How To Fix RSDD_ZA190 - CPU usage of all services (%)


SAP Error Message - Details

  • Message type: E = Error

  • Message class: RSDD_ZA - Messages from TREX Aggregate Area

  • Message number: 190

  • Message text: CPU usage of all services (%)

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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.

    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 RSDD_ZA190 - CPU usage of all services (%) ?

    The SAP error message RSDD_ZA190 typically indicates that the CPU usage of all services in the SAP system is exceeding a certain threshold. This can lead to performance issues and may affect the overall functioning of the system. Here’s a breakdown of the cause, potential solutions, and related information:

    Cause:

    1. High Workload: The system may be experiencing a high volume of transactions or background jobs that are consuming significant CPU resources.
    2. Inefficient Queries: Poorly optimized queries or reports can lead to excessive CPU usage, especially in data-intensive operations.
    3. System Configuration: Misconfiguration of the SAP system or underlying database can lead to inefficient resource utilization.
    4. Hardware Limitations: The physical hardware may not be sufficient to handle the workload, leading to high CPU usage.
    5. Background Processes: Certain background processes or jobs may be consuming more CPU than expected.

    Solutions:

    1. Monitor System Performance: Use transaction codes like ST03N (Workload Analysis) and ST06 (Operating System Monitor) to analyze CPU usage and identify the processes consuming the most resources.
    2. Optimize Queries: Review and optimize any long-running or resource-intensive queries. Use transaction codes like RSRT (Query Monitor) to analyze and improve query performance.
    3. Adjust Background Jobs: Schedule background jobs during off-peak hours to reduce CPU load during peak times.
    4. Increase Hardware Resources: If the system consistently runs at high CPU usage, consider upgrading the hardware (CPU, RAM) or scaling out to additional servers.
    5. Review System Configuration: Ensure that the SAP system and database are configured optimally for performance. This may include adjusting parameters related to memory allocation, parallel processing, etc.
    6. Check for Updates: Ensure that your SAP system is up to date with the latest patches and updates, as performance improvements are often included in these releases.
    7. Analyze and Tune Database: If the database is the bottleneck, consider database tuning and optimization strategies, such as indexing and query optimization.

    Related Information:

    • SAP Notes: Check SAP Notes related to performance issues and CPU usage for specific recommendations and patches.
    • SAP Community: Engage with the SAP Community forums for insights and shared experiences from other users facing similar issues.
    • Performance Monitoring Tools: Consider using SAP Solution Manager or third-party monitoring tools to gain deeper insights into system performance and resource utilization.

    By following these steps, you can identify the root cause of the high CPU usage and implement appropriate solutions to mitigate the issue.

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