Configuration changes generally require a restart of the instance, or a restart of the Launchpad service. These steps include enabling SQL Server to use external scripts, and adding accounts required for SQL Server to run R jobs on your behalf. R scripts running in external libraries cannot be managed by SQL Server, leading to resource contention.Īfter setup is complete, be sure to complete the additional post-configuration steps described in this article.You use a different library and different executable, and get different results, than you do when you are running in SQL Server.However, running code that uses R on the SQL Server computer outside SQL Server can lead to various problems: It is supported because the SQL Server instance uses its own copies of the open-source R distribution. Side-by-side installation with other versions of R is supported but not recommended. The R Services portion of setup will fail.ĭon't install Shared Features > R Server (Standalone) on the same computer running an in-database instance. The security mechanism used for isolating R processes is not compatible with a SQL Server Always On Failover Cluster Instance (FCI) environment.ĭon't install R Services on a domain controller. You have to install R Services, and configure packages, on each node.ĭon't install R Services on a SQL Server Always On Failover Cluster Instance (FCI).

You can't install R only, although you can add it incrementally to an existing instance.įor business continuity, Always On Availability Groups are supported for R Services. If you want R and have SQL Server 2017 or later, see Install SQL Server Machine Learning Services to add the feature.Ī database engine instance is required.

In SQL Server 2017 and later, R is included in Machine Learning Services along with Python.

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