Error
Error Code:
2845
SAP S/4HANA Error 2845: SQLScript Parameter Type Mismatch
Description
Error 2845, `ERR_SQLSCRIPT_PARAM_WRONG_TYPE`, indicates that a parameter passed to an SQLScript procedure, function, or view has a data type that does not match the expected type defined in the script. This typically occurs during the execution or compilation of SQLScript code within SAP HANA when incompatible input values are provided.
Error Message
ERR_SQLSCRIPT_PARAM_WRONG_TYPE
Known Causes
3 known causesIncorrect Procedure Call Parameter Type
A procedure or function was invoked with an argument whose data type does not align with the data type declared for the corresponding parameter in the SQLScript definition.
Mismatched Variable Assignment in SQLScript
Within the SQLScript code, an attempt was made to assign a value of an incompatible data type to a variable or a column, violating type constraints.
Failed Implicit Data Type Conversion
The SAP HANA database was unable to implicitly convert a parameter's data type to the expected type, leading to an explicit type mismatch error during execution.
Solutions
4 solutions available1. Verify SQLScript Parameter Data Types easy
Ensure the data types of parameters passed to an SQLScript match the declared types within the script.
1
Identify the SQLScript that is causing the error. This can often be found in the application logs or trace files associated with the S/4HANA system.
2
Examine the `CREATE PROCEDURE` or `CREATE FUNCTION` statement for the SQLScript. Pay close attention to the data types declared for each input and output parameter.
Example: CREATE PROCEDURE MY_PROC (IN param1 INT, IN param2 VARCHAR(100)) ...3
Trace the calling application or process to see what data types are being passed for each parameter. This might involve debugging the calling ABAP code or analyzing OData service requests.
4
Compare the data types. If there's a mismatch (e.g., passing a string where an integer is expected, or a date in an incorrect format), adjust the calling application to pass data in the correct type.
Example: If the procedure expects an INT and the application is passing a string representation of a number, convert the string to an integer before calling.2. Handle Implicit Type Conversions Carefully medium
Address potential issues arising from implicit data type conversions in SQLScript or the calling application.
1
Review the SQLScript for any implicit type conversions. While HANA often handles these, they can sometimes lead to unexpected behavior or errors like 2845, especially with complex types or differing precision/scale.
Example: Avoid relying on implicit conversion of numeric types to strings if formatting is critical.2
If the calling application is passing data that might be ambiguous (e.g., a date string that could be interpreted in multiple formats), explicitly cast or convert the data to the expected type before passing it to the SQLScript.
Example (ABAP): DATA lv_date_string TYPE string VALUE '2023-10-27'. DATA lv_date TYPE d. lv_date = cl_abap_datamanager=>string_to_date( lv_date_string ). CALL 'MY_PROC' PARAMETER TABLE (lv_date, ...)3
For numeric types, ensure that the precision and scale of the passed value are compatible with the declared type in the SQLScript. If not, perform explicit casting in the calling application.
3. Recreate or Recompile SQLScript Objects easy
Resolve potential inconsistencies by recompiling the affected SQLScript or its dependent objects.
1
Connect to the SAP HANA database using a tool like SAP HANA Studio or the SAP HANA Database Explorer.
2
Locate the specific SQLScript (procedure or function) that is reporting the error. You can usually find these under the 'Procedures' or 'Functions' nodes in your schema.
3
Right-click on the SQLScript object and select 'Recompile' or 'Edit' and then save the changes. This forces the HANA database to re-evaluate the script and its parameter definitions.
4
If the error persists, consider recompiling all objects that depend on this SQLScript, or even the entire schema if the issue is widespread. This can help resolve any underlying metadata inconsistencies.
4. Analyze SQLScript Parameter Metadata advanced
Thoroughly inspect the metadata of SQLScript parameters to identify subtle type mismatches.
1
Use the `SYS.PROCEDURES` and `SYS.FUNCTIONS` system views to query the metadata of your SQLScript objects.
SELECT SCHEMA_NAME, PROCEDURE_NAME, PARAMETER_NAME, PARAMETER_TYPE, DATA_TYPE FROM SYS.PROCEDURES WHERE PROCEDURE_NAME = 'MY_PROC';2
Compare the `DATA_TYPE` column from the system view with the actual data types being passed by the calling application. Pay attention to nuances like `NVARCHAR` vs. `VARCHAR`, `DECIMAL` precision/scale, and date/time types.
3
If you are using table types as parameters, ensure that the structure of the table type used in the calling application perfectly matches the table type definition in the SQLScript.
4
Investigate the `PARAMETER_TYPE` column. Ensure that input parameters are correctly marked as `IN` and output parameters as `OUT` or `INOUT` as intended.