Verify Last successful CHECKDB on all databases
Creates a resultset that expresses the last time a successful CHECKDB was performed on every database in the instance.
Does not work on SQL 2000.
2011-09-28 (first published: 2008-03-19)
5,095 reads
Creates a resultset that expresses the last time a successful CHECKDB was performed on every database in the instance.
Does not work on SQL 2000.
2011-09-28 (first published: 2008-03-19)
5,095 reads
Find every object in every database owned by a particular Login.
2011-09-27 (first published: 2008-07-07)
11,314 reads
2011-09-26 (first published: 2011-09-14)
1,808 reads
Generate Script to create all secondary indexes for a database. I have included the ability to generate online indexes if possible and the ability to move to another file group.
2011-09-23 (first published: 2008-07-05)
3,280 reads
A quick procedure to check which full recovery databases have not had a tran log backup in the given period (default is 7 days). This could mean that the recovery mode might need changing or the transaction log backup jobs need investigating.
2011-09-22 (first published: 2007-08-03)
1,713 reads
A set of user defined functions used to calculate the number of business or working hours (excluding the non working hours) that have passed since a certain point of time.
2011-09-21 (first published: 2007-11-20)
3,157 reads
2011-09-20 (first published: 2008-01-11)
2,496 reads
Ensure all your databases have standardised options by running this script weekly.
2011-09-19 (first published: 2007-12-17)
2,141 reads
Just one way of testing for a linked server based on data within your database.
2011-09-16 (first published: 2007-08-07)
2,633 reads
2011-09-15 (first published: 2011-09-05)
2,922 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...
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Tlp/Wa_Cs:0817-866-887 Jl. Jenderal Ahmad Yani No.24-26, Panderejo, Kec. Banyuwangi, Kabupaten Banyuwangi, Jawa Timur 68416
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