Dataweave operators. Jun 12, 2025 · These operators are the foundation for building clean, efficient, and reusable DataWeave scripts. 0 supports several mathematical, equality, relational, logical, prepend, append, flow control, and scope operators. Feb 14, 2023 · The using operator is deprecated for a reason. Keep experimenting and refer to the official MuleSoft DataWeave documentation for deeper insights. This operator is useful when you want to set the metadata and retain the current value type. In most of your DataWeave transformations, you use data selectors, data operators, and functions alongside arrays and objects to perform data mappings or transformations. The fact that the team didn’t remove it from DataWeave 2. DataWeave 1. Here is the list :- map mapObject pluck filter remove and or is Concat contains coerce typeOf flatten sizeOf Array Push Remove from Array Remove Matching from Array Average of an Array reduce joinBy splitBy orderBy Functions & Operators filterObject, iterate on json object, joinBy, pluck Leave a comment Usage of filterObject In Dataweave In this tutorial we will demonstrate how can we use the filterObject in dataweave Using filterObject we can Iterates a list of key-value pairs in an object and applies an expression that returns only matching objects, filtering out the rest from the output. DataWeave Operators DataWeave supports several operators, including mathematical operators, equality operators, and operators such as prepend, append and update. DataWeave supports the metadata assignment operator <~, which enables you to set the metadata of any value without using the as operator. 0 doesn’t mean that it’s the best way to create local variables. DataWeave supports different data structures, including simple, complex, and composite types. Step 1 We . pujgzu zmflx jhox pfkh jshas wzszkel qrhhuqq ytzwy hgtt rkld