Database Queries and Scalability
Does the database limit the scale of your application? Without a doubt, but that doesn't mean you shouldn't use an RDBMS.
Does the database limit the scale of your application? Without a doubt, but that doesn't mean you shouldn't use an RDBMS.
Collect your data from your servers easily using linked servers.
This article is an extract from the book Tribal SQL. In this article, Mark S. Rasmussen offers a concise introduction to the physical storage internals behind SQL Server databases. He doesn't dive into every detail, but provides a simple, clear picture of how SQL Server stores data.
This Friday Steve Jones asks you to network at your next event and meet more people in the amazing SQL Server community.
This article describes a design pattern for storing “effective dated" changes to fact tables.
One of the benefits of running SQL on virtual environment is the capability to present additional vCPUs to the virtual server online and real-time without interruption to running processes. Our VM administrator normally presents only 1 vCPU on the virtual server and extends as required. This article describes how SQL Server is able to detect hot-added vCPUs in my virtual server.
Download the latest preview of the the next SQL Server version for testing.
Steve Jones looks back at a networking event this week in Charlotte. Networking is valuable to your career and it can be a tremendous amount of fun as well.
Dave Lumley presents a Reporting services disaster recovery solution for SQL Server Standard Edition, using 2 servers. Worth the read if you don't run Enterprise.
During weekend maintenance, members of the support team executed an UPDATE statement against the database on the OLTP Server. This database was a part of Transactional Replication, and once the UPDATE statement was executed the Replication procedure came to a halt with an error message. Satnam Singh decided to work on this case and try to find an efficient solution to rebuild the procedure without significant downtime.
If you've ever loaded a 2 GB CSV into pandas just to run a...
By James Serra
What problem is Fabric Ontology trying to solve? For years, most data conversations have...
By Steve Jones
Recently I ran across some code that used a lot of QUOTENAME() calls. A...
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...
Comments posted to this topic are about the item The string_agg function
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