kubernetes pod和airflow工作日志的DNS

Question

➜ 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

因此，airflow-79d5f59644-dd4k7吊舱中运行的气流正试图从气流工作者(芹菜/python，它运行一个简单的基于烧瓶的Web服务器处理日志(中提取日志，但它不能，因为airflow-worker-67bcf7844b-rq7r8域名在irflow-79d 5f59644 dd4k7中没有解析

*** 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'))

我怎样才能做到这一点？

我知道Airflow可以远程登录s3，但有没有办法通过POD随机hasotname路由请求？

我已经创建了一个NodeType服务，但airflow对该服务的DNS名称一无所知，并试图通过airflow工作程序的主机名访问日志(Celery发回报告(。

➜ 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 # 

Answer 1

解决方案

为工作舱的部署人员提供以下ENVAIRFLOW__CORE_HOSTNAME_CALLABLE：

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

或者只需更改气流.cfg

然后气流试图通过POD的IP访问，如果您的POD暴露端口8793，则一切正常

Answer 2

如果pod a想要与吊舱B通信，则吊舱B必须使用服务svc-B公开。

然后吊舱A可以与svc-b通信。

这是规则。

就你的情况而言，吊舱B是气流工作器-67bcf7844b-rq7r8:

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

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