How To Fix SMMSS_ALERTS010 - SQL Server using &1% of CPU


SMMSS_ALERTS010 - Overview

  • Message type: E = Error

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

  • Message number: 010

  • Message text: SQL Server using &1% of CPU

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  • 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).

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    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_ALERTS010 - SQL Server using &1% of CPU ?
    The SAP error message SMMSS_ALERTS010 indicates that a SQL Server instance is using a high percentage of CPU resources, specifically more than a specified threshold (in this case, &1%). This can lead to performance issues in your SAP system, as high CPU usage can slow down database operations and affect overall system performance.
    Causes
    
    High Query Load: A large number of concurrent queries or poorly optimized queries can lead to high CPU usage.
    Missing Indexes: Queries that require full table scans due to missing or inefficient indexes can consume excessive CPU resources.
    Inefficient SQL Statements: Some SQL statements may not be optimized, leading to high resource consumption.
    Blocking and Deadlocks: If processes are waiting on each other, it can lead to increased CPU usage as the server tries to manage these locks.
    
    Configuration Issues: SQL Server configuration settings, such as memory allocation or parallel processing settings, may not be optimal. Background Processes: Maintenance tasks, such as backups

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