{
  "id": "VU0kmvnWzctSFm2M",
  "meta": {
    "instanceId": "workflow-fed4e900",
    "versionId": "1.0.0",
    "createdAt": "2025-09-29T07:07:46.736268",
    "updatedAt": "2025-09-29T07:07:46.736294",
    "owner": "n8n-user",
    "license": "MIT",
    "category": "automation",
    "status": "active",
    "priority": "high",
    "environment": "production"
  },
  "name": "Convert Parquet, Avro, ORC & Feather via ParquetReader to JSON",
  "tags": [
    "automation",
    "n8n",
    "production-ready",
    "excellent",
    "optimized"
  ],
  "nodes": [
    {
      "id": "651a10dc-1c91-4957-bcdd-3e55d7328f04",
      "name": "Send to Parquet API",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        1100,
        440
      ],
      "parameters": {
        "url": "{{ $env.API_BASE_URL }}",
        "options": {
          "bodyContentType": "multipart-form-data"
        },
        "requestMethod": "POST",
        "jsonParameters": true,
        "sendBinaryData": true,
        "binaryPropertyName": "=file0"
      },
      "typeVersion": 1,
      "notes": "This httpRequest node performs automated tasks as part of the workflow."
    },
    {
      "id": "42a7e623-ca11-4d38-94bb-cfb48d021a5c",
      "name": "Webhook",
      "type": "n8n-nodes-base.webhook",
      "notes": "Example trigger flow:\n\ncurl -X POST {{ $env.WEBHOOK_URL }} \\\n  -F \"file=@converted.parquet\"",
      "position": [
        900,
        440
      ],
      "webhookId": "0b1223c9-c117-45f9-9931-909f2db28955",
      "parameters": {
        "path": "convert",
        "options": {
          "binaryPropertyName": "file"
        },
        "httpMethod": "POST",
        "responseData": "allEntries",
        "responseMode": "lastNode"
      },
      "notesInFlow": false,
      "typeVersion": 2
    },
    {
      "id": "9b87f027-7ef2-40a7-88d7-a0ae9ef73375",
      "name": "Sticky Note",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        0,
        0
      ],
      "parameters": {
        "width": 840,
        "height": 580,
        "content": "### ✅ **How to Use This Flow**\n\n#### 📥 Trigger via File Upload\n\nYou can trigger this flow by sending a `POST` request with a file using **curl**, **Postman**, or **from another n8n flow**.\n\n#### 🔧 Example (via `curl`):\n```bash\ncurl -X POST {{ $env.WEBHOOK_URL }} \\\n-F \"file=@converted.parquet\"\n```\n> Replace `converted.parquet` with your local file path. You can also send Avro, ORC or Feather files.\n\n#### 🔁 Reuse from Other Flows\nYou can **reuse this flow** by calling the webhook from another n8n workflow using an **HTTP Request** node.  \nMake sure to send the file as **form-data** with the field name `file`.\n\n#### 🔍 What This Flow Does:\n- Receives the uploaded file via webhook (`file`)\n- Sends it to `{{ $env.API_BASE_URL }}` as `multipart/form-data` (field name: `file`)\n- Receives parsed data, schema, and metadata\n"
      },
      "typeVersion": 1,
      "notes": "This stickyNote node performs automated tasks as part of the workflow."
    },
    {
      "id": "06d3e569-8724-48f2-951f-a1af5e0f9362",
      "name": "Parse API Response",
      "type": "n8n-nodes-base.code",
      "position": [
        1280,
        440
      ],
      "parameters": {
        "jsCode": "const item = items[0];\n\n// Convert `data` (stringified JSON array) → actual array\nif (typeof item.json.data === 'string') {\n  item.json.data = JSON.parse(item.json.data);\n}\n\n// Convert `meta_data` (stringified JSON object) → actual object\nif (typeof item.json.meta_data === 'string') {\n  item.json.meta_data = JSON.parse(item.json.meta_data);\n}\n\nreturn [item];\n"
      },
      "typeVersion": 2,
      "notes": "This code node performs automated tasks as part of the workflow."
    }
  ],
  "active": true,
  "pinData": {},
  "settings": {
    "executionOrder": "v1",
    "saveManualExecutions": true,
    "callerPolicy": "workflowsFromSameOwner",
    "errorWorkflow": null,
    "timezone": "UTC",
    "executionTimeout": 3600,
    "maxExecutions": 1000,
    "retryOnFail": true,
    "retryCount": 3,
    "retryDelay": 1000
  },
  "versionId": "c10e1897-094e-42c6-bde9-1724972ada3e",
  "connections": {
    "651a10dc-1c91-4957-bcdd-3e55d7328f04": {
      "main": [
        [
          {
            "node": "error-handler-651a10dc-1c91-4957-bcdd-3e55d7328f04",
            "type": "main",
            "index": 0
          }
        ],
        [
          {
            "node": "error-handler-651a10dc-1c91-4957-bcdd-3e55d7328f04-105b8ea1",
            "type": "main",
            "index": 0
          }
        ],
        [
          {
            "node": "error-handler-651a10dc-1c91-4957-bcdd-3e55d7328f04-b79b126e",
            "type": "main",
            "index": 0
          }
        ],
        [
          {
            "node": "error-handler-651a10dc-1c91-4957-bcdd-3e55d7328f04-0620041b",
            "type": "main",
            "index": 0
          }
        ],
        [
          {
            "node": "error-handler-651a10dc-1c91-4957-bcdd-3e55d7328f04-db01e9c1",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "42a7e623-ca11-4d38-94bb-cfb48d021a5c": {
      "main": [
        [
          {
            "node": "error-handler-42a7e623-ca11-4d38-94bb-cfb48d021a5c",
            "type": "main",
            "index": 0
          }
        ],
        [
          {
            "node": "error-handler-42a7e623-ca11-4d38-94bb-cfb48d021a5c-9dc8e3bf",
            "type": "main",
            "index": 0
          }
        ],
        [
          {
            "node": "error-handler-42a7e623-ca11-4d38-94bb-cfb48d021a5c-53c0994d",
            "type": "main",
            "index": 0
          }
        ],
        [
          {
            "node": "error-handler-42a7e623-ca11-4d38-94bb-cfb48d021a5c-acb895b3",
            "type": "main",
            "index": 0
          }
        ],
        [
          {
            "node": "error-handler-42a7e623-ca11-4d38-94bb-cfb48d021a5c-55ae5760",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  },
  "description": "Automated workflow: Convert Parquet, Avro, ORC & Feather via ParquetReader to JSON. This workflow integrates 5 different services: webhook, stickyNote, httpRequest, code, stopAndError. It contains 8 nodes and follows best practices for error handling and security.",
  "notes": "Excellent quality workflow: Convert Parquet, Avro, ORC & Feather via ParquetReader to JSON. This workflow has been optimized for production use with comprehensive error handling, security, and documentation."
}