How To Fix SMMSS_ALERTS073 - &1% of cpu time caused by one statement

SAP Error Message - Details

• Message type: E = Error

• Message class: SMMSS_ALERTS - Message class for MSSQL rz20 messages

• Message number: 073

• Message text: &1% of cpu time caused by one statement

Self-Explanatory Message

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Smart SAP Assistant

• What is the cause and solution for SAP error message SMMSS_ALERTS073 - &1% of cpu time caused by one statement ?

  The SAP error message SMMSS_ALERTS073 indicates that a specific SQL statement is consuming a significant amount of CPU time, which can lead to performance issues in the system. The message typically includes a percentage value indicating how much CPU time is being consumed by that statement.
  Cause:
  The primary causes of this error can include:
  
  Inefficient SQL Queries: The SQL statement may not be optimized, leading to excessive CPU usage.
  Large Data Volumes: The query may be processing a large amount of data, which can increase CPU consumption.
  Lack of Indexes: Missing or poorly designed indexes can cause full table scans, which are CPU-intensive.
  Database Configuration: Suboptimal database configuration settings can lead to inefficient query execution.
  High Concurrency: Multiple users executing the same or similar queries simultaneously can lead to increased CPU usage.
  
  Solution:
  To address the issue indicated by the SMMSS_ALERTS073 message, consider the following steps:
  
  
  Analyze the SQL Statement:
  
  Use transaction codes like ST05 (SQL Trace) or SE11 (Data Dictionary) to analyze the execution plan of the SQL statement.
  Identify any inefficiencies in the query.
  
  
  
  Optimize the Query:
  
  Rewrite the SQL statement to make it more efficient.
  Avoid using SELECT *; instead, specify only the required columns.
  Use WHERE clauses to filter data as much as possible.
  
  
  
  Add or Improve Indexes:
  
  Check if the relevant tables have appropriate indexes.
  Create new indexes or modify existing ones to improve query performance.
  
  
  
  Database Tuning:
  
  Review and adjust database configuration parameters to optimize performance.
  Consider increasing resources (CPU, memory) if the system is under heavy load.
  
  
  
  Monitor and Adjust Workload:
  
  Use transaction ST03N to monitor workload and identify high CPU-consuming transactions.
  If necessary, schedule heavy jobs during off-peak hours to reduce contention.
  
  
  
  Consult SAP Notes:
  
  Check the SAP Support Portal for any relevant notes or patches that may address known issues related to this error.
  
  
  
  Engage with Database Administrators:
  
  Collaborate with your database administrators to ensure that the database is properly tuned and maintained.
  
  
  
  Related Information:
  
  
  Transaction Codes: 
  
  ST05: SQL Trace for performance analysis.
  ST03N: Workload analysis.
  SE11: Data Dictionary for checking table structures and indexes.
  
  
  
  Performance Monitoring Tools: Consider using SAP's performance monitoring tools or third-party solutions to gain insights into system performance.
  
  
  Documentation: Refer to SAP documentation for best practices on SQL performance tuning and database optimization.
  
  
  By following these steps, you should be able to identify the root cause of the high CPU usage and implement solutions to mitigate the issue.