hi,team:

    my dag is 1 minute schedule,one parts dag state is success,but tasks state is not yet started in a dag:

![image](https://user-images.githubusercontent.com/41068725/116344664-357d8780-a819-11eb-8010-c746ffdfdbcc.png)


   how can to fix it?
airflow/settings.py
# to get all the logs from the print & log statements in the DAG files before a task is run
# The handlers are restored after the task completes execution.
DONOT_MODIFY_HANDLERS = conf.getboolean('logging', 'donot_modify_handlers', fallback=False)
CAN_FORK = hasattr(os, "fork")
EXECUTE_TASKS_NEW_PYTHON_INTERPRETER = not CAN_FORK or conf.getboolean(
    'core',
    'execute_tasks_new_python_interpreter',
    fallback=False,
)
ALLOW_FUTURE_EXEC_DATES = conf.getboolean('scheduler', 'allow_trigger_in_future', fallback=False)
# Whether or not to check each dagrun against defined SLAs
CHECK_SLAS = conf.getboolean('core', 'check_slas', fallback=True)
USE_JOB_SCHEDULE = conf.getboolean('scheduler', 'use_job_schedule', fallback=True)
# By default Airflow plugins are lazily-loaded (only loaded when required). Set it to False,
# if you want to load plugins whenever 'airflow' is invoked via cli or loaded from module.
LAZY_LOAD_PLUGINS = conf.getboolean('core', 'lazy_load_plugins', fallback=True)
# By default Airflow providers are lazily-discovered (discovery and imports happen only when required).
# Set it to False, if you want to discover providers whenever 'airflow' is invoked via cli or
# loaded from module.
LAZY_LOAD_PROVIDERS = conf.getboolean('core', 'lazy_discover_providers', fallback=True)
# Determines if the executor utilizes Kubernetes
IS_K8S_OR_K8SCELERY_EXECUTOR = conf.get('core', 'EXECUTOR') in {
    executor_constants.KUBERNETES_EXECUTOR,
    executor_constants.CELERY_KUBERNETES_EXECUTOR,
}
HIDE_SENSITIVE_VAR_CONN_FIELDS = conf.getboolean('core', 'hide_sensitive_var_conn_fields')
# By default this is off, but is automatically configured on when running task
# instances
MASK_SECRETS_IN_LOGS = False