What does the run_id field represent when a job run request is submitted in Databricks?

The run_id field represents the globally unique ID of the newly triggered run. When a job is submitted in Databricks, the run_id is generated to uniquely identify that specific run instance of the job. This unique identifier is essential for monitoring and managing job runs, as it allows users to track the status, log details, and results of that particular execution without confusion with other runs.

Each job execution may have the same job_id if the job is triggered multiple times, but the run_id will always be different, thus providing a clear reference for each individual run. This functionality is critical for maintaining operational clarity and organizational efficiency in managing jobs within a Databricks workspace. Understanding the run_id allows developers and data engineers to debug and analyze job performance over time, ensuring effective monitoring and troubleshooting of their data pipelines.