One of the available algorithms to join two tables together in SQL Server is Nested Loops. The nested loops join uses one join input as the outer input table and one as the inner input table. The outer loop iterates the outer input table row by row. The inner loop, executed for each outer row, searches for matching rows in the inner input table.
We are approaching the most interesting part of these article series. I have mentioned that developers give preferences to JSON as it has clear structure and smaller data size comparing to XML.
In this article, we are going to compare JSON vs XML performance.
This article is an introduction to the query hint overview that appeared in SQL Server 2016 SP1.
There are many different thoughts on using hints in queries: some people say that you should never use them, while others insist on using hints if anything works incorrectly.
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. (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. (more…)