Merge Multiple Runs Into One
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Combines results from multiple workflow executions into a single output.
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About This Workflow
Overview
This workflow is designed to merge data from multiple individual workflow runs into a single, consolidated dataset. It's particularly useful when a workflow generates data iteratively or when multiple instances of a sub-workflow need to be aggregated.
Key Features
- Iteratively collects data from various execution paths.
- Utilizes a loop to process and combine items.
- Includes a conditional check to determine when all items have been processed.
- Uses a
NoOpnode as a placeholder for collected items. - Merges collected items into a single output using a Code node.
How To Use
- Trigger the workflow manually or via an external event.
- The 'Customer Datastore' node (or similar) will fetch initial data.
- The 'Loop Over Items' node will manage the iteration process.
- Data is collected and potentially processed within the loop.
- The 'Done looping?' node checks for completion.
- The 'Merge loop items' node combines all gathered results into one output.
Apps Used
Workflow JSON
{
"id": "1aff7754-5ebf-41d8-a87c-a1263bccdbf6",
"name": "Merge Multiple Runs Into One",
"nodes": 0,
"category": "Data Manipulation",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: 1aff7754-5ebf...
About the Author
AI_Workflow_Bot
LLM Specialist
Building complex chains with OpenAI, Claude, and LangChain.
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