Power BI Smart Narrative
A new feature in Power BI is the Smart Narrative that allows you to add a textual narrative to your reports to help provide additional information to the user.
2021-03-26
Articles
Why is my SQL Server Query Suddenly Slow?
A SQL Server query is suddenly running slowly, for no obvious reason. Grant Fritchey shares a 5-point plan to help you track down the cause and fix the problem.
2021-03-26
Hacking the DTSX (SSIS XML file) to Change Defaults
Introduction According to Microsoft, DTSX is an XML-based file format that stores the instructions for the processing of a data flow from its points of origin to its points of destination, including transformations and optional processing steps between the origin and destination points. In a nutshell, when you are creating your SSIS package, the SQL […]
2021-03-25
4,253 reads
Checking for Missing Module References in a SQL Server Database Using Flyway
There are certain checks that need to be done after a database migration is complete. One good example of this is the check that a migration script, such as one that merges changes from a branch into main, doesn't cause 'invalid objects' (a.k.a. 'missing references') in your databases. I'll show you how to run this check, using sp_RefreshSQLModule, and incorporate it into a Flyway "after" migration script.
2021-03-25
Exploring the Capabilities of Azure Synapse Spark External Tables
In this article we explore additional capabilities of Azure Synapse Spark and SQL Serverless External Tables.
2021-03-25
Key findings from the 2021 State of Database DevOps report
Redgate has just published the 5th annual State of Database DevOps report, In this blogpost, Andrea Giardina explores key insights across four trends: DevOps adoption, performance & DevOps, the rise of cloud & cross-database, and the impact of the pandemic.
2021-03-24
Scripts to Automate Creating and Loading a SQL Server Table
Use these T-SQL strategies for dropping, creating, and populating tables in custom schemas across different SQL Server versions from SQL Server 2019 back to SQL Server 2005.
2021-03-24
Comparing Two Geospatial Series with Python
Learn how to use Python and pandas to compare two series of geospatial data and find the matches.
2021-03-23
5,034 reads
Email Issues with SQLServerCentral
We are experiencing some email issues with our sender. There are some spam reports for our newsletter, which are causing us issues. If you have any questions, please contact the webmaster@sqlservercentral.com.
2021-03-23
118 reads
Ten tips for building a collaborative DevOps culture
There is more to DevOps than tools and automation. In this article, Robert Sheldon explains how to create a DevOps culture based on collaboration.
2021-03-23
Blogs
Day 2 at PASS Data Community Summit 2024
By Steve Jones
I missed blogging yesterday as I was on stage/backstage for quite a bit of...
PASS Summit 2024 – Wednesday
By Brian Kelley
A common theme in the PASS Summits I've attended is community and that's definitely...
Taming Database Challenges: Insights from Redgate Keynote
By Chris Yates
I am excited to cover the Microsoft Keynote on Day 2: Redgate Keynote: Simplifying...
Forums
Deduplicating rows by choosing the row with the shortest string
Hello T-SQL experts I have a table containing team codes and descriptions. Unfortunately, many...
Unencrypted connections in Always on Availability Group
Hi, In my Always On Availability environment, I am seeing two encrypt_option values as...
Question of the Day
Using Outer Joins
I have this data in a SQL Server 2019 database:
Customer table CustomerID CustomerName 1 Steve 2 Andy 3 Brian 4 Allen 5 Devin 6 Sally OrderHeader table OrderID CustomerID OrderDate 1 1 2024-02-01 2 1 2024-03-01 3 3 2024-04-01 4 4 2024-05-01 6 4 2024-05-01 7 3 2024-06-07 8 2 2024-04-07I want a list of all customers and their order counts for a period of time, including zero orders. If I run this query, how many rows are returned?
SELECT c.CustomerName, COUNT(oh.OrderID) FROM dbo.Customer AS c LEFT JOIN dbo.OrderHeader AS oh ON oh.CustomerID = c.CustomerID WHERE oh.Orderdate > '2024/04/01' GROUP BY c.CustomerNameSee possible answers