MySQL with JOIN and GROUP BY optimizations. Is it possible?

I have two tables: gpnxuser and key_value

mysql> describe gpnxuser;
+--------------+--------------+------+-----+---------+----------------+
| Field        | Type         | Null | Key | Default | Extra          |
+--------------+--------------+------+-----+---------+----------------+
| id           | bigint(20)   | NO   | PRI | NULL    | auto_increment |
| version      | bigint(20)   | NO   |     | NULL    |                |
| email        | varchar(255) | YES  |     | NULL    |                |
| uuid         | varchar(255) | NO   | MUL | NULL    |                |
| partner_id   | bigint(20)   | NO   | MUL | NULL    |                |
| password     | varchar(255) | YES  |     | NULL    |                |
| date_created | datetime     | YES  |     | NULL    |                |
| last_updated | datetime     | YES  |     | NULL    |                |
+--------------+--------------+------+-----+---------+----------------+

and

mysql> describe key_value;
+----------------+--------------+------+-----+---------+----------------+
| Field          | Type         | Null | Key | Default | Extra          |
+----------------+--------------+------+-----+---------+----------------+
| id             | bigint(20)   | NO   | PRI | NULL    | auto_increment |
| version        | bigint(20)   | NO   |     | NULL    |                |
| date_created   | datetime     | YES  |     | NULL    |                |
| last_updated   | datetime     | YES  |     | NULL    |                |
| upkey          | varchar(255) | NO   | MUL | NULL    |                |
| user_id        | bigint(20)   | YES  | MUL | NULL    |                |
| security_level | int(11)      | NO   |     | NULL    |                |
+----------------+--------------+------+-----+---------+----------------+

key_value.user_id is an FK that references gpnxuser.id. I also have an index in gpnxuser.partner_id, which is an FK that refers to a table called "partner" (which, I think, doesn't really matter for this question).

For partner_id = 64, I have 500K lines in gpnxuser that have a relationship with about 6M lines in key_value.

I wanted to have a query that returned all the different "key_value.upkey" for a user belonging to this partner. I did something like this:

select upkey from gpnxuser join key_value on gpnxuser.id=key_value.user_id where partner_id=64 group by upkey;

which is done forever. The explanation for the request is as follows:

mysql> explain select upkey from gpnxuser join key_value on gpnxuser.id=key_value.user_id where partner_id=64 group by upkey;

    +----+-------------+-----------+------+----------------------------+--------------------+---------+-----------------------------+--------+----------------------------------------------+
    | id | select_type | table     | type | possible_keys              | key                | key_len | ref                         | rows   | Extra                                        |
    +----+-------------+-----------+------+----------------------------+--------------------+---------+-----------------------------+--------+----------------------------------------------+
    |  1 | SIMPLE      | gpnxuser  | ref  | PRIMARY,FKB2D9FEBE725C505E | FKB2D9FEBE725C505E | 8       | const                       | 259640 | Using index; Using temporary; Using filesort |
    |  1 | SIMPLE      | key_value | ref  | FK9E0C0F912D11F5A9         | FK9E0C0F912D11F5A9 | 9       | gpnx_finance_db.gpnxuser.id |     14 | Using where                                  |
    +----+-------------+-----------+------+----------------------------+--------------------+---------+-----------------------------+--------+----------------------------------------------+

: , , ?

+5
2

, , EXISTS: , .

select upkey from (select distinct upkey from key_value) upk 
where EXISTS 
    (select 1 from gpnxuser u, key_value kv 
     where u.id=kv.user_id and partner_id=1 and kv.upkey = upk.upkey)

NB. : .

select DISTINCT upkey from gpnxuser join key_value on 
gpnxuser.id=key_value.user_id where partner_id=1
+1

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