In today's guest editorial, Phil Factor issues a stark warning against cunning salesmen and hidden costs in cloud computing.
Phil Factor is puzzled by reading how difficult a relatrional database is to use for certain tasks.
Check tempdb to see if it has been autogrown since the last restart. If it has, there may be an opportunity to improve server performance.
Recently we started experiencing a very strange issue in our production reporting environment where the Re-indexing and Update Statistics operation suddenly began taking more than 2 days to complete and was thus causing blockage in the database which in turn caused impairment in application performance.
It's incredible what humans can accomplish when they work on a problem with passion. This editorial was originally published on Mar 20, 2008. It is being re-run as Steve is on vacation.
This week Steve Jones looks at the expected lifetimes of SSDs and finds one that might be a nice upgrade for your system.
When you have SSAS cubes with millions of rows of data, it is very helpful to create partitions. If you have a few cubes you could probably do this manually, but if there are many or if you want to automate this process you should look for smarter solutions such as programming the creation of partitions dynamically.
SQL Saturday in the Ukraine. If you want a free day of training, sign up and attend.
The final day of Simon's journey to improve his OLAP knowledge and build a prototype cube.
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