Effortless PostgreSQL Data Ingestion with n8n
detail.loadingPreview
Automate the ingestion of real-time sensor data into your PostgreSQL database. This workflow triggers every minute, generates mock sensor readings, and seamlessly inserts them into your specified PostgreSQL table.
About This Workflow
Streamline your data pipelines with this efficient n8n workflow designed for PostgreSQL data ingestion. The 'Postgres Data Ingestion' workflow leverages a Cron node to initiate the process every minute. A Function node then dynamically generates simulated sensor data, including a sensor ID, a random humidity value, a precise timestamp, and a notification flag. Finally, the generated data is reliably inserted into a predefined PostgreSQL table, ensuring your database is always up-to-date with fresh information. This solution is ideal for testing, prototyping, or continuous data monitoring scenarios.
Key Features
- Scheduled Data Ingestion: Automatically insert data into PostgreSQL at a frequency of your choice (e.g., every minute).
- Dynamic Data Generation: Create realistic-looking sensor data on the fly for testing and development.
- Seamless PostgreSQL Integration: Connects directly to your PostgreSQL database for straightforward data insertion.
- Configurable Table and Columns: Easily specify the target table and the columns for data storage.
How To Use
- Configure the Cron Node: Set the
triggerTimesparameter to define the ingestion schedule. The provided JSON snippet usesmode: 'everyMinute'. - Customize the Function Node: Modify the
functionCodeto adjust the generated data. You can changesensor_id, the logic for generatingvalue, and howtime_stampis formatted. - Set up the PostgreSQL Node: Provide your PostgreSQL
credentialsby selecting an existing credential or creating a new one. Specify the targettablename and thecolumnsyou want to populate. Ensure the column names in your database match those generated by the Function node.
Apps Used
Workflow JSON
{
"id": "63ab259a-ca3a-4621-9f6e-f518cb1a04f8",
"name": "Effortless PostgreSQL Data Ingestion with n8n",
"nodes": 16,
"category": "Operations",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: 63ab259a-ca3a...
About the Author
DevOps_Master_X
Infrastructure Expert
Specializing in CI/CD pipelines, Docker, and Kubernetes automations.
Statistics
Related Workflows
Discover more workflows you might like
Google Sheets to Icypeas: Automated Bulk Domain Scanning
This workflow streamlines the process of performing bulk domain scans by integrating your Google Sheets data directly with the Icypeas platform. Automate the submission of company names from your spreadsheet to Icypeas for comprehensive domain information, saving valuable time and effort.
Instant WooCommerce Order Notifications via Telegram
When a new order is placed on your WooCommerce store, instantly receive detailed notifications directly to your Telegram chat. Stay on top of your e-commerce operations with real-time alerts, including order specifics and a direct link to view the order.
On-Demand Microsoft SQL Query Execution
This workflow allows you to manually trigger and execute any SQL query against your Microsoft SQL Server database. Perfect for ad-hoc data lookups, administrative tasks, or quick tests, giving you direct control over your database operations.