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How To Fix DES009 - Timeout threshold reached for Data Enrichment service


SAP Error Message - Details

  • Message type: E = Error

  • Message class: DES - Message class for Data Enrichment services

  • Message number: 009

  • Message text: Timeout threshold reached for Data Enrichment service

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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 DES009 - Timeout threshold reached for Data Enrichment service ?

    The SAP error message "DES009 Timeout threshold reached for Data Enrichment service" typically indicates that a process related to data enrichment in SAP has exceeded the allowed time limit for execution. This can occur in various contexts, such as during data processing in SAP Data Intelligence, SAP HANA, or other SAP services that involve data enrichment tasks.

    Causes:

    1. Long-running Queries: The data enrichment process may involve complex queries or operations that take longer than expected to complete.
    2. Resource Constraints: Insufficient system resources (CPU, memory, I/O) can lead to slower processing times.
    3. Network Latency: If the data enrichment service is accessing data from remote sources, network issues can cause delays.
    4. Configuration Issues: Timeout settings may be configured too low for the expected workload.
    5. Data Volume: Large volumes of data being processed can lead to timeouts if the system is not optimized for such loads.

    Solutions:

    1. Increase Timeout Settings: Review and increase the timeout settings for the data enrichment service if they are set too low. This can often be done in the configuration settings of the service.
    2. Optimize Queries: Analyze and optimize the queries or processes involved in the data enrichment to reduce execution time. This may involve indexing, partitioning, or rewriting queries for better performance.
    3. Monitor System Resources: Check the system's resource usage (CPU, memory, disk I/O) during the data enrichment process. If resources are constrained, consider scaling up the infrastructure or optimizing resource allocation.
    4. Batch Processing: If processing large volumes of data, consider breaking the data into smaller batches to avoid timeouts.
    5. Network Optimization: If network latency is an issue, investigate and optimize network performance, or consider moving data closer to the processing service.
    6. Review Logs: Check the logs for any additional error messages or warnings that could provide more context on the timeout issue.

    Related Information:

    • SAP Documentation: Refer to the official SAP documentation for the specific service you are using (e.g., SAP Data Intelligence, SAP HANA) for detailed configuration and optimization guidelines.
    • SAP Community: Engage with the SAP Community forums to see if others have encountered similar issues and what solutions they have implemented.
    • Performance Monitoring Tools: Utilize SAP's performance monitoring tools to identify bottlenecks in the data enrichment process.

    If the issue persists after trying the above solutions, it may be beneficial to reach out to SAP support for further assistance.

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