Additional Articles


Technical Article

Scale-Out Querying with Analysis Services

This white paper describes how to set up a load-balanced scalable querying environment for Microsoft SQL Server 2005 Analysis Services so that you can handle a large number of concurrent queries to your Analysis Services servers. Load-balanced querying ensures that readers of OLAP cubes can consistently query for the latest aggregations throughout the day and distribute the load of all queries among the available servers. This scale-out querying architecture optimizes cube processing time, increases the frequency of cube update, and makes processing more robust as you can afford more frequent processing and transparent error recovery.

2007-06-26

2,630 reads

Technical Article

Using SQL Server Table-Valued User-defined Functions with Exchange Web

The SQL Server Tables and Exchange Web Services sample demonstrates a powerful integration of Microsoft® Exchange Server 2007 and Microsoft SQL Server™ 2005 features. This integration enables you to provide data from both Microsoft Exchange and SQL Server to client applications so that the data appears as if it were stored in SQL Server. As you will see, this creates some exciting development scenarios.

2007-06-22

1,640 reads

External Article

Using OVER() with Aggregate Functions

One of new features in SQL 2005 that I haven't seen much talk about is that you can now add aggregate functions to any SELECT (even without a GROUP BY clause) by specifying an OVER() partition for each function. Unfortunately, it isn't especially powerful, and you can't do running totals with it, but it does help you make your code a little shorter and in many cases it might be just what you need.

2007-06-20

3,806 reads

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Forums

Refactoring SQL Code

By Steve Jones - SSC Editor

Comments posted to this topic are about the item Refactoring SQL Code, which is...

The Read Committed Snapshot Isolation behaviour

By Alessandro Mortola

Comments posted to this topic are about the item The Read Committed Snapshot Isolation...

Working with JSON/JSONB Data in PostgreSQL using Python

By sabyda

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Question of the Day

The Read Committed Snapshot Isolation behaviour

I am currently working with Sql Server 2022 and AdventureWorks database. First of all, let's set the "Read Committed Snapshot" to ON:

use master;
go

alter database AdventureWorks set read_committed_snapshot on with no_wait;
go
Then, from Session 1, I execute the following code:
--Session 1
use AdventureWorks;
go

create table ##t1 (id int, f1 varchar(10));
go

insert into ##t1 values (1, 'A');
From another session, called Session 2, I open a transaction and execute the following update:
--Session 2
use AdventureWorks;
go

begin tran;
update ##t1 
set f1 = 'B'
where id = 1;
Now, going back to Session 1, what happens if I execute this statement?
--Session 1
select f1
from ##t1
where id = 1;
 

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