Additional Articles


External Article

Storing E-mail addresses more efficiently in SQL Server

A lot of people are storing large quantities of e-mail addresses in their systems. Since a large percentage of any system's user base is going to be supplying e-mail addresses from a few of the vastly popular providers (such as GMail and Hotmail), we are storing the "@gmail.com" and "@hotmail.com" parts of those addresses on disk over and over and over again.

2012-03-27

5,974 reads

Technical Article

Using SQL Server's Output Clause

When you are inserting, updating, or deleting records from a table, SQL Server keeps track of the records that are changed in two different pseudo tables: INSERTED, and DELETED. These tables are normally used in DML triggers. If you use the OUTPUT clause on an INSERT, UPDATE, DELETE or MERGE statement you can expose the records that go to these pseudo tables to your application and/or T-SQL code.

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2012-03-26

3,728 reads

Technical Article

Managing and Connecting to AlwaysOn Availability Groups

From the previous AlwaysOn Availability Group article, we provided a name for the availability group listener which is simply a unique DNS name as a Virtual Network Name (VNN) to direct read-write requests to the primary replica and read-only requests to the read-only secondary replica.

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2012-03-22

1,958 reads

Technical Article

Using The AlwaysOn Feature of SQL Server 2012

This is the first in a four-part series on the new AlwaysOn feature in SQL Server 2012. In this article, AlwaysOn is introduced and contrasted with previous high-availability solutions in SQL Server. The second part of the series will commence with a detailed walkthrough on preparing the environment for AlwaysOn

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2012-03-15

3,949 reads

Technical Article

No Significant Fragmentation? Look Closer…

If you are relying on using 'best-practice' percentage-based thresholds when you are creating an index maintenance plan for a SQL Server that checks the fragmentation in your pages, you may miss occasional 'edge' conditions on larger tables that will cause severe degradation in performance. It is worth being aware of patterns of data access in particular tables when judging the best threshold figure to use.

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2012-03-14

3,229 reads

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