You can have the information_schema build the entire query for you and execute it as Dynamic SQL (Prepared Statements as @a1ex07 first mentioned):
SELECT CONCAT('SELECT * FROM (SELECT bar_id,bar_weight FROM ',
GROUP_CONCAT(tb SEPARATOR
' WHERE foo_id=1 UNION SELECT bar_id,bar_weight FROM '),
' WHERE foo_id=1) as res order by res.bar_weight desc limit 0, 5')
INTO @foo_query FROM
(
select CONCAT(table_schema,'.',table_name) tb
from information_schema.tables
where table_name like 'foo_reference%'
) A;
SELECT @foo_query\G
PREPARE stmt FROM @foo_query;
EXECUTE stmt;
DEALLOCATE PREPARE stmt;
First, let's make some sample tables with sample data:
DROP DATABASE IF EXISTS timpost1;
DROP DATABASE IF EXISTS timpost2;
CREATE DATABASE timpost1;
CREATE DATABASE timpost2;
use timpost1
CREATE TABLE cookie_cutter
(
foo_id int,
bar_id int,
bar_weight int,
primary key (foo_id)
) ENGINE=MyISAM;
CREATE TABLE timpost1.foo_reference1 LIKE timpost1.cookie_cutter;
CREATE TABLE timpost1.foo_reference2 LIKE timpost1.cookie_cutter;
CREATE TABLE timpost1.foo_reference3 LIKE timpost1.cookie_cutter;
CREATE TABLE timpost2.foo_reference1 LIKE timpost1.cookie_cutter;
CREATE TABLE timpost2.foo_reference2 LIKE timpost1.cookie_cutter;
CREATE TABLE timpost2.foo_reference3 LIKE timpost1.cookie_cutter;
INSERT INTO timpost1.foo_reference1 VALUES (1,17,10),(2,3,20);
INSERT INTO timpost1.foo_reference2 VALUES (1,27,90),(2,3,20);
INSERT INTO timpost1.foo_reference3 VALUES (1,37,40),(2,3,20);
INSERT INTO timpost2.foo_reference1 VALUES (1,47,70),(2,3,20);
INSERT INTO timpost2.foo_reference2 VALUES (1,57,20),(2,3,20);
INSERT INTO timpost2.foo_reference3 VALUES (1,67,50),(2,3,20);
Here are the sample tables being made and loaded:
mysql> DROP DATABASE IF EXISTS timpost1;
Query OK, 4 rows affected (0.03 sec)
mysql> DROP DATABASE IF EXISTS timpost2;
Query OK, 3 rows affected (0.02 sec)
mysql> CREATE DATABASE timpost1;
Query OK, 1 row affected (0.00 sec)
mysql> CREATE DATABASE timpost2;
Query OK, 1 row affected (0.00 sec)
mysql> use timpost1
Database changed
mysql> CREATE TABLE cookie_cutter
-> (
-> foo_id int,
-> bar_id int,
-> bar_weight int,
-> primary key (foo_id)
-> ) ENGINE=MyISAM;
Query OK, 0 rows affected (0.03 sec)
mysql> CREATE TABLE timpost1.foo_reference1 LIKE timpost1.cookie_cutter;
Query OK, 0 rows affected (0.05 sec)
mysql> CREATE TABLE timpost1.foo_reference2 LIKE timpost1.cookie_cutter;
Query OK, 0 rows affected (0.05 sec)
mysql> CREATE TABLE timpost1.foo_reference3 LIKE timpost1.cookie_cutter;
Query OK, 0 rows affected (0.05 sec)
mysql> CREATE TABLE timpost2.foo_reference1 LIKE timpost1.cookie_cutter;
Query OK, 0 rows affected (0.06 sec)
mysql> CREATE TABLE timpost2.foo_reference2 LIKE timpost1.cookie_cutter;
Query OK, 0 rows affected (0.05 sec)
mysql> CREATE TABLE timpost2.foo_reference3 LIKE timpost1.cookie_cutter;
Query OK, 0 rows affected (0.05 sec)
mysql> INSERT INTO timpost1.foo_reference1 VALUES (1,17,10),(2,3,20);
Query OK, 2 rows affected (0.00 sec)
Records: 2 Duplicates: 0 Warnings: 0
mysql> INSERT INTO timpost1.foo_reference2 VALUES (1,27,90),(2,3,20);
Query OK, 2 rows affected (0.00 sec)
Records: 2 Duplicates: 0 Warnings: 0
mysql> INSERT INTO timpost1.foo_reference3 VALUES (1,37,40),(2,3,20);
Query OK, 2 rows affected (0.00 sec)
Records: 2 Duplicates: 0 Warnings: 0
mysql> INSERT INTO timpost2.foo_reference1 VALUES (1,47,70),(2,3,20);
Query OK, 2 rows affected (0.02 sec)
Records: 2 Duplicates: 0 Warnings: 0
mysql> INSERT INTO timpost2.foo_reference2 VALUES (1,57,20),(2,3,20);
Query OK, 2 rows affected (0.00 sec)
Records: 2 Duplicates: 0 Warnings: 0
mysql> INSERT INTO timpost2.foo_reference3 VALUES (1,67,50),(2,3,20);
Query OK, 2 rows affected (0.00 sec)
Records: 2 Duplicates: 0 Warnings: 0
mysql>
Now let's build the query and execute it:
mysql> SELECT CONCAT('SELECT * FROM (SELECT bar_id,bar_weight FROM ',
-> GROUP_CONCAT(tb SEPARATOR
-> ' WHERE foo_id=1 UNION SELECT bar_id,bar_weight FROM '),
-> ' WHERE foo_id=1) as res order by res.bar_weight desc limit 0, 5')
-> INTO @foo_query FROM
-> (
-> select CONCAT(table_schema,'.',table_name) tb
-> from information_schema.tables
-> where table_name like 'foo_reference%'
-> ) A;
Query OK, 1 row affected (0.02 sec)
mysql> SELECT @foo_query\G
*************************** 1. row ***************************
@foo_query: SELECT * FROM (SELECT bar_id,bar_weight FROM timpost1.foo_reference1 WHERE foo_id=1 UNION SELECT bar_id,bar_weight FROM timpost1.foo_reference2 WHERE foo_id=1 UNION SELECT bar_id,bar_weight FROM timpost1.foo_reference3 WHERE foo_id=1 UNION SELECT bar_id,bar_weight FROM timpost2.foo_reference1 WHERE foo_id=1 UNION SELECT bar_id,bar_weight FROM timpost2.foo_reference2 WHERE foo_id=1 UNION SELECT bar_id,bar_weight FROM timpost2.foo_reference3 WHERE foo_id=1) as res order by res.bar_weight desc limit 0, 5
1 row in set (0.01 sec)
mysql> PREPARE stmt FROM @foo_query;
Query OK, 0 rows affected (0.01 sec)
Statement prepared
mysql> EXECUTE stmt;
+--------+------------+
| bar_id | bar_weight |
+--------+------------+
| 27 | 90 |
| 47 | 70 |
| 67 | 50 |
| 37 | 40 |
| 57 | 20 |
+--------+------------+
5 rows in set (0.00 sec)
mysql> DEALLOCATE PREPARE stmt;
Query OK, 0 rows affected (0.00 sec)
mysql>
CAVEAT
Notice that the query will cross check all databases in the mysql instance that starts with foo_reference. In the above example, both timpost1 and timpost2 were checked.
Also, notice that the subquery will get 6 rows, and the limit 0,5
properly displays the first 5 rows of the subquery.
Give it a Try !!!