In my previous publication, I described how you could generate JSON from relational data. In this article, we will explore the reverse operation: how it is possible to transform JSON into a relational structure. To do this, you can use the OPENJSON statement.
JSON is one of the most widely used data interchange formats. It is used as a storing format in several NoSQL solutions, in particular, in Microsoft Azure DocumentDB. In my opinion, today JSON is yet more popular than XML. One of the reasons of its popularity is more simple form and better readability in comparison with XML. Naturally, there was a long-standing need in having an option to process data in this format within SQL Server. In SQL Server 2016, this option has been established. Read More
This is the second article in a series of articles about SQL Server In-Memory OLTP.
The introductory article — SQL Server In-Memory OLTP, briefly introduced the basics of the new Hekaton engine. In this part, we will focus on practice. To be more specific, we will see how to create In-Memory optimized databases and tables, and also, how to assess them with help of T-SQL. Read More
In this article, I would like to describe several new T-SQL features available in SQL Server 2016: DROP IF EXISTS, SESSION_CONTEXT, MAXDOP, FORMATMESSAGE, COMPRESS and DECOMPARESS, DATEDIFF_BIG, AT TIME ZONE, FOR JSON and other. Read More