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

SMMSS_ALERTS073 - Overview

• 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

Since SAP believes that this specific error message is 'self-explanatory,' no more information has been given.The majority of messages in the SAP system have a message text, however this is frequently insufficient to comprehend or resolve the problem.

To make things easier, more detailed information is frequently added to describe the issue, how to fix it, and the necessary steps or configuration modifications.

Unfortunately, there isn't any extra information in this error notice.

What else can you do?

First, use our AnswerBot below to get a possible cause and solution (requires a premium subscription).

Also, review the in-depth Common Questions & Answers listed below; you could discover a solution there or be able to connect with others who have faced similar challenges.

You can also try searching the SAP support portal (support.sap.com) but you need a special user ID to access it. It is possible that an SAP support note exists that provides additional details about the mistake or even steps for fixing it.

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