Source control isnt just a backup
In the second part of this series on getting more agile and bringing our Sql Server development practices up to...
2015-02-19
47 reads
In the second part of this series on getting more agile and bringing our Sql Server development practices up to...
2015-02-19
47 reads
In the second part of this series on getting more agile and bringing our Sql Server development practices up to...
2015-02-19
437 reads
K-SSIS-ed A re-envisioned IDE for SSIS packages, jump here
SSDT Dev Pack A few helpers to make using SSDT slightly better, the killer feature for me is quickly deploying the...
2015-02-16
7 reads
K-SSIS-ed A re-envisioned IDE for SSIS packages, jump here
SSDT Dev Pack A few helpers to make using SSDT slightly better,...
2015-02-16
38 reads
K-SSIS-ed A re-envisioned IDE for SSIS packages, jump here
SSDT Dev Pack A few helpers to make using SSDT slightly better,...
2015-02-16
56 reads
I generally write T-SQL code in SSDT (Sql Server Data Tools) and find that I often publish to my local database instance and then test the actual code in...
2015-02-16
7 reads
I generally write T-SQL code in SSDT (Sql Server Data Tools) and find that I often publish to my local...
2015-02-16
31 reads
I generally write T-SQL code in SSDT (Sql Server Data Tools) and find that I often publish to my local...
2015-02-16
660 reads
I generally write T-SQL code in SSDT (Sql Server Data Tools) and find that I often publish to my local...
2015-02-16
50 reads
NOTE: THIS WAS WRITTEN IN 2015, it is now 2020 - that is 5 years so please consider this a historical artifact that is probably out of date. In...
2015-02-12
8 reads
By Steve Jones
Redgate is a for-profit company. We look to make money by building and selling...
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...
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