Compare SQL Datasets for Customer Order Trends Across Years
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Automatically compare customer order data between consecutive years (2003-2005) from MySQL. Identify order count differences. Save time on data analysis.
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How it works
This workflow automates the comparison of customer order data across different years from a MySQL database. It starts by fetching orders from 2003 and 2004 using the mySql node. Simultaneously, it retrieves orders from 2004 and 2005 using another mySql node. Before comparison, a set node modifies the ordercount to 1 for the second dataset. Finally, the compareDatasets node merges and compares these two datasets based on customerNumber and year, highlighting discrepancies in order volumes.
Key Features
- Extract and aggregate order data from MySQL.
- Compare datasets across different time periods.
- Identify changes in customer order counts.
- Customizable comparison fields.
How To Use
- Configure MySQL Credentials: Ensure your
db4free MySQLcredentials are set up in n8n. - Execute Workflow: Click "Execute Workflow" to run the data extraction and comparison.
- Review Results: The
Compare Datasetsnode will output the differences and matches between the two datasets.
Apps Used
Workflow JSON
{
"id": "415459b5-62cb-4c7b-a3fa-7e51e31b70be",
"name": "Compare SQL Datasets for Customer Order Trends Across Years",
"nodes": 0,
"category": "Data & Analytics",
"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: 415459b5-62cb...
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Crypto_Watcher
Web3 Developer
Automated trading bots and blockchain monitoring workflows.
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