Error
Error Code: 2051

SAP S/4HANA Error 2051: Unsupported Column Data Type

📦 SAP S/4HANA
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Description

This error indicates that a data type specified for a column in a table operation is not recognized or supported by the SAP HANA column store. It typically occurs during data modeling, table creation, or data migration when an incompatible data type is used.
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Error Message

ERR_CS_NOT_SUPPORTED_DATA_TYPE
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Known Causes

3 known causes
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Incorrect Data Type Specification
A data type was explicitly defined for a column that is not supported by the SAP HANA column store or the specific database version being used.
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Data Type Mismatch during Migration
During data migration from an external system or data replication, the source system's data type could not be mapped to a compatible and supported SAP HANA data type.
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Using Deprecated or Future Data Types
An attempt was made to use a data type that has been deprecated in the current SAP HANA version or one that is planned for future support but not yet available.
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Solutions

3 solutions available

1. Identify and Correct Unsupported Data Type in Custom Table or View medium

Locate the problematic data type in custom database objects and replace it with a supported one.

1
Identify the table or view causing the error. This often occurs when creating or modifying custom database objects that SAP S/4HANA interacts with. Review the most recent changes or the specific object being processed when the error occurred.
2
Examine the data types of all columns in the identified table or view. SAP S/4HANA, especially when leveraging HANA's capabilities, has specific supported data types. Common unsupported types include certain older SQL types or proprietary vendor-specific extensions not recognized by HANA.
3
Consult SAP's official documentation for supported data types in SAP HANA for SAP S/4HANA. This will provide a definitive list. For example, instead of a generic `VARCHAR(MAX)` from another database, you might need to use `NVARCHAR(255)` or `NVARCHAR(5000)` if the length is critical and supported.
4
Modify the table or view definition to use a supported data type. If you are using SQL DDL, the statement would look similar to this (example: changing an unsupported `BLOB` to a supported `VARBINARY`):
ALTER TABLE "MY_SCHEMA"."MY_TABLE" (ALTER ("MY_COLUMN" VARBINARY(1024)));
5
If the data type cannot be directly mapped, consider alternative approaches. This might involve storing the data in a different format (e.g., converting complex objects to JSON strings if JSON support is available and appropriate) or splitting the data into multiple supported columns.
6
Re-run the operation that triggered the error to confirm it is resolved.

2. Review and Adjust Data Type Mappings in Data Integration Scenarios medium

Ensure that data type conversions are correctly handled when integrating data from external sources into SAP S/4HANA.

1
Identify the data integration process or tool involved (e.g., SAP Data Services, SAP BW/4HANA, custom ETL scripts). The error often surfaces during data loading or transformation.
2
Examine the source data types and the target data types defined in your integration job. Pay close attention to any implicit or explicit data type conversions.
3
Verify that the data types being mapped from the source to the SAP S/4HANA target are compatible and supported by SAP HANA. For instance, if a source system uses a proprietary date/time format, ensure it's being correctly converted to SAP HANA's `TIMESTAMP` or `DATE` types.
4
Update the data transformation logic within your integration tool to use supported data types for the SAP S/4HANA target. This might involve using specific conversion functions provided by your ETL tool or writing custom logic.
5
If using SAP Data Services, check the 'Datatype' properties of the target table columns in your job design and ensure they align with SAP HANA's supported types. You may need to change a column's data type from 'VARCHAR' to 'NVARCHAR' or adjust precision/scale for numeric types.
6
Re-execute the data integration job and monitor for the error.

3. Investigate and Update SAP S/4HANA System Configuration for Data Types advanced

In rare cases, system-level configurations or missing components might lead to data type interpretation issues.

1
Review SAP Notes and SAP Community discussions related to Error Code 2051 and ERR_CS_NOT_SUPPORTED_DATA_TYPE. Sometimes, specific SAP Notes address compatibility issues with certain data types or require system updates.
2
Ensure that your SAP S/4HANA system and the underlying SAP HANA database are at a supported and up-to-date patch level. Older versions might have limitations or bugs related to data type handling.
3
Check for any custom database extensions or plug-ins that might be interfering with data type recognition. If custom extensions are in use, verify their compatibility with your current SAP S/4HANA and SAP HANA versions.
4
If the error occurs during a specific SAP S/4HANA transaction or application, investigate if there are any application-specific configurations or settings that might be influencing data type handling. This might involve consulting with the functional consultant responsible for that module.
5
If you suspect a core SAP HANA issue, consider running SAP HANA health checks and diagnostic tools. For advanced troubleshooting, you might need to open an incident with SAP Support.
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