Error
Error Code:
640
SAP S/4HANA Error 640: SQL Processing Failure
Description
Error 640 (ERR_SQL_2) indicates a general issue during SQL statement execution within SAP S/4HANA. This typically occurs when the system attempts to perform a database operation, such as retrieving, inserting, updating, or deleting data, but encounters an underlying problem that prevents the SQL query from completing successfully.
Error Message
ERR_SQL_2
Known Causes
4 known causesDatabase Connectivity Problems
The SAP S/4HANA system may be unable to establish or maintain a stable connection to the underlying database, leading to failed SQL operations.
Invalid SQL or Data Mismatch
An internal SAP S/4HANA process might generate an SQL statement with incorrect syntax or attempt to process data that violates database constraints or data types.
Database Resource Limits
The database server may be experiencing high load, insufficient memory, or disk space, preventing it from executing the SQL query.
Insufficient Database Permissions
The user or system process attempting the SQL operation lacks the necessary privileges to perform the requested action on the database objects.
Solutions
3 solutions available1. Restart the SAP Application Server Instance easy
A quick restart can often resolve transient SQL processing issues.
1
Log in to the SAP system using SAP GUI or a system administration tool.
2
Navigate to transaction SM51 (Servers).
3
Select the application server instance experiencing the error.
4
From the menu, choose 'Instance' -> 'Restart Server'.
5
Confirm the restart when prompted. Monitor the instance to ensure it comes back online successfully.
2. Analyze and Optimize Problematic SQL Statements medium
Identify and tune SQL statements that are causing performance bottlenecks or errors.
1
Access the SQL Trace functionality within SAP. This can be done via transaction ST05 (SQL Trace) or by enabling SQL tracing at the system level.
2
Reproduce the error while SQL tracing is active. Ensure you are tracing for the user and transaction that triggers the error.
3
Analyze the trace results in ST05. Look for SQL statements with high execution times, large row counts, or repeated executions.
4
If a specific table or query is identified, use database tools (e.g., SAP HANA Studio, hdbsql) to analyze the query plan and identify missing or inefficient indexes.
EXPLAIN PLAN FOR <your_sql_statement>;
SELECT * FROM "SYS"."PLAN_TABLE";5
Consider creating or modifying indexes on the relevant tables to improve query performance. Consult with your database administrator to ensure index creation is appropriate.
CREATE INDEX <index_name> ON <table_name> (<column1>, <column2>);6
If the issue persists, consider rewriting the SQL statement or working with SAP developers to optimize the application code's database interaction.
3. Check Database Resource Utilization and Configuration medium
Ensure the underlying SAP HANA database has sufficient resources and is correctly configured.
1
Log in to your SAP HANA database using SAP HANA Studio or a command-line client (e.g., hdbsql).
2
Monitor key database metrics such as CPU usage, memory consumption (especially heap and resident memory), disk I/O, and network traffic. Look for any sustained high utilization that could indicate a bottleneck.
SELECT * FROM "SYS"."STATISTICS_HOST_ செயலISTS" WHERE HOST = CURRENT_HOST;3
Review the SAP HANA configuration parameters. Pay attention to parameters related to memory allocation, parallel processing, and statement timeouts.
SELECT * FROM "SYS"."PARAMETER" WHERE KEY = 'global.memory.limit';
SELECT * FROM "SYS"."PARAMETER" WHERE KEY = 'indexserver.parallelism.max_threads';
SELECT * FROM "SYS"."PARAMETER" WHERE KEY = 'indexserver.statement_timeout';4
Ensure that the SAP HANA system has adequate disk space available. Running out of disk space can lead to various processing failures.
SELECT * FROM "SYS"."M_DATA_VOLUMES";
SELECT * FROM "SYS"."M_LOG_VOLUMES";5
If resource constraints are identified, consider scaling up your SAP HANA hardware or optimizing existing resource allocation. Consult with your infrastructure and database administrators.