Temporal tables were introduced with SQL Server 2016. To take advantage of this feature, you might start fresh with a brand new table. It is possible, however, to convert an existing table with accumulated history to the new functionality. In this article, Mala Mahadevan explains how to create temporal tables for both scenarios.
Last week was the MVP Summit. This year included a bunch of very technical discussions about some of the future of the Microsoft Data Platform (a big thank you goes to Slava Oks, Bob Ward, and all the team for a great job). I can’t share much since it was all under NDA. All I […]
Indexes are the database objects that enable SQL Server to satisfy each data access request from a client application with the minimum amount of effort, resulting in the maximum performance of individual requests while also reducing the impact of one request upon another. Prerequisites: Familiarity with the following relational database concepts: Table, row, primary key, foreign key
Now that we've seen the basics of indexing, and taken a deeper dive into Nonclustered Indexes, this Level will focus on searching the table, which will, in turn, will lead us to a discussion of clustered indexes.
Internal and external fragmentation – Causes, cures, and when not to care
Included columns enable nonclustered indexes to become covering indexes for a variety of queries, improving the performance of those queries and with the only overhead being an increase the size of an index.
We've now seen how indexed and non-indexed tables perform in queries, and established "logical reads" as the metric for query performance. Now it is time to explain why logical reads are an excellent metric and also explain what is actually being read.
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