SQL and NOT SQL: Best of 2017
Photo by Rick Meyers on UnsplashWith only a few days left in 2017, I thought it would be fun to do a year...
2017-12-26
425 reads
Bert Wagner
SQL and NOT SQL: Best of 2017
With only a few days left in 2017, I thought it would be fun to do a year in review post. Below you'll find some of my top 5...
2017-12-26
3 reads
How To Create Multi-Object JSON Arrays in SQL Server
Recently I was discussing with Peter Saverman whether it would be possible to take some database tables that look like...
2017-12-19
7,993 reads
How To Create Multi-Object JSON Arrays in SQL Server
Recently I was discussing with Peter Saverman whether it would be possible to take some database tables that look like this:
And output them so that the Cars and Toys...
2017-12-19
114 reads
Reducing the Number of Reads in Your Queries
“A-Bridged” – reducing reads – get it? I’m sorry you’re reading this. Photo by Jamie Street on UnsplashIn last week’s post, we went over how...
2017-12-12
215 reads
Reducing the Number of Reads in Your Queries
In last week's post, we went over how one of best ways to improve query performance was to reduce the number of reads that your query has to do.
Less reads...
2017-12-12
9 reads
Learning Through Blogging and Speaking
This post is a response to this month’s T-SQL Tuesday prompt created by Mala Mahadevan. T-SQL Tuesday was created by...
2017-12-12
165 reads
Learning Through Blogging and Speaking
This post is a response to this month's T-SQL Tuesday prompt created by Mala Mahadevan. T-SQL Tuesday was created by Adam Machanic and is a way for SQL users...
2017-12-12
8 reads
How to use Statistics IO to Improve Your Query Performance
SQL Server’s STATISTICS IO reporting is a great tool to help you performance tune queries.Usually the goal of performance tuning...
2017-12-05
3,338 reads
How to use Statistics IO to Improve Your Query Performance
SQL Server's STATISTICS IO reporting is a great tool to help you performance tune queries.
Usually the goal of performance tuning is to make your query run faster. One of...
2017-12-05
62 reads
Blogs
Stop Using Pandas for Aggregations — Try DuckDB Instead
If you've ever loaded a 2 GB CSV into pandas just to run a...
Understanding Fabric Ontology
By James Serra
What problem is Fabric Ontology trying to solve? For years, most data conversations have...
QUOTENAME Basics: #SQLNewBlogger
By Steve Jones
Recently I ran across some code that used a lot of QUOTENAME() calls. A...
Forums
Database Mail in SQL Server 2022
Comments posted to this topic are about the item Database Mail in SQL Server...
Stairway to Reliable Database Deployment Level 3 – Rehearsing Changesets Across Environments
Comments posted to this topic are about the item Stairway to Reliable Database Deployment...
QUOTENAME Quote Parameters
Comments posted to this topic are about the item QUOTENAME Quote Parameters
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