Source code for airflow.executors

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import sys
from airflow.utils.log.logging_mixin import LoggingMixin
from airflow.configuration import conf
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]DEFAULT_EXECUTOR = None




[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 get_default_executor():
    """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 = conf.get('core', 'EXECUTOR')

    DEFAULT_EXECUTOR = _get_executor(executor_name)

    log = LoggingMixin().log
    log.info("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))

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