如何使用 MySQL 从不确定数量的表中选择使用相同的字段？

Question

我正在处理一个 MySQL 数据库，其中有数量不确定的相同结构的表，如下所示：

foo_reference1
foo_reference2
foo_referencea
foo_referenceb
....
foo_referencez

该表中的所有包含的字段foo_id，bar_id以及bar_weight。我需要获取bar_id按bar_weight（降序）排序的前五个字段，其中foo_id等于每个表中的某个值。

问题是，没有两台服务器会拥有完全相同数量的表或相同的名称。但是，它们总是以foo_reference. 我需要在几十个地方运行它。在理想的世界中，只会有一个正确索引的foo_reference表，不幸的是，更改是不可能的。

最初，我尝试仅SHOW TABLES LIKE 'foo_reference%'在子查询中使用以构建必须查询的表列表。显然，MySQL不喜欢这样，所以我直接查询了信息模式：

select bar_id, bar_weight from
(
    select table_name as name
    from information_schema.tables as tmp
    where tmp.table_name like 'foo_reference%'
) as res
where res.foo_id = '1'
order by res.bar_weight desc
limit 0, 5;

MySQL 告诉我这bar_id是字段列表中的未知列。当我自己运行子查询时，它返回需要查询的表列表。

我做错了什么？我想要的是bar_id每个表中的前 5 个字段，其中foo_id是某个数字。正如您所看到的，当我来到这里时，我正在做一些学习（以及很多猜测）。

Answer 1

您可以让 information_schema为您构建整个查询并将其作为动态 SQL 执行（准备好的语句如 @a1ex07 首先提到的）：

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;

首先，让我们用示例数据制作一些示例表：

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);

以下是正在制作和加载的示例表：

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>

现在让我们构建查询并执行它：

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>

警告

请注意，该查询将交叉检查 mysql 实例中以 foo_reference 开头的所有数据库。在上面的示例中，同时检查了 timpost1 和 timpost2。

另请注意，子查询将获取 6 行，并且limit 0,5正确显示子查询的前 5 行。

试一试 ！！！