Hello Community
I'm using the for_each tasks in workflows, but I'm struggling to access to the job information through the job APIs.
In short, using the runs api (Get a single job run | Jobs API | REST API reference | Databricks on AWS), I'm able to access the single tasks run IDs of the specific run, when they are sub-jobs.
"tasks": [{'run_id': XXXXX,...},...]
In case of for each tasks, I can access the "root" task (name, run ID, everything), I can access the input parameters used in the sub jobs steps, but I can't access the run IDs of each iteration (but this information is easily accessible from the databricks portal).
On the other hand, if I get via API the info about such steps using the specific iteration run ID (that I take from the portal), the job is of course there, and it's also connected to the root ID via
{job_run_id:RUN_ID}
Am I missing something? How can I access the iteration run IDs knowing the run ID of the caller?
