Error
Error Code:
1306
SAP S/4HANA Error 1306: SQLScript Return Type Mismatch
Description
This error indicates that the data type or structure expected as a return value from an SQLScript procedure, function, or view does not match the actual data being returned. It commonly occurs during development or execution of custom SQLScript logic within SAP HANA.
Error Message
ERR_SQLSCRIPT_RETURN_TYPE_MISMATCH
Known Causes
4 known causesIncorrect Return Type Declaration
The data type or structure defined in the 'RETURNS' clause of an SQLScript object (e.g., 'RETURNS TABLE' or scalar 'RETURNS' type) does not align with the actual data produced.
Column Mismatch in SELECT Statement
The number, names, or data types of columns in the 'SELECT' statement within the SQLScript do not match the declared return table type.
Implicit Type Conversion Failure
An attempt to implicitly convert data between incompatible types during the return operation failed, leading to a mismatch.
Dynamic SQL Return Type Conflict
When using dynamic SQL, the structure or types of the returned result set might not consistently match the predefined return type of the containing procedure or function.
Solutions
3 solutions available1. Align Stored Procedure Return Type with Caller Expectation medium
Ensure the data type of the return parameter in the stored procedure matches what the calling program or function expects.
1
Identify the stored procedure causing the error. This is usually evident from the error message or by tracing the execution flow.
2
Examine the `RETURNS` clause of the stored procedure definition. Note the data type of the return parameter.
CREATE PROCEDURE MY_PROCEDURE (...) RETURNS <Expected_Type> ...3
Examine the calling program or function (e.g., ABAP report, CDS view, another stored procedure). Identify how the return value of the stored procedure is being handled and what data type is expected.
DATA lv_result TYPE <Caller_Expected_Type>.4
If there's a mismatch, modify either the stored procedure's `RETURNS` clause or the caller's variable declaration to match. Prioritize aligning the stored procedure to a more general type if possible, or explicitly cast within the caller.
-- Option 1: Modify stored procedure (if safe and correct)
CREATE PROCEDURE MY_PROCEDURE (...) RETURNS <Caller_Expected_Type> ...
-- Option 2: Modify caller (often preferred)
DATA lv_result TYPE <Stored_Procedure_Return_Type>.
CALL MY_PROCEDURE(...) INTO lv_result.
DATA: lv_casted_result <Caller_Expected_Type>.
lv_casted_result = CAST(lv_result AS <Caller_Expected_Type>).5
Re-activate the modified stored procedure and the calling program/function. Test the functionality again.
2. Review and Correct Data Type Conversions within the Stored Procedure medium
Check for implicit or explicit data type conversions within the stored procedure that might be causing the return value to have an unexpected type.
1
Locate the stored procedure that is failing. Pay close attention to any assignments or calculations that contribute to the value being returned.
2
Analyze SQL statements within the procedure. Look for operations like string concatenation, arithmetic operations on different numeric types, or assignments to variables of potentially incompatible types.
DECLARE v_string_result VARCHAR(100);
DECLARE v_numeric_val INTEGER;
v_string_result = 'Value: ' || v_numeric_val; -- Potential type issue if v_numeric_val isn't implicitly convertible to string
DECLARE v_decimal_res DECIMAL(10,2);
DECLARE v_int_val INTEGER;
v_decimal_res = v_int_val; -- Implicit conversion, usually safe, but be aware3
Use explicit type casting (`CAST` or `CONVERT`) to ensure data is converted correctly before being assigned or returned. This makes the intention clear and prevents unexpected behavior.
DECLARE v_string_result VARCHAR(100);
DECLARE v_numeric_val INTEGER;
v_string_result = 'Value: ' || CAST(v_numeric_val AS VARCHAR(20)); -- Explicit cast
DECLARE v_decimal_res DECIMAL(10,2);
DECLARE v_int_val INTEGER;
v_decimal_res = CAST(v_int_val AS DECIMAL(10,2));4
If the stored procedure is returning a table or a structure, ensure all fields within that structure have consistent and correctly defined data types.
CREATE TYPE MY_RETURN_TABLE AS TABLE (
col1 INTEGER,
col2 VARCHAR(50) -- Ensure col2's type is as expected
);
CREATE PROCEDURE MY_PROCEDURE (...) RETURNS MY_RETURN_TABLE ...5
Re-activate the stored procedure and test.
3. Verify Data Dictionary Definitions for Involved Objects advanced
Ensure that the data types defined in the SAP S/4HANA data dictionary for tables, structures, and data elements used in the stored procedure and its caller are correct and consistent.
1
Identify all database objects (tables, views, structures, data elements) referenced within the failing stored procedure and the calling program.
2
Use SAP GUI transactions like `SE11` (ABAP Dictionary) to inspect the data types of these objects. Pay attention to the length, decimal places, and underlying data element definitions.
Transaction: SE11
Object Type: Table/Structure/Data Element
Object Name: <Object Name>3
Compare the data types defined in `SE11` with how they are used within the stored procedure. Mismatches can occur if, for example, a stored procedure expects a `VARCHAR(50)` but the underlying data element is `VARCHAR(30)`. While SQL might allow some flexibility, it can lead to runtime errors.
4
If inconsistencies are found, correct the data types in the data dictionary or adjust the stored procedure/calling program to accommodate the actual dictionary definition. Correcting the dictionary is generally preferred for long-term data integrity.
5
After making any dictionary changes, ensure that related development objects (like the stored procedure and calling program) are regenerated or re-activated to pick up the updated definitions.