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Description

This error, ERR_TEXT_COMMON_EXCEEDING_OUTPUT_BUFFER_CAPACITY, indicates that an operation attempted to write more data than the allocated buffer could hold, causing an overflow. It typically occurs during data processing, report generation, or integration scenarios when large datasets are being handled by the system.

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Error Message

ERR_TEXT_COMMON_EXCEEDING_OUTPUT_BUFFER_CAPACITY

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Known Causes

4 known causes

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Processing Large Data Volumes

The system attempted to process or display a dataset that exceeded the predefined buffer size limits for the specific operation.

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Insufficient Buffer Configuration

System or application buffer parameters are set too low for current operational demands, leading to premature overflow during data handling.

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Application Logic Errors

Faulty custom code or an issue within standard SAP application logic is attempting to write excessive data to a buffer without proper size checks.

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Integration Data Overflow

Incoming data from an integrated external system is larger than the receiving buffer capacity within SAP S/4HANA, causing the overflow.

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Solutions

3 solutions available

1. Increase Output Buffer Size via SAP Profile Parameters medium

Adjusts the maximum size of the output buffer for database operations.

1

Access the SAP system's profile parameters. This is typically done via transaction RZ10 or by directly editing the instance profile on the application server.

2

Locate or add the parameter `rdisp/PG_SHM` (Program Shared Memory) and `rdisp/PG_MAXFS` (Maximum size of program files in shared memory). Increase their values. The optimal values depend on your system's memory and workload. Start by doubling the current values if they are set low, or set them to a sufficiently large value like 1000000 (KB) for `rdisp/PG_SHM` and 100000000 (KB) for `rdisp/PG_MAXFS` as a starting point. Consult SAP Notes for specific recommendations based on your S/4HANA version and hardware.

Example RZ10 screen entry (conceptual):
Parameter Name: rdisp/PG_SHM
Parameter Value: 1000000

Parameter Name: rdisp/PG_MAXFS
Parameter Value: 100000000

3

Save the profile changes.

4

Restart the SAP application servers for the changes to take effect. This is a critical step and will cause a brief downtime. Schedule this during a maintenance window.

2. Optimize ABAP Programs Generating Large Outputs advanced

Identifies and refactors ABAP programs that produce excessive data for the output buffer.

1

Analyze system logs (SM21, ST22) and performance traces (ST05, SAT) to identify specific ABAP programs or transactions that are frequently associated with error 5177. Look for programs that perform large data selections or generate extensive internal tables.

2

For identified ABAP programs, review the code for inefficient data handling. This might involve:
- Reducing the scope of data selections (e.g., using more specific WHERE clauses).
- Processing data in smaller chunks (e.g., using `PACKAGE SIZE` in `SELECT` statements or processing data in loops).
- Avoiding the creation of overly large internal tables in memory.
- Utilizing database views or more efficient data retrieval methods.

Example of processing in chunks:
DATA: lt_data TYPE STANDARD TABLE OF some_structure,
      ls_data TYPE some_structure.

SELECT * FROM some_table INTO TABLE lt_data PACKAGE SIZE 1000.
  IF sy-subrc = 0.
    LOOP AT lt_data INTO ls_data.
      " Process ls_data
    ENDLOOP.
    CLEAR lt_data.
  ENDIF.
ENDSELECT.

3

Test the optimized ABAP programs thoroughly in a development or quality assurance environment before deploying them to production. Monitor for any performance regressions or new errors.

4

Deploy the corrected ABAP programs to the production system during a planned maintenance window.

3. Review and Tune Database Parameters for Shared Memory advanced

Ensures that the underlying database system's shared memory allocation is sufficient.

1

Identify the database system used by your SAP S/4HANA system (e.g., SAP HANA, Oracle, SQL Server).

2

For SAP HANA, review parameters related to shared memory allocation, such as `shared_memory_size`. Monitor the `M_MEMORY_AREA_ENTRIES` table to understand memory usage. Consult SAP Notes and HANA administration guides for optimal settings based on your system's hardware and workload. This might involve increasing `shared_memory_size` or adjusting other memory-related parameters.

Example SQL for HANA:
-- Check current shared memory settings
SELECT * FROM M_CONFIGURATION WHERE KEY LIKE 'shared_memory%';

-- To change (requires restart):
ALTER SYSTEM ALTER CONFIGURATION ('indexserver.ini', 'SYSTEM') SET ('shared_memory_size') = '4096' WITH RECONFIGURE;

3

For other databases (e.g., Oracle, SQL Server), consult their respective administration guides to identify and tune parameters related to shared memory buffers, such as Oracle's SGA (System Global Area) or SQL Server's Buffer Pool. Ensure these are adequately sized to handle the expected data volume.

4

Apply the database parameter changes and restart the database instance if required. This is a significant operation and should be performed during a scheduled maintenance window.

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Related Errors

5 related errors

SAP S/4HANA Error 5177: Output Buffer Capacity Exceeded