In this Article , We will delve into the world of Query Store and explore how to use Optimized Plan Forcing to improve performance in SQL Server 2022. We will discuss what it is, how it works, and how it can impact your system's performance.
2023-09-04
5,398 reads
In this tip we will go through each type of index that is available in SQL Server and give an overview as well as advice on which index types fit each particular use case.
2020-01-21
As SQL developers, we tend to think of performance tuning in terms of crafting the best table indices, avoiding scalar and table valued functions, and analyzing query plans (among other things). But sometimes going back to the spec and applying some properties of elementary math can be the best way to begin to improve performance of SQL queries which implement mathematical formulas. This article is a case study of how I used this technique to optimize my SQL implementation of the Inverse Simpson Index.
2021-05-07 (first published: 2019-09-12)
5,400 reads
Sometimes, simply switching the order of columns in an index means SQL Server takes more fine-grained locks, for a shorter period of time, causing less blocking.
2019-05-31
No matter what you use to collect or display them, deadlock graphs can return some confusing information.
2019-05-31
Even if your scalar function doesn’t touch tables, it still cripples performance by forcing serial processing, blowing up your CPUs, and obfuscating your query plans. Scalar user-defined functions: not even once.
2019-05-31
Erik Darling explains a trick that has a specific use case, but can be quite effective when you spot it.
2019-05-31
This post provides new information about the preconditions for minimally logged bulk load when using INSERT...SELECT into indexed tables.
2019-05-31
If someone sends you a cached plan that’s slow, how can you tell if it’s because of parameter sniffing?
2019-05-31
Does index fragmentation hurt query performance? Possibly. It depends on your workload. Tibor Karaszi explains.
2019-05-31
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I want to create a JSON document that contains data from this table:
TeamID TeamNameCity YearEstablished 1 Cowboys Dallas 1960 2 Eagles Philadelphia 1933 3 Packers Green Bay 1919 4 Chiefs Kansas City 1960If I run this code, what document(s) is/are returned?
SELECT json_objectagg( n.city : n.TeamName) FROM dbo.NFLTeams;See possible answers