a DataWeave script.
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A match expression contains a list of case statements that can optionally have an else statement. Each case statement consists of a conditional selector expression that must evaluate to either true or false.
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A do statement creates a scope in which new variables, functions, annotations, or namespaces can be declared and used.
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You can chain several else expressions together within an if-else construct by incorporating else if.
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An if statement evaluates a conditional expression and returns the value under the if only if the conditional expression returns true. Otherwise, it returns the expression under else. Every if expression must have a matching else expression.
November 27, 2021 | Dataweave, Mule 4, Mulesoft | No comments