Artificial Intelligence
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give me the corresponding statement with CASE statement for the below statement which should validate in sap datasphere IF(IN("COMP_CD",'6300','6400','6600'),("PO_QTY"*"VERPR"*if("MEINS"='CS',"ARTI_MEASURE_CS",1))/10,"PO_QTY"*"VERPR"*if("MEINS"='CS',"AR


In SAP Datasphere, the CASE statement can be used to implement conditional logic similar to an IF statement. The provided IF statement checks if a `COMP_CD` is one of several values and calculates the value based on that condition. The equivalent CASE statement in SAP Datasphere would look something like this: ```sql CASE WHEN "COMP_CD" IN ('6300', '6400', '6600') THEN ("PO_QTY" * "VERPR" * CASE WHEN "MEINS" = 'CS' THEN "ARTI_MEASURE_CS" ELSE 1 END) / 10 ELSE ("PO_QTY" * "VERPR" * CASE WHEN "MEINS" = 'CS' THEN "ARTI_MEASURE_CS" ELSE 1 END) END ``` ### Explanation: 1. **CASE WHEN**: This is used to replicate the logic of the IF statement. 2. **IN clause**: The statement checks whether `COMP_CD` is one of the specified values ('6300', '6400', '6600'). 3. **Nested CASE**: The inner CASE statement checks if `MEINS` is equal to 'CS' and assigns the value of `"ARTI_MEASURE_CS"` or `1` accordingly. 4. **THEN** and **ELSE** parts: The calculations are performed based on the condition. This statement will evaluate similarly to your original IF statement, providing the appropriate calculations based on the company code and measure unit. Update (2024-10-15): In SAP Datasphere, you can use the `CASE` statement to replicate the functionality of the `if` statement you provided. Here’s how you can structure it using a `CASE` statement to validate the condition: ```sql CASE WHEN "MEINS" IN ('CS', 'KG') THEN "PO_QTY" ELSE "PO_QTY" / "ARTI_MEASURE_CS" END ``` ### Explanation: - The `CASE` statement evaluates the condition in the `WHEN` clause. - If the condition `"MEINS" IN ('CS', 'KG')` is true, it returns `"PO_QTY"`. - If the condition is false, it executes the expression `"PO_QTY" / "ARTI_MEASURE_CS"`. This should work correctly in your SQL query within SAP Datasphere. Ensure that the data types of the columns involved are compatible for the operations you are performing.