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
"""Initialize Airflow with all the settings from this file"""
    configure_vars()
    prepare_syspath()
    import_local_settings()
    global LOGGING_CLASS_PATH
    LOGGING_CLASS_PATH = configure_logging()
    configure_adapters()
    # The webservers import this file from models.py with the default settings.
    configure_orm()
    configure_action_logging()
    # Ensure we close DB connections at scheduler and gunicorn worker terminations
    atexit.register(dispose_orm)
# pylint: enable=global-statement
# Const stuff
KILOBYTE = 1024
MEGABYTE = KILOBYTE * KILOBYTE
WEB_COLORS = {'LIGHTBLUE': '#4d9de0', 'LIGHTORANGE': '#FF9933'}
# Updating serialized DAG can not be faster than a minimum interval to reduce database
# write rate.
MIN_SERIALIZED_DAG_UPDATE_INTERVAL = conf.getint('core', 'min_serialized_dag_update_interval', fallback=30)
# Fetching serialized DAG can not be faster than a minimum interval to reduce database
# read rate. This config controls when your DAGs are updated in the Webserver
MIN_SERIALIZED_DAG_FETCH_INTERVAL = conf.getint('core', 'min_serialized_dag_fetch_interval', fallback=10)
# Whether to persist DAG files code in DB. If set to True, Webserver reads file contents
# from DB instead of trying to access files in a DAG folder.
STORE_DAG_CODE = conf.getboolean("core", "store_dag_code", fallback=True)
# If donot_modify_handlers=True, we do not modify logging handlers in task_run command
# If the flag is set to False, we remove all handlers from the root logger
# and add all handlers from 'airflow.task' logger to the root Logger. This is done