Month: June 2017

Installing R packages with rxInstallPackages in Microsoft R Server

tomaztsql , , , , ,

In MicrosoftML package comes – in my opinion – long anticipated function for installing R packages for SQL Server and Microsoft R Server. And, I am super happy.

Last year, in one of my previous blog posts, I have been showing how to install R package from SSMS using sp_execute_external_script. Now, with new package MicrosoftML (that is part of Microsoft R Server 9.x and above)  new function is available that enables you to easy install the package and also little bit more.

Code is relatively simple and straightforward:

USE SQLR;
GO

EXECUTE sp_execute_external_script
 @language = N'R'
 ,@script = N'

 packagesToInstall <- c("caret","tree","party")
 library(MicrosoftML)
 SqlServerCC <- RxInSqlServer(connectionString = "Driver=SQL Server;
+Server=SICN-KASTRUN\\SQLSERVER2017C2;Database=SQLR;
+Trusted_Connection=True;")
 rxInstallPackages(pkgs = packagesToInstall, owner = '', 
+scope = "shared", computeContext = "SqlServerCC");';
GO

This is way too easy to be true, but it is. Make sure to do couple of things prior to running this code:

  1. set the compute environment to where your packages are installed
  2. set up the correct permissions and access
  3. Check up also the tcp/ip protocols

In rxInstallPackages function use computeContext parameter to set either to “Local” or to your  “SqlServer” environment, you can also use scope as shared or private (difference is, if you install package as shared it can be used by different users across different databases, respectively for private). You can also specify owner if you are running this command out of db_owner role.

Happy SQLR-ing!