Wednesday 21 February 2024

Combine multiple objects into single object in MuleSoft? 020

 Combine multiple objects into single object in MuleSoft

Combining multiple objects into a single object in MuleSoft 4 can be achieved in several ways, depending on the desired structure and your preferred approach. Here are some common methods:

1. Merging with DataWeave:

  • Use the mergeWith function to combine key-value pairs from multiple objects. Duplicate keys will be replaced by the value from the latter object.

Code snippet

%dw 2.0

input1 = { name: "Alice", age: 30 };
input2 = { city: "New York", job: "Developer" };

output = input1 mergeWith input2; // { name: "Alice", age: 30, city: "New York", job: "Developer" }

  • Use a for loop to iterate and combine elements based on specific conditions.

Code snippet

%dw 2.0

input1 = { name: "Alice", age: 30 };
input2 = { city: "New York", job: "Developer" };

output = {
  // Copy all properties from input1
  // Add specific properties from input2 selectively
  ...input2 filter ((key, value) -> key != "name")

2. Mule Expression Language (MEL):

  • Use operators like + or concat to combine object representations of data as strings.

Maya Embedded Language

  name: "Alice",
  age: 30,
  city: "New York",
  job: "Developer"
}] = #[{ name: "Alice", age: 30 }] + " | " + #[{ city: "New York", job: "Developer" }];

3. Java Object Manipulation:

  • Access and combine individual object properties within a Mule flow using Java code.


Map<String, Object> combinedObject = new HashMap<>();
// ... further manipulation or access

4. Custom Transformer:

  • Create a custom Java transformer component to implement specific merging logic based on your requirements.

Choosing the best method:

  • Consider the structure of the objects and desired output format.

  • Evaluate the complexity of the merging logic and performance requirements.

  • Decide between readability and flexibility based on your coding preference.

Remember to test your chosen approach thoroughly to ensure correct output and data integrity. For more complex scenarios, exploring custom transformers or DataWeave scripting might offer greater flexibility and control.

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