Can scalar functions be applied before filtering when executing a SQL Statement?

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Can scalar functions be applied before filtering when executing a SQL Statement? – This article will take you through the common SQL errors that you might encounter while working with sql, sql-server,  join. The wrong arrangement of keywords will certainly cause an error, but wrongly arranged commands may also be an issue. SQL keyword errors occur when one of the words that the SQL query language reserves for its commands and clauses is misspelled. If the user wants to resolve all these reported errors, without finding the original one, what started as a simple typo, becomes a much bigger problem.

SQL Problem :

I suppose I have always naively assumed that scalar functions in the select part of a SQL query will only get applied to the rows that meet all the criteria of the where clause.

Today I was debugging some code from a vendor and had that assumption challenged. The only reason I can think of for this code failing is that the Substring() function is getting called on data that should have been filtered out by the WHERE clause. But it appears that the substring call is being applied before the filtering happens, the query is failing.
Here is an example of what I mean. Let’s say we have two tables, each with 2 columns and having 2 rows and 1 row respectively. The first column in each is just an id. NAME is just a string, and NAME_LENGTH tells us how many characters in the name with the same ID. Note that only names with more than one character have a corresponding row in the LONG_NAMES table.

    1, "Peter"
    2, "X"
    1, 5

If I want a query to print each name with the last 3 letters cut off, I might first try something like this (assuming SQL Server syntax for now):

SELECT substring(NAME,1,len(NAME)-3)

I would soon find out that this would give me an error, because when it reaches “X” it will try using a negative number for in the substring call, and it will fail.
The way my vendor decided to solve this was by filtering out rows where the strings were too short for the len – 3 query to work. He did it by joining to another table:

SELECT substring(NAMES.NAME,1,len(NAMES.NAME)-3) 
            ON NAMES.ID = LONG_NAMES.ID;

At first glance, this query looks like it might work. The join condition will eliminate any rows that have NAME fields short enough for the substring call to fail.

However, from what I can observe, SQL Server will sometimes try to calculate the the substring expression for everything in the table, and then apply the join to filter out rows. Is this supposed to happen this way? Is there a documented order of operations where I can find out when certain things will happen? Is it specific to a particular Database engine or part of the SQL standard? If I decided to include some predicate on my NAMES table to filter out short names, (like len(NAME) > 3), could SQL Server also choose to apply that after trying to apply the substring? If so then it seems the only safe way to do a substring would be to wrap it in a “case when” construct in the select?

Solution :

Martin gave this link that pretty much explains what is going on – the query optimizer has free rein to reorder things however it likes. I am including this as an answer so I can accept something. Martin, if you create an answer with your link in it i will gladly accept that instead of this one.

I do want to leave my question here because I think it is a tricky one to search for, and my particular phrasing of the issue may be easier for someone else to find in the future.

TSQL divide by zero encountered despite no columns containing 0

EDIT: As more responses have come in, I am again confused. It does not seem clear yet when exactly the optimizer is allowed to evaluate things in the select clause. I guess I’ll have to go find the SQL standard myself and see if i can make sense of it.

Joe Celko, who helped write early SQL standards, has posted something similar to this several times in various USENET newsfroups. (I’m skipping over the clauses that don’t apply to your SELECT statement.) He usually said something like “This is how statements are supposed to act like they work”. In other words, SQL implementations should behave exactly as if they did these steps, without actually being required to do each of these steps.

  1. Build a working table from all of
    the table constructors in the FROM
  2. Remove from the working table those
    rows that do not satisfy the WHERE
  3. Construct the expressions in the
    SELECT clause against the working table.

So, following this, no SQL dbms should act like it evaluates functions in the SELECT clause before it acts like it applies the WHERE clause.

In a recent posting, Joe expands the steps to include CTEs.

CJ Date and Hugh Darwen say essentially the same thing in chapter 11 (“Table Expressions”) of their book A Guide to the SQL Standard. They also note that this chapter corresponds to the “Query Specification” section (sections?) in the SQL standards.

You are thinking about something called query execution plan. It’s based on query optimization rules, indexes, temporaty buffers and execution time statistics. If you are using SQL Managment Studio you have toolbox over your query editor where you can look at estimated execution plan, it shows how your query will change to gain some speed. So if just used your Name table and it is in buffer, engine might first try to subquery your data, and then join it with other table.

Finding SQL syntax errors can be complicated, but there are some tips on how to make it a bit easier. Using the aforementioned Error List helps in a great way. It allows the user to check for errors while still writing the project, and avoid later searching through thousands lines of code.