Import Text to PostgreSQL Automatically
Looking to import data from Text to PostgreSQL?
Advanced ETL Processor Enterprise provides everything you need to automate the data import without writing custom scripts. Visually map and transform your fields, then run the Import immediately or schedule it to repeat automatically.
Video: Watch the Data Import in Action
Watch a general data-import walkthrough showing how to connect databases, map fields, and run an import in Advanced ETL Processor.
How to Import Text Files into PostgreSQL
- Launch the Application
Start Advanced ETL Processor Enterprise. - Create Source Directory Connection
Connect to the folder where your text files are stored. - Create PostgreSQL Database Connection
Enter host, port, database name, and credentials. - Create a New Transformation
- Select a transformation group
- Right-click → New
- Configure the Text File Reader
- Apply file mask (e.g.
*.csv,data*.txt) - Choose delimiters, header rows, encoding, and file structure
- Apply file mask (e.g.
- Configure the PostgreSQL Writer
- Select your PostgreSQL connection
- Choose the destination table
- Define action: insert, update, or replace
- Map Fields and Apply Transformations
- Drag and drop fields to match your schema
- Apply optional logic like trimming, formatting, or date parsing
- Run the Job and Review Logs
- Click Execute to begin import
- Check logs to confirm row counts and errors
- Automate the Process
- Schedule tasks to run at specific intervals
- Trigger on file arrival or use conditional execution
Useful links for this import
Start with the Advanced ETL Processor Enterprise overview, then download the fully functional 30-day trial. The import-data hub lists the other Text import workflows.
References
FAQ
Can Advanced ETL Processor import Text to PostgreSQL?
Yes. Advanced ETL Processor can read Text, map fields, validate data, write to PostgreSQL, and log the import.
Do I need to write scripts for the import?
No scripting is required for the normal import workflow. You can configure the reader, writer, mapping, validation, and schedule visually.
Can the Text import run on a schedule?
Yes. The package can run on a schedule, process matching Text files, archive originals, and write rows to PostgreSQL with the same validation rules each time.
Can imported data be transformed before loading?
Yes. You can clean values, convert data types, calculate fields, split columns, and apply lookup rules before writing to the target.
Can bad rows be logged or rejected?
Yes. Add validation rules so rejected rows, failed files, row counts, and error details are visible after each run.
What should I check before the first production import?
Check source layout, target table, key fields, data types, date formats, write mode, archive folder, and failure handling.
When should I not automate the import yet?
Do not automate it until the source layout, target table, key fields, and bad-row handling are clear. Automation repeats rules; it does not invent them.
Can I test the import before buying?
Yes. Download the fully functional 30-day trial, build one small import, and test it with a deliberately awkward sample file.
Automate Your Text-to-PostgreSQL Imports
Download the fully functional 30-day trial and build your first import using your own Text and PostgreSQL databases.
Direct download. No registration required.