Introduction
Replication Flow is one of the key artifcate to integrate data from SAP and NON-SAP source system to Datasphere or outside world.
In this blog, we’ll s see how to track Replication Flow execution by accessing key metadata tables and diagnostic views within SAP Datasphere.
Step by Step Implementation
1) Create a Database User Group
Begin by creating a global DB user to secure connectivity with underling SAP HANA Database.
Ensure you note down the Host, Port, Username and Password.
2) Setup SAP HANA Connection
Establish a connection in your Datasphere space using:
- Host
- Port
- Username
- Password
This connection enables access to remote tables and metadata views critical for diagnostics.
3) Access Replication Metadata:
Go to Data builder -> Import Remote table -> select SAP HANA connection.
serach for the space_name$TEC schema (space_name is your space name where Replication flow is created), under that schema import the REPLICATIONFLOW_RUN_DETAILS table.
4) Access Task Metadata:
Get all TASK Related Data from DWC_GLOBAL schema and view TASK_LOCKS_V_EXT
- Import remote table
- select SAP HANA connection
- select DWC_GLOBAL schema
- select TASK_LOGS_V_EXT view
5) Merge the data from both tables:
Join/Union both the tables and get all the required fields as per the requirement.
Conclusion
By building a model on top of these two tables, you can view all the metadata related to your Replication Flows. This helps you track key details like execution time, status, and any errors. So if something goes wrong, you’ll be able to quickly identify and understand the issue.
Thanks
Vikas Parmar
#abap