craete a graphical view in sap datasphere for this below sql script /********* Begin Procedure Script ************/ BEGIN var_out = SELECT SKU.COMP_CD, SKU.COMP_CD_CNTRY, SKU.SLS_ORG_CD, SKU.SLS_ORG_DESC, SKU.SITE_CD, SKU.YEAR, SKU.YR_MNTH_

To create a graphical view in SAP Datasphere for the provided SQL script, you can follow this structured approach: ### Steps to Create a Graphical View in SAP Datasphere 1. **Access SAP Datasphere:** - Log into your SAP Datasphere environment. 2. **Navigate to the Graphical Modeling Area:** - From the home screen, navigate to the "Models" or "Data Models" section. 3. **Create a New Graphical View:** - Click on the "Create" button and select "Graphical View" from the list of model types available. 4. **Define the Core Data Source:** - In the graphical view editor, start by adding your core data source. - Use the tables mentioned in your SQL script, such as: - `"_SYS_BIC"."ALSEER/AN_PO_RECEIPTS_DTL"` - `"_SYS_BIC"."ALSEER/AT_AGENCY"` - `"_SYS_BIC"."ALSEER/CV_ART_MVG_AVG_PRICE"` 5. **Join the Tables:** - Implement the necessary joins as specified in your SQL. The SQL indicates a left outer join between `AN_PO_RECEIPTS_DTL` and `AT_AGENCY` using the conditions: ```sql A.SALES_ORG = B.AGENCY_SALES_ORG_CODE AND A.ARTI_AGNCY_CD = B.AGENCY_CD ``` - Similarly, perform the left outer join with `CV_ART_MVG_AVG_PRICE` using the conditions: ```sql A.SALES_ORG = C.SLS_ORG_CD AND A.ARTI_CD = C.ARTI_CD ``` 6. **Add the Required Fields:** - Drag and drop the fields you want to include in your view from the respective tables. Based on your SQL, these fields include: - `COMP_CD` - `COMP_CD_CNTRY` - `SLS_ORG_CD` - `SLS_ORG_DESC` - `SITE_CD` - `YEAR` - `YR_MNTH_SAP` - `AGENCY_GROUP` - `AGENCY_BY_SALES` - `ARTI_AGNCY_CD` - `ARTI_BRAND_CD` - `ARTI_BRAND_DESC` - `ARTI_CATEGORY_CD` - `ARTI_CATEGORY_DESC` - `ARTI_PRNCP_SEG` - `ARTI_PRNCP_ADDNL_SEG` - Aggregations where needed, such as `SUM(PO_RCPT_NET_VAL)`, etc. 7. **Implement Calculated Fields (if any):** - Use calculated fields for any derived metrics in your SQL script that require conditional logic, such as: - `PO_RCPT_NET_VAL` based on the country condition. - `PO_RCPT_NET_VAL_COST` etc. 8. **Create Grouping and Aggregation:** - In the graphical view, use the "Aggregation" option to group the data based on the fields you want: - Group by `SKU.COMP_CD`, `SKU.COMP_CD_CNTRY`, etc. - Aggregate your metrics (like `SUM`) in the properties/aggregation section. 9. **Set Filters:** - Use the filter settings in the graphical view to apply any conditions from your SQL, such as: - Filtering on `YR_MNTH_SAP` for the current date. - Checking if `ARTI_AGNCY_CD IS NOT NULL`. 10. **Save and Activate the View:** - Once your graphical view is configured to mirror the logic of your SQL script, save your work. - Activate the model to make it available for analysis or reporting. 11. **Test the Graphical View:** - Run the view to ensure it returns the expected results. Compare it to the outcomes of your original SQL script to confirm accuracy. ### General Tips - Take advantage of SAP Datasphere’s capabilities of visualization and data lineage to help with understanding and maintaining your views. - Utilize the documentation and help features within SAP Datasphere for specific drawing tools and options, as each environment may have slight variations in the interface. By following these steps, you will create a graphical model in SAP Datasphere that corresponds to your original SQL logic. Update (2024-10-11): Creating a graphical view in SAP Datasphere based on your SQL script involves the following steps, which you can follow using the SAP Datasphere interface: ### Steps to Create a Graphical View 1. **Log into SAP Datasphere:** - Access the SAP Datasphere application using your credentials. 2. **Navigate to the Data Warehouse:** - Go to the appropriate workspace or data model where you want to create the new graphical view. 3. **Create a New View:** - Click on the "Create" button. - Choose "Graphical View" as the type of object you want to create. 4. **Define Data Sources:** - You will need to include the tables you referenced in your SQL query: - `_SYS_BIC"."ALSEER/AN_PO_RECEIPTS_DTL` - `_SYS_BIC"."ALSEER/AT_AGENCY` - `_SYS_BIC"."ALSEER/CV_ART_MVG_AVG_PRICE` - Drag and drop these tables into the graphical view workspace. 5. **Define Joins:** - Establish the JOIN relationships based on the SQL script conditions: - Join `AN_PO_RECEIPTS_DTL` (alias `A`) with `AT_AGENCY` (alias `B`) on `A.SALES_ORG = B.AGENCY_SALES_ORG_CODE` and `A.ARTI_AGNCY_CD = B.AGENCY_CD`. - Join `AN_PO_RECEIPTS_DTL` (alias `A`) with `CV_ART_MVG_AVG_PRICE` (alias `C`) on `A.SALES_ORG = C.SLS_ORG_CD` and `A.ARTI_CD = C.ARTI_CD`. 6. **Select the Fields:** - In your graphical view, select and include the fields from the tables that correspond to the SELECT clause of your SQL script. This would include not only the direct fields but also include calculated fields such as: - For `PO_RCPT_NET_VAL`: - Create a new calculated field with the formula you defined in the sub-query, taking note of the condition with `COMP_CD_CNTRY`. - Similarly, add other fields based on your SQL. 7. **Group the Results:** - Use the "Grouping" option available in the graphical view to group by the appropriate columns as specified in the `GROUP BY` clause in your SQL. 8. **Add Filters:** - Create a filter to replicate the conditions in the `WHERE` clause of your SQL script: - Set `A.YR_MNTH_SAP = to_char(current_date,'YYYYMM')` - Set `A.ARTI_AGNCY_CD IS NOT NULL` 9. **Save and Activate:** - Once you have visually completed defining your view, save your work. - Activate the graphical view so it can be queried by other downstream applications or models. ### Final Considerations - **Test Your View**: After the graphical view is activated, run some test queries to ensure that the data is returned as expected. - **Documentation**: Document your graphical view's logic and relationships for future reference. **Note:** SAP Datasphere may have updates or changes in UI/UX, so consider consulting the latest documentation if elements seem different.