Automate PostgreSQL Table Management and Data Seeding
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This n8n workflow provides a robust solution for automating PostgreSQL database setup and data management. It allows you to programmatically create database tables and then insert predefined data, making it ideal for streamlined environment provisioning, testing, and operational tasks.
About This Workflow
This powerful n8n workflow streamlines your PostgreSQL database interactions from start to finish. Initiated with a manual trigger, the workflow first connects to your PostgreSQL instance and executes a custom SQL command to create a new table, test, complete with id (as primary key) and name columns. Following the table creation, a Set node prepares sample data, specifically an id and the string "n8n". This prepared data is then automatically inserted into the newly created test table using another PostgreSQL node. This workflow is an excellent foundation for developers and operations teams seeking to automate routine database tasks like setup, schema management, and data seeding, ensuring consistency and efficiency across various environments.
Key Features
- Programmatic Table Creation: Execute custom SQL queries to create or modify PostgreSQL database schemas directly within your workflow.
- Dynamic Data Preparation: Use the
Setnode to easily define and prepare data to be inserted into your database. - Automated Data Insertion: Seamlessly insert structured data into your PostgreSQL tables after creation.
- Manual Trigger for On-Demand Execution: Run the entire database operation chain whenever needed with a simple click.
- Secure Credential Management: Leverage n8n's robust credential system for secure and repeatable database connections.
How To Use
- Configure PostgreSQL Credentials: Ensure you have configured and selected your PostgreSQL credentials (e.g.,
postgres_docker_creds) in n8n. These credentials will enable the workflow to connect to your database instance. - Postgres (Table Creation):
- Double-click the first
Postgresnode namedPostgres. - Verify the
Queryfield containsCREATE TABLE test (id INT, name VARCHAR(255), PRIMARY KEY (id));. You can modify this SQL query to create any table structure relevant to your needs. - Confirm the correct PostgreSQL
Credentialsare selected.
- Double-click the first
- Set (Data Preparation):
- Double-click the
Setnode. - Review the
id(number) andname(string) values. Important: For theidfield, you must either assign a static numerical value (e.g.,1) or modify yourCREATE TABLEquery to defineidasSERIAL PRIMARY KEYfor auto-incrementing IDs. Leavingidas null will likely result in an error due to the primary key constraint. - Adjust the
namevalue as required.
- Double-click the
- Postgres1 (Data Insertion):
- Double-click the second
Postgresnode namedPostgres1. - Ensure
Tableis set totestandColumnsareid, name. The node will automatically take theidandnamevalues from the precedingSetnode for insertion. - Verify that the correct PostgreSQL
Credentialsare selected.
- Double-click the second
- Execute Workflow: Click the "Execute Workflow" button or the "On clicking 'execute'" node to run the workflow and perform the database table creation and data insertion operations.
Apps Used
Workflow JSON
{
"id": "6e5e9f90-bdfc-46ea-ba10-2cedb9504c3d",
"name": "Automate PostgreSQL Table Management and Data Seeding",
"nodes": 11,
"category": "DevOps",
"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: 6e5e9f90-bdfc...
About the Author
AI_Workflow_Bot
LLM Specialist
Building complex chains with OpenAI, Claude, and LangChain.
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