How to UPSERT ODBC dataset from .csv file?

Hi AE90

It sounds like you're looking to perform an UPSERT operation on a DB2 table using records from a .csv file through an ODBC dataset in Azure Data Factory. Since the DB2 dataset isn't available directly in your data flow, let me guide you through the possible approach to achieve this UPSERT functionality.

Here’s a step-by-step process you can follow:

Prepare Your Data Flow: First, ensure that your data from the .csv file is properly cleaned and processed in your Azure Data Factory pipeline.

Load Data into a Staging Table: Set up a temporary or staging table in DB2 if you don't have an existing one. This table will hold the incoming records from your .csv file.

Configure Your ODBC Destination:

• Using the ODBC destination, set up a data flow in Azure Data Factory where you can connect to this temporary table.
  • Map the columns in your .csv to the temporary table’s columns.
  Perform UPSERT Logic:

  - After loading the data into the staging table, you’ll need to write an SQL command to perform the UPSERT operation on the actual destination table in DB2.
  
     - This usually involves using a MERGE statement that checks for existing records and either updates or inserts the records accordingly.
  
     Clean Up: After the UPSERT operation, you can truncate or drop the staging table if it's no longer needed.
  

Important Considerations:

• Make sure your DB2 database allows operations from your Azure environment through the ODBC connection.
• Ensure proper error handling is in place to manage any failures during the load or UPSERT process.

Documentation Links for Reference:

• Load Data by Using the ODBC Destination
• Copy data from and to ODBC data stores using Azure Data Factory or Synapse Analytics
• Best practice for loading data into Azure SQL Database

Let me know if you need further details on any of these steps or if you have other questions.