在rocker/verse上使用rstan构建Docker镜像

Question

我计划在Digital Ocean的Docker 17.03.0-ce on 16.04上运行一个预装了tidyverse、rmarkdown和rstan的定制Rstudio。

在Docker Hub上，已经有一个预先构建的镜像:具有tidyverse和rmarkdown功能的Rocker/verse。所以我的计划是简单地获取最新版本的Rocker/verse并添加一个新的rstan层。我使用jonzelner/rstan和jrnold/rstan的dockerfile文件，并按如下方式更新它们：

FROM rocker/verse:latest

# Install essentials
RUN apt-get update \ 
    && apt-get install -y --no-install-recommends \
                   clang-3.6

# Global site-wide config
RUN mkdir -p $HOME/.R/ \
    && echo "\nCXX=clang++ -ftemplate-depth-256\n" >> $HOME/.R/Makevars \
    && echo "CC=clang\n" >> $HOME/.R/Makevars

# Install rstan
RUN install2.r --error \
    inline \
    RcppEigen \
    StanHeaders \
    rstan \
    KernSmooth

# Config for rstudio user
RUN mkdir -p /home/rstudio/.R/ \
    && echo "\nCXX=clang++ -ftemplate-depth-256\n" >> /home/rstudio/.R/Makevars \
    && echo "CC=clang\n" >> /home/rstudio/.R/Makevars \
    && echo "CXXFLAGS=-O3\n" >> /home/rstudio/.R/Makevars \
    && echo "\nrstan::rstan_options(auto_write = TRUE)" >> /home/rstudio/.Rprofile \
    && echo "options(mc.cores = parallel::detectCores())" >> /home/rstudio/.Rprofile

# Install loo
RUN install2.r --error \
    matrixStats \
    loo 

但是，我尝试构建此映像(docker build -t image_name .)的尝试以错误告终。结果如下：

Sending build context to Docker daemon  2.56 kB
Step 1/6 : FROM rocker/verse:latest
 ---> 7ad7d994bffd
Step 2/6 : RUN apt-get update   && apt-get install -y --no-install-recommends                    clang-3.6
 ---> Using cache
 ---> 77473c759438
Step 3/6 : RUN mkdir -p $HOME/.R/     && echo "\nCXX=clang++ -ftemplate-depth-256\n" >> $HOME/.R/Makevars     && echo "CC=clang\n" >> $HOME/.R/Makevars
 ---> Using cache
 ---> a5b06d28b9fe
Step 4/6 : RUN install2.r --error     inline     RcppEigen     StanHeaders     rstan     KernSmooth
 ---> Running in 86b52d5a76f3
trying URL 'https://cran.rstudio.com/src/contrib/inline_0.3.14.tar.gz'
Content type 'unknown' length 18002 bytes (17 KB)
==================================================
downloaded 17 KB

* installing *source* package ‘inline’ ...
** package ‘inline’ successfully unpacked and MD5 sums checked
** R
** inst
** preparing package for lazy loading
** help
*** installing help indices
** building package indices
** testing if installed package can be loaded
* DONE (inline)

The downloaded source packages are in
    ‘/tmp/downloaded_packages’
trying URL 'https://cran.rstudio.com/src/contrib/RcppEigen_0.3.2.9.0.tar.gz'
Content type 'unknown' length 1209128 bytes (1.2 MB)
==================================================
downloaded 1.2 MB

* installing *source* package ‘RcppEigen’ ...
** package ‘RcppEigen’ successfully unpacked and MD5 sums checked
** libs
clang++ -ftemplate-depth-256 -I/usr/local/lib/R/include -DNDEBUG  -I/usr/local/include -I"/usr/local/lib/R/site-library/Rcpp/include"  -I../inst/include -fpic  -g -O2 -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -g  -c RcppEigen.cpp -o RcppEigen.o
/bin/bash: clang++: command not found
/usr/local/lib/R/etc/Makeconf:141: recipe for target 'RcppEigen.o' failed
make: *** [RcppEigen.o] Error 127
ERROR: compilation failed for package ‘RcppEigen’
* removing ‘/usr/local/lib/R/site-library/RcppEigen’
Error in install.packages(pkgs = f, lib = lib, repos = if (isMatchingFile(f)) NULL else rep,  :
  installation of package ‘RcppEigen’ had non-zero exit status
The command '/bin/sh -c install2.r --error     inline     RcppEigen     StanHeaders     rstan     KernSmooth' returned a non-zero code: 1

一些类似的关于non-zero exit status包的问题与内存有关，所以我尝试在本地机器上增加Docker内存，但仍然没有成功。要成功构建此镜像，我可以做些什么吗？

Answer 1

正如您在错误输出中看到的，安装过程找不到编译器：

/bin/bash: clang++: command not found

请注意，这是尝试在rocker/verse容器中安装clang-3.6的输出：

root@8ea0d98e67c3:/# apt-get install -y --no-install-recommends clang-3.6
Reading package lists... Done
Building dependency tree       
Reading state information... Done
Note, selecting 'python-clang-3.6' for regex 'clang-3.6'
0 upgraded, 0 newly installed, 0 to remove and 15 not upgraded.

看起来这张图片并没有在其存储库中随Clang 3.6一起发布。而这个名称则指向Python编程语言的python-clang-3.6；Clang绑定。

除非你绝对想要3.6，否则我会安装指向3.5的普通clang包，然后重新运行Docker构建过程。

apt-get install clang