SELECT JSON_VALUE(f.doc, '$.id') AS Name, JSON_VALUE(f.doc, '$.address.city') AS City "firstName": "Henriette Thaulow", "gender": "female", "grade": 5, id int identity constraint PK_JSON_ID primary key,ĭoc nvarchar(max) CONSTRAINT CHECK (ISJSON(doc)>0) Since Sql Server does not have collections we will create simple table that would contain documents same as in the
#Mssql json query how to
I have used DocumentDB as a reference because it has easy-to-understand syntax, so I believe that you will easily understand how to use equivalent Sql Server queries.ĭocumentDB stores JSON documents in collections. In this post, I will show you some queries that can be executed in DocumentDB and equivalent Sql Server queries. Sql Server provides built-in functions for accessing JSON fields (JSON_VALUE), fragments (JSON_QUERY) and opening JSON documents (OPENJSON). Being a database designed for JSON and JavaScript, DocumentDB uses JavaScript as its underlying type system and supports both SQL as well as JavaScript queries.īoth SQL Server 2016 and DocumentDB enable you to query JSON documents.DocumentDB has nice syntax for querying JSON documents – you can find some good examples on JSON can be used with all components/features in SQL Server such as In-memory OLTP, Column store, temporal, etc.ĭocumentDB is a write optimized and schema agnostic document database purpose built for JSON and JavaScript it does not require any schema or secondary indices in order to serve queries. JSON support in SQL Server uses standard T-SQL syntax for querying JSON data with some additional built-in functions that enables you to read values of objects from JSON data.
SQL Server 2016/Azure SQL Db are relational databases that will have support for handling JSON data. In this article I will show you similarities and differences between SQl Server JSON and DocumentDB query syntax.
SQL Server JSON query syntax compared to DocumentDB
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