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docs/linux/quickstart-install-connect-red-hat.md

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@@ -338,7 +338,7 @@ To configure [!INCLUDE [ssnoversion-md](../includes/ssnoversion-md.md)] on RHEL
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1. Download the [!INCLUDE [sssql25-md](../includes/sssql25-md.md)] Red Hat 9 repository configuration file:
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```bash
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sudo curl -o /etc/yum.repos.d/mssql-server.repo https://packages.microsoft.com/config/rhel/9/mssql-server-preview.repo
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sudo curl -o /etc/yum.repos.d/mssql-server.repo https://packages.microsoft.com/config/rhel/9/mssql-server-2025.repo
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```
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> [!TIP]

docs/linux/quickstart-install-connect-ubuntu.md

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1. Manually download and register the [!INCLUDE [ssnoversion-md](../includes/ssnoversion-md.md)] Ubuntu repository:
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```bash
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curl -fsSL https://packages.microsoft.com/config/ubuntu/22.04/mssql-server-preview.list | sudo tee /etc/apt/sources.list.d/mssql-server-preview.list
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curl -fsSL https://packages.microsoft.com/config/ubuntu/22.04/mssql-server-2025.list | sudo tee /etc/apt/sources.list.d/mssql-server-2025.list
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```
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> [!TIP]

docs/linux/sql-server-linux-ssis-known-issues.md

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author: lrtoyou1223
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ms.author: lle
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ms.reviewer: maghan, randolphwest
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ms.date: 07/03/2025
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ms.date: 11/19/2025
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ms.service: sql
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ms.subservice: linux
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ms.topic: troubleshooting-known-issue
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- Azure Feature Pack for SSIS
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- Hadoop and HDFS support
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- Microsoft Connector for SAP BW
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- SSIS isn't available for [!INCLUDE [sssql25-md](../includes/sssql25-md.md)] on Linux
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For other limitations and known issues with SSIS on Linux, see [SQL Server on Linux: Known issues](sql-server-linux-known-issues.md#sql-server-integration-services-ssis).
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- If you don't provide a path, the log provider writes to the current directory of the host. If the current user doesn't have permission to write to the current directory of the host, the log provider raises an error.
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- You can't use an environment variable in a file path. If you specify an environment variable, the literal text that you specify appears in the file path. For example, if you specify `%TMP%/log.txt`, the log provider appends the literal text `/%TMP%/log.txt` to the current host directory.
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## Python 3 support
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Python 3 is supported in [!INCLUDE [sssql22-md](../includes/sssql22-md.md)] Cumulative Update 21 and later versions. For more information, see [Release notes for SQL Server 2022 on Linux](sql-server-linux-release-notes-2022.md).
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| Distribution | Package name | Package version |
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| --- | --- | --- |
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| RHEL 8 | SSIS | 16.0.4215.2-3 |
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| RHEL 9 | SSIS | 16.0.4215.2-3 |
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| Ubuntu 20.04 | SSIS | 16.0.4215.2-3 |
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| Ubuntu 22.04 | SSIS | 16.0.4215.2-3 |
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## Related content
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- [Extract, transform, and load data on Linux with SSIS](sql-server-linux-migrate-ssis.md)

docs/sql-server/what-s-new-in-sql-server-2025.md

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| New feature or update | Details |
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| --- | --- |
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| [Copilot in SQL Server Management Studio](/ssms/copilot/copilot-in-ssms-overview) | Ask questions. Get answers from your data. |
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| [GitHub Copilot in SQL Server Management Studio](/ssms/github-copilot/overview) | Ask questions. Get answers from your data. |
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| [Vector data type](../t-sql/data-types/vector-data-type.md) | Store vector data optimized for operations such as similarity search and machine learning applications. Vectors are stored in an optimized binary format but are exposed as JSON arrays for convenience. Each element of the vector can be stored either using a single-precision (4-byte) or half-precision (2-byte) floating-point value. |
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| [Vector functions](../t-sql/functions/vector-functions-transact-sql.md) | New scalar functions perform operations on vectors in binary format, allowing applications to store and manipulate vectors in the SQL Database Engine. |
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| [Vector index](ai/vectors.md#vector-search) | Create and manage approximate vector indexes to quickly and efficiently find similar vectors to a given reference vector.<br /><br />Query vector indexes from [sys.vector_indexes](../relational-databases/system-catalog-views/sys-vector-indexes-transact-sql.md). Requires [PREVIEW_FEATURES database scoped configuration](../t-sql/statements/alter-database-scoped-configuration-transact-sql.md#preview-features). |

docs/t-sql/functions/vector-search-transact-sql.md

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- "vector, search"
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dev_langs:
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monikerRange: "=sql-server-ver17 || =sql-server-linux-ver17"
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monikerRange: "=sql-server-ver17 || =sql-server-linux-ver17 || =azuresqldb-current || =fabric-sqldb"
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---
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# VECTOR_SEARCH (Transact-SQL) (Preview)
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[!INCLUDE [sqlserver2025](../../includes/applies-to-version/sqlserver2025.md)]
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[!INCLUDE [sqlserver2025-asdb-fabricsqldb](../../includes/applies-to-version/sqlserver2025-asdb-fabricsqldb.md)]
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Search for vectors similar to a given query vectors using an approximate nearest neighbors vector search algorithm. To learn more about how vector indexing and vector search works, and the differences between exact and approximate search, refer to [Vector search and vector indexes in the SQL Database Engine](../../sql-server/ai/vectors.md).
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## Preview feature
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## Azure SQL Database and SQL database in Fabric
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This function is in preview and is subject to change. In order to use this feature, you must enable the `PREVIEW_FEATURES` [database scoped configuration](../statements/alter-database-scoped-configuration-transact-sql.md).
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The feature is in preview. Make sure to check out the [current limitations](#limitations) before using it.
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[!INCLUDE [preview-note](../../includes/preview.md)]
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## SQL Server 2025 Preview feature
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In SQL Server 2025 this function is in preview and is subject to change. In order to use this feature, you must enable the `PREVIEW_FEATURES` [database scoped configuration](../statements/alter-database-scoped-configuration-transact-sql.md).
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Make sure to check out the [current limitations](#limitations) before using it.
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docs/t-sql/queries/from-transact-sql.md

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}
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<join_type> ::=
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[ INNER ] [ <join hint> ] JOIN
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[ INNER ] [ <join_hint> ] JOIN
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docs/t-sql/statements/create-external-table-as-select-transact-sql.md

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CREATE TABLE, DROP TABLE, CREATE STATISTICS, DROP STATISTICS, CREATE VIEW, and DROP VIEW are the only data definition language (DDL) operations allowed on external tables.
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> [!NOTE]
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> You can't use LOBs larger than **1 MB** with CETAS.
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### Limitations and restrictions for Azure Synapse Analytics
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- In [!INCLUDE [ssazuresynapse-md](../../includes/ssazuresynapse-md.md)] dedicated SQL pools, and [!INCLUDE [ssaps-md](../../includes/ssaps-md.md)], PolyBase can consume a maximum of 33,000 files per folder when running 32 concurrent PolyBase queries. This maximum number includes both files and subfolders in each HDFS folder. If the degree of concurrency is less than 32, a user can run PolyBase queries against folders in HDFS that contain more than 33,000 files. We recommend that users of Hadoop and PolyBase keep file paths short and use no more than 30,000 files per HDFS folder. When too many files are referenced, a JVM out-of-memory exception occurs.

docs/t-sql/statements/create-vector-index-transact-sql.md

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# CREATE VECTOR INDEX (Transact-SQL)
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# CREATE VECTOR INDEX (Transact-SQL) (Preview)
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[!INCLUDE [sqlserver2025](../../includes/applies-to-version/sqlserver2025.md)]
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[!INCLUDE [sqlserver2025-asdb-fabricsqldb](../../includes/applies-to-version/sqlserver2025-asdb-fabricsqldb.md)]
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Create an approximate index on a vector column to improve performances of nearest neighbors search. To learn more about how vector indexing and vector search works, and the differences between exact and approximate search, refer to [Vector search and vector indexes in the SQL Database Engine](../../sql-server/ai/vectors.md).
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## Preview feature
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## Azure SQL Database and SQL database in Fabric
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The feature is in preview. Make sure to check out the [current limitations](#limitations) before using it.
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[!INCLUDE [preview-note](../../includes/preview.md)]
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## SQL Server 2025 Preview feature
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In SQL Server 2025 this function is in preview and is subject to change. In order to use this feature, you must enable the `PREVIEW_FEATURES` [database scoped configuration](alter-database-scoped-configuration-transact-sql.md).
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Make sure to check out the [current limitations](#limitations) before using it.
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