Merge pull request #39309 from kubikb/master

Clarify data passed to Azure SQL DB sink stored procedures

Author: ktoliver

articles/data-factory/connector-azure-sql-database.md

@@ -488,7 +488,7 @@ BEGIN
 END
 ```
 
-**Option 2:** You also can choose to [invoke a stored procedure within the copy activity](#invoke-a-stored-procedure-from-a-sql-sink). This approach runs each row in the source table instead of using bulk insert as the default approach in the copy activity, which isn't appropriate for large-scale upsert.
+**Option 2:** You also can choose to [invoke a stored procedure within the copy activity](#invoke-a-stored-procedure-from-a-sql-sink). This approach runs each batch (as governed by the `writeBatchSize` property) in the source table instead of using bulk insert as the default approach in the copy activity.
 
 ### Overwrite the entire table
 
@@ -503,10 +503,7 @@ The steps to write data with custom logic are similar to those described in the
 
 ## <a name="invoke-a-stored-procedure-from-a-sql-sink"></a> Invoke a stored procedure from a SQL sink
 
-When you copy data into Azure SQL Database, you also can configure and invoke a user-specified stored procedure with additional parameters. The stored procedure feature takes advantage of [table-valued parameters](https://msdn.microsoft.com/library/bb675163.aspx).
-
-> [!TIP]
-> Invoking a stored procedure processes the data row by row instead of by using a bulk operation, which we don't recommend for large-scale copy. Learn more from [Best practice for loading data into Azure SQL Database](#best-practice-for-loading-data-into-azure-sql-database).
+When you copy data into Azure SQL Database, you also can configure and invoke a user-specified stored procedure with additional parameters on each batch of the source table. The stored procedure feature takes advantage of [table-valued parameters](https://msdn.microsoft.com/library/bb675163.aspx).
 
 You can use a stored procedure when built-in copy mechanisms don't serve the purpose. An example is when you want to apply extra processing before the final insertion of source data into the destination table. Some extra processing examples are when you want to merge columns, look up additional values, and insert into more than one table.