Finding and Eliminating Duplicate or Overlapping Indexes
Duplicate & Overlapping Indexes can be a drag on write speed and disk resources. How do we find and eliminate them quickly and effectively?
The Need for Database Intelligence Software
A brief editorial on future database engines having built in intelligence.
5 Monitoring Queries for SQL Server
Every DBA squirrels away favourite queries for monitoring SQL Server. Nowadays many of these are too complex to keep in your head. Dennes describes how he uses T-SQL queries for solving problems, whether it involves fixing the problems of missing indexes, preventing unrestrained autogrowth, avoiding index fragmentation, checking whether jobs have failed or avoiding memory stress conditions.
Fuzzy Processing
There are times when you don't want to get exact mathematical calculations in data processing, and Steve Jones talks about one of them today.
Stairway to DLM Dashboard Level 1: An Introduction
In the first article of this stairway, learn what DLM Dashboard can do and how it provides a useful service to DBAs and developers.
What's "Actually" going on with that Seek?
Rob Farley digs deeper into seeks and actual rows read, demonstrating a case where you want a non-sargable expression in the WHERE clause.
Introduction to the Azure SQL Database Advisor
One of the challenges associated with running your workloads in Azure SQL Database is the limited level of management oversight. Fortunately, there is an alternative approach that leverages the functionality incorporated into the recently introduced Azure SQL Database Advisor - Marcin Policht provides a brief overview.
Power BI to Azure SQL and Google Analytics
In this demo, we will give an introduction from 0 about Power BI and how to connect to Azure SQL Databases and Google Analytics
The Bad Data Shutdown
Not more hacking, but rather a data error in some cars is disturbing to Steve Jones.
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
The New Software Team
Comments posted to this topic are about the item The New Software Team
Database Mail in SQL Server 2022
Comments posted to this topic are about the item Database Mail in SQL Server...
The string_agg function
Comments posted to this topic are about the item The string_agg function
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