3 SQL Tricks To Use When Query Building

I write hundreds of lines of SQL every day, and that’s just for my day job. This repetition has allowed me to realize some exceptional tricks. Simple SQL tricks which help me write cleaner code, code that is easier to troubleshoot, guarantees more accurate data sets and is easier to manage as the query grows. So, here are three SQL tricks that I consistently use in every query I write:

SQL Tricks and Tips to use in every day query writing.
SQL Tricks and Tips to use in every day query writing.

SQL Tricks WHERE 1 = 1

This is one of my favorite SQL tricks that always causes people confusion when looking at my queries. I’ll reiterate this again later, but this is NOT a production ready trick, this is merely a tool to help make troubleshooting easier.

How does the WHERE 1=1 trick work?
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Distinct Vs Group By: Which is really better?

Let’s chat about the distinct vs group by clause: I often see the misuse of GROUP BY with no aggregates when a DISTINCT would suffice. However, I more often see the misuse of a DISTINCT when a GROUP BY is more practical. I wanted to talk about some, maybe not-so-obvious, reasons to use one over the other. I won’t go into what the functional differences are, but more so the practical differences.

But first, is there really a technological difference between using DISTINCT vs a GROUP BY (sans aggregates, of course)? The quick answer is that it depends on the system, there could be differences between the optimizer on one of the many DBMS out there. However, in my tests, the likely more accurate answer is simply, No.

These two queries not only produce the exact same result set, they produce the exact same query plans too. To see for yourself, take a look here. (Tested on SQL Server, Oracle, and Teradata)

Query plan of distinct vs group by
Query plan showing the similarities between a distinct and a group by clause.

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You’re Doing It Wrong. Hopefully, I’m not.

This blog will be my virtual valet of knowledge that oozes out from time to time. I wanted a place that I could share my thoughts as my career advances and confidently build a platform to represent who I am, what I do and my thoughts on the subject of data & analytics.

Throughout my storied career in IT, I’ve made lots of mistakes. It’s those mistakes that have made me the arrogant jackass subject matter expert I am today. Working with seasoned rock stars, high-priced consultants, and everyone in between (You see what I did there?). So, it’s not a problem that you’re doing it wrong; the problem is that hopefully, I’m not.

The posts you’ll read on this site will be about all the dialogue that comes from us trying our best, failing early, and failing often.

Hope you enjoy it. Now, it’s time to fill this mug with some content!