Articles

Technical Article

Middle Tier Application Data Caching with SQL Server 2000

Middle tier applications often use a single database management system (DBMS) to store data, which can expose scaling limitations as the number of user requests increases. Caching, a technique used to increase application performance by copying data and then using the copied data in place of the original data, can dramatically increase the throughput (the number of application requests serviceable per unit time) and scalability of middle tier applications.

2002-03-08

2,221 reads

Technical Article

Performance Comparison: Data Access Techniques

Architectural choices for data access affect performance, scalability, maintainability, and usability. This article focuses on the performance aspects of these choices by comparing relative performance of various data access techniques, including Microsoft® ADO.NET Command, DataReader, DataSet, and XML Reader in common application scenarios with a Microsoft SQL Server™ 2000 database.

2002-03-01

2,857 reads

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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