Figure 4 shows a T-SQL statement that converts the results from our fictitious Fruit Sales data mart into JSON. Now, we will look at the syntax of this function. In this mode, the structure of the JSON output is determined by a combination of the order of columns in your SELECT statement as well as the tables that are referenced by the SELECT statement. OPENJSON is a table-valued function that helps to parse JSON in SQL Server and it returns the data values and types of the JSON text in a table format. This is the simplest way to convert relational data into a JSON format as all that you have to do is to add FOR JSON AUTO clause at the end of your SELECT statement. There are two ways that relational results can be converted into JSON, namely, the AUTO and PATH options. As can be seen in Figure 3, the JSON output from Figure 2 is now properly formatted.
For the purposes of this discussion, I will be using JSONFormatter from. JSON objects can increase in complexity as we introduce components which are not just single values but arrays in themselves.
Json query sql server series#
JSON Format JSON documents are represented as a series of JSON objects that contain name-value pairs. It is therefore advisable that whilst you teach yourself JSON in SQL Server that you find yourself a JSON editor. it into SQL Server using Invoke-SqlCmd or Invoke-DbaQuery. SQL Server introduced support for JSON in SQL Server 2016. Varbinary, binary, image, timestamp, rowversionĪlthough SQL Server’s support for XML allowed for graphical representation of the data via an editor (shown in Figure 1), attempting to view JSON data via an editor may be frustrating as JSON data is shown as an unformatted single row. SQL Server data stored in the following data types cannot be converted into JSON:Ī breakdown of supported data types is shown in Table1 SQL Server Data TypeĬhar, nchar, varchar, nvarchar, date, datetime, datetime2, time, datetimeoffset, uniqueidentifier, money In AUTO mode, the structure of the SELECT statement. Option 2 - SELECT statement controls output with FOR JSON AUTO. In PATH mode, you can use the dot syntax - for example, 'Item.Price' -. Producing JSON Documents From SQL Server Queries via TSQL (May 2014) Consuming hierarchical JSON documents in SQL Server using OpenJSON (Sept 2017) Importing JSON data from Web Services and Applications into SQL Server(October 2017) One of the surprises that I got from writing for Simple-Talk was the popularity of my article Consuming JSON. Thus, it is important that we take note of the supported data types. Format Query Results as JSON with FOR JSON (SQL Server) Option 1 - You control output with FOR JSON PATH. Like many of the features in SQL Server, there are terms and conditions to using them and JSON is no different. In this article we take a look at how such a requirement can be implemented by data teams using SQL Server 2016 FOR JSON clause SQL Server to JSON Supported Data Types reporting tools, web services etc.) in a JSON format. The increased popularity of JSON in modern web applications may create a requirement for data teams to expose some of their data to client applications (i.e. REPLACE('SELECT ROW_NUMBER() OVER (ORDER BY ' + (SELECT T3.ColumnName FROM T3 WHERE T3.TableName = T1.TableName AND T3.In my article, Warehousing JSON Formatted Data in SQL Server 2016, we had a look at available T-SQL options for converting JSON data into rows and columns for the purposes of populating a SQL Server based data warehouse. + '(' + CASE WHEN CONVERT(VARCHAR.) = -1 THEN 'MAX' ELSE CONVERT(VARCHAR.) END + ')' UPPER(.) = 'VARCHAR' OR UPPER(.) = 'NVARCHAR' THEN. Working solution to build JSON data out of SQL Server 2012 DECLARE NVARCHAR(50)
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