What is adf_publish, what if data factory deleted, what if trigger executed and pipeline execution failed. How to know and how to handle, and also on transformations like which IR is used.

Question

Accepted Answer

adf_publish is a command to publish data factory artifacts. Handling deletion, trigger execution, pipeline failure, and IR usage can be done through monitoring and logging.

adf_publish is used to publish data factory artifacts such as pipelines, datasets, and linked services
If data factory is deleted, all artifacts will be deleted as well. It is important to have backups and version control in place
Trigger execution can be monitored through the Trigger Runs tab in the Azure portal. Failed triggers can be investigated and re-run if necessary
Pipeline execution can be monitored through the Pipeline Runs tab in the Azure portal. Failed pipelines can be investigated and re-run if necessary
IR usage can be monitored through the Integration Runtimes tab in the Azure portal. It is important to ensure the correct IR is used for each pipeline
Logging and monitoring can be set up using Azure Monitor and Log Analytics to track data factory activity and diagnose issues

Accepted Answer

adf_publish is a command to publish data factory artifacts. Handling deletion, trigger execution, pipeline failure, and IR usage can be done through monitoring and logging.

adf_publish is used to publish data factory artifacts such as pipelines, datasets, and linked services
If data factory is deleted, all artifacts will be deleted as well. It is important to have backups and version control in place
Trigger execution can be monitored through the Trigger Runs tab in the Azure portal. Failed triggers can be investigated and re-run if necessary
Pipeline execution can be monitored through the Pipeline Runs tab in the Azure portal. Failed pipelines can be investigated and re-run if necessary
IR usage can be monitored through the Integration Runtimes tab in the Azure portal. It is important to ensure the correct IR is used for each pipeline
Logging and monitoring can be set up using Azure Monitor and Log Analytics to track data factory activity and diagnose issues

Accepted Answer

adf_publish is a command to publish data factory artifacts. Handling deletion, trigger execution, pipeline failure, and IR usage can be done through monitoring and logging.

adf_publish is used to publish data factory artifacts such as pipelines, datasets, and linked services
If data factory is deleted, all artifacts will be deleted as well. It is important to have backups and version control in place
Trigger execution can be monitored through the Trigger Runs tab in the Azure portal. Failed triggers can be investigated and re-run if necessary
Pipeline execution can be monitored through the Pipeline Runs tab in the Azure portal. Failed pipelines can be investigated and re-run if necessary
IR usage can be monitored through the Integration Runtimes tab in the Azure portal. It is important to ensure the correct IR is used for each pipeline
Logging and monitoring can be set up using Azure Monitor and Log Analytics to track data factory activity and diagnose issues

What is adf_publish, what if data factory deleted, what if trigger executed and pipeline execution failed. How to know and how to handle, and also on transformations like which IR is used.

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