气流DAG运行已触发，但从未执行？

Question

我发现自己处于手动触发DAG运行（通过airflow trigger_dag datablocks_dag）运行的情况，并且Dag Run在界面中显示，但它会永远保持“运行”状态，而无需执行任何操作。

当我在UI检查该DAG运行，我看到以下内容：

我有start_date设置为datetime(2016, 1, 1)，并schedule_interval设置为@once。 我的从阅读文档的理解是，现在start_date <现在，DAG将被触发。 @once确保它只发生一次。

我的日志文件说：

[2017-07-11 21:32:05,359] {jobs.py:343} DagFileProcessor0 INFO - Started process (PID=21217) to work on /home/alex/Desktop/datablocks/tests/.airflow/dags/datablocks_dag.py 
[2017-07-11 21:32:05,359] {jobs.py:534} DagFileProcessor0 ERROR - Cannot use more than 1 thread when using sqlite. Setting max_threads to 1 
[2017-07-11 21:32:05,365] {jobs.py:1525} DagFileProcessor0 INFO - Processing file /home/alex/Desktop/datablocks/tests/.airflow/dags/datablocks_dag.py for tasks to queue 
[2017-07-11 21:32:05,365] {models.py:176} DagFileProcessor0 INFO - Filling up the DagBag from /home/alex/Desktop/datablocks/tests/.airflow/dags/datablocks_dag.py 
[2017-07-11 21:32:05,703] {models.py:2048} DagFileProcessor0 WARNING - schedule_interval is used for <Task(BashOperator): foo>, though it has been deprecated as a task parameter, you need to specify it as a DAG parameter instead 
[2017-07-11 21:32:05,703] {models.py:2048} DagFileProcessor0 WARNING - schedule_interval is used for <Task(BashOperator): foo2>, though it has been deprecated as a task parameter, you need to specify it as a DAG parameter instead 
[2017-07-11 21:32:05,704] {jobs.py:1539} DagFileProcessor0 INFO - DAG(s) dict_keys(['example_branch_dop_operator_v3', 'latest_only', 'tutorial', 'example_http_operator', 'example_python_operator', 'example_bash_operator', 'example_branch_operator', 'example_trigger_target_dag', 'example_short_circuit_operator', 'example_passing_params_via_test_command', 'test_utils', 'example_subdag_operator', 'example_subdag_operator.section-1', 'example_subdag_operator.section-2', 'example_skip_dag', 'example_xcom', 'example_trigger_controller_dag', 'latest_only_with_trigger', 'datablocks_dag']) retrieved from /home/alex/Desktop/datablocks/tests/.airflow/dags/datablocks_dag.py 
[2017-07-11 21:32:07,083] {models.py:3529} DagFileProcessor0 INFO - Creating ORM DAG for datablocks_dag 
[2017-07-11 21:32:07,234] {models.py:331} DagFileProcessor0 INFO - Finding 'running' jobs without a recent heartbeat 
[2017-07-11 21:32:07,234] {models.py:337} DagFileProcessor0 INFO - Failing jobs without heartbeat after 2017-07-11 21:27:07.234388 
[2017-07-11 21:32:07,240] {jobs.py:351} DagFileProcessor0 INFO - Processing /home/alex/Desktop/datablocks/tests/.airflow/dags/datablocks_dag.py took 1.881 seconds 

可能会造成什么问题？

我误解start_date是如何运作的？

或者令人担忧的schedule_intervalWARNING行在日志文件中可能是问题的根源？

Answer 1

问题是，dag已暂停。

在您提供的截图中，在左上角，将其翻转为On，应该这样做。

这是一个常见的“陷阱”，当开始与气流。