Local Executor¶
LocalExecutor runs tasks by spawning processes in a controlled fashion on the scheduler node.
The parameter parallelism limits the number of process spawned not to overwhelm the node.
This parameter must be greater than 0.
The LocalExecutor spawns the number of processes equal to the value of self.parallelism at
start time, using a task_queue to coordinate the ingestion of tasks and the work distribution among the workers, which will take
a task as soon as they are ready. During the lifecycle of the LocalExecutor, the worker processes are running waiting for tasks, once the
LocalExecutor receives the call to shutdown the executor a poison token is sent to the workers to terminate them. Processes used in this
strategy are of class QueuedLocalWorker.
Note
When multiple Schedulers are configured with executor=LocalExecutor in the [core] section of your airflow.cfg, each
Scheduler will run a LocalExecutor. This means tasks would be processed in a distributed fashion across the machines running the
Schedulers.
One consideration should be taken into account:
Restarting a Scheduler: If a Scheduler is restarted, it may take some time for other Schedulers to recognize the orphaned tasks and restart or fail them.
Note
Previous versions of Airflow had the option to configure the LocalExecutor with unlimited parallelism
(self.parallelism = 0). This option has been removed in Airflow 3.0.0 to avoid overwhelming the scheduler node.