Air-Gapped RStudio Package Manager#
RStudio Package Manager communicates with an RStudio service to access CRAN and Bioconductor packages and metadata. In offline environments, it is possible to directly download the necessary data from the RStudio service and then copy it to an offline RStudio Package Manager server.
Note
RSPM does not support offline access for PyPI during the PyPI beta.
This guide includes 3 sections:
- Instructions for an initial air-gapped setup (Initial Setup)
- Instructions for performing regular updates (Regular Updates)
- Instructions for upgrading RStudio Package Manager in an air-gapped environment (Air-Gapped Upgrading of RStudio Package Manager)
Initial Setup#
- Copy the file
/opt/rstudio-pm/bin/rspm-offline-downloader
to an online Linux server. If you would prefer to use a Windows server or desktop as your online machine, contact support@rstudio.com. -
Run one of the following commands to learn about the available options:
rspm-offline-downloader get cran --help
rspm-offline-downloader get bioconductor --help
When ready, you can run the command with the appropriate flags to perform the full download. These steps will download metadata, README files, and package archives and may take some time to complete. For CRAN, the data size will be more than 70 GB. For Bioconductor, the total data size for all versions will be over 1.2 TB; specific Bioconductor versions will be up to 170 GB per version.
If you enable CRAN binaries in offline environments, the size of the download will be larger (250 GB+ per configuration) depending on the number of R versions and operating systems selected.
The result will be a directory of files and subdirectories such as:
/path/to/destination/v3/version.txt /path/to/destination/v3/1 /path/to/destination/v3/1/... /path/to/destination/sysreqs /path/to/destination/distros
If the
--include-binaries
flag is used, additional directories will be created depending on the selected R versions and Linux distributions. For example, if the command isrspm-offline-downloader get cran ... --include-binaries --r-versions=3.4,3.5 --linux-distros=bionic,centos7
, then you should expect the following directories to be included:/path/to/destination/bindex /path/to/destination/bin/3.4-bionic /path/to/destination/bin/3.5-bionic /path/to/destination/bin/3.4-centos7 /path/to/destination/bin/3.5-centos7
Enabling binaries in offline environments is optional. See the Serving Package Binaries section for more information on serving binaries.
For Bioconductor, you can optionally limit the downloads to specific Bioconductor versions with the
--versions
flag. If this flag is not included, all supported versions will be downloaded. For example, if you use the commandrspm-offline-downloader get bioconductor ... --versions=3.11,3.10
, then Bioconductor versions 3.11 and 3.10 will be downloaded.Tip
You can use the
devel
andrelease
aliases to download the current Bioconductor development and release versions. For example, to download both the development and release versions, along with an older version, you could use the commandrspm-offline-downloader get bioconductor ... --versions=devel,release,3.10
.For Bioconductor, you will see a resulting directory of files and subdirectories. Note how a separate directory is created for each Bioconductor version (
3.11
and3.10
in the example, below)./path/to/destination/bioc/v4/version.txt /path/to/destination/bioc/v4/1/3.11/bioc /path/to/destination/bioc/v4/1/3.11/data/annotation /path/to/destination/bioc/v4/1/3.11/data/experiment /path/to/destination/bioc/v4/1/3.11/workflows /path/to/destination/bioc/v4/1/3.10/bioc /path/to/destination/bioc/v4/1/3.10/data/annotation /path/to/destination/bioc/v4/1/3.10/data/experiment /path/to/destination/bioc/v4/1/3.10/workflows /path/to/destination/sysreqs /path/to/destination/distros
Is it ok to stop downloading old Bioconductor versions?
When updating downloaded Bioconductor data, you may choose to download only versions for which you need new data. When copying the new data to the air-gapped server, be sure to keep the data for previous versions. If you remove any data for versions that are in use, errors will occur when attempting to access packages or metadata from those versions.
Why do the
get cran
andget bioconductor
commands both create asysreqs
anddistros
directory?The
rspm-offline-downloader
get cran
andget bioconductor
commands both download system requirements data, supported operating systems, and supported R versions to asysreqs
directory. Both CRAN and Bioconductor share this data, and it is safe to overwrite when downloading either data set. -
Create a directory to store the data in the offline RStudio Package Manager server, such as
/var/lib/rspm-offline-data
. If you have a cluster of nodes, use shared storage for this directory.sudo mkdir -p /var/lib/rspm-offline-data
Copy the data downloaded in step 2 from the online machine to the directory on the offline RStudio Package Manager server. For completely isolated servers, you may need to copy the data to a physical drive in order to move it to the offline environment.
For example, if the downloaded data was located at
/path/to/data
:sudo cp -r /path/to/data/. /var/lib/rspm-offline-data
Confirm that the offline data directory has all the files from the original data directory.
Finally, modify the permissions on the directory in the offline RStudio Package Manager server, changing ownership to the Unix account running RStudio Package Manager,
rstudio-pm
by default:sudo chown -R rstudio-pm:rstudio-pm /var/lib/rspm-offline-data
-
Next, configure the offline RStudio Package Manager server to use the downloaded data. To do so, modify the RStudio Package Manager Configuration file to include the following properties in the
CRAN
and/orBioconductor
configuration section:; /etc/rstudio-pm/rstudio-pm.gcfg [CRAN] ManifestURL = A URL in the form, `file:///<the directory you created in step 3>` [Bioconductor] ManifestURL = A URL in the form, `file:///<the directory you created in step 3>/bioc`
For example, if your offline data directory is at
/var/lib/rspm-offline-data
, the file/etc/rstudio-pm/rstudio-pm.gcfg
should contain:; /etc/rstudio-pm/rstudio-pm.gcfg [CRAN] ManifestURL = file:///var/lib/rspm-offline-data [Bioconductor] ManifestURL = file:///var/lib/rspm-offline-data/bioc
Once the file is updated, restart the RStudio Package Manager Service. If the configuration was successful, you should see a message like this in
/var/log/rstudio/rstudio-pm/rstudio-pm.log
:Configured to serve CRAN/Bioconductor data from a directory. Checking path '/var/lib/rspm-offline-data'.
-
Follow the remainder of the instructions in the admin guide for setting up sources and repositories using the
rspm
commands in the offline RStudio Package Manager server. Therspm sync
command will use the downloaded data to populate the necessary CRAN or Bioconductor data and packages.
Regular Updates#
It is important to regularly update data available on the offline server. Updating this data does not automatically make new packages available to end users. The following process pushes updates from the RStudio service to RStudio Package Manager’s metadata. Follow the instructions in the admin guide to make updates available to end users. See the Admin CLI section for more information.
- If you have maintained the originally downloaded files, you can perform a
relatively fast update by re-running the
rspm-offline-downloader
command. Subsequent command executions will simply add or update files as necessary without re-downloading the entire set. - Copy the directory from the online machine to the directory created in the
offline RStudio Package Manager during the initial setup, e.g.,
/var/lib/rspm-offline-data
. Ensure that the directory is still owned by the Unix account running RStudio Package Manager,rstudio-pm
by default.
Note
If you manually update the offline data using an external drive, you can use the --starting-snapshot
flag to only download new files since your last synchronization. Use the validate cran
or
validate bioconductor
command in the rspm-offline-downloader
tool to ensure that the destination
directory is valid.
Upgrading RStudio Package Manager#
A new version of RStudio Package Manager may require data from a new version of the RStudio service. To ensure a smooth upgrade with limited downtime, we recommend the following steps:
- You will need a staging environment that mirrors your offline production server. After creating this environment, begin by upgrading the offline staging server to the latest RStudio Package Manager release.
- Follow the instructions for the Initial Setup of an Air-Gapped server in the Initial Setup section, using the offline staging server.
- After you have validated that everything works as expected, copy the
offline data, e.g.,
/var/lib/rspm-offline-data
, from the offline staging server to the offline production server. - Upgrade the offline production server to the new version of RStudio Package Manager.
-
(Optional) After an upgrade, navigate to the directory storing offline data, e.g.,
/var/lib/rspm-offline-data
. This directory will contain versioned directories, e.g.,/v3 /v4
The output from
rspm-offline-downloader get [ cran | bioconductor ]
will have indicated the version of the RStudio service required by the current version of RStudio Package Manager, e.g.,Performing full download of schema version v4.
-
In this example, only the following directories are necessary:
/var/lib/rspm-offline-data/v3
(CRAN)/var/lib/rspm-offline-data/bioc/v4
(Bioconductor)/var/lib/rspm-offline-data/sysreqs
(System Requirements)/var/lib/rspm-offline-data/distros
(Supported binary OSes and R versions)/var/lib/rspm-offline-data/bindex
(CRAN Package Binary Index)/var/lib/rspm-offline-data/bin
(CRAN Package Binaries)
-
The following directories can be removed:
/var/lib/rspm-offline-data/v2
(old CRAN data)/var/lib/rspm-offline-data/bioc/v3
(old Bioconductor data)