airflow/jobs.py
def _execute_for_run_dates(self, run_dates, ti_status, executor, pickle_id,
                               start_date, session=None):
        """
        Computes the dag runs and their respective task instances for
        the given run dates and executes the task instances.
        Returns a list of execution dates of the dag runs that were executed.

        :param run_dates: Execution dates for dag runs
        :type run_dates: list
        :param ti_status: internal BackfillJob status structure to tis track progress
        :type ti_status: BackfillJob._DagRunTaskStatus
        :param executor: the executor to use, it must be previously started
        :type executor: BaseExecutor
        :param pickle_id: numeric id of the pickled dag, None if not pickled
        :type pickle_id: int
        :param start_date: backfill start date
        :type start_date: datetime.datetime
        :param session: the current session object
        :type session: sqlalchemy.orm.session.Session
        """
        for next_run_date in run_dates:
            dag_run = self._get_dag_run(next_run_date, session=session)
            tis_map = self._task_instances_for_dag_run(dag_run,
                                                       session=session)
            if dag_run is None:
                continue

            ti_status.active_runs.append(dag_run)
            ti_status.to_run.update(tis_map or {})

        processed_dag_run_dates = self._process_backfill_task_instances(
            ti_status=ti_status,
            executor=executor,
            pickle_id=pickle_id,
            start_date=start_date,
            session=session)

        ti_status.executed_dag_run_dates.update(processed_dag_run_dates)
def _execute_for_run_dates(self, run_dates, ti_status, executor, pickle_id,
                               start_date, session=None):
        for next_run_date in run_dates:
            dag_run = self._get_dag_run(next_run_date, session=session)
            tis_map = self._task_instances_for_dag_run(dag_run,
                                                       session=session)
            if dag_run is None:
                continue

            ti_status.active_runs.append(dag_run)
            ti_status.to_run.update(tis_map or {})

        processed_dag_run_dates = self._process_backfill_task_instances(
            ti_status=ti_status,
            executor=executor,
            pickle_id=pickle_id,
            start_date=start_date,
            session=session)

        ti_status.executed_dag_run_dates.update(processed_dag_run_dates)
def _execute_for_run_dates ( self , run_dates , ti_status , executor , pickle_id , start_date , session = None ) : for next_run_date in run_dates : dag_run = self . _get_dag_run ( next_run_date , session = session ) tis_map = self . _task_instances_for_dag_run ( dag_run , session = session ) if dag_run is None : continue ti_status . active_runs . append ( dag_run ) ti_status . to_run . update ( tis_map or { } ) processed_dag_run_dates = self . _process_backfill_task_instances ( ti_status = ti_status , executor = executor , pickle_id = pickle_id , start_date = start_date , session = session ) ti_status . executed_dag_run_dates . update ( processed_dag_run_dates )
Computes the dag runs and their respective task instances for
        the given run dates and executes the task instances.
        Returns a list of execution dates of the dag runs that were executed.

        :param run_dates: Execution dates for dag runs
        :type run_dates: list
        :param ti_status: internal BackfillJob status structure to tis track progress
        :type ti_status: BackfillJob._DagRunTaskStatus
        :param executor: the executor to use, it must be previously started
        :type executor: BaseExecutor
        :param pickle_id: numeric id of the pickled dag, None if not pickled
        :type pickle_id: int
        :param start_date: backfill start date
        :type start_date: datetime.datetime
        :param session: the current session object
        :type session: sqlalchemy.orm.session.Session
Computes the dag runs and their respective task instances for the given run dates and executes the task instances . Returns a list of execution dates of the dag runs that were executed .