When you specify FOR JSON AUTO, SQL Server automatically formats the nested JSON sub arrays of the query result based on table hierarchy and column order used in the query. If you have prior experience working with the FOR XML clause, you might find this new clause quite similar. SQL Server 2016 introduces the FOR JSON clause to be used with your query to format your query result in JSON format before returning it to the client. Also, you don’t need any special type of indexes on JSON data, you can still use regular indexes, which you are already familiar with. This means you are not constrained you can store and parse JSON data almost everywhere, wherever NVARCHAR is supported. Unlike XML native support, where you have the XML data type to store XML data or documents, you use NVARCHAR data to store JSON data or documents in SQL Server 2016. With this new feature, you can convert to the JSON format from tabular data available in relational tables as well as parse JSON data to bring it to the tabular format for reporting, joining with other tables, or passing it to other applications that expect tabular data etc. You can learn more about JSON here and here. JSON stands for JavaScript Object Notation and is a light-weight, human-readable text data exchange format, based on a subset of the JavaScript programming language (though it’s language independent and hence these days used in many programming languages). With the built-in support, you can do it very quickly while focusing on your data parsing or your application logic rather than focusing on writing functions to parse JSON data. Though it is possible to store, manage and parse JSON data even in the earlier versions of SQL Server, it requires more effort on the development side to implement it. SQL Server 2016 has introduced built-in support for storing, managing and parsing JSON data. In this article series, I will explain this new feature and demonstrate how to use it in your applications in different scenarios. This feature still exists in SQL Server as XML has some inherent advantages and is still used widely, but because many new applications have started using JSON for a light-weight data interchange mechanism, SQL Server 2016 introduces built-in support for storing, managing and processing JSON data. #"Parsed JSON" = Table.SQL Server 2005 introduced native support for storing, managing and processing XML data when XML had become the de-facto standard for data interchange. Source = Sql.Database("mysqlserver", "mydbname", ), When I successfully parse out the first object in this array, the Power Query M looks like this: As you can see, I also won't know the names of the keys in the JSON object. I will always have the "values" array, but anything after that is up in the air from nothing in the Array to 15 object in the array. The columns for each row are a Unique ID, 28 other attributes, and a JSON string which is Dynamic in that I won't know the contents, and it could be nested.ĮvalResults is the JSON in question, which looks like: I have a SQL View as my source with roughly 30 columns in it. I can successfully parse this column by clicking through and expanding, but it only parses the first object found in my JSON array. My goal is to parse a JSON string column that is being served up to power bi via a SQL source column. I've posted this earlier to Desktop, but apparently that post didn't take, so forgive me if this shows up twice!
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