Error
Error Code:
613
SAP S/4HANA Error 613: API Timeout Execution Aborted
Description
Error 613, 'ERR_API_TIMEOUT', indicates that an API call initiated by SAP S/4HANA or a connected system failed to complete within its predefined time limit. This results in the abortion of the operation, often occurring during integrations, data synchronization, or complex process executions involving external services.
Error Message
ERR_API_TIMEOUT
Known Causes
4 known causesNetwork Latency or Congestion
Slow or unstable network connections between SAP S/4HANA and the external API endpoint can delay responses, causing the timeout.
External System Overload
The external system providing the API may be experiencing high load, performance issues, or temporary unavailability, leading to delayed responses.
Complex API Request or Large Data Volume
API calls that involve processing extensive data sets or executing complex operations may naturally exceed standard timeout durations.
Insufficient Timeout Configuration
The configured timeout value within SAP S/4HANA or the integrated system might be set too low for the expected processing time of the API call.
Solutions
3 solutions available1. Increase API Timeout Parameters in SAP NetWeaver Gateway medium
Adjusting the default timeout settings for OData services in the SAP Gateway can resolve API timeout errors.
1
Access the SAP Gateway system (transaction `SPRO`). Navigate to `SAP Gateway` > `OData Channel` > `Administration` > `General Settings` > `Activate or Deactivate SAP Gateway`. Ensure the SAP Gateway is active.
2
In the same SPRO path, navigate to `SAP Gateway` > `OData Channel` > `Administration` > `General Settings` > `Timeout for OData Calls`. Here, you can adjust the `Maximum response time (in seconds)` for OData services. Increase this value, for example, from 120 seconds to 300 seconds or higher, depending on the expected processing time of the API call.
3
Save the changes. It's recommended to restart the Gateway service or the entire application server for the changes to take full effect.
2. Optimize the Underlying ABAP Code/Queries for the API advanced
Long-running ABAP programs or inefficient database queries can cause the API to exceed its execution time limit.
1
Identify the specific API or OData service that is timing out. This can often be found in the application logs or by tracing the request. Use transaction `ST05` (Performance Trace) or `ST12` (Single Transaction Analysis) to trace the execution of the ABAP code responsible for the API call.
2
Analyze the trace results to pinpoint performance bottlenecks. Look for:
- Inefficient SELECT statements (e.g., missing WHERE clauses, full table scans).
- Excessive loops or complex logic.
- Unnecessary data retrieval.
- Calls to other slow-performing RFCs or services.
- Inefficient SELECT statements (e.g., missing WHERE clauses, full table scans).
- Excessive loops or complex logic.
- Unnecessary data retrieval.
- Calls to other slow-performing RFCs or services.
3
Optimize the ABAP code. This might involve:
- Adding appropriate WHERE clauses to SELECT statements.
- Using database indexes effectively.
- Refactoring complex logic into more efficient subroutines or function modules.
- Fetching only the necessary data.
- Asynchronous processing for long-running tasks if applicable.
- Adding appropriate WHERE clauses to SELECT statements.
- Using database indexes effectively.
- Refactoring complex logic into more efficient subroutines or function modules.
- Fetching only the necessary data.
- Asynchronous processing for long-running tasks if applicable.
ABAP code optimization examples:
-- Before (Inefficient)
SELECT * FROM MARA.
ENDSELECT.
-- After (Efficient, assuming specific selection)
SELECT matnr meins INTO TABLE lt_mara FROM MARA WHERE matnr = @lv_material_number.4
If the API calls a database procedure or complex SQL, optimize the SQL query itself. This might involve analyzing the execution plan of the SQL statement.
Example SQL query optimization (if applicable within ABAP or called directly):
-- Analyze execution plan (SQL Developer/HANA Studio)
EXPLAIN PLAN FOR SELECT ... FROM ... WHERE ...;
-- Based on plan, consider adding/modifying indexes or rewriting the query.5
Test the optimized code thoroughly to ensure it resolves the timeout issue without introducing regressions.
3. Review and Tune SAP HANA Database Performance advanced
Slow database performance can directly impact API response times, leading to timeouts. This involves checking HANA configurations and resource utilization.
1
Monitor SAP HANA database performance using tools like SAP HANA Cockpit or `hdbsql` command-line interface. Key metrics to check include CPU utilization, memory usage, disk I/O, and network traffic.
Example using hdbsql to check active statements:
hdbsql -u <user> -p <password> -n <host>:<port> "SELECT TOP 100 * FROM M_ACTIVE_STATEMENTS ORDER BY ELAPSED_TIME DESC;"2
Identify long-running or resource-intensive SQL queries originating from the API or its underlying processes. Analyze these queries for optimization opportunities (similar to step 2 in the ABAP optimization solution).
3
Check for missing or inefficient database indexes. Ensure that indexes are created for frequently queried columns, especially those used in WHERE clauses.
Example of creating an index in SAP HANA:
CREATE INDEX "MY_SCHEMA"."MY_TABLE_INDEX" ON "MY_SCHEMA"."MY_TABLE" ("COLUMN1", "COLUMN2");4
Review HANA configuration parameters. For example, parameters related to query execution, memory management, and parallel processing might need tuning. Consult SAP Notes and best practices for specific recommendations.
5
Ensure sufficient system resources (CPU, RAM, Disk) are allocated to the SAP HANA database. If the system is consistently under heavy load, consider scaling up or out.