1 
➜ k get pods -n edna    
NAME                              READY   STATUS    RESTARTS   AGE
airflow-79d5f59644-dd4k7          1/1     Running   0          16h
airflow-worker-67bcf7844b-rq7r8   1/1     Running   0          22h
backend-65bcb6546-wvvqj           1/1     Running   0          2d16h

所以在airflow-79d5f59644-dd4k7 pod中运行的气流试图从气流工作者（芹菜/python，它运行一个简单的基于烧瓶的网络服务器处理日志）中提取日志，它不能因为域名airflow-worker-67bcf7844b-rq7r8在气流 79d5f59644-dd4k7内部未解决

*** Log file does not exist: /usr/local/airflow/logs/hello_world/hello_task/2020-07-14T22:05:12.123747+00:00/1.log
*** Fetching from: http://airflow-worker-67bcf7844b-rq7r8:8793/log/hello_world/hello_task/2020-07-14T22:05:12.123747+00:00/1.log
*** Failed to fetch log file from worker. HTTPConnectionPool(host='airflow-worker-67bcf7844b-rq7r8', port=8793): Max retries exceeded with url: /log/hello_world/hello_task/2020-07-14T22:05:12.123747+00:00/1.log (Caused by NewConnectionError('<urllib3.connection.HTTPConnection object at 0x7fd37d6a9790>: Failed to establish a new connection: [Errno -2] Name or service not known'))

我怎样才能使这项工作？

我知道 Airflow 有远程日志记录到 s3，但是有没有办法通过 POD 随机 hasotnames 路由请求？

我创建了一个 NodeType 服务，但气流对该服务的 DNS 名称一无所知，并试图通过气流工作人员的主机名访问日志（由 Celery 报告）。

➜ k get pods -n edna
NAME                              READY   STATUS    RESTARTS   AGE
airflow-79d5f59644-dd4k7          1/1     Running   0          16h
airflow-worker-67bcf7844b-rq7r8   1/1     Running   0          22h
backend-65bcb6546-wvvqj           1/1     Running   0          2d17h

kubectl get pods -n edna -l app=edna-airflow-worker \                                                                        
    -o go-template='{{range .items}}{{.status.podIP}}{{"\n"}}{{end}}'
'Tipz:' kgp -n edna -l app=edna-airflow-worker \ -o go-template='{{range .items}}{{.status.podIP}}{{" "}}{{end}}'
10.0.101.120

进入气流 79d5f59644-dd4k7吊舱

k exec -ti -n edna airflow-79d5f59644-dd4k7 bash  

  [DEV] airflow-79d5f59644-dd4k7 app # curl -L http://airflow-worker-67bcf7844b-rq7r8:8793/log/hello_world/hello_task/2020-07-14T21:59:01.400678+00:00/1.log

curl: (6) Could not resolve host: airflow-worker-67bcf7844b-rq7r8; Unknown error
  [DEV] airflow-79d5f59644-dd4k7 app # curl -L http://10.0.101.120:8793/log/hello_world/hello_task/2020-07-14T21:59:01.400678+00:00/1.log
[2020-07-14 21:59:07,257] {{taskinstance.py:669}} INFO - Dependencies all met for <TaskInstance: hello_world.hello_task 2020-07-14T21:59:01.400678+00:00 [queued]>
[2020-07-14 21:59:07,341] {{taskinstance.py:669}} INFO - Dependencies all met for <TaskInstance: hello_world.hello_task 2020-07-14T21:59:01.400678+00:00 [queued]>
[2020-07-14 21:59:07,342] {{taskinstance.py:879}} INFO - 
--------------------------------------------------------------------------------
[2020-07-14 21:59:07,342] {{taskinstance.py:880}} INFO - Starting attempt 1 of 1
[2020-07-14 21:59:07,342] {{taskinstance.py:881}} INFO - 
--------------------------------------------------------------------------------
[2020-07-14 21:59:07,348] {{taskinstance.py:900}} INFO - Executing <Task(PythonOperator): hello_task> on 2020-07-14T21:59:01.400678+00:00
[2020-07-14 21:59:07,351] {{standard_task_runner.py:53}} INFO - Started process 5795 to run task
[2020-07-14 21:59:07,912] {{logging_mixin.py:112}} INFO - Running %s on host %s <TaskInstance: hello_world.hello_task 2020-07-14T21:59:01.400678+00:00 [running]> airflow-worker-67bcf7844b-rq7r8
[2020-07-14 21:59:07,989] {{logging_mixin.py:112}} INFO - Hello world! This is really cool!
[2020-07-14 21:59:07,989] {{python_operator.py:114}} INFO - Done. Returned value was: Hello world! This is really cool!
[2020-07-14 21:59:08,161] {{taskinstance.py:1065}} INFO - Marking task as SUCCESS.dag_id=hello_world, task_id=hello_task, execution_date=20200714T215901, start_date=20200714T215907, end_date=20200714T215908
[2020-07-14 21:59:17,070] {{logging_mixin.py:112}} INFO - [2020-07-14 21:59:17,070] {{local_task_job.py:103}} INFO - Task exited with return code 0
  [DEV] airflow-79d5f59644-dd4k7 app #
4

2 回答 2

2

解决方案

为 worker pod 的 deployment.yaml提供以下 ENV AIRFLOW__CORE__HOSTNAME_CALLABLE：

env:
  - name: AIRFLOW__CORE__HOSTNAME_CALLABLE
    value: 'airflow.utils.net:get_host_ip_address'

或者只是改变airflow.cfg

然后气流正在尝试通过 POD 的 IP 访问，如果您的 POD 公开端口8793 ，则一切正常

于 2020-07-14T23:45:32.630 回答
1

如果pod A想要与pod B通信，则 pod B 必须使用服务svc-b公开。

然后 pod A 可以与 svc-b 通信。

这是规则。

对于您的情况，吊舱 B 是 airflow-worker-67bcf7844b-rq7r8 ：

kubectl -n edna expose airflow-worker-67bcf7844b-rq7r8 \
  --name airflow-worker \
  --port 8793 \
  --target-port 8793

现在随意使用curl -L http://airflow-worker:8793/而不是curl -L http://airflow-worker-67bcf7844b-rq7r8:8793/

于 2020-07-14T23:22:02.120 回答