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![]() However, what if the developers needed to have large variety of results, maybe even from SQL created by the application rather than the database? That’s cool, though there will be a performance hit to using a generic solution that will produce JSON from any SQL. You would normally craft the SQL to do this ‘by hand’ for the specific job, using one of a variety of techniques. If you need to provide JSON-based results from the database, you are faced with a problem, because SQL Server doesn’t, at the time of writing this, have native JSON-integration (see the article ‘ Consuming hierarchical JSON documents in SQL Server using OpenJSON‘ in the list above for a SQL Server 2016 solution). Click on to save the file.Producing JSON Documents from SQL Server queries via TSQL - Simple Talk (2022) Then, enter a file name (in this example, I entered “data”) and select a file type of “CSV (Comma delimited) (*.csv). When prompted, select an output folder of your choice. Right-click anywhere in the results grid, as shown below. It should look like the screenshot below.ħ. Run the query by clicking on in the ribbon menu.Ħ. Then, from the main menu, click on, , and finally. To do so, from the main menu, click in the query window. Ensure that query output is set to the grid below the query. Paste the SQL query shown in the last section into the query window.Ĥ. In Object Explorer, right-click on the AdventureWorks2019 database name. Open SSMS and connect to your instance of SQL Server.Ģ. To run the sample query against the AdventureWorks2019 database and save its results to a CSV file, follow these steps:ġ. Note that the “TOP (5)” clause can be uncommented to limit the number of rows returned for testing. ![]() Shown below, it selects data from the vIndividualCustomer view. Json query sql server free#
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