When the average database developer is obliged to manipulate XML, either shredding it into relational format, or creating it from SQL, it is often done 'at arms length'. A shame, since effective use of techniques that go beyond the basics can save much code,
Building a team when you are developing software of any size is important and Steve Jones shares one of the most important things you need.
In the first level of his Stairway to SQL Dialects, Joe Celko looks at the origins of the SQL language and how the language has spawned the various different dialects in use today.
As you begin developing reports for deployment to a Report Server, what security considerations need to be taken into account in order to grant users access to run a report.
A few thoughts from Steve Jones on how you can help increase your own job security in IT.
This article contains a T-SQL script that can show you the dependency of all objects in your SQL Server database.
Quite often, tasks accomplished via SSIS are a part of procedures that run unattended, either scheduled to launch at a particular date and time or triggered by some arbitrarily chosen event. Marcin Policht shares a typical approach to implementing such a scenario.
Graphs and charts are dangerous in the wrong hands, and if built on data that is carelessly gathered will mislead as often as they lead. Phil Factor speaks from hard experience.
You need to provide the necessary keywords and define the XQuery and value expressions in your XML DML expression in order to use the modify() method to update element and attribute values in either typed or untyped XML instances in an XML column. Robert Sheldon explains how.
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
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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