How to Use SSIS to Update Oracle Table Columns with Null Values after Assigning RUN_ID in SQL Server

Learn how to efficiently manage data transfers between SQL Server and Oracle using SSIS to update specific table columns, even with the constraints of your system.
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Update Oracle Table Column with Null Values using SSIS

Managing data across various databases can be tricky, especially when you are using multiple platforms like SQL Server and Oracle. One common scenario is needing to update an Oracle database after performing operations in SQL Server, particularly for handling the Run_ID and updating statuses of Purchase Orders (POs). In this guide, we will walk you through the process of using SQL Server Integration Services (SSIS) to accomplish this task seamlessly.

The Challenge

Let's set the stage with a quick overview of the problem you're facing:

You have an Oracle table consisting of several columns, and one of them, Run_ID, remains empty when new Purchase Orders are created. After exporting this data into a SQL Server database, a unique Run_ID is assigned to each group of records. Your goal is to:

Update the Oracle database with the newly assigned Run_ID.

Change the PO_Type from NEW_PO to Processed_PO.

This update must be executed all within the same SSIS package.

The Solution

To achieve this, it is essential to ensure that the correct rows are updated in Oracle. Here is a step-by-step breakdown of how to set this up using SSIS:

Step 1: Update Oracle Rows

Before extracting records, you can mark the records you want to update with a status. Using the PO_Type column, you can assign a temporary value like In_Transit_PO.

[[See Video to Reveal this Text or Code Snippet]]

Step 2: Extract Data

Next, set up your SSIS package to extract the data from Oracle where the PO_Type equals In_Transit_PO. This ensures that only the rows you want are pulled into SQL Server.

Step 3: Load Data into SQL Server

Load the extracted data into your SQL Server database. During this process, it is wise to store the Run_ID in a user variable. This variable will be used later for the update back to Oracle.

Step 4: Update SQL Server

Now that you have the Run_ID, use it to update the SQL Server records:

[[See Video to Reveal this Text or Code Snippet]]

The ? maps to your defined package variable.

Step 5: Increment RUN_ID_TRACKER

After updating SQL Server, you should also increment the RUN_ID in the RUN_ID_TRACKER table to prepare for the next data run.

Step 6: Update Oracle Rows Again

Finally, use the stored Run_ID to perform the final update back to Oracle to change the PO_Type and assign the new Run_ID as follows:

[[See Video to Reveal this Text or Code Snippet]]

Conclusion

By organizing the flow of data and updates this way, you ensure that:

Only the necessary rows are subject to change.

New Purchase Orders can still be generated during this process, preserving system integrity.

You maintain a clear view of which records are being processed, aiding in debugging in case of errors.

If you find that you want to optimize further, you could simplify by obtaining the Run_ID value before the loading step, streamlining the subsequent updates.

This approach, even with a few extra steps, provides a robust solution to the problem of managing data across different systems effectively using SSIS.

If you're experiencing issues or have questions about your specific environment, feel free to reach out for additional help!