Source code for airflow.executors

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import sys
from airflow.utils.log.logging_mixin import LoggingMixin
from airflow import configuration
from airflow.exceptions import AirflowException
from airflow.executors.base_executor import BaseExecutor # noqa
from airflow.executors.local_executor import LocalExecutor
from airflow.executors.sequential_executor import SequentialExecutor

[docs]def _integrate_plugins(): """Integrate plugins to the context.""" from airflow.plugins_manager import executors_modules for executors_module in executors_modules: sys.modules[executors_module.__name__] = executors_module globals()[executors_module._name] = executors_module
[docs]def GetDefaultExecutor(): """Creates a new instance of the configured executor if none exists and returns it""" global DEFAULT_EXECUTOR if DEFAULT_EXECUTOR is not None: return DEFAULT_EXECUTOR executor_name = configuration.conf.get('core', 'EXECUTOR') DEFAULT_EXECUTOR = _get_executor(executor_name) log = LoggingMixin().log"Using executor %s", executor_name) return DEFAULT_EXECUTOR
[docs]class Executors:
[docs] LocalExecutor = "LocalExecutor"
[docs] SequentialExecutor = "SequentialExecutor"
[docs] CeleryExecutor = "CeleryExecutor"
[docs] DaskExecutor = "DaskExecutor"
[docs] MesosExecutor = "MesosExecutor"
[docs] KubernetesExecutor = "KubernetesExecutor"
[docs]def _get_executor(executor_name): """ Creates a new instance of the named executor. In case the executor name is not know in airflow, look for it in the plugins """ if executor_name == Executors.LocalExecutor: return LocalExecutor() elif executor_name == Executors.SequentialExecutor: return SequentialExecutor() elif executor_name == Executors.CeleryExecutor: from airflow.executors.celery_executor import CeleryExecutor return CeleryExecutor() elif executor_name == Executors.DaskExecutor: from airflow.executors.dask_executor import DaskExecutor return DaskExecutor() elif executor_name == Executors.MesosExecutor: from airflow.contrib.executors.mesos_executor import MesosExecutor return MesosExecutor() elif executor_name == Executors.KubernetesExecutor: from airflow.contrib.executors.kubernetes_executor import KubernetesExecutor return KubernetesExecutor() else: # Loading plugins _integrate_plugins() executor_path = executor_name.split('.') if len(executor_path) != 2: raise AirflowException( "Executor {0} not supported: " "please specify in format plugin_module.executor".format(executor_name)) if executor_path[0] in globals(): return globals()[executor_path[0]].__dict__[executor_path[1]]() else: raise AirflowException("Executor {0} not supported.".format(executor_name))