Java 约10秒后从气流装卸容器上断开

我已成功创建并启动此容器：

User information: uid=0 euid=0 gid=0 egid=0

[2019-10-31 12:07:40,312] {{settings.py:213}} INFO - settings.configure_orm(): Using pool settings. pool_size=5, max_overflow=10, pool_recycle=1800, pid=1
/usr/local/lib/python3.7/site-packages/psycopg2/__init__.py:144: UserWarning: The psycopg2 wheel package will be renamed from release 2.8; in order to keep installing from binary please use "pip install psycopg2-binary" instead. For details see: <http://initd.org/psycopg/docs/install.html#binary-install-from-pypi>.
  """)
[2019-10-31 12:07:40,621] {{__init__.py:51}} INFO - Using executor CeleryExecutor
Running a worker with superuser privileges when the
worker accepts messages serialized with pickle is a very bad idea!

If you really want to continue then you have to set the C_FORCE_ROOT
environment variable (but please think about this before you do).

User information: uid=0 euid=0 gid=0 egid=0

通过运行：

docker build --rm --build-arg AIRFLOW_DEPS="datadog,dask" --build-arg PYTHON_DEPS="flask_oauthlib>=0.9" -t puckel/docker-airflow .

docker-compose -f docker-compose-CeleryExecutor.yml up -d

然后我只想将java添加到图像中：

我在最后补充说：

在建造和运行容器之后， 我正在尝试像安装java之前那样连接：

docker exec-it docker-worker\u 1/bin/bash

但是我自动断开了。安装了java

root@5475d28fb5f5:/usr/local/airflow# java -version 
openjdk version "1.8.0_232"
OpenJDK Runtime Environment (build 1.8.0_232-8u232-b09-1~deb9u1-b09)
OpenJDK 64-Bit Server VM (build 25.232-b09, mixed mode)
root@5475d28fb5f5:/usr/local/airflow# %                                                      

当我记录容器时：

User information: uid=0 euid=0 gid=0 egid=0

[2019-10-31 12:07:40,312] {{settings.py:213}} INFO - settings.configure_orm(): Using pool settings. pool_size=5, max_overflow=10, pool_recycle=1800, pid=1
/usr/local/lib/python3.7/site-packages/psycopg2/__init__.py:144: UserWarning: The psycopg2 wheel package will be renamed from release 2.8; in order to keep installing from binary please use "pip install psycopg2-binary" instead. For details see: <http://initd.org/psycopg/docs/install.html#binary-install-from-pypi>.
  """)
[2019-10-31 12:07:40,621] {{__init__.py:51}} INFO - Using executor CeleryExecutor
Running a worker with superuser privileges when the
worker accepts messages serialized with pickle is a very bad idea!

If you really want to continue then you have to set the C_FORCE_ROOT
environment variable (but please think about this before you do).

User information: uid=0 euid=0 gid=0 egid=0

用户信息：uid=0 euid=0 gid=0 egid=0
[2019-10-31 12:07:40312]{{settings.py:213}}INFO-settings.configure_orm（）：使用池设置。池大小=5，最大溢出=10，池回收=1800，pid=1
/usr/local/lib/python3.7/site-packages/psycopg2/__-init__;.py:144:UserWarning:psycopg2-wheel-packages将从2.8版重命名；为了保持从二进制文件安装，请改用“pip安装psycopg2二进制文件”。有关详细信息，请参阅：。
""")
[2019-10-3112:07:40621]{{{{uuuu init_uuuuuuuuuuuuuuuuuuuy.py:51}}信息-使用executor CeleryExecutor
当
工人接受用pickle序列化的消息是一个非常糟糕的主意！
如果您真的想继续，那么必须设置C_FORCE_根
环境变量（但请在执行之前考虑这一点）。
用户信息：uid=0 euid=0 gid=0 egid=0

有人能帮忙吗

---

谢谢

所以您已将用户更改为Dockerfile中的root用户，而Airflow现在拒绝启动。请尝试将Dockerfile中的新代码移动到

用户Airflow

行之前。此外，您还可以在该行之后删除

用户root

行