You can use either a SQL login or integrated Windows authentication. To connect to an instance of SQL Server to run scripts and upload data, you must have a valid login on the database server. This is the recommended approach for client integration with a production SQL Server instance, and you will need permissions and connection information to make it work. For scalable processing using multiple cores and large data sets, you can shift execution (referred to as compute context) to the data sets and computational power of a remote SQL Server instance. In R Client, R processing is capped at two threads and in-memory data. You should have version 9.2.1 or 9.3.0 for RevoScaleR.Įnter search() at the R prompt for a list of installed packages. When you start an R session from a Microsoft program folder, several packages, including RevoScaleR, load automatically.Įnter print(Revo.version) at the command prompt to return RevoScaleR package version information. Open %ProgramFiles%\Microsoft\R Client\R_SERVER\bin\圆4 and double-click RGui to start an R session with an R command prompt. You can use these tools to get R version information and confirm connectivity. These tools are lightweight, useful for checking package and library information, running ad hoc commands or script, or stepping through tutorials. When you install R with SQL Server, you get the same R tools that are standard to any base installation of R, such as RGui, Rterm, and so forth. Open %ProgramFiles%\Microsoft\R Client\R_SERVER\library to review the list of packages installed with R Client, including RevoScaleR, MicrosoftML, and others. In File Explorer, open the %ProgramFiles%\Microsoft\R Client\R_SERVER\bin folder to confirm the location of R.exe. Locate and list the contents of the installation folder to confirm that R.exe, RGUI, and other packages are installed. Create a new System variable named MKL_CBWR, with a value set to AUTO.In Control Panel, select System and Security > System > Advanced System Settings > Environment Variables.When installation is finished, a welcome screen introduces you to the product and documentation.Ĭreate an MKL_CBWR system environment variable to ensure consistent output on Intel Math Kernel Library (MKL) calculations. In the installation wizard, accept or change default installation path, accept or change the components list, and accept the Microsoft R Client license terms. R Client provides RevoScaleR, MicrosoftML, SQLRUtils, and other R packages. On a local workstation, we recommend installing Microsoft R Client. Microsoft's R packages are available in multiple products and services. You can step through other tutorials to learn about SSMS and embedded R. Almost any R code that you write in a development environment can be embedded in a stored procedure. SSMS is a separate download, useful for creating and running stored procedures on SQL Server, including those containing R code. For improved productivity, you should use a full-featured IDE such as RStudio or Visual Studio. This article explains how to use RGUI for both local and remote R sessions. Whether you are an R developer new to SQL, or a SQL developer new to R and in-database analytics, you will need both an R development tool and a T-SQL query editor such as SQL Server Management Studio (SSMS) to exercise all of the capabilities of in-database analytics.įor simple R development scenarios, you can use the RGUI executable, bundled in the base R distribution in MRO and SQL Server. To validate the installation, you can use built-in RGUI tool as described in this article, or link the libraries to RStudio or any another IDE that you normally use. You will also know how to push computations from a local R session to a remote R session on SQL Server. After completing the steps in this article, you will have the same R libraries as those on SQL Server. In this article, learn how to configure an R client development workstation so that you can interact with a remote SQL Server enabled for machine learning and R integration. The RevoScaleR library, which is also required on the remote SQL Server instance, coordinates computing requests between both systems. To develop and deploy R solutions for SQL Server, install Microsoft R Client on your development workstation to get RevoScaleR and other R libraries. Currently this article applies to SQL Server 2016 (13.x), SQL Server 2017 (14.x), SQL Server 2019 (15.x), and SQL Server 2019 (15.x) for Linux only.
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