Jason Brimhall


Blog Post

DB Benchmarking

As database professionals, we have a need to benchmark performance of the database, processes, and essentially overall performance.  When benchmarking,...

2011-03-14

1,098 reads

Blog Post

DB Benchmarking

As database professionals, we have a need to benchmark performance of the database, processes, and essentially overall performance.  When benchmarking, it is preferable to get a baseline and then...

2011-03-14

7 reads

Blog Post

SQL Bitwise Operations

How many DB professionals have never had to deal with bitwise operations in SQL Server?  Who has never had a single value in the database represent more than one...

2011-03-10

19 reads

Blog Post

Database Maintenance

I often see a request for some scripts to help with database maintenance.  Sometimes those questions come in the form of recommendation requests for maintenance plans.  As many already...

2011-03-09

3 reads

Blogs

The Book of Redgate: Profits

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Redgate is a for-profit company. We look to make money by building and selling...

Stop Using Pandas for Aggregations — Try DuckDB Instead

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If you've ever loaded a 2 GB CSV into pandas just to run a...

Understanding Fabric Ontology

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What problem is Fabric Ontology trying to solve? For years, most data conversations have...

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Question of the Day

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