In the following example, why does the min()
query return results, but the max()
query does not?
mysql> create table t(id int, a int);
Query OK, 0 rows affected (0.10 sec)
mysql> insert into t(id, a) values(1, 1);
Query OK, 1 row affected (0.03 sec)
mysql> insert into t(id, a) values(1, 2);
Query OK, 1 row affected (0.02 sec)
mysql> select * from t
-> ;
+------+------+
| id | a |
+------+------+
| 1 | 1 |
| 1 | 2 |
+------+------+
2 rows in set (0.00 sec)
mysql> select * from t where a < 4;
+------+------+
| id | a |
+------+------+
| 1 | 1 |
| 1 | 2 |
+------+------+
2 rows in set (0.00 sec)
mysql> select * from t where a < 4 having a = max(a);
Empty set (0.00 sec)
mysql> select * from t where a < 4 having a = min(a);
+------+------+
| id | a |
+------+------+
| 1 | 1 |
+------+------+
1 row in set (0.00 sec)
Aggregate functions are not allowed because the WHERE clause is used for filtering data before aggregation. So while WHERE isn't for aggregation, it has other uses. To filter data based on an aggregate function result, you must use the HAVING clause.
To select first 10 elements from a database using SQL ORDER BY clause with LIMIT 10. Insert some records in the table using insert command. Display all records from the table using select statement.
GROUP BY without Aggregate Functions Although most of the times GROUP BY is used along with aggregate functions, it can still still used without aggregate functions — to find unique records.
COUNT, SUM, and MAX are all aggregate functions. COMPUTE is not an aggregate function.
The HAVING
clause is used to filter groups of rows. You reference min(a)
and max(a)
which (in the absence of any GROUP BY
clause) aggregate over all a
values in the table but then use a comparison against a single a
value.
So which a
value is MySQL supposed to use? All other RDBMSs that I know of would throw an error at this point however MySQL does allow this. From the docs
Standard SQL does not permit the
HAVING
clause to name any column not found in theGROUP BY
clause unless it is enclosed in an aggregate function. MySQL permits the use of such columns to simplify calculations. This extension assumes that the nongrouped columns will have the same group-wise values. Otherwise, the result is indeterminate.
So in your case from the results you are getting it appears that it ended up using 1
as the scalar value for a
but this behaviour is not guaranteed and it could equally well have used 2
or any other existing a
value.
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