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Steps to Pass Data as Parameters to a Stored Procedure
Prepare Your Data in Dataflow:
- Use transformations like
Derived Column
to create a dynamic column that holds the value to be passed as an input parameter. This column should pick the value based on thecra5a_columnname
field. Example derived column expression, Let's call this new columnInputParameter
.case(cra5a_columnname == 'CRM_Test_ORG', CRM_Test_ORG, cra5a_columnname == 'X_TERR_SALES_CHANNEL', X_TERR_SALES_CHANNEL, 'Default_Value')
Sink Data to Temporary Storage (Optional):
- If your dataflow generates multiple rows and the stored procedure can only handle one row at a time, you can sink this data into a staging area like a SQL table or blob storage. Otherwise, directly pass the row data to the pipeline.
Add a Pipeline to Call the Stored Procedure:
- After the dataflow runs, add a ForEach Activity in the pipeline to iterate over each row.
- Inside the
ForEach Activity
, use a Stored Procedure Activity to pass theInputParameter
and other required fields to the stored procedure.
Set Up Parameters in the Stored Procedure Activity:
- Inside the Stored Procedure Activity, set the parameters dynamically using the output from the dataflow or the staged data.
- For example:
{ "StoredProcedureParameter": "@input_parameter", "Value": "@activity('YourDataFlowActivityName').output.someColumn" }
Dynamic Mapping: Ensure your mapping dynamically matches the cra5a_columnname
with the respective values to be passed.
Batch vs Row-by-Row Execution: If the stored procedure supports batch processing, you can pass all rows at once using a table-valued parameter. Otherwise, loop through rows using the ForEach
activity.
Error Handling: Add appropriate error handling in case the stored procedure execution fails for certain rows.
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