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The compelling case for using heaps

2016-09-012016-09-03 / Daniel Hutmacher / 10 Comments

I’m an outspoken advocate of always using a clustered index on each and every table you create as a matter of best practice. But even I will agree that there’s a case for using the odd heap now and then.

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Using DELETE on subqueries and common table expressions

2013-10-272013-09-30 / Daniel Hutmacher / Leave a comment

Here’s an interesting feature I found in the code of a colleague the other day. A common task in T-SQL is eliminating duplicate records. This became a lot easier with the introduction of windowed functions way back in SQL Server 2005, such as ROW_NUMBER(), but it turns out, I’ve still been missing out on a really simple and cool solution.

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The assert operator and different types of updates

2013-09-292013-09-27 / Daniel Hutmacher / 1 Comment

When you update a column that is tied to a foreign key constraint, SQL Server needs to validate (called “assert“) the new value, in order to make sure that you haven’t added a value with no matching primary key. But in some situations, it’ll assert more than just the column(s) you updated.

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Cool MERGE features you may not know about

2013-08-042013-07-24 / Daniel Hutmacher / 18 Comments

The MERGE statement is a really powerful way to create what’s called “upserts”. In this article, I’ll take a more detailed look at how you can make the best use of MERGE and I’ll also show you some cool tricks I picked up along the way.

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Using MERGE to insert, delete and update all-in-one

2013-03-172017-07-25 / Daniel Hutmacher / 4 Comments

As of SQL Server 2008, there’s a new powerful consolidation statement in the DML toolbox: MERGE. Using MERGE, you can perform so-called “upserts”, i.e. one statement that performs an insert, delete and/or update in a single statement. And, more importantly, with just a single join.

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Using OUTPUT with DML statements

2013-03-102017-07-25 / Daniel Hutmacher / 3 Comments

The OUTPUT clause allows you to combine DML statements with a kind of SELECT statement on the rows affected by the DML operation. This is a powerful way to visualize what records were touched by your statement, or an easy way to build an auditing mechanism.

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