Error
Error Code:
616
SAP S/4HANA Error 616: API Workload Class Rejection
Description
This error indicates that an API call or request was rejected because it violated the configured workload class limits or policies within SAP S/4HANA. It typically occurs when system resources are constrained, or specific user/application activity exceeds predefined thresholds, preventing the request from being processed.
Error Message
ERR_API_REJECTED_BY_WORKLOAD_CLASS
Known Causes
4 known causesExceeded Resource Limits
The API request attempted to consume resources (e.g., CPU, memory, concurrent sessions) beyond the maximum allowed by its assigned workload class.
Incorrect Workload Class Assignment
The API consumer or application making the request is assigned to a workload class with insufficient resource allocations for its typical operations.
Restrictive Workload Configuration
The parameters for the workload class itself are set too low or are overly restrictive, causing legitimate requests to be rejected prematurely.
High System Load
During periods of peak system activity, the overall demand on SAP S/4HANA exceeds available capacity, leading to workload class rejections.
Solutions
3 solutions available1. Temporary Workload Class Adjustment easy
Temporarily increase the workload class limits for the affected API to allow immediate processing.
1
Identify the API and its associated Workload Class. This information is usually available in the application logs or the error message itself. You might need to consult SAP Notes or documentation for the specific API.
2
Access the SAP Gateway system (if separate) or the S/4HANA system where the API is registered and managed. Navigate to transaction ` /IWFND/MAINT_SERVICE `.
3
Locate the service for the affected API. Select the service and click on 'SAP Gateway Client' or similar button (depending on your S/4HANA version).
4
Within the Gateway Client or the service configuration, find the Workload Class settings. This might be under 'Service Administration' or a similar tab. Look for parameters like 'Max Concurrent Requests', 'Max CPU Usage', or 'Max Memory Usage'.
5
Temporarily increase the limits for the relevant metrics. For example, if the error is due to exceeding concurrent requests, increase the 'Max Concurrent Requests' value. Be cautious not to set values excessively high, as this can impact overall system stability.
6
Save the changes and test the API again. This is a temporary fix; a more permanent solution should be implemented.
2. Analyze and Optimize API Performance advanced
Identify performance bottlenecks within the API and optimize its code or underlying database queries.
1
Review the SAP S/4HANA application logs and the Gateway logs for detailed information about the API calls that are being rejected. Look for patterns in the requests being made.
2
Use SAP's performance analysis tools, such as the Gateway Performance Monitor (transaction ` /IWFND/STATS `) or the ABAP Runtime Analysis (transaction ` SAT `), to identify slow-running parts of the API or its associated ABAP code.
3
Examine the database queries executed by the API. If the API is performing complex or inefficient queries, optimize them. This might involve adding indexes, rewriting queries, or using more efficient data retrieval methods.
SELECT * FROM large_table WHERE inefficient_condition;4
Consider the data volume being processed by the API. If large amounts of data are being fetched or processed, implement pagination or selective data retrieval to reduce the workload.
5
If the API is custom-developed, review the ABAP code for any performance anti-patterns, such as nested loops over large internal tables or inefficient data manipulation.
6
Work with the development team to implement the identified optimizations. This might involve code refactoring, query tuning, or database index adjustments.
3. Review and Adjust Workload Class Configuration medium
Permanently reconfigure the Workload Class to better accommodate the API's typical usage patterns.
1
Understand the business requirements and the expected load for the API. This is crucial for setting appropriate Workload Class limits.
2
Access the SAP Gateway system or S/4HANA system and navigate to transaction ` /IWFND_MAINT_NODE ` or the relevant configuration transaction for workload management.
3
Identify the specific Workload Class assigned to the problematic API. This might be done through the service registration or a dedicated workload management configuration.
4
Carefully review the current limits (e.g., concurrent requests, CPU, memory) for that Workload Class. Compare these limits against the actual observed usage and the business requirements.
5
Adjust the Workload Class parameters to a level that is sustainable for the system but also allows the API to function correctly under normal load. Consider a gradual increase if unsure.
6
Document the changes made and the rationale behind them. Monitor the system closely after the adjustment to ensure no negative impacts on other services.