create a graphical view in sap datasphere for the below sql script /********* Begin Procedure Script ************/ BEGIN var_out = SELECT F.COMP_CD , F.COMP_CD_DESC , F.COMP_CD_CNTRY , F.COMP_CD_CURRCY , E.SLS_ORG_CD , E.SLS_ORG_DESC
Creating a graphical view in SAP DataSphere (formerly known as SAP Data Warehouse Cloud) based on the provided SQL script involves several steps. Since SQL cannot be directly visualized graphically, you would need to convert the SQL logic into a model. Below are the steps to create a graphical view in SAP DataSphere to represent your SQL script:
### Steps to Create a Graphical View in SAP DataSphere
1. **Log into SAP DataSphere:**
Open your SAP DataSphere environment and log in with your credentials.
2. **Navigate to the Modeling Area:**
In the DataSphere interface, go to the "Modeling" area where you can create new views and models.
3. **Create a New Graphical View:**
- Click on the option to create a new view.
- Select "Graphical View" from the available types.
4. **Define the Sources:**
Drag-and-drop the relevant tables utilized in your SQL script from the catalog pane:
- `AT_ARTICLE_VALUATION` (A)
- `AT_ARTICLE` (B)
- `AT_SITE` (C)
- `AT_SITE_SALES_ORG` (D)
- `AT_SALESORG` (E)
- `AT_COMP_DIVISION` (F)
- `AN_PO_RECEIPTS` (G)
- `AT_AGENCY` (H)
- `AT_ARTICLE_VENDOR_CODE` (I)
5. **Define Joins:**
Create the necessary joins based on the conditions referred to in your SQL script:
- **INNER JOIN** between `AT_ARTICLE_VALUATION` and `AT_ARTICLE` on `A.ARTVAL_ARTI_CD = B.ARTI_CD`
- **INNER JOIN** between `AT_ARTICLE_VALUATION` and `AT_SITE` on `A.ARTVAL_SITE_CD = C.SITE_CD`
- **INNER JOIN** between `AT_SITE` and `AT_SITE_SALES_ORG` on `C.SITE_CD = D.SALES_ORG_SITE`
- **INNER JOIN** between `AT_SITE_SALES_ORG` and `AT_SALESORG` on `D.SALES_ORG = E.SLS_ORG_CD`
- **INNER JOIN** between `AT_SALESORG` and `AT_COMP_DIVISION` on `E.SLS_COMP_CD = F.COMP_CD`
- Join with the subquery for `AN_PO_RECEIPTS` and necessary outer joins with `AT_AGENCY` and `AT_ARTICLE_VENDOR_CODE`.
6. **Select and Calculate Fields:**
In the graphical editor, select the fields from each of the tables you wish to include in your result set by dragging them into the output pane. Add calculated fields based on your conditions, for instance:
- For `EA_PRICE`, use a condition statement:
```sql
CASE
WHEN F.COMP_CD_CNTRY = 'OM' THEN (A.ART_VAL_MOV_AVG_PRICE / 10)
ELSE A.ART_VAL_MOV_AVG_PRICE
END AS EA_PRICE
```
- For `CS_PRICE`, similarly create a calculated field based on conditions regarding `COMP_CD_CNTRY`.
7. **Group and Aggregate (If Required):**
Depending on your SQL logic, you may need to incorporate aggregate functions or distinct selections.
8. **Set Filters:**
If your SQL script has conditions (such as RANK or price checks), set them as filters in the graphical view.
9. **Save and Validate Your View:**
After you've set up your graphical view with all required joins, calculated fields, and filters, save the view. Use the validation tool (if available) to check for any errors.
10. **Test the View:**
Execute the view to ensure it returns the expected data structure and results.
11. **Publish the View:**
Once you're satisfied with the data retrieval and structure, you can publish the view for use in dashboards, data models, or other connected analytics directly within SAP DataSphere.
### Note:
- Ensure all names and referenced field types match those in your underlying data tables, and take care during join definitions to maintain data integrity.
- Review the logic for any complex window functions or advanced queries that may not easily convert to a graphical format, as they may entail additional modeling steps in the DataSphere environment.
This should provide you with a comprehensive way to visualize and implement your SQL logic into a graphical representation within SAP DataSphere.