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SQL Server's In-memory OLTP is fast, due to its multi-valued concurrency control (MVCC). MVCC avoids the need for locks by arranging for each user connected to the database to see a snapshot of the rows of the tables at a point in time, No changes made by the user will be seen by other users of the database until the changes have been completed and committed. It is conceptually simple but does the user always see the correct version of a row under all circumstances? Shel Burkow explains.
You should stick to using tables in SQL Server, rather than heaps that have no clustered index, unless you have well-considered reasons to choose heaps. However, there are uses for heaps in special circumstances, and it is useful to know what these uses are, and when you should avoid heaps. Uwe Ricken explains, and demonstrates why you'd be unwise to use heaps rather than tables when the data is liable to change.
It’s often useful to be able to create a directory of object-level scripts from an existing database, for example to put a database into version control, or search through a directory of scripts. In this simple ‘how to’ article, Feodor Georgiev expands on the four most common reasons, and shows how simple it is using SQL Compare.
SQL Server 2016 introduced three new objects to deal with the greater demand of data; John Miner takes a look at this new functionality.
Table-Valued Functions and User-Defined Types can help you write parameterised U-SQL views in an elegant manner. They also aid code reuse.
Rangarajan Srirangam from the Azure Customer Advisory Team shares some tips and techniques to help achieve an efficient data migration to Azure SQL Data Warehouse.
By Brian Kelley
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Comments posted to this topic are about the item Designing SQL Server ETL Pipelines...
Comments posted to this topic are about the item Detecting Deadlocks Quickly
In the Database Engine, when a deadlock is detected, what does the detection interval shrink to (in time)?
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