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Copy file name to clipboardExpand all lines: docs/linux/quickstart-install-connect-red-hat.md
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title: Get started with SQL Server on Red Hat Enterprise Linux | Microsoft Docs
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description: This quickstart shows how to install SQL Server 2017 or SQL Server vNext on Red Hat Enterprise Linux and then create and query a database with sqlcmd.
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description: This quickstart shows how to install SQL Server 2017 or SQL Server 2019 on Red Hat Enterprise Linux and then create and query a database with sqlcmd.
In this quickstart, you install SQL Server 2017 or SQL Server vNext on Red Hat Enterprise Linux (RHEL) 7.3+. You then connect with **sqlcmd** to create your first database and run queries.
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In this quickstart, you install SQL Server 2017 or SQL Server 2019 on Red Hat Enterprise Linux (RHEL) 7.3+. You then connect with **sqlcmd** to create your first database and run queries.
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> [!TIP]
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> This tutorial requires user input and an internet connection. If you are interested in the [unattended](sql-server-linux-setup.md#unattended) or [offline](sql-server-linux-setup.md#offline) installation procedures, see [Installation guidance for SQL Server on Linux](sql-server-linux-setup.md).
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To install Red Hat Enterprise Linux on your own machine, go to [http://access.redhat.com/products/red-hat-enterprise-linux/evaluation](http://access.redhat.com/products/red-hat-enterprise-linux/evaluation). You can also create RHEL virtual machines in Azure. See [Create and Manage Linux VMs with the Azure CLI](https://docs.microsoft.com/azure/virtual-machines/linux/tutorial-manage-vm), and use `--image RHEL` in the call to `az vm create`.
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If you have previously installed a CTP or RC release of SQL Server 2017, you must first remove the old repository before following these steps. For more information, see [Configure Linux repositories for SQL Server 2017 and vNext](sql-server-linux-change-repo.md).
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If you have previously installed a CTP or RC release of SQL Server 2017, you must first remove the old repository before following these steps. For more information, see [Configure Linux repositories for SQL Server 2017 and 2019 ](sql-server-linux-change-repo.md).
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For other system requirements, see [System requirements for SQL Server on Linux](sql-server-linux-setup.md#system).
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```
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> [!TIP]
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> If you want to try SQL Server vNext, you must instead register the **Preview (vNext)** repository. Use the following command for SQL Server vNext installations:
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> If you want to try SQL Server 2019 , you must instead register the **Preview (2019)** repository. Use the following command for SQL Server 2019 installations:
Copy file name to clipboardExpand all lines: docs/linux/quickstart-install-connect-suse.md
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title: Get started with SQL Server on SUSE Linux Enterprise Server | Microsoft Docs
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description: This quickstart shows how to install SQL Server 2017 or SQL Server vNext on SUSE Linux Enterprise Server and then create and query a database with sqlcmd.
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description: This quickstart shows how to install SQL Server 2017 or SQL Server 2019 on SUSE Linux Enterprise Server and then create and query a database with sqlcmd.
In this quickstart, you install SQL Server 2017 or SQL Server vNext on SUSE Linux Enterprise Server (SLES) v12 SP2. You then connect with **sqlcmd** to create your first database and run queries.
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In this quickstart, you install SQL Server 2017 or SQL Server 2019 on SUSE Linux Enterprise Server (SLES) v12 SP2. You then connect with **sqlcmd** to create your first database and run queries.
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> [!TIP]
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> This tutorial requires user input and an internet connection. If you are interested in the [unattended](sql-server-linux-setup.md#unattended) or [offline](sql-server-linux-setup.md#offline) installation procedures, see [Installation guidance for SQL Server on Linux](sql-server-linux-setup.md).
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To install SUSE Linux Enterprise Server on your own machine, go to [https://www.suse.com/products/server](https://www.suse.com/products/server). You can also create SLES virtual machines in Azure. See [Create and Manage Linux VMs with the Azure CLI](https://docs.microsoft.com/azure/virtual-machines/linux/tutorial-manage-vm), and use `--image SLES` in the call to `az vm create`.
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If you have previously installed a CTP or RC release of SQL Server 2017, you must first remove the old repository before following these steps. For more information, see [Configure Linux repositories for SQL Server 2017 and vNext](sql-server-linux-change-repo.md).
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If you have previously installed a CTP or RC release of SQL Server 2017, you must first remove the old repository before following these steps. For more information, see [Configure Linux repositories for SQL Server 2017 and 2019 ](sql-server-linux-change-repo.md).
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> [!NOTE]
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> At this time, the [Windows Subsystem for Linux](https://msdn.microsoft.com/commandline/wsl/about) for Windows 10 is not supported as an installation target.
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```
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> [!TIP]
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> If you want to try SQL Server vNext, you must instead register the **Preview (vNext)** repository. Use the following command for SQL Server vNext installations:
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> If you want to try SQL Server 2019 , you must instead register the **Preview (2019)** repository. Use the following command for SQL Server 2019 installations:
In this quickstart, you install SQL Server 2017 or SQL Server vNext on Ubuntu 16.04. You then connect with **sqlcmd** to create your first database and run queries.
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In this quickstart, you install SQL Server 2017 or SQL Server 2019 on Ubuntu 16.04. You then connect with **sqlcmd** to create your first database and run queries.
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> [!TIP]
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> This tutorial requires user input and an internet connection. If you are interested in the [unattended](sql-server-linux-setup.md#unattended) or [offline](sql-server-linux-setup.md#offline) installation procedures, see [Installation guidance for SQL Server on Linux](sql-server-linux-setup.md).
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```
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> [!TIP]
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> If you want to try SQL Server vNext, you must instead register the **Preview (vNext)** repository. Use the following command for SQL Server vNext installations:
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> If you want to try SQL Server 2019 , you must instead register the **Preview (2019)** repository. Use the following command for SQL Server 2019 installations:
# Always On availability groups for SQL Server containers
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SQL Server vNext supports availability groups on containers in a Kubernetes. For availability groups, deploy the SQL Server [Kubernetes operator](http://coreos.com/blog/introducing-operators.html) to your Kubernetes cluster. The operator helps package, deploy, and manage the availability group in a cluster.
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SQL Server 2019 supports availability groups on containers in a Kubernetes. For availability groups, deploy the SQL Server [Kubernetes operator](http://coreos.com/blog/introducing-operators.html) to your Kubernetes cluster. The operator helps package, deploy, and manage the availability group in a cluster.
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Copy file name to clipboardExpand all lines: docs/linux/sql-server-linux-change-repo.md
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title: Configure Linux repositories for SQL Server 2017 and vNext | Microsoft Docs
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description: Check and configure source repositories for SQL Server vNext and SQL Server 2017 on Linux. The source repository affects the version of SQL Server that is applied during installation and upgrade.
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title: Configure Linux repositories for SQL Server 2017 and 2019 | Microsoft Docs
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description: Check and configure source repositories for SQL Server 2019 and SQL Server 2017 on Linux. The source repository affects the version of SQL Server that is applied during installation and upgrade.
This article describes how to configure the correct repository for SQL Server 2017 and SQL Server vNext installations and upgrades on Linux.
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This article describes how to configure the correct repository for SQL Server 2017 and SQL Server 2019 installations and upgrades on Linux.
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> [!TIP]
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> SQL Server nNext CTP 1.4 is now available! To try it, use this article to configure the new **mssql-server-preview** repository. Then upgrade or install using the instructions in the [installation guide](sql-server-linux-setup.md).
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| Repository | Name | Description |
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|---|---|---|
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|**Preview (2017)**|**mssql-server**| SQL Server 2017 CTP and RC repository (discontinued). |
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|**Preview (vNext)**|**mssql-server-preview**| SQL Server vNext CTP and RC repository. |
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|**Preview (2019)**|**mssql-server-preview**| SQL Server 2019 CTP and RC repository. |
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|**CU**|**mssql-server-2017**| SQL Server 2017 Cumulative Update (CU) repository. |
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|**GDR**|**mssql-server-2017-gdr**| SQL Server 2017 GDR repository for critical updates only. |
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Copy file name to clipboardExpand all lines: docs/linux/sql-server-linux-container-ha-overview.md
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## A SQL Server Always On availability group on SQL Server containers in Kubernetes
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SQL Server vNext supports availability groups on containers in a Kubernetes. For availability groups, deploy the SQL Server [Kubernetes operator](http://coreos.com/blog/introducing-operators.html) to your Kubernetes cluster. The operator helps package, deploy, and manage the availability group in a cluster.
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SQL Server 2019 supports availability groups on containers in a Kubernetes. For availability groups, deploy the SQL Server [Kubernetes operator](http://coreos.com/blog/introducing-operators.html) to your Kubernetes cluster. The operator helps package, deploy, and manage the availability group in a cluster.
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Copy file name to clipboardExpand all lines: docs/relational-databases/security/permissions-database-engine.md
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|DATABASE|ALTER ANY ROUTE|ALRT|SERVER|CONTROL SERVER|
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|DATABASE|ALTER ANY SCHEMA|ALSM|SERVER|CONTROL SERVER|
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|DATABASE|ALTER ANY SECURITY POLICY|ALSP<br /><br /> Applies to [!INCLUDE[ssNoVersion](../../includes/ssnoversion-md.md)] ([!INCLUDE[ssSQL15](../../includes/sssql15-md.md)] through current), [!INCLUDE[ssSDS](../../includes/sssds-md.md)].|SERVER|CONTROL SERVER|
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|DATABASE|ALTER ANY SENSITIVITY CLASSIFICATION|ALSP<br />Applies to [!INCLUDE[ssNoVersion](../../includes/ssnoversion-md.md)] (SQL Server vNext (15.x) through current), SQL Database.|DATABASE|CONTROL SERVER|
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|DATABASE|ALTER ANY SENSITIVITY CLASSIFICATION|ALSP<br />Applies to [!INCLUDE[ssNoVersion](../../includes/ssnoversion-md.md)] (SQL Server 2019 (15.x) through current), SQL Database.|DATABASE|CONTROL SERVER|
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|DATABASE|ALTER ANY SERVICE|ALSV|SERVER|CONTROL SERVER|
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|DATABASE|ALTER ANY SYMMETRIC KEY|ALSK|SERVER|CONTROL SERVER|
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|DATABASE|ALTER ANY USER|ALUS|SERVER|CONTROL SERVER|
Applies to SQL Server vNext only and is used to build per-partition models. Specifies the name of the column used to order the result set, for example by product name. The data type of the variable in the external script depends on the language. In case of R, the input variable is a data frame. In the case of Python, input must be tabular.
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Applies to SQL Server 2019 only and is used to build per-partition models. Specifies the name of the column used to order the result set, for example by product name. The data type of the variable in the external script depends on the language. In case of R, the input variable is a data frame. In the case of Python, input must be tabular.
Applies to SQL Server vNext only and is used to build per-partition models. Specifies the name of the column used to segment data, such as geographic region or date. The data type of the variable in the external script depends on the language. In case of R, the input variable is a data frame. In the case of Python, input must be tabular.
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Applies to SQL Server 2019 only and is used to build per-partition models. Specifies the name of the column used to segment data, such as geographic region or date. The data type of the variable in the external script depends on the language. In case of R, the input variable is a data frame. In the case of Python, input must be tabular.
In SQL Server vNext, currently in public preview, you can set two additional parameters that enable modeling on partitioned data, where partitions are based on one or more columns you provide that naturally segment a data set into logical partitions created and used only during script execution. Columns containing repeating values for age, gender, geographic region, date or time, are a few examples that lend themselves to partitioned data sets.
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In SQL Server 2019, currently in public preview, you can set two additional parameters that enable modeling on partitioned data, where partitions are based on one or more columns you provide that naturally segment a data set into logical partitions created and used only during script execution. Columns containing repeating values for age, gender, geographic region, date or time, are a few examples that lend themselves to partitioned data sets.
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The two parameters are **input_data_1_partition_by_columns** and **input_data_1_order_by_columns**, where the second parameter is used to order the result set. The parameters are passed as inputs to `sp_execute_external_script` with the external script executing once for every partition. For more information and examples, see [Tutorial: Create partition-based models](https://docs.microsoft.com/sql/advanced-analytics/tutorials/r-tutorial-create-models-per-partition.md).
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