When using the CLI or REST API to get job results, what does the run_id indicate?

The run_id serves as a unique identifier for each specific execution of a job in Databricks. This is important for tracking the execution history, monitoring job performance, and retrieving results for individual job runs. By having a unique run_id for every execution, users can differentiate between multiple instances of the same job, even if they are executed simultaneously or in succession.

Additionally, within the context of tasks associated with that job, each task carries a unique task_id. This distinction allows users to pinpoint which particular task executed within that job run and how it performed. The relationship between the run_id and task_id is crucial for effective job management and result retrieval.

The correct choice emphasizes this specific structure where the run_id remains unique for each run of a job, while the tasks executed during that run are differentiated by their own unique task_ids. This built-in organization aids clarity and enhances usability when interacting with the CLI or REST API to manage job executions and analyze outcomes effectively.