Lookup transformation in SSIS: Performance Improvements
There are 2 suggestions I hear about when performance tuning the Lookup transformation on a large dimension table when getting...
2012-08-28
9,137 reads
There are 2 suggestions I hear about when performance tuning the Lookup transformation on a large dimension table when getting...
2012-08-28
9,137 reads
If you do not know by now, PASS has many virtual chapters that give free webcasts all month long. I...
2012-08-19
772 reads
The PASS Data Architecture Virtual Chapter hosts none other than Dr. SQL Louis Davidson as he helps application and database...
2012-08-10
1,043 reads
This year’s SQLSaturday in Baton Rouge includes a Sharepoint track with 2 local speakers(Cody Gros & Eric Trivette), MCM Tom Resing...
2012-07-28
972 reads
I saw Ami Levin at the PASS Summit 2011 presenting on Loop Iterators in Execution Plans. It was on my...
2012-07-22
826 reads
The SQL Saturday/TechDay in Baton Rouge will be the forth annual this year. The Business Intelligence sessions occupy 2 tracks...
2012-07-19
893 reads
With a little help from the Kimball Group, I have become somewhat knowledgeable with the Data Mart dimension model approach...
2012-07-16
863 reads
Tuesday, July 10th started a string of speaking engagements I have been blessed (or cursed) with in the months of...
2012-07-12
734 reads
August 4th of this year will be the forth annual Baton Rouge SQL Saturday and Tech Day. LSU has offered...
2012-07-10
2,978 reads
August 4th of this year will be the forth annual Baton Rouge SQL Saturday and Tech Day. Patrick LeBlanc got...
2012-07-08
1,475 reads
By Steve Jones
Redgate is a for-profit company. We look to make money by building and selling...
I’ve uploaded the slides for my Techorama session Microsoft Fabric for Dummies and my...
If you've ever loaded a 2 GB CSV into pandas just to run a...
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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