![]() In fact, for some organizations, the JSON features already implemented in SQL Server 2016 will be enough to meet their needs. And if you’re working with other database management systems, you’ll quickly discover that the JSON features in SQL Server 2016 have some catching up to do before they can match what’s been implemented in other products.Įven so, what SQL Server 2016 provides is better than nothing, and the JSON support is solid and could prove more than adequate much of the time. As you can see, however, JSON support is nowhere nearly as robust as XML support. This article should give you what you need to start working with JSON data in SQL Server. In this case, the path specifies only the root element, Employees, giving us the results shown in the following table: key You then specify one or more elements as they appear hierarchically in the JSON snippet, using periods to separate the elements. When you specify a JSON path, you start with a dollar sign ( $) to represent the item as it exists in its current context. ![]() An object is an unordered collection of one or more name/value pairs (properties), enclosed in curly braces, as shown in the following example:įROM OPENJSON ( json, '$.Employees' ) At its most basic, a JSON snippet can contain objects, arrays, or both. Getting to know JSONĪlthough JSON is a bit more complex than what we’ll cover here, it can help to have a basic understanding of what makes up a JSON code snippet before starting in on the SQL Server support. However, it does provide several important T-SQL language elements that make working with JSON much easier than it has been in the past, so Microsoft is at least moving in the right direction, even if it still has some catching up to do. SQL Server 2016 continues to use the NVARCHAR type to store JSON data. SQL Server 2016 includes no JSON-specific data type and consequently none of the kinds of methods available to the XML data type. SQL Server 2016 does not approach JSON with such vehemence, nor does it match what you’ll find in products such as PostgreSQL. That is, unless you were expecting the same sort of robust support we’ve seen with XML. JSON, short for JavaScript Object Notation, is based on a subset of the JavaScript programming language and is noted for being human readable and easy for computers to parse and generate.Īccording to Microsoft, it is one of the most highly ranked requests on the Microsoft connect site and so for many, its inclusion in SQL Server is welcome news. GENERATED ALWAYS AS STR_TO_DATE(JSON_VALUE(content, '$.bilan.victimes.*.preview.SQL Server 2016 is finally adding support for JSON, a lightweight format for exchanging data between different source types, similar to how XML is used. I've read about virtual columns ( ) and also improving performance for JSON object ( ) but I can't really figure out if I should create a virtual column per key ? And, how can I create a virtual column with a transform ? In above case, I would create something like : ALTER TABLE bilan_json I am supposed to retrieve multiples values from the JSON, sometimes in a single query. This is working fine, but since there is a lot of records, and JSON could be very long, it takes an awful bunch of time to display the result. WHERE STR_TO_DATE(JSON_VALUE(content, '$.bilan.victimes.*.preview.TAGSAU'),'%e/%c/%Y >= '' JSON_VALUE(content, '$.bilan.victimes.*.preview.DSA') AS DSA Now, I am using queries to lookup information in the JSON like: SELECT and sometimes it is only '$.bilan.victimes' (without further subkeys) $.bilan.victimes.*.preview.TAGSAU (I use a star, since sometimes, it's '1', '2', etc. To make it simple, the hierarchy is always the same, but sometimes part of the "tree" is missing or slightly different. Unfortunately, the content is not always the same. I have a Mysql8 DB which contains JSON data.
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