r - 如何在操作化，远程R工作区和RStudio服务器中选择R Server的R作为默认值？

因此，我在Linux(Ubuntu)上设置了Azure数据科学虚拟机，并在终端上执行了以下操作，以启用Remote R工作区，RStudio Server，R Server Operationalization和hadoop:

sudo apt update
sudo apt -y upgrade

# Hadoop is installed but doesn't seem to appear on the PATH or have its environment variable set by default
sudo echo "" >> ~/.bashrc
sudo echo "export PATH="'$'"PATH:/opt/hadoop/hadoop-2.7.4/bin" >> ~/.bashrc
sudo echo "export HADOOP_HOME=/opt/hadoop/hadoop-2.7.4" >> ~/.bashrc
#
source ~/.bashrc

#Setting up a password as none exists to begin with because of private key selection in the installation
#RStudio Server requires a password though
"MyPassword\nMyPassword\n" | sudo passwd sshuser

#Unfortunately hadoop fails on Data Science Virtual Machine
#error: mkdir: Call From IM-DSonUbuntu/192.168.5.4 to localhost:9000 failed on connection exception: java.net.ConnectException: Connection refused; For more details see:  http://wiki.apache.org/hadoop/ConnectionRefused
# hadoop fs -mkdir /user/RevoShare/rserve2
# hadoop fs -chmod uog+rwx /user/RevoShare/rserve2
sudo mkdir -p /var/RevoShare/rserve2
sudo chmod uog+rwx /var/RevoShare/rserve2
# hadoop fs -mkdir /user/RevoShare/sshuser
# hadoop fs -chmod uog+rwx /user/RevoShare/sshuser
sudo mkdir -p /var/RevoShare/sshuser
sudo chmod uog+rwx /var/RevoShare/sshuser

#Setting up R Server Operationalisation
cd /opt/microsoft/mlserver/9.2.1/o16n
sudo dotnet Microsoft.MLServer.Utils.AdminUtil/Microsoft.MLServer.Utils.AdminUtil.dll -silentoneboxinstall MyPassword


#They say this Data Science Virtual Machine already has RStudio Server, but even though the port 8787 is open, it's nowhere to be found! So installing it now, and after the installation it's accessible by refreshing the page that failed before.
#Perhaps it's not installed then? Or a service is not running like it shoudl?
#https://www.rstudio.com/products/rstudio/download-server/
wget https://download2.rstudio.org/rstudio-server-1.1.414-amd64.deb
yes | sudo gdebi rstudio-server-1.1.414-amd64.deb
#They are small, leave them for debug reasons - lets have evidence the script run thus far.
#sudo rm rstudio-server-1.1.414-amd64.deb

# Remote R workspace Service needs dotnet sdk
curl https://packages.microsoft.com/keys/microsoft.asc | gpg --dearmor > microsoft.gpg
sudo mv microsoft.gpg /etc/apt/trusted.gpg.d/microsoft.gpg
sudo sh -c 'echo "deb [arch=amd64] https://packages.microsoft.com/repos/microsoft-ubuntu-xenial-prod xenial main" > /etc/apt/sources.list.d/dotnetdev.list'
sudo apt update
sudo apt -y install dotnet-sdk-2.0.0
sudo apt install libxml2-dev

#Downloading and installing the Remote R service
wget -O rtvs-daemon.tar.gz https://aka.ms/r-remote-services-linux-binary-current
tar -xvzf rtvs-daemon.tar.gz
sudo ./rtvs-install -s
sudo systemctl enable rtvsd
sudo systemctl start rtvsd
#sudo rm rtvs-daemon.tar.gz
#sudo rm rtvs-install

#Fixing Remote R: For some reason, even though 'sudo systemctl enable rtvsd' runs, after every reboot the service won't become automatically active. So let's fix that.
wget https://sa0im0general.blob.core.windows.net/general-blob-container/StartRemoteRAfterReboot.sh
sudo mv StartRemoteRAfterReboot.sh /var/RevoShare/StartRemoteRAfterReboot.sh

sudo /sbin/shutdown -r 5

sudo chown root /etc/rc.local
sudo chmod 755 /etc/rc.local
sudo systemctl enable rc-local.service
sudo -s
sudo find /etc/ -name "rc.local" -exec sed -i 's/exit 0//g' {} \;
sudo echo "" >> /etc/rc.local
sudo echo "sh /var/RevoShare/StartRemoteRAfterReboot.sh" >> /etc/rc.local
sudo echo "exit 0" >> /etc/rc.local
exit

我还尝试了这些方法，以查看它对RStudio服务器是否有任何影响(它没有，但是即使有，我希望全局解决方案也可以在Remote R Workspace Service和R Server上工作。不仅是RStudio服务器，还可以进行操作):

#Configuring RStudio Server to see the R Server R
sudo echo "rsession-which-r=/opt/microsoft/mlserver/9.2.1/bin/R/R" >> /etc/rstudio/rserver.conf

export RSTUDIO_WHICH_R=/opt/microsoft/mlserver/9.2.1/bin/R/R
sudo echo "RSTUDIO_WHICH_R=/opt/microsoft/mlserver/9.2.1/bin/R/R" >> ~/.profile
source ~/.profile
sudo echo "RSTUDIO_WHICH_R=/opt/microsoft/mlserver/9.2.1/bin/R/R" >> ~/.bashrc
source ~/.bashrc

sudo echo "PATH=$PATH:/opt/microsoft/mlserver/9.2.1/bin/R" >> ~/.bashrc
export PATH=$PATH:/opt/microsoft/mlserver/9.2.1/bin/R
source ~/.bashrc

问题是，即使“哪个R”指向R Server的R，即键入“sudo R”也将显示消息“正在加载9.2.1版的Microsoft R Server软件包”。并会加载RevoScaleR之类的程序包，其他所有操作均无法完成。

使用http://THE-IP-GOES-HERE.westeurope.cloudapp.azure.com:8787访问RStudio服务器并以初始用户(“sshuser”)(或与此相关的任何其他用户)登录将不会加载R Server，并且RevoScaleR rx函数不可用

使用我的本地Visual Studio 2017通过“工作区”选项卡上的“添加连接”访问远程工作区会加载MRO并显示:

    [0] Microsoft R Open '3.4.1.1347' (Default)

最后，当我使用R Server的Operationalization并使用“mrsdeploy”包的“remoteLogin()”登录时，像RevoScaleR这样的R Server包不会再次加载，因此“rxSummary(〜。，data = iris)”之类的错误失败并显示错误'找不到函数“rxSummary”'

当我从azure部署“Linux上的Machine Learning Server 9.2.1(Ubuntu)”时，发生了完全相同的事情。

我不想只使用常规的开源R，而是希望能够使用R Server-这就是为什么部署此VM的原因。我怎样才能使所有内容都加载R Server的R，而不是Microsoft R Open？ (就像我可以使用“R”在终端上执行的操作一样)

由于我尝试了所有这些操作，并且R控制台已加载到控制台中，因此我现在开始考虑权限。缺省情况下，Data Science VM可能没有正确的权限来允许这些吗？
我很茫然

最佳答案

RStudio服务器已安装在Ubuntu DSVM上，但是默认情况下该服务是禁用的，因为它不支持SSL。您可以使用systemctl enable rstudio-server启用它，然后使用systemctl start rstudio-server启动它。

RStudio服务器使用与Microsoft R服务器相同的R，但是.libPaths不同，因此无法加载MRS软件包。您将需要手动设置.libPaths以便它们匹配。

关于r - 如何在操作化，远程R工作区和RStudio服务器中选择R Server的R作为默认值？，我们在Stack Overflow上找到一个类似的问题：https://stackoverflow.com/questions/48480541/