Send RabbitMQ Message for Each Text Row
Need to integrate text-based data into a message queue workflow? With Advanced ETL Processor, you can read each row from a structured text file (like CSV, tab-delimited, or fixed-width) and automatically publish a RabbitMQ message for that row - no programming required.
What Is RabbitMQ?
RabbitMQ is a widely used open-source message broker that enables systems to communicate asynchronously. It supports a variety of messaging protocols and is ideal for distributed systems, event-driven architectures, and task queues.
Why Use Advanced ETL Processor?
- Visual message setup - create and send messages without maintaining a queue script
- Supports CSV, fixed-width, and other flat file formats
- Custom message content per row
- Supports AMQP and HTTP API integration with RabbitMQ
- Built-in scheduling, logging, and error handling
How to Send RabbitMQ Messages Per Row
- Launch Advanced ETL Processor
- Connect to the Source Folder
Create a directory connection pointing to your CSV or TXT files. - Create a New Transformation
Right-click on a group and choose New. - Configure the Text File Reader
- Set the file mask (
*.csv,*.txt, etc.) - Specify delimiter, encoding, and column structure
- Set the file mask (
- Configure RabbitMQ Publisher
- Set server address, virtual host, queue or exchange name
- Use placeholders to insert row data into message body
- Optional: set headers, routing key, or message properties
- Map Fields
- Map text file fields to the message body or headers
- Apply transformations if needed (e.g., date formatting, escaping)
- Execute and Review
- Click Execute to send RabbitMQ messages
- Check logs for message delivery and row counts
- Automate the Workflow
- Schedule sending based on time or file arrival
- Chain it with other ETL tasks or notifications
Safety checks before sending
- Validate the destination field before any row leaves the workflow.
- Run the package against a test destination before using production recipients, queues, or interfaces.
- Keep row-level logs so failed sends can be retried without guessing what already happened.
Useful links for send automation
Business usage examples
Populating queues from exported report data
Use each validated source row to send this message automatically and keep a row-level delivery log.
Triggering workflows or microservices via RabbitMQ
Use each validated source row to send this message automatically and keep a row-level delivery log.
Sending order, alert, or status messages from flat files
Use each validated source row to send this message automatically and keep a row-level delivery log.
Watch It in Action
FAQ
Can Advanced ETL Processor send RabbitMQ message for each row in a text file?
Yes. Advanced ETL Processor can read the text file, map each row, send RabbitMQ messages, and log the result in a self-hosted workflow.
Can messages be personalised per row?
Yes. Source columns can be mapped into recipients, subjects, message bodies, phone numbers, queue payloads, HL7 fields, labels, identifiers, and attachment rules.
Can failed sends be logged?
Yes. The workflow can record row number, recipient or destination, payload details, send status, timestamp, retry count, and the exact error returned by the provider or queue.
Can failed rows be retried?
Yes. You can configure retry logic and keep failed rows visible for review instead of burying failures in a mailbox, queue, or desktop script.
Can send workflows run on a schedule?
Yes. A package can run on a schedule, after file arrival, or as part of a larger ETL workflow that prepares the source rows first.
What should I test before enabling a send workflow?
Test a small source file with valid rows, missing recipients, invalid numbers or destinations, duplicate rows, and one deliberate failure. Schedule the workflow only when the logs are clear.
When should row-based sending not be automated yet?
Do not automate it until the input columns, message rules, destination rules, consent or compliance requirements, retry behaviour, and failure handling are clear.
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