How To Fix LT_DHAPE_ENGINE015 - Graph ON_SUSPEND


SAP Error Message - Details

  • Message type: E = Error

  • Message class: LT_DHAPE_ENGINE - SAP Data Hub - ABAP Pipeline Engine - Message Class for Pkg

  • Message number: 015

  • Message text: Graph ON_SUSPEND

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  • Self-Explanatory Message

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    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.

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Smart SAP Assistant

  • What is the cause and solution for SAP error message LT_DHAPE_ENGINE015 - Graph ON_SUSPEND ?

    The SAP error message LT_DHAPE_ENGINE015 with the description "Graph ON_SUSPEND" typically relates to issues in the context of the SAP Data Hub or SAP Data Intelligence, particularly when dealing with data pipelines or workflows that involve graph processing.

    Cause:

    1. Graph Suspension: The error indicates that a graph (a data processing workflow) has been suspended. This can happen due to various reasons, such as:

      • Resource constraints (e.g., memory or CPU limitations).
      • Errors in upstream nodes that prevent the graph from processing further.
      • Manual suspension of the graph for maintenance or troubleshooting.
    2. Configuration Issues: There may be misconfigurations in the graph settings or the environment that lead to the suspension.

    3. Data Quality Issues: If the data being processed has quality issues (e.g., missing values, incorrect formats), it can cause the graph to suspend.

    Solution:

    1. Check Graph Status:

      • Go to the SAP Data Hub or Data Intelligence interface and check the status of the graph. Look for any error messages or logs that provide more context on why the graph was suspended.
    2. Review Logs:

      • Examine the logs for the specific graph execution. This can provide insights into what caused the suspension. Look for any preceding error messages that might indicate the root cause.
    3. Resource Allocation:

      • Ensure that the system has adequate resources (CPU, memory) allocated to run the graph. If necessary, increase the resources or optimize the graph to use fewer resources.
    4. Data Validation:

      • Validate the input data for the graph. Ensure that it meets the expected formats and does not contain any anomalies that could cause processing issues.
    5. Restart the Graph:

      • If the issue has been resolved, you can attempt to restart the graph. This may involve resuming it from the suspended state or redeploying it.
    6. Consult Documentation:

      • Refer to the official SAP documentation for Data Hub or Data Intelligence for specific troubleshooting steps related to graph processing.
    7. Contact SAP Support:

      • If the issue persists and you cannot identify the cause, consider reaching out to SAP support for further assistance. Provide them with the error message, logs, and any steps you have already taken.

    Related Information:

    • SAP Data Hub / Data Intelligence: These platforms are designed for data orchestration, integration, and processing. Understanding their architecture and components can help in troubleshooting issues.
    • Graph Processing: Familiarize yourself with how graphs are constructed and executed within the SAP environment, including the roles of nodes and edges in data processing workflows.
    • Performance Monitoring: Implement monitoring tools to keep track of resource usage and performance metrics, which can help preemptively identify issues that may lead to graph suspension.

    By following these steps, you should be able to diagnose and resolve the LT_DHAPE_ENGINE015 error effectively.

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