If you have multiple repos set in options(repos), Packrat's behavior RStudio Connect will log the URL of all requests made to fetch packages. In repositories, this may help to diagnose them. If there are issues related to packages not being present Workstation but requires a secure private repository on the RStudioĬonnect server. Policy that permits you to use a particular public repository on your This may occur when your organization has a security RStudio Connect will log any overrides to the repos option set by your There are issues related to shared object files used by R, this may help RStudio Connect will log the distribution of Linux used by the server. RStudio Connect includes extra information in the packrat restore, content build,Īnd content execution logs that may help diagnose common problems with publishing Troubleshooting # Troubleshooting Publishing Issues # Parallel builds using the Ncpus argument with install.packages() typically doesn’t typically work for most CI systems, as the (free) VM will only have a single core.Python-invalid-package-repository-certificate.This requires a little more work, but this has already been done by Patrick Schratz Alternatively, we could use the ccache trick, where we store compiled files to be used for the next build.Also see Dirk Eddelbuettel’s recent blog post and youtube video for even more details. The general idea is to add a new Ubuntu package repository, then install packages via apt install r-cran-*. The first is similar to the RStudio package manager and use binary builds, but this time use the Ubuntu versions provided by Michael Rutter.There are three other possibilities for reducing your CI time. ![]() If you are interested in using the RSPM in your own organisation, give us a shout - we’re RStudio Partners.There are few different OSs available for RSPM.If you are using 18.04 bionic, then change in the obvious way The above code is for Ubuntu 16.04 Xenial.If you use GitHub Actions, then this has already been implemented. The above is an incredibly easy way to speed-up your CI steps and works with other CI systems. These few lines cut the travis build time from around 12 minutes to under 4 minutes. Rprofile to enable packages that are installed via Rscript to also use the binary package versions. The first line adds the RStudio binary package repository to the. While looking complicated, it is actually fairly simple. Paste(getRversion(), R.version, R.version, R.version), echo "options(HTTPUserAgent = paste0('R/', getRversion(), ' R (', echo "options(repos = c(CRAN = ''))" > ~/.Rprofile.site The second job had same two lines, but also an additional before_install: line before_install: The total time for this travis job was around twelve minutes. Imports: tidyverse in the DESCRIPTION file. To test this I made a simple package, with no functions, but a dependency on the. ![]() RSPM provides precompiled binaries for CRAN packages, which should ensure a faster install. The RStudio package manager is perhaps the easiest way of speeding up your CI process. In this post, we’ll discuss leveraging some of those techniques for our CI pipeline.ĭo you use Professional Posit Products? If so, checkout out our managed Posit services In a recent post, we showed the different ways of speeding up package installation (worth checking this out if you find package installation/updating slow). ![]() One obvious bottle neck is the “install your R package” step, as any R package may have a large number of dependencies. Start a VM, install your R package, then run a bunch of checks. If you are using R, then the current most popular CI pipeline is Travis CI, but there’s also Jenkins, GitHub Actions, GitLab CI, Circle CI and a few others. It protects us from ourselves! However this process can become slow, as typically the CI process starts with a blank virtual machine (VM). We push a change to the server, and a process is spawned that checks we haven’t done something silly. Continuous integration is an amazing tool when developing R packages.
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