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Apache2,Git,Capistrano和Rails - 创建符号链接(Apache2, Git, Capistrano & Rails - creating symlinks)

我有点不耐烦地在服务器上添加符号链接到我的应用程序。 我目前在.gitignore中有以下内容:

/非公开/系统/上传/ *

我基本上不希望Git存储上传目录的内容。 到现在为止还挺好。

在我的服务器上,在deploy.rb中,我有以下内容:

namespace :customs do
  task :symlink, :roles => :app do
    run <<-CMD
      ln -nfs #{shared_path}/system/uploads #{release_path}/non-public/system/uploads
    CMD
  end
end

after "deploy:symlink","customs:symlink"
after "deploy", "deploy:cleanup"

我想在上传目录的每次部署之后创建符号链接,但是我一直收到失败的错误消息,因为首先在git存储库中不存在非public / system / uploads目录。

我已经通过查看存储库验证了这一点,并且结构/非公共/系统/上传不存在,因为我在.gitignore中设置了忽略它。

我看过Git维基,它没有跟踪目录,所以我必须遗漏一些东西。 其他开发人员如何将uploads目录与他们的服务器进行符号链接?


I'm sort of stuck with adding symlinks to my app on the server. I currently have the following in .gitignore:

/non-public/system/uploads/*

I basically don't want Git to store the contents of the upload directory. So far so good.

On my server, inside my deploy.rb, I have the following:

namespace :customs do
  task :symlink, :roles => :app do
    run <<-CMD
      ln -nfs #{shared_path}/system/uploads #{release_path}/non-public/system/uploads
    CMD
  end
end

after "deploy:symlink","customs:symlink"
after "deploy", "deploy:cleanup"

I want to create a symlink after each deployment for the uploads directory, but I keep getting a failed error message because the non-public/system/uploads directory doesn't exist in the git repository in the first place.

I've verified this by taking a look at the repository, and the structure /non-public/system/uploads doesn't exist because I have that set in .gitignore to ignore it.

I've looked at the Git wiki and it doesn't track directories, so I must be missing something. How do other developers symlink the uploads directory with their server?


原文:https://stackoverflow.com/questions/2366174
更新时间:2023-04-27 15:04

最满意答案

谢谢你的问题。

目前,BigQueryIO.Read需要“project:dataset:table”格式的表格信息,因此指定装饰器不起作用。
在支持此功能之前,您可以尝试以下方法:

  • 运行批处理阶段,提取整个bigquery并过滤掉不必要的数据并处理该数据。 如果表格非常大,如果读取的数据量明显小于数据总量,您可能希望将数据分叉到单独的表中。
  • 使用流式数据流。 例如,您可以将数据发布到Pubsub上,并创建一个具有24小时窗口的流式管道。 流媒体管道连续运行,但提供滑动窗口与日常窗口。

希望这可以帮助


Thank you for your question.

At this time, BigQueryIO.Read expects table information in "project:dataset:table" format, so specifying decorators would not work.
Until support for this is in place, you can try the following approaches:

  • Run a batch stage which extracts the whole bigquery and filters out unnecessary data and process that data. If the table is really big, you may want to fork the data into a separate table if the amount of data read is significantly smaller than the total amount of data.
  • Use streaming dataflow. For example, you may publish the data onto Pubsub, and create a streaming pipeline with a 24hr window. The streaming pipeline runs continuously, but provides sliding windows vs. daily windows.

Hope this helps

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