Error
Error Code:
579
SAP S/4HANA Error 579: API Batch Size Limit Exceeded
Description
This error indicates that an API request attempted to process a larger number of items or records in a single batch than the system or API configuration allows. It typically occurs during data integration, mass updates, or when sending multiple transactions simultaneously through an SAP S/4HANA API, preventing the operation from completing.
Error Message
ERR_API_EXCEED_MAX_GROUP_SIZE
Known Causes
4 known causesExcessive Data Volume
An integration or application tried to submit a batch of data containing more items than the API's configured maximum group size.
Mismatched API Configuration
The batch size configured in the calling application or integration middleware exceeds the maximum allowed by the SAP S/4HANA API endpoint.
System Resource Limits
The SAP S/4HANA system has an inherent or administratively defined limit on the number of items that can be processed in a single API batch to ensure stability and performance.
Application Logic Error
The custom application or script making the API call is not correctly splitting large datasets into smaller, compliant batches before submission.
Solutions
3 solutions available1. Reduce the Batch Size in API Calls easy
Adjust the batch size parameter in your API requests to be within the S/4HANA limit.
1
Identify the API call that is triggering the error. This usually involves looking at the logs of the application or service making the API call.
2
Locate the parameter that controls the batch size or the number of records being processed in a single API request. Common parameter names include `batchSize`, `maxRecords`, `limit`, or similar.
3
Reduce the value of this parameter to a smaller number. The exact limit can vary based on the specific API and S/4HANA configuration, but generally, values below 100 are safer. Start with a conservative value and increase incrementally if performance is impacted.
Example (hypothetical API request parameter): `POST /api/v1/salesorders?batchSize=50`
4
Re-run the API call with the reduced batch size and monitor for the error. If the error persists, further reduce the batch size.
2. Implement Pagination for Large Data Sets medium
Modify API consumers to request data in smaller, sequential pages instead of one large batch.
1
Review the API documentation for the S/4HANA service being used. Determine if it supports pagination parameters (e.g., `page`, `pageSize`, `skip`, `top`).
2
Modify the consuming application or script to make multiple API calls, each requesting a specific page of data. For example, first request page 1 with a `pageSize` of 50, then page 2 with `pageSize` of 50, and so on.
Example (hypothetical API request for pagination):
Request 1: `GET /api/v1/products?page=1&pageSize=50`
Request 2: `GET /api/v1/products?page=2&pageSize=50`
Request 3: `GET /api/v1/products?page=3&pageSize=50`
3
The application should continue making paginated requests until the API indicates there are no more results (e.g., an empty response or a specific indicator in the response payload).
4
Combine the results from all paginated requests in the consuming application.
3. Consult S/4HANA System Administrator for Configuration Tuning advanced
Request the S/4HANA administrator to review and potentially adjust system-level API limits.
1
Contact your S/4HANA system administrator or Basis team and provide them with the specific API endpoint and the error message (ERR_API_EXCEED_MAX_GROUP_SIZE).
2
The administrator will investigate system parameters and configurations related to API gateway limits, OData service configurations, or other relevant settings that might define the maximum group size for API operations.
3
They may be able to adjust these limits if deemed appropriate and safe for the system's overall performance and stability. This could involve modifying profile parameters or service-specific settings.
Example (consultation with administrator, not direct action):
Administrator might check parameters like `icm/server_port_0` for HTTP/S settings or specific OData service configurations within S/4HANA.
4
After any system-level adjustments, re-test the API calls to confirm the error is resolved. Be aware that system-wide changes can have broader implications.