Hello! I often encounter a problem where multiple entities cannot successfully boot into d365 for unknown reason (off-topic question). In such cases I use "Copy data to target" tab then I choose "Run for criteria" and enable checkbox "Rows with previous errors"
After these steps failed jobs are successfully reprocessed.
So my question is - is there any options how can I do the same operation from code? I mean HTTP (maybe OData) request.
Performing a job re-run from code depends on the context and the specific technology or platform you're working with. Below are some general guidelines, but keep in mind that the exact steps may vary based on the system or programming language you are using.
General Steps:
Identify the Job:
Determine which job you want to re-run. This could be a script, a batch job, or any process that needs to be executed again.
Code Modification:
If necessary, modify the code to handle the re-run scenario. This might involve resetting variables, clearing caches, or addressing any specific requirements for a clean re-run.
Logging and Debugging:
Ensure that your code has proper logging and debugging mechanisms. This will help you identify issues if the re-run encounters errors.
Automation and Orchestration Tools:
If your job is part of a larger workflow managed by an automation or orchestration tool (e.g., Apache Airflow, Jenkins), you may trigger a re-run through the respective tool's interface or API.
Example in Python:
Assuming you have a Python script that you want to re-run, you might follow these steps:
defmain():
# Your existing code hereif __name__ == "__main__":
# Call the main function
main()
To perform a re-run, you can encapsulate the main logic within a function and call it as needed. For example:
python
defmain(): # Your existing code here
if __name__ == "__main__": # Call the main function for the initial run
main()
# Perform a re-run
re_run_required = True# Set this to True when re-run is needed if re_run_required:
main()
This is a simplified example, and the exact implementation depends on the specifics of your code and requirements.
Specific Platforms:
If you're working with a specific platform or framework, such as Apache Spark, Hadoop, or a cloud-based solution, the steps and APIs for re-running jobs may differ. In such cases, refer to the documentation of the specific technology you're using for guidance on job re-runs.
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