Inevitably there comes a time where some backend data cleanup needs to be done. Ben Snaidero shares some best practices to follow when deleting data.
Most people blog to share something they've done, and hopefully with the idea that someone else will learn and benefit from it. Steve Jones is happy to share code, but not everyone seems to be in agreement. In any case, you ought to respect the author's wishes.
In SQL, you can express the logic of what you want to accomplish without spelling out the details of how the database should do it. Nowhere is this more powerful than in constraints. SQL is declarative, and Joe Celko demonstrates, in his introduction to Declarative SQL, how you can write portable code that performs well and executes some complex logic, merely by creating unique constraints.
In the final Database Weekly of 2015, Steve Jones looks at a CIO's column on workplace change.
An alternative read-only routing technique for non-Microsoft clients.
SQL Injection isn't special code. It consists of regular, valid T-SQL that is unexpected by the application. Steve Jones notes that using the principle of least privilege can help to limit the damage from SQL Injection if the application fails to properly check input.
Azure SQL Database provides a number of benefits that leverage resiliency and redundancy built into the underlying cloud infrastructure. You can take advantage of these features in order to perform backup, restore, and failover tasks, which help you recover from human errors, service outages, or even regional disasters. In this article, Marcin Policht provides an overview of the primary capabilities incorporated into Azure SQL Database, in particular focusing on point-in-time restore
This Friday Steve Jones has a poll about which SQL Servers might impress you. Is there a company or installation that you think would really showcase the power and scalability of SQL Server?
A secret project is underway up in Redmond, according to sources not so high up in the development team. A port is partially working for various reasons. Read this exclusive scoop!
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
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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