Export PostgreSQL to QVD Automatically
Need to move data from PostgreSQL into QVD format for use in QlikView or Qlik Sense? With Advanced ETL Processor, you can export PostgreSQL tables and queries into QVD files automatically - without writing scripts or installing Qlik software.
What Is a QVD File?
A QVD (QlikView Data) file is a proprietary, high-speed binary format used by QlikView and Qlik Sense to store data for fast loading and reuse. QVDs support compression, incremental loading, and are the backbone of Qlik’s data layer.
Why Export PostgreSQL to QVD?
- Feed Qlik dashboards with fresh PostgreSQL data
- Accelerate Qlik reload times using native QVD format
- Enable automated ETL pipelines into Qlik environments
Why PostgreSQL?
PostgreSQL is an enterprise-grade open-source database trusted for its reliability, extensibility, and standards compliance. It supports complex data types, indexing, full-text search, and analytics - making it a popular backend for Qlik BI solutions.
How to Export PostgreSQL to QVD - Step-by-Step
1. Launch Advanced ETL Processor
- Create a PostgreSQL Connection with your database details
- Create a Directory Connection for saving the QVD file
2. Create a New Transformation
Right-click your transformation group and select New to open the transformation canvas.
3. Configure Reader
- Double-click to open Reader Properties
- Select the PostgreSQL connection
- Choose a table or write a custom SQL query
4. Configure Writer
- Double-click to open Writer Properties
- Set output type to QVD
- Define output path, filename, and QVD structure
5. Map and Format Data
- Map PostgreSQL fields to QVD columns
- Apply transformations, renaming, or filters as needed
6. Run the Transformation
Click the Run button (Green Arrow) to generate the QVD file. It will be saved and ready for use in QlikView or Qlik Sense.
Schedule and Automate
- Run the export job on a set schedule (hourly, daily, weekly)
- Trigger based on database events or file presence
- Enable logging, alerting, and rollback options
Where this export fits
Export PostgreSQL to QVD is useful when PostgreSQL data has to feed reports, dashboards, partner systems, audits, archives, or downstream ETL jobs. Use it when the same source query needs controlled QVD output, validation, scheduling, and logs instead of another manual file export.
Do not automate the export until the source query, output layout, file naming, overwrite rules, and failure behaviour are agreed. Automation repeats rules; it does not rescue unclear ones.
Useful links for this export
Start with the Advanced ETL Processor Enterprise overview, then download the fully functional 30-day trial. The export-data hub lists the other supported export workflows.
Video Tutorial
FAQ
Can Advanced ETL Processor export PostgreSQL to QVD?
Yes. Advanced ETL Processor can read PostgreSQL, apply transformations, write QVD, schedule the export, and log the result.
Do I need to write scripts for the export?
No scripting is required for the normal export workflow. You can configure the source, output format, validation, and schedule visually.
Can the QVD export run on a schedule?
Yes. The export package can run on a schedule, write the QVD output, archive files, and keep the same validation rules each time.
Can row counts and failures be logged?
Yes. Add logging so row counts, rejected records, run status, and error details can be reviewed after each export.
What should I check before the first production export?
Check the source query, output columns, data types, date formats, file naming, overwrite rules, archive folder, and failure handling.
Can I export only selected PostgreSQL records?
Yes. Use a query or filter so the export reads only the PostgreSQL records needed for the file, report, dashboard, archive, or partner feed.
When should I not automate the export yet?
Do not automate it until the source query, output layout, file naming, and failure handling are clear. Automation repeats rules; it does not invent them.
Can I test the export before buying?
Yes. Download the fully functional 30-day trial, build one small export, and test it with a safe sample first.
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