To perform an incremental load from DB2 to Microsoft SQL Server, you can follow these methods:
- Using SQL Server Linked Server: If you have a linked server set up between DB2 and SQL Server, you can use the OPENQUERY function in SQL Server to execute the SELECT statement on the DB2 server and retrieve the data. This method allows you to perform joins with SQL Server tables, which can be useful for combining data from multiple sources1.
- Adding a Checksum Column: If the source is a SQL query from DB2, you can add a new column with a checksum value over the selected columns. This can help in identifying changes between the source and the destination tables, and can be used to perform the incremental load more efficiently2.
- Change Tracking Technology: Utilize the Change Tracking technology in SQL Server or Azure SQL Database. This technology provides a lightweight solution for change tracking, which can be used to identify inserted, updated, or deleted data. By using this approach, you can load only the changed data between two watermarks, which can improve the performance of the incremental load3.
- Using SSIS with ODBC Connection: If you are using SQL Server Integration Services (SSIS) for the data integration, you can use an ADO.NET ODBC connection with a DataReader source instead of an OLEDB source. This can help in improving the performance of the data transfer, although it may still be slower than other methods4.
In conclusion, the best method for you would depend on your specific requirements and the environment you are working in. You should consider factors such as performance, ease of implementation, and the complexity of the data being transferred when choosing a method for performing an incremental load from DB2 to Microsoft SQL Server.