延迟加载的R软件包的更新 [英] update of a R package which is lazy loaded
问题描述
我有几个使用R软件包的Unix服务器，该软件包安装在共享的R库文件夹中.软件包是从此共享文件夹中延迟加载的(默认设置).
I have several unix servers using a R package which is installed on a shared R library folder. The packages are lazy loaded (that's the default) from this shared folder.
现在我要更新软件包:
1)是否可以(而且很干净)在不关闭所有R实例的情况下做到这一点?
1) is it possible (and clean) to do that without closing all R instances?
2)更确切地说，我担心以下问题:
2)a)当我尝试安装已加载的软件包时，从用户界面收到警告:
2)b)
来自 https://cran.r -project.org/doc/manuals/r-release/R-ints.html#Lazy-loading ，
2) More precisely, I am concerned about the following:
2)a) The warning I get from the user interface when I try to install a package that is already loaded:
2)b)
From https://cran.r-project.org/doc/manuals/r-release/R-ints.html#Lazy-loading,
加载使用它的程序包/名称空间时，将使用所有命名对象的承诺填充该程序包/名称空间环境:当评估这些承诺时，它们将从数据库中加载实际的代码.
When a package/namespace which uses it is loaded, the package/namespace environment is populated with promises for all the named objects: when these promises are evaluated they load the actual code from a database.
这是否意味着在对每个对象进行实际评估时，R实例将再次从库文件夹中读取(在这种情况下，这意味着我需要停用延迟加载，或者在更新程序包之前关闭所有R实例)
Does that mean that the R instance will read again from the library folder when doing the actual evaluation of each object (in which case that means I need to either deactivate the lazy loading, or close all R instances before updating the package)
3)还有另一种方法可以在始终运行脚本的服务器网络上维护R软件包，而不必使每个服务器都一个一个地脱机)
3) is there an alternative way to maintain R packages on a network of servers, that are running scripts all the time, without having to put each server offline one by one)
感谢您的输入
推荐答案
您问过
1)是否可以(而且很干净)在不关闭所有R实例的情况下做到这一点?
1) is it possible (and clean) to do that without closing all R instances?
我可以肯定的是，这是到处都是的工作方式和完成方式.
and I can assure that yes, that it is how works and done everywhere.
至
2)更确切地说，我担心以下问题:
2) More precisely, I am concerned about the following:
您读错了.仅建议您重新启动R，以确保新程序包已加载，因为您无法将其插入正在运行的会话中.
you are reading it wrong. An R restart is simply recommended to ensure the new package is loaded as you cannot insert it into a running session.
进一步
3)还有另一种方法可以在始终运行脚本的服务器网络上维护R软件包，而不必使每个服务器都一个一个地脱机)
3) is there an alternative way to maintain R packages on a network of servers, that are running scripts all the time, without having to put each server offline one by one)
您从不需要只需使服务器脱机即可更新用户空间包.例如.例如，当我们每年两次升级整个Ubuntu版本时，我们甚至都不会脱机使用它们.
you never have to take a server off-line just to update a user-space package. E.g. we don't even take them off-line when we, say, upgrade the entire Ubuntu release twice a year.
这篇关于延迟加载的R软件包的更新的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！
