A very common misconception I often encounter with SQL users is the idea that DISTINCT
is something like a function, and that it can take parenthesised arguments. Just recently, I’ve seen this Stack Overflow question where the OP was looking for a way to express this in jOOQ:
SELECT DISTINCT (emp.id), emp.fname, emp.name FROM employee emp;
Notice the parentheses around (emp.id)
, which look as though this is some special kind of DISTINCT
usage, which is akin to a DISTINCT
function. The idea is often that:
- The behaviour is somewhat different from omitting the parentheses
- The performance is faster, because only the ID needs to be considered for distinctness
This is incorrect
These claims are incorrect, of course. There is no semantic or performance difference between the two. The parentheses are merely parentheses around a column expression, in a similar way as you would use parentheses to influence operator precedence. Think of it this way:
SELECT DISTINCT (emp.id + 1) * 2, emp.fname, emp.name FROM employee emp;
In the above example, we do not apply a “DISTINCT function” to the expression emp.id + 1
. We merely placed parentheses around a column expression emp.id + 1
to make sure the addition happens before the multiplication. The DISTINCT
operator happens after the projection, always. If SQL had used a more logical syntax, rather than following English grammar (it was originally called Structured English QUEry Language, or SEQUEL), then we would write the OP’s statement like this:
FROM employee SELECT id, fname, name DISTINCT
Again, the DISTINCT
operation always happens after the projection (SELECT
clause content), and is applied to the entirety of the projection. There is no way in standard SQL to apply distinctness only to parts of the projection (there is in PostgreSQL, see further down).
To clarify this a bit more, I recommend reading our previous blog post about the logical order of operations in SQL, and how DISTINCT and ORDER BY are related.
What would it mean anyway?
We can revert the question back to the OP and ask ourselves, what would it mean for a DISTINCT
operation to apply to only one column, anyway? Let’s assume this data set:
|id |fname|name| |---|-----|----| |1 |A |A | |1 |B |B |
If we applied DISTINCT
only to the ID column (and didn’t project anything else), clearly, we’d only get one row as a result:
SELECT DISTINCT id FROM employee
|id | |---| |1 |
But if we wanted to also project FNAME
and NAME
, which row would “win”? Would we display the first or the second row, or any random row? The behaviour would be undefined, and SQL doesn’t like undefined behaviour, so this is not possible. The only reasonable application of DISTINCT
is always on the entire projection.
Exception: PostgreSQL
Fortunately (or to add more to syntactic confusion: unfortunately), PostgreSQL has implemented an extension to the SQL standard. With DISTINCT ON
, it is effectively possible to apply distinctness only to parts of the projection:
WITH emp (id, fname, name) AS ( VALUES (1, 'A', 'A'), (1, 'B', 'B') ) SELECT DISTINCT ON (id) id, fname, name FROM emp ORDER BY id, fname, name
The output is now what the OP desired (but couldn’t use, because they were using MySQL):
|id |fname|name | |-----------|-----|-----| |1 |A |A |
I personally don’t like DISTINCT ON
. While it is very useful, no doubt, it makes something that is already very difficult to explain to SQL beginners even more complicated. With a “more reasonable” syntax, the query would be written like this:
FROM emp SELECT id, fname, name ORDER BY id, fname, name DISTINCT ON (id)
With this syntactic order of operation, there would be no doubt about the semantics of DISTINCT
or DISTINCT ON
.