Error
Error Code:
2856
SAP S/4HANA Error 2856: SQLScript Parameter Table Type Mismatch
Description
Error 2856, ERR_SQLSCRIPT_PARAM_MISMATCH_TABLE_TYPE, indicates that a parameter passed to an SQLScript procedure or function has a table type that does not match the expected definition. This typically occurs during the execution or compilation of database procedures in SAP HANA due to inconsistencies in table structure.
Error Message
ERR_SQLSCRIPT_PARAM_MISMATCH_TABLE_TYPE
Known Causes
3 known causesIncorrect Table Type Definition
The table type defined for a parameter within the SQLScript procedure or function does not precisely match the table type being supplied by the calling statement or application.
Mismatched Column Structure
Even if the general table type name appears correct, there are discrepancies in the column names, data types, order, or nullability between the expected table parameter and the actual table passed.
Inconsistent Object Definitions
Discrepancies exist in the definition of table types or other referenced database objects across different schemas or between development, quality, and production environments.
Solutions
4 solutions available1. Synchronize Table Type Definitions medium
Ensure the table types used in the SQLScript and its calling context are identical.
1
Identify the SQLScript that is throwing the error (e.g., by checking the trace or application logs).
2
Examine the parameters of the SQLScript. Note the data types and structure of any table type parameters.
3
Locate where this SQLScript is being called from. This could be another SQLScript, a stored procedure, a CDS view, or an ABAP program.
4
Compare the table type definition of the parameter in the calling context with the definition within the SQLScript. Look for discrepancies in column names, data types, lengths, or nullability.
5
If a mismatch is found, update the table type definition in either the SQLScript or the calling context to ensure they are identical. Prioritize consistency with the intended data structure.
6
If the table type is defined in ABAP, ensure the corresponding DDIC table type (if applicable) or the structure used matches the SQLScript's expectation.
7
Recompile or activate the affected objects (SQLScript, ABAP programs, CDS views) after making the changes.
2. Verify Data Type Compatibility for Table Parameters medium
Confirm that the underlying data types of columns within table type parameters are compatible.
1
Identify the specific table type used for the parameter in the SQLScript and the calling context.
2
For each column in the table type, carefully compare its data type in both definitions. Pay close attention to potential implicit conversion issues.
3
For example, if one definition uses `VARCHAR(50)` and the other uses `NVARCHAR(50)`, this might not be directly compatible without explicit casting, depending on the context and data being passed.
4
Consider the precision and scale for numeric types (e.g., `DECIMAL(10,2)` vs. `DECIMAL(12,4)`). Ensure the target can accommodate the source's data.
5
If a mismatch in data types is found, adjust one of the definitions to align. This might involve changing a data type, length, or precision. In some cases, explicit casting within the SQLScript might be necessary, but it's generally better to resolve the type mismatch at the definition level.
6
Activate the relevant objects after making the necessary adjustments.
3. Check Nullability Constraints easy
Ensure that nullability settings for columns in table types are consistent.
1
Examine the table type definitions in both the SQLScript and its calling context.
2
For each column, check if it's defined as nullable or not nullable.
3
If a column is defined as NOT NULL in one place and nullable in another, this can lead to the error, especially if data is being inserted or passed. For instance, if the SQLScript expects a non-nullable value but receives NULL from the caller.
4
Adjust the nullability setting in one of the definitions to match the other. If the SQLScript requires a non-nullable value, ensure the caller provides one. Conversely, if nulls are permissible, adjust the SQLScript's definition or add error handling/defaulting logic.
5
Reactivate the affected objects.
4. Review and Correct Table Type Creation Statements advanced
Manually inspect and potentially recreate table types if inconsistencies are suspected.
1
Identify the names of the table types involved in the error.
2
Use SQL Developer, SAP HANA Studio, or the SAP HANA Cockpit to query the system catalog for the definition of these table types.
3
For example, to view the definition of a table type named `MY_TABLE_TYPE`:
sql
SELECT * FROM SYS.TABLE_TYPES WHERE TABLE_TYPE_NAME = 'MY_TABLE_TYPE';
SELECT * FROM SYS.TABLE_TYPE_COLUMNS WHERE TABLE_TYPE_NAME = 'MY_TABLE_TYPE' ORDER BY POSITION;
sql
SELECT * FROM SYS.TABLE_TYPES WHERE TABLE_TYPE_NAME = 'MY_TABLE_TYPE';
SELECT * FROM SYS.TABLE_TYPE_COLUMNS WHERE TABLE_TYPE_NAME = 'MY_TABLE_TYPE' ORDER BY POSITION;
4
Compare these definitions meticulously with how they are defined in your SQLScript and the calling code. This is a more direct way to see the exact structure and data types as stored in the database.
5
If discrepancies are found, consider dropping and recreating the table type with the correct definition. **Caution: Dropping a table type will impact all objects that use it.** Ensure you have a backup or a rollback plan.
6
Example of recreating a table type:
sql
-- Drop the existing table type if it exists
DROP TYPE MY_TABLE_TYPE;
-- Create the table type with the correct definition
CREATE TYPE MY_TABLE_TYPE AS TABLE (
COLUMN1 VARCHAR(50) NOT NULL,
COLUMN2 INTEGER
);
sql
-- Drop the existing table type if it exists
DROP TYPE MY_TABLE_TYPE;
-- Create the table type with the correct definition
CREATE TYPE MY_TABLE_TYPE AS TABLE (
COLUMN1 VARCHAR(50) NOT NULL,
COLUMN2 INTEGER
);
7
After recreating, ensure all calling objects and the SQLScript itself are updated to reference the correctly defined table type.