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Join

This documentation explains the Join rule flow, which demonstrates how to merge multiple arrays within a workflow based on a common key.

DecisionRules

David Škarka

Template author

Join 1
The primary objective of this flow is to demonstrate the usage of the Join node. It combines two or more arrays by matching a specific key within the objects of those arrays. In this example, the flow merges a list of names with a list of ages to create a single dataset.

Solution Components
1. Global Variables: The flow initializes two arrays defined as global variables that serve as the input for the join operation:
  • array1: Contains objects with id and name (e.g., John, Alice).
  • array2: Contains objects with id and age.
2. The Execution Engine: The workflow sequences the logic using the following nodes:
  • START node: The entry point that triggers the execution of the flow.
  • arrayJoin node: This is the functional core of the flow.
    • Input Paths: References globalVariable.array1 and globalVariable.array2.
    • Join Key: Uses the "id" field as the common identifier to match records across arrays.
    • Target: Outputs the merged result to output.joinedArray.
  • end node: Finalizes the process and returns the joined array.

Logic & Handling
The Join node processes the data as follows:
  • Matching Keys: When an id matches in both arrays, the properties (name and age) are combined into a single object.
  • Unmatched Keys: If a key exists in one array but not the other (e.g., an id for age that doesn't match a person), a new object is still created in the resulting array containing only the available data.
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