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[SCOPED] Retire SQL Server 2016 moniker segments (#37655)
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docs/database-engine/install-windows/install-sql-server-database-engine.md

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@@ -44,11 +44,6 @@ The following features are installed when you select **SQL Server Database Engin
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- [Machine Learning Services (In-Database)](../../machine-learning/install/sql-machine-learning-services-windows-install.md) (R and Python) - is an optional component
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::: moniker-end
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::: moniker range="=sql-server-2016"
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- [R Services (In-Database)](../../machine-learning/install/sql-r-services-windows-install.md) - is an optional component
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::: moniker-end
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- Full-Text Search - is an optional component
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- Data Quality Services - is an optional component

docs/machine-learning/install/sql-machine-learning-standalone-windows-install.md

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::: moniker range="=sql-server-2017||=sql-server-ver15"
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SQL Server Setup includes a **shared feature** option for installing a standalone machine learning server that runs outside of SQL Server. It's called **Machine Learning Server (Standalone)** and includes Python and R.
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::: moniker-end
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::: moniker range="=sql-server-2016"
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SQL Server Setup includes a **shared feature** option for installing a standalone machine learning server that runs outside of SQL Server. In SQL Server 2016, this feature is called **R Server (Standalone)**.
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::: moniker-end
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A standalone server as installed by SQL Server Setup supports use cases and scenarios such as the following:
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You can only have one standalone server on the computer: either SQL Server Machine Learning Server (Standalone) or SQL Server R Server (Standalone). Be sure to uninstall one version before adding a new one.
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::: moniker range="=sql-server-2016"
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<a name="bkmk_ga_instalpatch"></a>
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### Install patch requirement
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For SQL Server 2016 only: Microsoft has identified a problem with the specific version of Microsoft VC++ 2013 Runtime binaries that are installed as a prerequisite by SQL Server. If this update to the VC runtime binaries is not installed, SQL Server may experience stability issues in certain scenarios. Before you install SQL Server follow the instructions at [SQL Server Release Notes](../../sql-server/sql-server-2016-release-notes.md#bkmk_ga_instalpatch) to see if your computer requires a patch for the VC runtime binaries.
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::: moniker-end
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## Get the installation media
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[!INCLUDE[GetInstallationMedia](../../includes/getssmedia.md)]
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6. On the **Ready to Install** page, verify your selections, and click **Install**.
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::: moniker-end
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::: moniker range="=sql-server-2016"
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## Run Setup
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For local installations, you must run Setup as an administrator. If you install [!INCLUDE[ssNoVersion](../../includes/ssnoversion-md.md)] from a remote share, you must use a domain account that has read and execute permissions on the remote share.
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1. Start the installation wizard.
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2. On the **Installation** tab, click **New R Server (Standalone) installation**.
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![Start setup of R Server Standalone](media/2016-setup-installation-rsvr.png "Start setup of R Server Standalone")
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3. After the rules check is complete, accept SQL Server licensing terms, and select a new installation.
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4. On the **Feature Selection** page, the following option should be already selected:
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- **R Server (Standalone)**
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![Feature selections for R Server Standalone](media/2016setup-rserver-features.png "Feature selections for R Server Standalone")
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All other options can be ignored.
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> [!NOTE]
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> Avoid installing the **Shared Features** if you are running setup on a computer where R Services has already been installed for SQL Server in-database analytics. This creates duplicate libraries.
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>
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> Whereas R scripts running in SQL Server are managed by SQL Server so as not to conflict with memory used by other database engine services, the standalone R Server has no such constraints, and can interfere with other database operations.
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>
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> We generally recommend that you install R Server (Standalone) on a separate computer from SQL Server R Services (In-Database).
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5. Accept the license terms for downloading and installing base language distributions. When the **Accept** button becomes unavailable, you can click **Next**.
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6. On the **Ready to Install** page, verify your selections, and click **Install**.
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::: moniker-end
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## Set environment variables
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For R feature integration only, you should set the **MKL_CBWR** environment variable to [ensure consistent output](https://software.intel.com/articles/introduction-to-the-conditional-numerical-reproducibility-cnr) from Intel Math Kernel Library (MKL) calculations.

docs/machine-learning/install/sql-ml-cab-downloads.md

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::: moniker-end
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::: moniker range="=sql-server-2016"
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Download Python and R CAB files for SQL Server 2016 R Services. These CAB files contain updates to the R Services feature and are used when installing SQL Server on a server without internet access.
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This article lists download links to CAB files for each cumulative update. For more information about offline installs, see [Install SQL Server machine learning components without internet access](sql-ml-component-install-without-internet-access.md#apply-cu).
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::: moniker-end
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This article applies to [!INCLUDE[sssql16-md](../../includes/sssql16-md.md)], [!INCLUDE[sssql17-md](../../includes/sssql17-md.md)], and [!INCLUDE[sssql19-md](../../includes/sssql19-md.md)].
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## Prerequisites
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Start with a baseline installation. On SQL Server Machine Learning Services, the initial release is the baseline installation. You can also apply cumulative updates.
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::: moniker range="=sql-server-2016"
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Start with a baseline installation. On SQL Server 2016 R Services, you can start with the initial release, SP1, SP2, or SP3. You can also apply cumulative updates.
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::: moniker range="=sql-server-ver15"
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## SQL Server 2019 CABs
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| | Python Server | [SPS_9.2.0.1400_1033.cab](https://go.microsoft.com/fwlink/?LinkId=2071421&clcid=1033) |
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::: moniker-end
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::: moniker range="=sql-server-2016"
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<a name="bkmk_2016Installers"></a>
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## SQL Server 2016 CABs
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For SQL Server 2016 R Services, baseline releases are either the RTM version or a service pack version.
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|Release |Component |Download link |
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|---------|----------|---------------|
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|**SQL Server 2016 SP2 CU14-CU15**<br />and<br />**SQL Server 2016 SP3** |||
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| |Microsoft R Open |[SRO_3.5.2.777_1033.cab](https://go.microsoft.com/fwlink/?linkid=2134897)|
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| |Microsoft R Server |[SRS_9.4.7.958_1033.cab](https://go.microsoft.com/fwlink/?linkid=2136942)|
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|**SQL Server 2016 SP2 CU6-CU13** |||
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| |Microsoft R Open |[SRO_3.2.2.20100_1033.cab](https://go.microsoft.com/fwlink/?LinkId=2079936&clcid=1033)|
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| |Microsoft R Server |[SRS_8.0.3.20100_1033.cab](https://go.microsoft.com/fwlink/?LinkId=2079933&clcid=1033)|
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|**SQL Server 2016 SP2 CU1-CU5** |||
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| |Microsoft R Open |[SRO_3.2.2.16000_1033.cab](https://go.microsoft.com/fwlink/?LinkId=836819)|
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| |Microsoft R Server |[SRS_8.0.3.20000_1033.cab](https://go.microsoft.com/fwlink/?LinkId=866038)|
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|**SQL Server 2016 SP2** |||
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| |Microsoft R Open |[SRO_3.2.2.16000_1033.cab](https://go.microsoft.com/fwlink/?LinkId=836819)|
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| |Microsoft R Server |[SRS_8.0.3.17000_1033.cab](https://go.microsoft.com/fwlink/?LinkId=850317)|
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|**SQL Server 2016 SP1 CU14** |||
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| |Microsoft R Open |[SRO_3.2.2.16100_1033.cab](https://go.microsoft.com/fwlink/?LinkId=2080130&clcid=1033)|
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| |Microsoft R Server |[SRS_8.0.3.17200_1033.cab](https://go.microsoft.com/fwlink/?LinkId=2079935&clcid=1033)|
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|**SQL Server 2016 SP1 CU1-CU13** |||
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| |Microsoft R Open |[SRO_3.2.2.16000_1033.cab](https://go.microsoft.com/fwlink/?LinkId=836819)|
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| |Microsoft R Server |[SRS_8.0.3.16000_1033.cab](https://go.microsoft.com/fwlink/?LinkId=836818)|
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|**SQL Server 2016 SP1** |||
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| |Microsoft R Open |[SRO_3.2.2.15000_1033.cab](https://go.microsoft.com/fwlink/?LinkId=824879)|
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| |Microsoft R Server |[SRS_8.0.3.15000_1033.cab](https://go.microsoft.com/fwlink/?LinkId=824881)|
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|**SQL Server 2016 CU4-CU9** |||
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| |Microsoft R Open |[SRO_3.2.2.13000_1033.cab](https://go.microsoft.com/fwlink/?LinkId=831785)|
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| |Microsoft R Server |[SRS_8.0.3.13000_1033.cab](https://go.microsoft.com/fwlink/?LinkId=831676)|
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|**SQL Server 2016 CU2-CU3** |||
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| |Microsoft R Open |[SRO_3.2.2.12000_1033.cab](https://go.microsoft.com/fwlink/?LinkId=827398)|
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| |Microsoft R Server |[SRS_8.0.3.12000_1033.cab](https://go.microsoft.com/fwlink/?LinkId=827399)|
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|**SQL Server 2016 CU1** |||
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| |Microsoft R Open |[SRO_3.2.2.10000_1033.cab](https://go.microsoft.com/fwlink/?LinkId=808803)|
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| |Microsoft R Server |[SRS_8.0.3.10000_1033.cab](https://go.microsoft.com/fwlink/?LinkId=808805)|
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|**SQL Server 2016 RTM** |||
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| |Microsoft R Open |[SRO_3.2.2.803_1033.cab](https://go.microsoft.com/fwlink/?LinkId=761266)|
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| |Microsoft R Server |[SRS_8.0.3.0_1033.cab](https://go.microsoft.com/fwlink/?LinkId=735051)|
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GDR releases of SQL Server will require the same component .cab file versions as the next earlier non-GDR release, such as a CU.
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|Release |Component |Download link |
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|**SQL Server 2016 GDR** | | |
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| | Microsoft R Open |[SRO_3.5.2.777_1033.cab](https://go.microsoft.com/fwlink/?linkid=2134897)|
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| | Microsoft R Server |[SRS_9.4.7.958_1033.cab](https://go.microsoft.com/fwlink/?linkid=2136942)|
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> [!NOTE]
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>
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> When installing SQL Server 2016 SP1 CU4 or SP1 CU5 offline, download SRO_3.2.2.16000_1033.cab. If you downloaded SRO_3.2.2.13000_1033.cab from FWLINK 831785 as indicated in the setup dialog box, rename the file as SRO_3.2.2.16000_1033.cab before installing the Cumulative Update.
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## Related content

docs/machine-learning/install/sql-ml-component-commandline-install.md

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When installing through the command prompt, [!INCLUDE[ssNoVersion](../../includes/ssnoversion-md.md)] supports full quiet mode by using the **/Q** parameter, or Quiet Simple mode by using the **/QS** parameter. The **/QS** switch only shows progress, does not accept any input, and displays no error messages if encountered. The **/QS** parameter is only supported when **/Action=install** is specified.
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### Command line arguments for SQL Server 2016
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| Arguments | Description |
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| /FEATURES = AdvancedAnalytics | Installs the in-database version: SQL Server R Services (In-Database). |
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| /FEATURES = SQL_SHARED_MR | Installs the R feature for the standalone version: SQL Server R Server (Standalone). A standalone server is a "shared feature" not bound to a database engine instance.|
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| /IACCEPTROPENLICENSETERMS | Indicates you have accepted the license terms for using the open source R components. |
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| /IACCEPTPYTHONLICENSETERMS | Indicates you have accepted the license terms for using the Python components. |
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| /IACCEPTSQLSERVERLICENSETERMS | Indicates you have accepted the license terms for using SQL Server.|
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| /MRCACHEDIRECTORY | For offline setup, sets the folder containing the R component CAB files. |
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### Command line arguments for SQL Server 2017
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```
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### SQL Server R Services: database engine and advanced analytics with R
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For a concurrent installation of the database engine instance, provide the instance name and an administrator (Windows) login. Include features for installing core and language components, as well as acceptance of all licensing terms.
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```cmd
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Setup.exe /qs /ACTION=Install /FEATURES=SQLEngine,ADVANCEDANALYTICS,SQL_INST_MR
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## <a name="post-install"></a> Post-installation configuration (required)
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Applies to in-database installations only.
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1. SQL Server Machine Learning Services: Enable external scripts before you can use the feature. Follow the instructions in [Install SQL Server Machine Learning Services (In-Database)](sql-machine-learning-services-windows-install.md) as your next step.
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1. Restart the database engine service.
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1. SQL Server R Services: Enable external scripts before you can use the feature. Follow the instructions in [Install SQL Server R Services (In-Database)](sql-r-services-windows-install.md) as your next step.
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## <a name="add-existing"></a> Add advanced analytics to an existing database engine instance
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SQL Server R Server is R-only:
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When SQL Setup for [!INCLUDE[sssql16-md](../../includes/sssql16-md.md)], [!INCLUDE[sssql17-md](../../includes/sssql17-md.md)], and [!INCLUDE[sssql19-md](../../includes/sssql19-md.md)] is finished, you have a server, Microsoft packages, open-source distributions of R and Python, tools, samples, and scripts that are part of the distribution.
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Beginning with [!INCLUDE [sssql22-md](../../includes/sssql22-md.md)], runtimes for R, Python, and Java, are no longer installed with SQL Setup. Instead, install your desired R and/or Python custom runtime(s) and packages. For more information, see [Install SQL Server 2022 Machine Learning Services on Windows](sql-machine-learning-services-windows-install-sql-2022.md) or [Install SQL Server Machine Learning Services (Python and R) on Linux](../../linux/sql-server-linux-setup-machine-learning.md).

docs/machine-learning/install/sql-ml-component-install-without-internet-access.md

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On an isolated server, machine learning and R language-specific features are added through CAB files.
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## SQL Server 2016 offline install
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SQL Server 2016 in-database analytics is R-only, with just two CAB files for product packages and Microsoft's distribution of open-source R, respectively. Start by installing any one of these releases: RTM, SP 1, SP 2. Once a base installation is in place, cumulative updates can be applied as a next step.
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On a computer having an internet connection, download the CAB files used by setup to install in-database analytics on SQL Server 2016.
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### 1 - Download 2016 CABs
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**SQL Server 2016 RTM** | [SRO_3.2.2.803_1033.cab](https://go.microsoft.com/fwlink/?LinkId=761266) |[SRS_8.0.3.0_1033.cab](https://go.microsoft.com/fwlink/?LinkId=735051) |
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**SQL Server 2016 SP 1** | [SRO_3.2.2.15000_1033.cab](https://go.microsoft.com/fwlink/?LinkId=824879) |[SRS_8.0.3.15000_1033.cab](https://go.microsoft.com/fwlink/?LinkId=824881) |
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**SQL Server 2016 SP 2** |[SRO_3.2.2.16000_1033.cab](https://go.microsoft.com/fwlink/?LinkId=866039) |[SRS_8.0.3.17000_1033.cab](https://go.microsoft.com/fwlink/?LinkId=850317) |
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### 2 - SQL Server 2016 installation media
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You can install SQL Server 2016 RTM, SP 1, or SP 2 as your first installation on the target computer. Any of these versions can accept a cumulative update. Locate the SQL Server 2016 Setup application in your installation media.
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1. On an internet connected device, go to the cumulative update list for your version of SQL Server. [See Determine the version, edition, and update level of SQL Server and its components](/troubleshoot/sql/general/determine-version-edition-update-level).
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## Related content
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- [Install SQL Server Machine Learning Services (Python and R) on Windows](sql-machine-learning-services-windows-install.md)

docs/machine-learning/install/sql-pretrained-models-install.md

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[SQL Server Machine Learning Services](sql-machine-learning-services-windows-install.md) includes both language versions of the machine learning library, so this prerequisite is met with no further action on your part. Because the libraries are present, you can use the PowerShell script described in this article to add the pretrained models to these libraries.
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[MicrosoftML R package](../r/ref-r-microsoftml.md) contain the pretrained models.
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[SQL Server R Services](sql-r-services-windows-install.md), which is R only, does not include [MicrosoftML package](../r/ref-r-microsoftml.md) out of the box. To add MicrosoftML, you must do a [component upgrade](upgrade-r-and-python.md). One advantage of the component upgrade is that you can simultaneously add the pretrained models, which makes running the PowerShell script unnecessary. However, if you already upgraded but missed adding the pretrained models the first time around, you can run the PowerShell script as described in this article. It works for both versions of SQL Server. Before you do, confirm that the MicrosoftML library exists at `C:\Program Files\Microsoft SQL Server\MSSQL13.MSSQLSERVER\R_SERVICES\library`.
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<a name="file-location"></a>
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## Check whether pretrained models are installed

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