T-SQL Documentation Generator
This post is a response to this month's T-SQL Tuesday #110 prompt by Garry Bargsley. T-SQL Tuesday is a way for the SQL Server community to share ideas about...
2019-01-08
4 reads
This post is a response to this month's T-SQL Tuesday #110 prompt by Garry Bargsley. T-SQL Tuesday is a way for the SQL Server community to share ideas about...
2019-01-08
4 reads
This post is part 3 in a series about physical join operators (be sure to check out part 1 – nested...
2019-01-10 (first published: 2019-01-02)
2,745 reads
This post is part 3 in a series about physical join operators (be sure to check out part 1 - nested loops joins, and part 2 - merge joins).
Watch...
2019-01-02
4 reads
This post is part 3 in a series about physical join operators (be sure to check out part 1 - nested loops joins, and part 2 - merge joins).
Watch...
2019-01-02
12 reads
A few days ago I was surprised to learn from Aaron Bertrand of SentryOne that he was selecting me as...
2019-01-01
996 reads
A few days ago I was surprised to learn from Aaron Bertrand of SentryOne that he was selecting me as Community Influencer of the Year for 2018.
Aaron states that...
2019-01-01
5 reads
A few days ago I was surprised to learn from Aaron Bertrand of SentryOne that he was selecting me as Community Influencer of the Year for 2018.
Aaron states that...
2019-01-01
4 reads
This post is part 2 in a series about physical join operators (be sure to check out part 1 – nested...
2018-12-31 (first published: 2018-12-18)
2,995 reads
This post is part 2 in a series about physical join operators (be sure to check out part 1 - nested loops joins, and part 3 - hash match...
2018-12-18
23 reads
This post is part 2 in a series about physical join operators (be sure to check out part 1 - nested loops joins, and part 3 - hash match...
2018-12-18
10 reads
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