SQL Window Functions Series: RANK() and DENSE_RANK()
Welcome to the fascinating world of SQL window functions! Today, we'll explore in detail: RANK() and DENSE_RANK().
2023-11-20 (first published: 2023-11-15)
13,530 reads
Query Optimization
Optimized Plan Forcing with Query Store in SQL Server 2022
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
5,240 reads
Deep SQL Query Optimization with SQL Grease
Learn how to conduct deep SQL Query optimization with SQL Grease with the Enterprise dashboard, historical data, troubleshooting SQL Server Wait Stats, capturing anomalies and intelligent notifications.
2022-02-02
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)
5,389 reads
2016-01-14
1,812 reads
Query Optimizer and Cartesian Products
In his continuing quest to bring a deeper understanding of Query Optimizer to the world at large, Fabiano Amorim takes a moment to point out a potential pitfall you may encounter. A light read, but one worth persuing.
2010-01-01
3,379 reads
The Query Optimizer: Date Correlation Optimisation
In SQL Server 2005, a feature was introduced that was hardly noticed, but which might make a great difference to anyone doing queries involving temporal data. For anyone doing Data Warehousing, timetabling, or time-based pricing, this could speed up your queries considerably. Who better to introduce this than Query Optimizer expert, Fabiano Amorim?
2009-10-26
3,485 reads
Statistics Used by the Query Optimizer in Microsoft SQL Server 2008
Microsoft SQL Server 2008 collects statistical information about indexes and column data stored in the database. These statistics are used by the SQL Server query optimizer to choose the most efficient plan for retrieving or updating data. This paper describes what data is collected, where it is stored, and which commands create, update, and delete statistics. By default, SQL Server 2008 also creates and updates statistics automatically, when such an operation is considered to be useful. This paper also outlines how these defaults can be changed on different levels (column, table, and database).
2009-07-24
2,506 reads
Blogs
Deploying an Updated Model with SQL Compare 16
By Steve Jones
In a previous post, I deployed a model to a database using SQL Compare...
Reality (And Limits) of Instant File Initialization for Transaction Logs in SQL Server 2022
By SQLPals
Reality (And Limits) of Instant File Initialization for Transaction Logs in SQL Server 2022 ...
Looking Back at the Redgate 2026 Company Kickoff
By Steve Jones
Last week I spent a few days in Cambridge, UK for the Redgate Company...
Forums
Create filegroups in partition
I have a table with partition on create_timestamp field. Though we're storing all data...
Adding and Dropping Columns II
Comments posted to this topic are about the item Adding and Dropping Columns II
Leveraging DuckDB for OLAP Workloads: The Fabric Modern Data Platform
Comments posted to this topic are about the item Leveraging DuckDB for OLAP Workloads:...
Question of the Day
Adding and Dropping Columns II
I have this table in my SQL Server 2022 database:
CREATE TABLE [dbo].[CityList] ( [CityNameID] [int] NOT NULL IDENTITY(1, 1), [CityName] [varchar] (30) , [Country2] [char] (3), [stateprovince2] [char] (2), [Country] [char] (3), [stateprovince] [char] ) ON [PRIMARY] GOI decide to drop the stateprovince2 and country2 columns. What code should I use? See possible answers
