Repair A Job Run
Arguments
- run_id
Job run ID of the run to repair. The run must not be in progress.
- rerun_tasks
Character vector. Task keys of the task runs to repair.
- job_parameters
Named list of job level parameters used in the run.
- latest_repair_id
The ID of the latest repair. This parameter is not required when repairing a run for the first time, but must be provided on subsequent requests to repair the same run.
- performance_target
The performance mode on a serverless job (either
'PERFORMANCE_OPTIMIZED'or'STANDARD'). The performance target determines the level of compute performance or cost-efficiency for the run. This field overrides the performance target defined on the job level.- pipeline_full_refresh
Boolean. Controls whether the pipeline should perform a full refresh.
- rerun_all_failed_tasks
Boolean. If
TRUE, repair all failed tasks. Only one ofrerun_tasksorrerun_all_failed_taskscan be used.- rerun_dependent_tasks
Boolean. If
TRUE, repair all tasks that depend on the tasks inrerun_tasks, even if they were previously successful. Can be also used in combination withrerun_all_failed_tasks.- host
Databricks workspace URL, defaults to calling
db_host().- token
Databricks workspace token, defaults to calling
db_token().- perform_request
If
TRUE(default) the request is performed, ifFALSEthe httr2 request is returned without being performed.
Details
Parameters which are shared with db_jobs_create() are optional, only
specify those that are changing.
See also
Other Jobs API:
db_jobs_create(),
db_jobs_delete(),
db_jobs_get(),
db_jobs_list(),
db_jobs_reset(),
db_jobs_run_now(),
db_jobs_runs_cancel(),
db_jobs_runs_delete(),
db_jobs_runs_export(),
db_jobs_runs_get(),
db_jobs_runs_get_output(),
db_jobs_runs_list(),
db_jobs_runs_submit(),
db_jobs_update()
