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azure-sql/database/elastic-query-getting-started.md

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---
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title: Report Across Scaled-Out Cloud Databases
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description: Use cross database database queries to report across multiple databases.
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description: Use cross database queries to report across multiple databases.
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author: WilliamDAssafMSFT
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ms.author: wiassaf
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ms.reviewer: bgavrilovic, mathoma
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## Create a shard map manager using the sample app
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Here you will create a shard map manager along with several shards, followed by insertion of data into the shards. If you happen to already have shards setup with sharded data in them, you can skip the following steps and move to the next section.
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Here you'll create a shard map manager along with several shards, followed by insertion of data into the shards. If you happen to already have shards set up with sharded data in them, you can skip the following steps and move to the next section.
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1. Build and run the **Getting started with Elastic Database tools** sample application by following the steps in the article section [Download and run the sample app](elastic-scale-get-started.md#download-and-run-the-sample-app-1). Once you finish all the steps, you will see the following command prompt:
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1. Build and run the **Getting started with Elastic Database tools** sample application by following the steps in the article section [Download and run the sample app](elastic-scale-get-started.md#download-and-run-the-sample-app-1). Once you finish all the steps, you'll see the following command prompt:
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:::image type="content" source="media/elastic-query-getting-started/cmd-prompt.png" alt-text="Screenshot from the command prompt of the Elastic Database Tools starter kit.":::
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## Create an elastic query database
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1. Open the [Azure portal](https://portal.azure.com) and log in.
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1. Open the [Azure portal](https://portal.azure.com) and sign in.
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1. Create a new database in Azure SQL Database in the same server as your shard setup. Name the database `ElasticDBQuery`.
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You can use an existing database. If you can do so, it must not be one of the shards that you would like to execute your queries on. This database will be used for creating the metadata objects for an elastic database query.
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You can use an existing database. If you can do so, it must not be one of the shards that you would like to execute your queries on. This database is used for creating the metadata objects for an elastic database query.
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## Create database objects
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## Execute a sample elastic database T-SQL query
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Once you have defined your external data source and your external tables you can now use full T-SQL over your external tables.
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Once you have defined your external data source and your external tables, use T-SQL to query your external tables.
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Execute this query on the `ElasticDBQuery` database:
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```sql
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select count(CustomerId) from [dbo].[Customers]
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select count(CustomerId) from [dbo].[Customers];
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```
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You will notice that the query aggregates results from all the shards and gives the following output:
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You'll notice that the query aggregates results from all the shards and gives the following output:
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:::image type="content" source="media/elastic-query-getting-started/details.png" alt-text="Output details.":::
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1. Launch Microsoft Excel.
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1. Navigate to the **Data** ribbon.
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1. Select **From Other Sources** and select **From SQL Server**.
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1. In the **Data Connection Wizard** type the server name and login credentials. Then select **Next**.
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1. In the **Data Connection Wizard**, type the server name and login credentials. Then select **Next**.
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1. In the dialog box **Select the database that contains the data you want**, select the `ElasticDBQuery` database.
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1. Select the `Customers` table in the list view and select **Next**. Then select **Finish**.
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1. In the **Import Data** form, under **Select how you want to view this data in your workbook**, select **Table** and select **OK**.
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1. In the **Import Data** form, under **Select how you want to view this data in your workbook**, select **Table**. Select **OK**.
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All the rows from `Customers` table, stored in different shards populate the Excel sheet.
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You can now use Excel's powerful data visualization functions. You can use the connection string with your server name, database name and credentials to connect your BI and data integration tools to the elastic query database. Make sure that SQL Server is supported as a data source for your tool. You can refer to the elastic query database and external tables just like any other SQL Server database and SQL Server tables that you would connect to with your tool.
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You can now use Excel's powerful data visualization functions. You can use the connection string with your server name, database name, and credentials to connect your BI and data integration tools to the elastic query database. Make sure that SQL Server is supported as a data source for your tool. You can refer to the elastic query database and external tables just like any other SQL Server database and SQL Server tables that you would connect to with your tool.
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### Cost
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There is no additional charge for using the Elastic Database Query feature.
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There's no additional charge for using the Elastic Database Query feature.
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For pricing information see [SQL Database Pricing Details](https://azure.microsoft.com/pricing/details/sql-database/).
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For pricing information, see [SQL Database Pricing Details](https://azure.microsoft.com/pricing/details/sql-database/).
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## Related content
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