Storage 101: Understanding the Hard-Disk Drive
In this article in the series, Robert Sheldon provides a deep dive into HDDs.
2020-03-09
In this article in the series, Robert Sheldon provides a deep dive into HDDs.
2020-03-09
DAX contains a host of time-intelligence functions with exotic names such as SAMEPERIODLASTYEAR and PARALLELPERIOD. In the last article in this series, Andy Brown explains how to write measures using the range of date functions in DAX, and also explains how time-intelligence functions work behind the scenes.
2020-03-06
This article explains indexed views and provides an example that shows when they should be used to improve performance of a complex query.
2020-02-25
22,258 reads
Problem This is one of the errors that I frequently encounter while deploying or processing SSAS OLAP cubes on the client's computers or on a remote server. Recently, one of my team members also faced the same issue and so I thought to write a resolution for the issue. The error is something like this: […]
2020-02-03
9,919 reads
Learn how you can modify an SSIS package to dynamically process SSAS cubes.
2020-01-13
11,049 reads
Introduction Developing predefined reports in addition to all the ad-hoc queries have been a part of my daily activities. Often I find my stakeholders asking me to prepare reports in which they want to know something that has never happened. It might sound strange, but yeah, that's what their point of concern is all about. […]
2021-11-26 (first published: 2019-11-04)
15,883 reads
The Problem Recently, while working with one of my clients, I came across a script in which I had to introduce a scalar User-Defined Function in the SELECT statement. The SELECT used to return around 750K records. However, after introducing the UDF, the row count significantly increased to 826K. There were no other changes made […]
2019-10-14
5,178 reads
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)
5,494 reads
Learn some of the basics of using Dynamic SQL in a short series of videos.
2019-08-12
8,678 reads
Previous Monday to the Start of the Previous Quarter
2019-07-29 (first published: 2019-07-18)
567 reads
I’m excited to announce the release of a new open-source project that fully automates...
One of my favourite features of SQL Server 2022 was the T-SQL Snapshot Backups....
By Steve Jones
I have said and written this many times: Redgate Software is the type of...
Comments posted to this topic are about the item Optional Parameter Plan Optimization in...
Comments posted to this topic are about the item AI Experience Gap that we...
There is a table tmp_tab:
CREATE TABLE tmp_tab ( id int, val int );
INSERT INTO tmp_tab VALUES (1, 1), (2, NULL), (3, 3), (4, 4), (5, 5);You want to order the rows ids by the following expression:
ISNULL(val, id) + 1Which of the following queries produces the expected ordering and why? (Select all correct) See possible answers