It sounds like you're looking to create an Azure Data Factory pipeline that can move data from your on-premises CCardTrans table to an Azure SQL Database, with specific behavior for first-time and subsequent runs. Here’s a step-by-step approach you can follow:
Create your Azure Data Factory pipeline:
- Use the Azure portal to create a new Data Factory if you don’t have one yet.
- Open Azure Data Factory and create a new pipeline.
- Within your pipeline, add the "Copy Data" activity. - Set up your source to connect to your on-premises SQL server and your `CCardTrans` table. **Specify the sink**: - For the destination, select your Azure SQL Database and specify the new table you created for the data. **Set up the first-time data load**: - You can use a parameter to check if this is the first run. - In the copy activity settings, you might want to add a condition such that it only copies data if the parameter indicates a first-time load (e.g., a certain flag in the database or a specific value in a control table). **Prevent duplicate processing on re-runs**: - Implement a mechanism to track processed records. This can be done using a control table in your Azure SQL Database. - On subsequent runs, the pipeline should check against this tracking table to know which records have already been processed and avoid re-processing them. - You can achieve this by adding a "Lookup" activity before the "Copy Data" activity to ensure only new records from `CCardTrans` are selected for load. **Testing**: - Test the pipeline to ensure it behaves as expected. Initially, ensure it pulls all records, and on subsequent executions, confirm that it only processes new records.
I hope this helps you set up your Data Factory pipeline properly! If you have specific error messages or issues during the setup, feel free to share, and I can help troubleshoot those as well!
Follow-Up Questions:
- What tools or services are you currently using to connect to your on-premises SQL Server?
- Do you have a control table or mechanism in place to track processed records?
- Are you encountering any specific issues or error messages during your pipeline setup?