2024-11-25
179 reads
math
Banker’s Rounding. What is it good for?
An in depth look at the implications of using Banker's Rounding.
2020-06-15
18,691 reads
Optimize Your SQL by Reformulating the Spec
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)
5,402 reads
SQL for 8-year-old Math…But Be Careful of Implicit Type Conversion
How we can use SQL to solve a math problem published in The Guardian...but with a caution about implicit type conversion.
2015-07-14
7,517 reads
Integer left and right shift
3 functions that implement the left (<<), right (>>) and unsigned right (>>>) shift operators, commonly found in C-style languages.
2012-02-15 (first published: 2011-12-30)
8,120 reads
Blogs
T-SQL Tuesday #198–Change Detection
By Steve Jones
This month we have a new host, Meagan Longoria, who graciously agreed to help...
Redgate and Rome
By Steve Jones
I’m at the UK Redgate office today, meeting with senior leaders in all areas...
Quick Tip: Check Most DTU Expensive Queries in Azure SQL Database
Optimizing Azure SQL Database performance often begins with identifying the most resource-intensive queries. Understanding...
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Creating a JSON Document IV
Comments posted to this topic are about the item Creating a JSON Document IV
Restoring Azure Key Vault Keys and Validating SQL Server TDE Recovery: Level 7 of the Stairway to TDE
By VishnuGupthanSQLPowershellDBA
Comments posted to this topic are about the item Restoring Azure Key Vault Keys...
Question of the Day
Creating a JSON Document IV
I have this data in a table called dbo.NFLTeams
TeamID TeamName City YearEstablished ------ -------- ---- --------------- 1 Cowboys Dallas 1960 2 Eagles Philadelphia 1933 3 Packers Green Bay 1919 4 Chiefs Kansas City 1960 5 49ers San Francisco 1946 6 Broncos Denver 1960 7 Seahawks Seattle 1976 8 Patriots New England 1960If I run this code, how many rows are returned?
SELECT YearEstablished, json_objectagg(city : TeamName) FROM dbo.NFLTeams GROUP BY YearEstablished;See possible answers