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Please Format your Squeel!!!

This might be short… Mostly a rant on the lack of etiquette most developers have when it comes to writing SQL.

There are two things that irritate me without end when it comes to reading other peoples SQL:

  1. Abuse of ALIAS
  2. Omitting of a field’s source table in the SELECTed fields
  3. Lack of or inconsistent formatting of code

1. Abuse of ALIAS

What do I mean by abuse of ALIAS? The majority of developers tend to use ALIAS to shorten names of database objects to one letter names. I do not fully understand why they do this but as far as I can tell, they do this to save a few keystrokes. For example for a table named people, some efficiency expert will alias the table name to p to save himself the trouble of hitting 5 letters on his keyboard. I do sort of understand this reasoning, however I think the cost of doing this far outweighs the percieved efficiency gains.

By doing this crazy aliasing you make the query harder to understand. Let’s look at an example to help me make my point:

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SELECT
  p.name,
  p.dob,
  p.gender,
  a.city,
  a.village,
  a.district
FROM people AS p
LEFT JOIN address AS a
  ON a.id = p.person_id

When reading the query above, you start from the top. You look at the SELECT followed by the list of fields being selected and so on. Now the first time you get to the list of selected fields, you will not be able to make any sense of what you are seeing without having any prior information. In the query what exactly is p.name supposed to be? A name of a pharmacy or a name of pants??? Of course, from the above you can guess that this is a name of person but still my point stands. For you to make sense of what p is, you must scan ahead to the FROM part of the query to see what p is. From that point on you need to maintain in your head that p = people. If there are a couple of more tables being joined to, then you have to maintain a mapping of all those aliases and must continuously substitute those aliases throughout the query. The query in itself might be complex and for some super self serving reason you decide to add unnecessary complexity to the query.

Imagine if we did this in every program we write (granted Go developers do it, but those guys are nuts). Every variable is aliased to some short one letter name. Reading code would become such a laborious task. We can agree that most of us enjoy writing code not reading it. So let’s try to avoid making an already boring task even more painful than it already is.

So where do I think aliases should be used?

I think aliases should be used to add more context to a query or remove unnecessary context.

Adding more context to a query… Let’s look at the following query:

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SELECT
  employees.name,
  employees.dob,
  employees.gender
FROM people AS employees
WHERE employees.type = 'Employee'

In the above query, I am trying to select all people that are employees. So by aliasing people to employees, I am effectively adding a bit more context to every reference I have of people in my query. A reader of the query sees employees and they understand what that is immediately, without needing to read ahead and track back.

Another reason for aliasing is to remove unnecessary context. On this reason, I am kind of on the fences but there are places where I think it doesn’t really do any harm. Consider the following query:

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SELECT
  people.name,
  people.dob,
  people.gender
FROM human_resource__people AS people

In the query above, there is this funny namespacing of tables that’s going on. If you have used something like Django then you have probably run into this. Basically a Django project is an umbrella project to which you add a bunch of small applications (kind of bounded contexts in Domain Driven Design). Each application is namespaced in the database. So multiple applications can have a domain model with the same name. Now in the query above we are simply interested in people from the human_resources context. Continuously repeating that fact in the query does not really add much value. If you are looking at that query in an application then that fact must be implicit in the name given to that query.

2. Omitting of a field’s source in SELECT blocks

It’s quite common for people to omit table names when referencing field names in a query. An example:

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SELECT
  name,
  dob,
  gender,
  city,
  village,
  district
FROM people
LEFT JOIN address
  ON address.id = people.person_id
WHERE
  primary = TRUE

The query above is selecting fields from two different tables. You can’t simply look at that query and easily tell where any of the fields are coming from. Is city from people or from address? And to make matters worse there is a field called primary that is being reference in the WHERE part of the query. Where the hell is that field coming from? Need I say more?

My general recommendation on this is to never omit the source table names whenever a query directly references two or more tables. If you have subqueries in conditions and that kind of stuff, this really doesn’t apply. The only time you are free to omit the table names is when you only have a FROM that references one table without any JOINs. The context in such cases is unambiguous, no need to remind me of it.

3. Lack of or inconsistent formatting

This one bugs me a lot… Everytime I see it I tend to question the sanity of the person that was writing the query. It’s a clear lack of organisation that can only come from being brain damaged. Let’s start with an example:

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select
people.name
,people.dob
,people.gender, address.city, address.village,
address.district from people left join address on address.id = person.person_id
left join identifiers
on identifiers.person_id = people.id
where people.type = 'Employee'

Reading code generally relies on visual cues. It’s rare for anyone that has been programming for a while to read code line by line. You do go line by line when you want to zone in on a particular section of the code but for the rest it’s mostly scanning of the code and quickly identifying patterns in the code (this is why idioms matter in programming). Going to the query above it’s very difficult to identify different sections of the query as it is. Say for example you want to add a new JOIN to the query, you can’t simply jump to a specific part of the query and make the change. You need to read every single line of that query to identify where you need to make the change (granted you can just search for join and add your thing right before it). Combine this with the other two problems mentioned in this article, you have a serious problem on your hands.

Now let’s format the query and see how it improves things:

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SELECT
  people.name,
  people.dob,
  people.gender,
  address.city,
  address.village,
  address.district
FROM people
LEFT JOIN address
  ON address.id = person.person_id
LEFT JOIN identifiers
  ON identifiers.person_id = people.id
WHERE
  people.type = 'Employee'

Better, isn’t it? You can easily identify different blocks in the code. Even if you aren’t familiar with this style, you can easily jump to a specific part of the code and make changes. That’s the style I use but you are free to go with one that makes the most sense to you rather than nothing at all.

A bit of an explanation of the style I go with:

  • Use indentation to indicate that a block directly supports the statement above. The block is more of a qualifier for the statement above. So if you aren’t interested in the statement above, you can happily ignore the entire indented block that follows it.
  • Use CamelCase or snake_case for identifiers
  • Uppercase all SQL keywords to make them stand out from identifiers
  • In JOIN conditions always lead with the identifiers from the table being joined to. That is:
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LEFT JOIN address
  address.value = some_other_table.value

-- Not

LEFT JOIN address
  some_other_table.value = address.value

I have more rules that I follow in my queries but these are the primary ones and they help me easily make sense of my queries. As a bonus, most times when I deviate from this style it indicates to me that I am doing something wrong.

This post is licensed under CC BY 4.0 by the author.