Python Code Node Benchmark

This workflow serves as a performance testing tool for n8n's Python Code node capabilities. It generates synthetic user data, processes it through Python transformations, and returns the results via webhook response to measure execution speed and data handling efficiency.

Purpose

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How It Works

1. Webhook Trigger: Accepts POST requests to initiate the benchmark test
2. Data Generation: Creates 100 synthetic user records with random UIDs, emails, names, and passwords using Python
3. Data Processing: Transforms each user record individually by adding age fields, masking passwords, removing last names, and extracting email components
4. Response: Returns all processed records back to the caller via webhook response

Workflow Diagram

graph TD
    A[Webhook] --> B[Code - Generate Data]
    B --> C[OnceForEachItemPythonCode]
    C --> D[Respond to Webhook]

Trigger

Webhook: POST endpoint at /py-code-node-benchmark - Method: POST - No authentication required - Accepts any payload (payload is ignored)

Nodes Used

Node Type	Node Name	Purpose
Webhook	Webhook	Receives POST requests to start the benchmark
Code (Python)	Code	Generates 100 synthetic user records with random data
Code (Python)	OnceForEachItemPythonCode	Processes each user record individually with transformations
Respond to Webhook	Respond to Webhook	Returns all processed items to the webhook caller

External Services & Credentials Required

None - this workflow is self-contained and doesn't require external API connections or credentials.

Environment Variables

None required.

Data Flow

Input: Any POST request to the webhook endpoint (payload ignored)

Output: Array of 100 processed user objects with the following structure:

{
  "uid": "AbCdEfGh-1234-5678-9012-AbCdEfGh",
  "email": "username@domain.com",
  "firstname": "RandomName",
  "password": "**********",
  "age": 25,
  "emailData": {
    "user": "username",
    "domain": "domain.com"
  }
}

Transformations Applied: - Adds age field (10-40 years, pseudo-randomly generated from email) - Masks password field with asterisks - Removes lastname field - Adds emailData object with parsed email components

Error Handling

No explicit error handling is implemented in this workflow. Errors would cause the workflow to fail and return a 500 status code.

Known Limitations

• Fixed dataset size of 100 records
• No input validation on webhook requests
• Pseudo-random generation is deterministic based on hash functions
• No error handling for malformed email addresses
• Memory usage scales linearly with dataset size

Related Workflows

None specified.

Setup Instructions

1. Import Workflow: Import the JSON into your n8n instance
2. Activate Workflow: Enable the workflow to make the webhook endpoint available
3. Test Endpoint: Send a POST request to https://your-n8n-instance/webhook/py-code-node-benchmark
4. Monitor Performance: Use the response time and data to benchmark Python Code node performance

Testing with curl:

curl -X POST https://your-n8n-instance/webhook/py-code-node-benchmark \
  -H "Content-Type: application/json" \
  -d '{}'

The workflow will generate 100 user records, process them through Python transformations, and return the results for performance analysis.