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SQL

Comparing Performance of TOP vs. MAX

Both TOP (1) and MAX can be used to identify the largest value in a data set. Whilst they get the same result it isn’t necessarily in the same way. Firstly, what is the difference between the two? The TOP clause limits the number of results which are returned from a query, in this instance we’re focussing on a single result. […]

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SQL

A Bit About Trivial Plans

A Trivial plan is created when SQL Server really doesn’t have any choice in how it’s going to execute. Here’s an example from the StackOverflow database with the indexes removed: There really isn’t any choice but a clustered index seek. It’s the only index and its about as effective as we can get given we’re filtering on […]

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SQL

How Effective Indexing Can Avoid Blocking

Blocking in SQL Server will reduce throughput. Excessive blocking can be cause bottlenecks on our environments so helping to mitigate it. Here we’re going back to basics to look at how it happens and how having effective indexes can reduce it. Blocking We’ll start off with an example of blocking. Here’s our customer table and […]

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SQL

Optimising DISTINCT Clauses using EXISTS

The DISTINCT clause in a query can help us quickly remove duplicates from our results. Sometimes it can be beneficial to stop and ask why. Why do we need to use the clause, why are we receiving duplicates from our data? I see this typically due to a JOIN being used where we don’t really want all of those results. This could […]

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SQL

Solving Deadlocks with Application Locks

Deadlocks are an enduring feature of SQL Server. They’ve been a source of pain for many over the years and there are various ways to diagnose, mitigate or resolve them. Here I want to demonstrate approach I haven’t seen discussed – using an application lock to segregate processes. An example where I’ve used this effectively […]

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SQL

A Focus on TRY_PARSE Functionality

In the previous post we looked at the functions TRY_CAST, TRY_CONVERT, and TRY_PARSE and how they compared. I wrapped up and said that my preference for new developments would be to use TRY_PARSE due to the tighter control which it provides us. As with everything in SQL Server however, there is no ‘best’ approach, it depends. I therefore wanted […]

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SQL

Comparing TRY Functions for Numeric Conversion

In the previous post we looked at how ISNUMERIC and TRY_CAST work and why we may want to utilise the latter when building validation for our data. When SQL Server 2012 rolled around it wasn’t only TRY_CAST which was added, we also had TRY_CONVERT and TRY_PARSE introduced too. Here we’re going to look at how […]

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SQL

Numeric Data Validation

Data validation is key when ingesting from external sources. As we can’t always be certain of data quality we inevitably find bad data which needs to be handled. Here I wanted to look at a couple of options for validating numeric data. Here’s the scenario – we’ve got data which may have been received via […]

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SQL

Optimising Sort Operators in Window Functions

We’re on quite a roll with window functions these past few weeks. Last week we looked at the operators we’d see in execution plans when using a window function. This week I wanted to tackle one of the more troublesome ones specifically: the Sort operator. We know that sort operators are expensive in our queries. To use […]

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SQL

Anatomy of a Window Function Execution Plan

After last week’s post I got to thinking that although we’ve looked at how to implement window functions, we haven’t peeked under the hood to see how they are executed. Then what do you know, Kevin has picked up my post to provide an alternative approach. He observed that whilst his approach was more straightforward it produced a more […]