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This article explores common troubleshooting methods for external control activities in Azure Data Factory. For connector issues e. Message: Error Porque:The Databricks access token has expired. Cause: The Databricks access token has expired. Recommendation: By default, the Azure Databricks access token is valid for 90 days. Create a new token and update the linked service. Message: Missing required field: settings.

Porque:Bad authoring: Notebook path not specified correctly. Cause: Bad authoring: Notebook path not specified correctly.

Recommendation: Specify the notebook path in the Databricks activity. Message: Cluster Porque:Authoring error: Databricks cluster does not exist or has been deleted. Cause: Authoring error: Databricks cluster does not exist or has been deleted. Recommendation: Verify that the Databricks cluster exists. Please visit Databricks user guide for supported URI schemes. Porque:Bad authoring. Cause: Bad authoring.

Recommendation: Verify the linked service definition. Recommendation: Refer to the error message. Message: There were already jobs created in past seconds, exceeding rate limit: job creations per seconds. Porque:Too many Databricks runs in an hour. Cause: Too many Databricks runs in an hour. Recommendation: Check all pipelines that use this Databricks workspace for their job creation rate. If pipelines launched too many Databricks runs in aggregate, migrate some pipelines to a new workspace.

Porque:Authoring error: No value provided for the parameter. Cause: Authoring error: No value provided for the parameter. Recommendation: Inspect the pipeline JSON and ensure all parameters in the baseParameters notebook specify a nonempty value. Recommendation: Ensure the user has the required permissions in the workspace. Please fix the cluster or retry later. Message: The cluster is in Terminated state, not available to receive jobs.

Causa: O cluster foi encerrado. Cause: The cluster was terminated. For interactive clusters, this might be a race condition. Recommendation: The best way to avoid this error is to use job clusters. Message: Job execution failed. Cause: Error messages indicate various issues, such as an unexpected cluster state or a specific activity. Na maioria das vezes nenhuma mensagem de erro aparece.

Most often no error message appears at all. The following table applies to U-SQL. Message: The access token is from the wrong tenant. Mensagem:We cannot accept your job at this moment. The maximum number of queued jobs for your account is Message: We cannot accept your job at this moment.

Cause: This error is caused by throttling on Data Lake Analytics. Recommendation: Reduce the number of submitted jobs to Data Lake Analytics by changing Data Factory triggers and concurrency settings on activities. Ou aumentar os limites do Data Lake Analytics. Or increase the limits on Data Lake Analytics.

Mensagem:This job was rejected because it requires 24 AUs. Message: This job was rejected because it requires 24 AUs. ACL verification failed.

Either the resource does not exist or the user is not authorized to perform the requested operation. Message: Forbidden. Recommendation: Make sure the service principal or certificate the user provides for Data Lake Analytics jobs has access to the Data Lake Analytics account and the default Data Lake Storage instance from the root folder. Recommendation: Verify the path and credentials provided in the linked service. Cause: The Data Lake Analytics account in the linked service is wrong.

Recommendation: Verify that the right account is provided. Cause: The error is from Data Lake Analytics. Recommendation: An error like the example means the job was submitted to Data Lake Analytics, and the script there failed. Investigue em Data Lake Analytics. Investigate in Data Lake Analytics. The job there provides more information about the error and will help you troubleshoot.

Cause: Http method specified in the activity payload is not supported by Azure Function Activity. Message: Response Content is not a valid JObject. Message: Azure function activity missing function key. Cause: Azure function activity definition is not complete. Message: Azure function activity missing function name. Cause: Azure function details in activity definition may be incorrect.

Recommendation: Fix the azure function details and retry again. Message: Azure function activity missing functionAppUrl. Message: There was an error while calling endpoint. Cause: Function URL may be incorrect. Cause: Incorrect activity definition. Causa: A credencial usada para acessar o Azure Machine Learning expirou.

Cause: Credential used to access Azure Machine Learning has expired. Cause: Credential provided in Azure Machine Learning Linked Service is invalid or does not have permission for the operation.

Recommendation: Please verify credential in Linked Service is valid and has permission to access Azure Machine Learning. Recommendation: Please check the value of activity properties to match expected payload of the published Azure ML pipeline specified in Linked Service. Cause: The published Azure ML pipeline endpoint does not exist. Causa: Erro do servidor no Azure Machine Learning. Cause: Server error on Azure Machine Learning. Recommendation: Please retry later.

Contact Azure Machine Learning team for help if issue remains. Please check in Azure Machine Learning for more error logs. Causa: A corrida do gasoduto Azure ML falhou.

Cause: Azure ML pipeline run failed. Cause: The value for the property has not been provided, however it is required in the scenario. Recommendation: Provide the value from the message and try again.

Cause: The type of the provided property is not as expected. Recommendation: Please fix the type of the property and try again. Recommendation: Please lookup the documentation for the property and make sure the value provided has expected format and type.

Cause: The connection string for the storage is invalid or has incorrect format. Recommendation: Please go to the Azure portal, find your storage, copy the connection string and paste in your linked service and try again.

Cause: The request failed due to an underlying issue such as network connectivity, DNS failure, server certificate validation or timeout. Cause: The linked service specified in the activity was wrong.

Recommendation: Please make sure the linked service type is one of the supported types for the activity. Cause: The cloud type is unsupported or could not be determined for storage from the EndpointSuffix. Recommendation: Please use storage in another cloud and try again. Possible causes: network connectivity, DNS failure, server certificate validation or timeout.

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This article explores common troubleshooting methods for external control activities in Azure Data Factory. Connector and copy activity For connector issues e. Azure Databricks Message: Error Cause: The Databricks access token has expired. Recommendation: By default, the Azure Databricks access token is valid for 90 days.

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