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azure-sql/azure-sql-iaas-vs-paas-what-is-overview.md

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Learn how each product fits into Microsoft's Azure SQL data platform to match the right option for your business requirements. Whether you prioritize cost savings or minimal administration, this article can help you decide which approach delivers against the business requirements you care about most.
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If you're new to Azure SQL, check out the *What is Azure SQL* video from our in-depth [Azure SQL video series](/shows/Azure-SQL-for-Beginners/?WT.mc_id=azuresql4beg_azuresql-ch9-niner):
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> [!VIDEO https://learn.microsoft.com/shows/Azure-SQL-for-Beginners/What-is-Azure-SQL-3-of-61/player]
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<br/>
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> [!VIDEO https://learn.microsoft.com/shows/Azure-SQL-for-Beginners/What-is-Azure-SQL-3-of-61/player]
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## Overview
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docs/azure-data-studio/query-plan-viewer.md

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Azure Data Studio supports capturing both estimated and actual query plans (currently in preview). Query plans provide a graphical display of the data retrieval (or modification) method chosen by the SQL Server Query Optimizer. This visual approach helps understand the performance characteristics of a query.
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[!INCLUDE [azure-data-studio-preview](../includes/azure-data-studio-preview.md)]
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## Display - estimated plan
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To view the estimated plan for a query, highlight the specific query and select the Estimated Plan button.

docs/database-engine/install-windows/choose-a-database-engine-upgrade-method.md

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## Download
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- To download [!INCLUDE[SSnoversion](../../includes/ssnoversion-md.md)], go to **[Evaluation Center](https://www.microsoft.com/evalcenter/evaluate-sql-server)**.
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- To download [!INCLUDE[SSnoversion](../../includes/ssnoversion-md.md)], visit the **[Evaluation Center](https://www.microsoft.com/evalcenter/evaluate-sql-server-2022)**.
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- Have an Azure account? Then go to the **[Azure Marketplace](https://azuremarketplace.microsoft.com/marketplace/apps/microsoftsqlserver.sql2019-ws2019?tab=overview)** to spin up a Virtual Machine with [!INCLUDE[ssnoversion](../../includes/ssnoversion-md.md)] Developer Edition already installed.
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docs/linux/sql-server-linux-configure-time-zone.md

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| Asia/Kuala_Lumpur | Singapore Standard Time |
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| Asia/Kuching | Singapore Standard Time |
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| Asia/Kuwait | Arab Standard Time |
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| Asia/Macau | China Standard Time |
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| Asia/Macao | China Standard Time |
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| Asia/Magadan | Magadan Standard Time |
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| Asia/Makassar | Singapore Standard Time |
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| Asia/Manila | Singapore Standard Time |
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| Asia/Kuala_Lumpur | Singapore Standard Time |
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| Asia/Kuching | Singapore Standard Time |
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| Asia/Kuwait | Arab Standard Time |
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| Asia/Macau | China Standard Time |
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| Asia/Macao | China Standard Time |
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| Asia/Magadan | Magadan Standard Time |
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| Asia/Makassar | Singapore Standard Time |
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| Asia/Manila | Singapore Standard Time |

docs/machine-learning/r/how-to-create-mdx-queries-using-olapr.md

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+ On columns, you can specify multiple measures as elements of a comma-separated string.
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+ The Row axis uses all possible values (all MEMBERS) of the "Product Line" dimension.
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+ This query would return a table with three columns, containing a _rollup_ summary of Internet sales from all countries.
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+ This query would return a table with three columns, containing a _rollup_ summary of Internet sales from all countries/regions.
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+ The WHERE clause specifies the _slicer axis_. In this example, the slicer uses a member of the **SalesTerritory** dimension to filter the query so that only the sales from Australia are used in calculations.
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#### To build this query using the functions provided in olapR

docs/master-data-services/models-master-data-services.md

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- Customer, which could include entities such as gender, education, occupation, and marital status.
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- Geography, which could include entities such as postal codes, cities, counties, states, provinces, regions, territories, countries, and continents.
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- Geography, which could include entities such as postal codes, cities, counties, states, provinces, territories, countries/regions, and continents.
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## Related Tasks
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docs/mdx/ancestor-mdx.md

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FROM [Adventure Works]
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```
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The following example uses a numeric expression and returns the Internet Sales Amount for each State-Province in Australia and its percent of the total Internet Sales Amount for all countries.
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The following example uses a numeric expression and returns the Internet Sales Amount for each State-Province in Australia and its percent of the total Internet Sales Amount for all countries/regions.
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```
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WITH MEMBER Measures.x AS [Measures].[Internet Sales Amount] /

docs/mdx/mdx-data-definition-create-session-cube.md

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- When performing grouping on a cube dimension in a server cube, the grouping affects all cube dimensions based on the same dimension.
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## Example
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The following example demonstrates creating a session-scoped version of the Adventure Works cube that contains the Reseller Sales Amount measure, the Reseller dimension, the Product dimension, the Geography dimension, and the Date dimension. Within this session cube, two groups are created; one group contains countries in Europe and one group contains groups in North America. This sample is a simplified version of a CREATE SESSION CUBE statement issued by Microsoft Excel when a user creates a custom grouping of members.
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The following example demonstrates creating a session-scoped version of the Adventure Works cube that contains the Reseller Sales Amount measure, the Reseller dimension, the Product dimension, the Geography dimension, and the Date dimension. Within this session cube, two groups are created; one group contains countries/regions in Europe and one group contains groups in North America. This sample is a simplified version of a CREATE SESSION CUBE statement issued by Microsoft Excel when a user creates a custom grouping of members.
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```
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CREATE SESSION CUBE [Adventure Works_XL_GROUPING1]

docs/mdx/mdx-data-manipulation-drillthrough.md

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Returns the unary operator of the specified attribute member.
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## Example
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The following example specifies cell for the month of July, 2007 for the reseller sales amount measure (the default measure) for the country of Australia. The RETURN clause specifies that the date of each sale, the product model name, the employee name, the sales amount, the tax amount and the product cost values that underlie this cell be returned.
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The following example specifies cell for the month of July, 2007 for the reseller sales amount measure (the default measure) for Australia. The RETURN clause specifies that the date of each sale, the product model name, the employee name, the sales amount, the tax amount and the product cost values that underlie this cell be returned.
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```
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DRILLTHROUGH

docs/mdx/mdx-data-manipulation-select.md

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Calculated members can be included in \<SELECT query axis clause> whenever the connection was opened using the connection string parameter *subqueries=1*; see [Supported XMLA Properties &#40;XMLA&#41;](/analysis-services/xmla/xml-elements-properties/propertylist-element-supported-xmla-properties) and <xref:Microsoft.AnalysisServices.AdomdClient.AdomdConnection.ConnectionString%2A> for parameter usage. An example is provided on calculated members in subselects.
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## Autoexists
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When two or more attributes of the dimension are used in a SELECT statement, Analysis Services evaluates the attributes' expressions to make sure that the members of those attributes are properly confined to meet the criteria of all other attributes. For example, suppose you are working with attributes from the Geography dimension. If you have one expression that returns all members from the City attribute, and another expression that confines members from the Country attribute to all countries in Europe, then this will result in the City members being confined to only those cities that belong to countries in Europe. This characteristic of Analysis Services is called Autoexists and applies only to attributes in the same dimension. Autoexists only applies to attributes from the same dimension because it tries to prevent the dimension records excluded in one attribute expression from being included by the other attribute expressions. Autoexists can also be understood as the resulting intersection of the different attributes expressions over the dimension records. See the following examples below:
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When two or more attributes of the dimension are used in a SELECT statement, Analysis Services evaluates the attributes' expressions to make sure that the members of those attributes are properly confined to meet the criteria of all other attributes. For example, suppose you are working with attributes from the Geography dimension. If you have one expression that returns all members from the City attribute, and another expression that confines members from the Country attribute to all countries/regions in Europe, then this will result in the City members being confined to only those cities that belong to countries/regions in Europe. This characteristic of Analysis Services is called Autoexists and applies only to attributes in the same dimension. Autoexists only applies to attributes from the same dimension because it tries to prevent the dimension records excluded in one attribute expression from being included by the other attribute expressions. Autoexists can also be understood as the resulting intersection of the different attributes expressions over the dimension records. See the following examples below:
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`//Obtain the Top 10 best reseller selling products by Name`
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