Containers: Working With Volumes
In the previous two posts on containers I showed how use Docker commands to get an image and create a container. This time, we’re going to create a container...
2019-05-23
18 reads
In the previous two posts on containers I showed how use Docker commands to get an image and create a container. This time, we’re going to create a container...
2019-05-23
18 reads
In yesterday’s blog post we pulled SQL Server images in preparation for today’s blog post where we create containers from those images. If you haven’t already, get Docker installed...
2019-05-22
41 reads
I’m working with Docker running on Windows or Linux. There are other ways to do this, but Docker seems to be a pretty strong standard. I’ll leave it to...
2019-05-21
33 reads
I find that I’m using containers more and more to get things done with SQL Server. They’re so easy to set up for testing, spin ’em up, do stuff,...
2019-05-20
77 reads
This weekend I was in Stockholm in Sweden, talking Query Store and plan forcing with Steinar Anderson, when he mentioned the problems he had while forcing plans that had...
2019-05-06
161 reads
One part of my job is to understand the compliance landscape. This means that I read a lot about the GDPR and related similar laws. I also have to...
2019-05-03 (first published: 2019-04-22)
497 reads
The OUTER JOIN returns one complete set of data and then the matching values from the other set. The syntax is basically the same as INNER JOIN but you...
2019-04-25 (first published: 2019-04-15)
694 reads
GDPR enforcement began in May of 2018, but if you are doing business in the US, you may not think it applies to you. Grant Fritchey explains why you might be wrong about that and why you need to act now.
2019-04-16
I’m starting the process of learning how to use Jupyter Notebooks. Notebooks are documents that contain live code, commentary, results, pictures and more. Jupyter Notebooks are used for presentations,...
2019-04-08
35 reads
I was inspired by Jen McCown’s story here. Read that first. It’s WAY better than mine. This is not an April Fools post. Fools are involved, but none were...
2019-04-01
117 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