How to get all MSSQL database columns names, data types and length
know all database columns names and data types and lenght with the minimum effort
2010-12-09 (first published: 2010-12-06)
3,035 reads
know all database columns names and data types and lenght with the minimum effort
2010-12-09 (first published: 2010-12-06)
3,035 reads
A script to reveal which logins have access to your sql server via windows groups.
2010-12-09 (first published: 2010-08-26)
2,427 reads
2010-12-08 (first published: 2010-12-03)
1,984 reads
2010-12-07 (first published: 2010-11-30)
2,190 reads
2010-12-06 (first published: 2010-11-22)
2,616 reads
2010-12-03 (first published: 2010-11-22)
1,708 reads
A useful script that I wrote that will sample the DMV sys.dm_os_performance_counters table to provide an average PLE captured in (1) minute intervals.
2010-12-01 (first published: 2010-11-16)
1,682 reads
SQL Function to Split Comma Separated Values and Insert into Table
2010-11-30 (first published: 2010-11-07)
4,220 reads
2010-11-26 (first published: 2010-11-04)
582 reads
2010-11-18 (first published: 2009-07-20)
2,949 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...
Tlp/Wa_Cs:0817-866-887 Jl. MT. Haryono No.657, Wonodri, Kec. Semarang Sel., Kota Semarang, Jawa Tengah 50242...
Tlp/Wa_Cs:0817-866-887 Jl. Tomang Raya No.64, RT.2/RW.3, Jatipulo, Kec. Palmerah, Kota Jakarta Barat, Daerah Khusus...
Comments posted to this topic are about the item The New Software Team
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