2015-11-09
115 reads
2015-11-09
115 reads
Continuous integration (CI) is becoming more and more common in application development. It ensures code and related resources are integrated regularly and tested by an automated build system, and highlights problems early in the development process. But what about database development? Can the same advantages of CI be applied to production databases? Where do you start? How do you tackle it? Sjors Takes relates his experience.
2015-11-09
2,651 reads
In a recent survey run SQL Server Central, 58% of respondents admitted that their test database is an exact copy of their production database. Many of these respondents concede that they should be removing sensitive data, but aren’t. It seems that the desire to have realistic data will, for many, trump the requirement to keep sensitive data out of development and test environments. In this blog post, Redgate's Jason Crease introduces the new 'SQL Instant Clone' and explains how it could help.
2015-11-06
4,497 reads
Paul Randal adds another chapter to his thorough series on knee-jerk wait statistics, focusing on the often-misunderstood PAGELATCH_XX waits.
2015-11-05
5,574 reads
A quick tip to help you get system object suggestions from SQL Prompt.
2015-11-04 (first published: 2012-05-01)
1,248 reads
2015-11-04
4,097 reads
Ghanesh Prasad discusses 12 best practices any developer or DBA should follow when working on a SSRS project.
2015-11-04
5,092 reads
A new series to take you through the basics of how to get started using Azure as your own personal lab.
2015-11-03
2,979 reads
Even the most experienced programmers can be caught out unawares by software they've used for years without trouble. Dino Esposito explains why and how the JSON method in an ASP.NET MVC controller class suddenly started to cause an exception on a production server, and how he fixed the problem.
2015-11-03
2,813 reads
Join Justin Dearing and Elizabeth Ayer to hear about some of the key challenges of database version control, and why it's only a matter of time before it's as essential as good backups and high performance.
2015-11-03 (first published: 2015-10-13)
8,620 reads
By Steve Jones
Redgate is a for-profit company. We look to make money by building and selling...
I’ve uploaded the slides for my Techorama session Microsoft Fabric for Dummies and my...
If you've ever loaded a 2 GB CSV into pandas just to run a...
Comments posted to this topic are about the item Even When You Know What...
Comments posted to this topic are about the item The New Software Team
Comments posted to this topic are about the item Database Mail in SQL Server...
We create the following table and then insert some records in it:
create table t1 ( id int primary key, category char(1) not null, product varchar(50) ); insert into t1 values (1, 'A', 'Product 1'), (2, 'A', 'Product 2'), (3, 'A', 'Product 3'), (4, 'B', 'Product 4'), (5, 'B', 'Product 5');What happens if we execute the following query in both Sql Server and PostgreSQL?
select id,
category,
string_agg(product, ';')
over (partition by category order by id
rows between unbounded preceding and unbounded following) as stragg
from t1; See possible answers