The goal of this series of articles is to demystify this process and to introduce some brand new features that should make it easier. While this is already possible, so far it’s been mostly up to the app authors to figure out the appropriate database driver for R and how to manage the database connections within the app itself. ![]() Here are the installation instructions, so your code runs smoothly: # get shiny, DBI, dplyr and dbplyr from CRAN install.packages ( "shiny" ) install.packages ( "DBI" ) install.packages ( "dplyr" ) install.packages ( "dbplyr" ) # get pool from GitHub, since it's not yet on CRAN devtools :: install_github ( "rstudio/pool" ) OverviewĪs Shiny apps grow and become more complex, a recurring issue has been that of integrating an external database into an app. There are four packages that you need throughout this series of articles. If you want to continue using pool with an older version of dplyr, please install ( Installation ![]() ![]() Note (6/22/17): pool is now compatible with dplyr 0.7.0 and the brand new dbplyr.
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