give me the corresponding statement for the below statement which should validate in the sap datasphere CASE WHEN IsNull(MNTH_END_STK_VAL_STK) WHERE (CONCAT (MNTH_END_STK_FSCL_YR, MNTH_END_STK_FSCL_MNTH) = (CURRENT_DATE, 'yyyyMM')) THEN 0 ELSE
It looks like you're trying to create a SQL case statement that checks for null values in the `MNTH_END_STK_VAL_STK` field and also looks at specific conditions based on the `CURRENT_DATE`. The syntax you provided has a few issues that may prevent it from working correctly in SAP DataSphere.
Here's the revised SQL case statement that should work in SAP DataSphere:
```sql
CASE
WHEN
CONCAT(MNTH_END_STK_FSCL_YR, LPAD(MNTH_END_STK_FSCL_MNTH, 2, '0')) = TO_CHAR(CURRENT_DATE, 'yyyyMM')
AND IsNull(MNTH_END_STK_VAL_STK) THEN 0
WHEN
CONCAT(MNTH_END_STK_FSCL_YR, LPAD(MNTH_END_STK_FSCL_MNTH, 2, '0')) = TO_CHAR(CURRENT_DATE, 'yyyyMM')
THEN MNTH_END_STK_VAL_STK
ELSE
NULL
END
```
### Explanation:
1. **Date Comparison**: Use `TO_CHAR(CURRENT_DATE, 'yyyyMM')` to format the current date in the `yyyyMM` format for comparison.
2. **Zero Padding**: Utilizing `LPAD(MNTH_END_STK_FSCL_MNTH, 2, '0')` ensures that the month is always two digits (e.g., '01' for January).
3. **IsNull Check**: The `IsNull` check is combined with the date comparison in the first `WHEN` clause.
4. **Returning `NULL`**: The `ELSE` clause will return `NULL` if none of the conditions are met, which is typically a good practice to handle unexpected cases.
This revised case statement should meet your requirements while conforming to the syntax that would be expected in SAP DataSphere's SQL dialect.
Update (2024-10-13):
The statement you've provided is written in a SQL-like syntax, typically used in database systems for conditional logic. If you're looking to translate this into a corresponding statement that would work in SAP Datasphere (previously known as SAP Data Warehouse Cloud), you need to ensure that the syntax aligns with the capabilities and functions available in that environment.
Here’s a revised version of your CASE statement for SAP Datasphere:
```sql
CASE
WHEN F.COMP_CD_CNTRY = 'OM' THEN
(A.ART_VAL_MOV_AVG_PRICE / 10) *
CASE
WHEN B.ARTI_UOM = 'KG' THEN 1
ELSE B.ARTI_MEASURE_CS
END
ELSE
A.ART_VAL_MOV_AVG_PRICE *
CASE
WHEN B.ARTI_UOM = 'KG' THEN 1
ELSE B.ARTI_MEASURE_CS
END
END
```
### Explanation:
1. The outer `CASE` checks the condition for `F.COMP_CD_CNTRY = 'OM'` to determine how to calculate the average price.
2. The nested `CASE` within performs unit conversion based on `B.ARTI_UOM`.
3. I removed unnecessary multiplication by `*1` since it doesn't change the value.
### Important Notes:
- Make sure that the fields (`F.COMP_CD_CNTRY`, `A.ART_VAL_MOV_AVG_PRICE`, `B.ARTI_UOM`, and `B.ARTI_MEASURE_CS`) are correctly referenced and available in your SAP Datasphere model.
- Testing the statement in your environment is crucial to confirm that it fits the context and data types you are working with.