DataFlow Error

Question

Why we are getting the Dataflow error : Failed to execute dataflow with internal server error, please retry later. If issue persists, please contact Microsoft support for further assistance while executing the pipeline

Answer 1

Based on this old thread :

Scenario 1: Inadequate Compute Resources and Configuration The success of data flow executions hinges on several critical factors such as selecting the appropriate compute size and type, the number of sources and sinks involved, partitioning specifications, the transformations applied, dataset sizes, and the distribution of data. Incorrect configurations in any of these areas can lead to failures. For additional information on optimizing performance, refer to the Integration Runtime performance guidelines. https://learn.microsoft.com/en-us/azure/data-factory/concepts-integration-runtime-performance Scenario 2: Debug Sessions with Concurrent Activities Initiating a data flow debug session with parallel constructs, such as ForEach loops in the pipeline, can cause multiple concurrent executions on the same cluster. This can overload the cluster, potentially leading to failures due to insufficient resources, like memory shortages. To avoid such issues, ensure to use the correct integration runtime configuration when triggering a run. This configuration should be defined within the pipeline activity and applied after any modifications by selecting "Trigger Now" or navigating through "Debug > Use Activity Runtime."

Scenario 3: Transient Failures Temporary glitches with the microservices that facilitate execution can lead to run failures. Implementing retry mechanisms in the pipeline activities can help mitigate the impact of these transient failures. For more detailed strategies on handling such issues, consult the Activity Policy documentation. https://learn.microsoft.com/en-us/azure/data-factory/concepts-pipelines-activities#activity-json

For further details and troubleshooting guidance, please refer to the section on troubleshooting mapping data flows within Azure Data Factory, under the topic of internal server errors. https://learn.microsoft.com/en-us/azure/data-factory/data-flow-troubleshoot-guide#internal-server-errors https://learn.microsoft.com/en-us/answers/questions/945338/df-executor-outofmemoryerror-azure-data-factory