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How To Fix SMMSS_ALERTS070 - This alert shows the % of cpu time used by a single statement


SAP Error Message - Details

  • Message type: E = Error

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

  • Message number: 070

  • Message text: This alert shows the % of cpu time used by a single statement

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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).

    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.

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Smart SAP Assistant

  • What is the cause and solution for SAP error message SMMSS_ALERTS070 - This alert shows the % of cpu time used by a single statement ?

    The SAP error message SMMSS_ALERTS070 indicates that a specific SQL statement is consuming a high percentage of CPU time. This alert is part of the SAP Solution Manager's monitoring capabilities, which helps in identifying performance issues in the system.

    Cause:

    The primary cause of this alert is that a particular SQL statement is executing inefficiently, leading to high CPU usage. This can happen due to several reasons, including:

    1. Poorly Optimized Queries: The SQL statement may not be optimized, leading to excessive resource consumption.
    2. Lack of Indexes: Missing or improperly configured indexes can cause the database to perform full table scans instead of using indexes, which increases CPU usage.
    3. Data Volume: Large volumes of data being processed by the query can lead to high CPU consumption.
    4. Database Configuration: Suboptimal database configuration settings can also contribute to performance issues.
    5. Concurrency Issues: High concurrency on the same SQL statement can lead to contention and increased CPU usage.

    Solution:

    To address the issue indicated by the SMMSS_ALERTS070 alert, consider the following steps:

    1. Analyze the SQL Statement:

      • Use tools like SQL Trace (ST05) or SQL Performance Monitor to analyze the execution plan of the SQL statement.
      • Identify any bottlenecks or inefficiencies in the query.
    2. Optimize the Query:

      • Rewrite the SQL statement to improve its efficiency.
      • Ensure that the query is using appropriate joins, filters, and aggregations.
    3. Create or Update Indexes:

      • Analyze the execution plan to determine if indexes are missing or if existing indexes can be improved.
      • Create new indexes or modify existing ones to enhance query performance.
    4. Database Tuning:

      • Review and adjust database configuration parameters to optimize performance.
      • Consider partitioning large tables if applicable.
    5. Monitor and Adjust:

      • Continuously monitor the performance of the SQL statement after making changes.
      • Use SAP Solution Manager or other monitoring tools to keep track of CPU usage and performance metrics.
    6. Consult Documentation and Support:

      • Refer to SAP documentation for best practices on SQL performance tuning.
      • If necessary, consult with SAP support for further assistance.

    Related Information:

    • Transaction Codes: Use transaction codes like ST04 (Database Performance Analysis) and ST05 (SQL Trace) to gather more information about SQL performance.
    • SAP Notes: Check for relevant SAP Notes that may provide additional insights or solutions related to performance issues.
    • Performance Tuning Guides: SAP provides various performance tuning guides that can help in optimizing SQL statements and database performance.

    By following these steps, you can effectively address the high CPU usage issue indicated by the SMMSS_ALERTS070 alert and improve the overall performance of your SAP system.

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