“传递的参数无效”dag使用气流将mysql数据加载到bigquery时出错

我运行一个DAG，它提取MySQL数据并在气流中将其加载到BigQuery . 我当前得到以下错误：

/usr/local/lib/python2.7/dist-packages/airflow/models.py:1927:PendingDeprecationWarning：将无效的参数传递给MySqlToGoogleCloudStorageOperator . 在Airflow 2.0中将删除对传递此类参数的支持 . 无效的参数是：* args :(）** kwargs：{'google_cloud_storage_connn_id'：'podioGCPConnection'} category = PendingDeprecationWarning /usr/local/lib/python2.7/dist-packages/airflow/models.py:1927:PendingDeprecationWarning：无效参数传递给GoogleCloudStorageToBigQueryOperator . 在Airflow 2.0中将删除对传递此类参数的支持 . 无效的参数是：* args :(）** kwargs：{'project_id'：'podio-data'} category = PendingDeprecationWarning

dag的代码在这里：

my_connections = [
    'podiotestmySQL'
]

my_tables = [
    'logistics_orders',
    'logistics_waybills',
    'logistics_shipping_lines',
    'logistics_info_requests'
]

default_args = {
    'owner' : 'tia',
    'start_date' : datetime(2018, 1, 2),
    'depends_on_past' : False,
    'retries' : 1,
    'retry_delay':timedelta(minutes=5),
}

dag = DAG('etl', default_args=default_args,schedule_interval=timedelta(days=1))

slack_notify = SlackAPIPostOperator (
    task_id = 'slack_notfiy',
    token = 'xxxxxx',
    channel='data-status',
    username = 'airflow',
    text = 'Successfully performed podio ETL operation',
    dag=dag)

for connection in my_connections:
    for table in my_tables: 
        extract = MySqlToGoogleCloudStorageOperator(
           task_id="extract_mysql_%s_%s"%(connection,table),
           mysql_conn_id = connection,
           google_cloud_storage_connn_id = 'podioGCPConnection',
           sql = "SELECT *, '%s' as source FROM podiodb.%s"%(connection,table),
           bucket='podio-reader-storage',
           filename= '%s/%s/%s{}.json'%(connection,table,table),
           schema_filename='%s/schemas/%s.json'%(connection,table),
           dag=dag)

       load =GoogleCloudStorageToBigQueryOperator(
           task_id = "load_bg_%s_%s"%(connection,table),
           bigquery_conn_id = 'podioGCPConnection',
           google_cloud_storage_conn_id = 'podioGCPConnection',
           bucket = 'podio-reader-storage',
           destination_project_dataset_table = "Podio_Data1.%s/%s"%(connection,table),
           source_objects = ["%s/%s/%s*.json"%(connection,table,table)],
           schema_object = "%s/schemas/%s.json"%(connection,table),
           source_format = 'NEWLINE_DELIMITED_JSON',
           create_disposition = 'CREATE_IF_NEEDED',
           write_disposition = 'WRITE_TRUNCATE',
           project_id = 'podio-data',
           dag=dag)

      load.set_upstream(extract)
      slack_notify.set_upstream(load)