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docs/advanced-analytics/r/set-up-a-data-science-client.md

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2. Confirm RevoScaleR is operational by running this command, which returns statistical summary on a demo dataset. Make sure you provide a valid server name for the SQL Server database engine instance.
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```r
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connStr <- "Driver=SQL Server;Server=<your-server-name>;Database=TaxiNYC_Sample;Trusted_Connection=true"
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connStr <- "Driver=SQL Server;Server=<your-server-name>;Database=NYCTaxi_Sample;Trusted_Connection=true"
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testQuery <-"SELECT DISTINCT TOP(100) tip_amount FROM [dbo].nyctaxi_sample ORDER BY tip_amount DESC;"
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cc <-RxInSqlServer(connectionString=connStr)
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rxSummary(formula = ~ ., data = RxSqlServerData(sqlQuery=testQuery, connectionString=connStr), computeContext=cc)

docs/advanced-analytics/tutorials/sqldev-download-the-sample-data.md

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|**Object name**|**Object type**|**Description**|
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|----------|------------------------|---------------|
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|**TaxiNYC_Sample** | database |Created by the create-db-tb-upload-data.sql script. Creates a database and two tables:<br /><br />dbo.nyctaxi_sample table: Contains the main NYC Taxi dataset. A clustered columnstore index is added to the table to improve storage and query performance. The 1% sample of the NYC Taxi dataset is inserted into this table.<br /><br />dbo.nyc_taxi_models table: Used to persist the trained advanced analytics model.|
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|**NYCTaxi_Sample** | database |Created by the create-db-tb-upload-data.sql script. Creates a database and two tables:<br /><br />dbo.nyctaxi_sample table: Contains the main NYC Taxi dataset. A clustered columnstore index is added to the table to improve storage and query performance. The 1% sample of the NYC Taxi dataset is inserted into this table.<br /><br />dbo.nyc_taxi_models table: Used to persist the trained advanced analytics model.|
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|**fnCalculateDistance** |scalar-valued function | Created by the fnCalculateDistance.sql script. Calculates the direct distance between pickup and dropoff locations. This function is used in [Create data features](sqldev-create-data-features-using-t-sql.md), [Train and save a model](../r/sqldev-train-and-save-a-model-using-t-sql.md) and [Operationalize the R model](sqldev-operationalize-the-model.md).|
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|**fnEngineerFeatures** |table-valued function | Created by the fnEngineerFeatures.sql script. Creates new data features for model training. This function is used in [Create data features](sqldev-create-data-features-using-t-sql.md) and [Operationalize the R model](sqldev-operationalize-the-model.md).|
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|**PlotHistogram** |stored procedure | Created by the PlotHistogram.sql script. Calls an R function to plot the histogram of a variable and then returns the plot as a binary object. This stored procedure is used in [Explore and visualize data](sqldev-explore-and-visualize-the-data.md).|

docs/advanced-analytics/tutorials/sqldev-explore-and-visualize-the-data.md

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2. Open a PowerShell command prompt and run the following command, providing the appropriate instance name, database name, username, and credentials as arguments. For those using Windows identities, you can replace **-U** and **-P** with **-T**.
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```text
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bcp "exec PlotHistogram" queryout "plot.jpg" -S <SQL Server instance name> -d TaxiNYC_Sample -U <user name> -P <password>
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bcp "exec PlotHistogram" queryout "plot.jpg" -S <SQL Server instance name> -d NYCTaxi_Sample -U <user name> -P <password>
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```
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> [!NOTE]

docs/advanced-analytics/tutorials/sqldev-in-database-r-for-sql-developers.md

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In this tutorial for SQL programmers, you gain hands-on experience using the R language to build and deploy a machine learning solution by wrapping R code in stored procedures.
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This tutorial uses a well-known public dataset, based on trips in New York city taxis. To make the sample code run quicker, we created a representative 1% sampling of the data. You'll use this data to build a binary classification model that predicts whether a particular trip is likely to get a tip or not, based on columns such as the time of day, distance, and pick-up location.
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This tutorial uses a well-known public dataset, based on trips in New York City taxis. To make the sample code run quicker, we created a representative 1% sampling of the data. You'll use this data to build a binary classification model that predicts whether a particular trip is likely to get a tip or not, based on columns such as the time of day, distance, and pick-up location.
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> [!NOTE]
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>

docs/relational-databases/collations/view-collation-information.md

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# View Collation Information
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[!INCLUDE[appliesto-ss-asdb-xxxx-xxx-md](../../includes/appliesto-ss-asdb-xxxx-xxx-md.md)]
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## <a name="Top"></a> You can view the collation of a server, database, or column in [!INCLUDE[ssManStudioFull](../../includes/ssmanstudiofull-md.md)] using Object Explorer menu options or by using [!INCLUDE[tsql](../../includes/tsql-md.md)].
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<a name="Top"></a> You can view the collation of a server, database, or column in [!INCLUDE[ssManStudioFull](../../includes/ssmanstudiofull-md.md)] using Object Explorer menu options or by using [!INCLUDE[tsql](../../includes/tsql-md.md)].
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## <a name="Procedures"></a> How to View a Collation Setting
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You can use one of the following:
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2. In the query window, enter the following statement that uses the SERVERPROPERTY system function.
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```
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```sql
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SELECT CONVERT (varchar, SERVERPROPERTY('collation'));
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```
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3. Alternatively, you can use the sp_helpsort system stored procedure.
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```
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```sql
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EXECUTE sp_helpsort;
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2. In the query window, enter the following statement that uses the SERVERPROPERTY system function.
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```
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```sql
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2. In the query window, enter the following statement that uses the sys.databases system catalog view.
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```
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```sql
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```
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3. Alternatively, you can use the DATABASEPROPERTYEX system function.
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```
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```sql
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SELECT CONVERT (varchar, DATABASEPROPERTYEX('database_name','collation'));
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2. In the query window, enter the following statement that uses the sys.columns system catalog view.
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```
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```sql
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[sys.databases &#40;Transact-SQL&#41;](../../relational-databases/system-catalog-views/sys-databases-transact-sql.md)
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[sys.columns &#40;Transact-SQL&#41;](../../relational-databases/system-catalog-views/sys-columns-transact-sql.md)
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[Collation Precedence &#40;Transact-SQL&#41;](../../t-sql/statements/collation-precedence-transact-sql.md)
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[Collation and Unicode Support](../../relational-databases/collations/collation-and-unicode-support.md)
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[sp_helpsort &#40;Transact-SQL&#41;](../../relational-databases/system-stored-procedures/sp-helpsort-transact-sql.md)
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docs/relational-databases/errors-events/database-engine-events-and-errors.md

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| 2812 | 16 | No | Could not find stored procedure '%.*ls'. |
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| 2813 | 16 | No | %.*ls is not supported on this edition of SQL Server. |
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| [2814](mssqlserver-2814-database-engine-error.md) | 10 | No | A possible infinite recompile was detected for SQLHANDLE %hs, PlanHandle %hs, starting offset %d, ending offset %d. The last recompile reason was %d. |
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| 2628 | 16 | No | String or binary data would be truncated in table '%.*ls', column '%.*ls'. Truncated value: '%.*ls'. |
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| &nbsp; | &nbsp; |&nbsp; | &nbsp; |
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## Errors 3000 - 3999

docs/reporting-services/change-log-sql-server-reporting-services.md

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## SQL Server 2017 Reporting Services
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### Version 14.0.600.906, Released: September 12, 2018
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This bug has been fixed:
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- Custom Authentication not returning correct cookie information
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### Version 14.0.600.892, Released: August 31, 2018
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These bugs have been fixed:

docs/sql-server/sql-server-ver15-release-notes.md

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manager: "craigg"
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---
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# SQL Server 2019 Release Notes
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# SQL Server 2019 preview release notes
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[!INCLUDE[tsql-appliesto-ssver15-xxxx-xxxx-xxx](../includes/tsql-appliesto-ssver15-xxxx-xxxx-xxx.md)]
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This article describes limitations and known issues for the [!INCLUDE[SQL Server 2019](../includes/sssqlv15-md.md)] Community Technology Preview (CTP) releases. For related information, see:
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- [What's New in SQL Server 2019](../sql-server/what-s-new-in-sql-server-ver15.md)
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**Try [!INCLUDE[SQL Server 2019](../includes/sssqlv15-md.md)] !**
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>[!NOTE]
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>Preview releases of SQL Server are made available for you to experience the features of the upcoming release. They are not supported or licensed for production use. The following scenarios are explicitly unsupported:
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>
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> - Side-by-side installation with other versions of SQL Server
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> - Uninstallation
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> - Upgrade from a previous edition of SQL Server
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**Try [!INCLUDE[SQL Server 2019](../includes/sssqlv15-md.md)]!**
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- [![Download from Evaluation Center](../includes/media/download2.png)](http://go.microsoft.com/fwlink/?LinkID=829477) [Download [!INCLUDE[SQL Server 2019](../includes/sssqlv15-md.md)] to install on Windows](http://go.microsoft.com/fwlink/?LinkID=829477)
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- Install on Linux for [Red Hat Enterprise Server](../linux/quickstart-install-connect-red-hat.md), [SUSE Linux Enterprise Server](../linux/quickstart-install-connect-suse.md), and [Ubuntu](../linux/quickstart-install-connect-ubuntu.md).
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- [Run on SQL Server 2019 on Docker](../linux/quickstart-install-connect-docker.md).
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[!INCLUDE[SQL Server 2019](../includes/sssqlv15-md.md)] CTP 2.0 is the first public release of [!INCLUDE[SQL Server 2019](../includes/sssqlv15-md.md)].
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### Documentation (CTP 2.0)
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- **Issue and customer impact**: Documentation for SQL Server 2019 (15.x) is limited and content is included with the SQL Server 2017 (14.x) documentation set. Content in articles that is specific to SQL Server 2019 (15.x) is noted with **Applies To**.
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- **Issue and customer impact**: SQL Server documentation can be filtered by version. Use the control at the top left of each documentation page to filter for your requirements.
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- **Issue and customer impact**: No offline content is available for SQL Server 2019 (15.x).
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### Hardware and software requirements
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- **Issue and customer impact**: Hardware and software requirements are still being reviewed and not final for the product release.
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- **Hardware**
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- [Windows - processor, memory, and operating system requirements](../sql-server/install/hardware-and-software-requirements-for-installing-sql-server.md#pmosr)
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- [Linux - system requirements](../linux/sql-server-linux-setup.md#system)
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- **Software**
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- Windows Server 2016 or later. For additional requirements, see [Requirements for Installing SQL Server](../sql-server/install/hardware-and-software-requirements-for-installing-sql-server.md)
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- For Linux, refer to [Linux - supported platforms](../linux/sql-server-linux-setup.md#supportedplatforms)
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### SQL Graph
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**Issue and customer impact**: Tools which have dependency on DacFx like import-export will not work for the new graph features - Edge Constraints or Merge DML. Scripting in SSMS may not work.

docs/sql-server/what-s-new-in-sql-server-ver15.md

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Cryptographic operations (encrypting columns, rotating columns encryption keys, etc.), can now be issued using Transact-SQL and do not require moving data out of the database. Secure enclaves unlock Always Encrypted to a much broader set of scenarios and applications that demand sensitive data to be protected in use, while also requiring rich computations on protected data to be supported within the database system. For details, see [Always Encrypted with secure enclaves](../relational-databases/security/encryption/always-encrypted-enclaves.md).
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>Always Encrypted with secure enclaves applies to instances of SQL Server on Windows OS.
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>Always Encrypted with secure enclaves is only available on Windows OS.
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>It requires ADO.NET 4.7.2. See [Configure Always Encrypted with secure enclaves](../relational-databases/security/encryption/configure-always-encrypted-enclaves.md) for complete requirements.
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### <a id="sqlgraph"></a> SQL Graph features
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