DataWeave is MuleSoft’s powerful data transformation language included in the Mule runtime. One of its most useful features is the
The reduce function allows you to accumulate and combine values from an array into a single result. It is perfect for aggregating data and calculating metrics.
In this comprehensive guide, you will learn:
- What is the reduce function in DataWeave?
- How to reduce works compared to map()
- Reducing arrays to sums, averages, and more
- Combining reduction with filtering and mapping
- Reducing object arrays into a single value
- Advanced usage with functors and accumulators
- Examples and use cases for reduction
- How to write reusable reduce functions
By the end, you will be well-versed in applying DataWeave’s reduce function to transform and aggregate array data in Mule applications.[/su_box]
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