Catching Up On SQLOrlando
Somehow two years have elapsed since my last update; hopefully it won’t be that long before the next one. My last post was about SQLSaturday Orlando 2023. Since then,...
2026-01-16 (first published: 2026-01-03)
181 reads
Somehow two years have elapsed since my last update; hopefully it won’t be that long before the next one. My last post was about SQLSaturday Orlando 2023. Since then,...
2026-01-16 (first published: 2026-01-03)
181 reads
The call for speakers is open! We’re always excited to have experienced and past speakers return (Rob Volk!), but if you’re a first time or relatively new speaker just...
2023-07-07
43 reads
Quick notes on the event this year: Overall a good event and now I have a few months until SQLSaturday in Orlando in October.
2023-07-21 (first published: 2023-07-06)
163 reads
Year 15 for Jacksonville! SQLSaturday Jax was held on May 6 this year, back at the usual location on the campus of the University of North Florida. At the...
2023-06-23 (first published: 2023-06-13)
170 reads
First, the numbers. We registered 240 people, had about 110 on site. That’s definitely better than last year and still quite a bit under what it was pre-Covid. I’ll...
2022-11-04 (first published: 2022-10-19)
110 reads
This year we’re back at our usual location on the campus of Seminole State College for SQLSaturday #1030. You may remember that last year we couldn’t use the college...
2022-08-01 (first published: 2022-07-25)
161 reads
I drove up to Jacksonville Friday afternoon to allow for bad traffic and immediately hit bad traffic, all four lanes of I-4 blocked that resulted in a 30 minute...
2022-05-24
72 reads
I attended the three main days this year and wrote notes as I went. As I sat down to type them up I started by going back to look...
2021-11-19 (first published: 2021-11-14)
336 reads
We held an in-person SQLSaturday here in Orlando last weekend (Oct 30th). We didn’t organize one last year, there was just too much risk and too much uncertainty, so...
2021-11-17 (first published: 2021-11-10)
205 reads
We held an in-person SQLSaturday here in Orlando last weekend (Oct 30th). We didn’t organize one last year, there was just too much risk and too much uncertainty, so...
2021-11-10
62 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...
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