MySQL federated引擎试验

2019独角兽企业重金招聘Python工程师标准>>>

如果写的不对的地方，欢迎各位提意见。
可以在数据非常大的时候起到分发表或者库到不同的服务器。减少每个服务器的IO。
首先看看有没有federated 引擎。
mysql> show engines;
+------------+----------+----------------------------------------------------------------+
| Engine     | Support  | Comment                                                        |
+------------+----------+----------------------------------------------------------------+
| MyISAM     | DEFAULT  | Default engine as of MySQL 3.23 with great performance         |
| MEMORY     | YES      | Hash based, stored in memory, useful for temporary tables      |
| InnoDB     | YES      | Supports transactions, row-level locking, and foreign keys     |
| BerkeleyDB | NO       | Supports transactions and page-level locking                   |
| BLACKHOLE  | YES      | /dev/null storage engine (anything you write to it disappears) |
| EXAMPLE    | YES      | Example storage engine                                         |
| ARCHIVE    | YES      | Archive storage engine                                         |
| CSV        | YES      | CSV storage engine                                             |
| ndbcluster | DISABLED | Clustered, fault-tolerant, memory-based tables                 |
| FEDERATED  | YES      | Federated MySQL storage engine                                 |
| MRG_MYISAM | YES      | Collection of identical MyISAM tables                          |
| ISAM       | NO       | Obsolete storage engine                                        |
+------------+----------+----------------------------------------------------------------+
12 rows in set (0.00 sec)

A(192.168.0.233:3306)
B(192.168.0.233:3307)
C(192.168.0.233:3308)
D(192.168.0.234:3306)
在A、B、C、D 分别创建数据库。
mysql> create database t_boy;
Query OK, 1 row affected (0.00 sec)
mysql> use t_boy;
Database changed
在B、C上分别创建授权用户。
mysql> grant all privileges on t_boy.* to root@'%' identified by '123456';
Query OK, 0 rows affected (0.00 sec)

mysql> flush privileges;
Query OK, 0 rows affected (0.00 sec)
在B主机上：
mysql> create table t_tableB (id int not null auto_increment primary key, c_str char(20) not null) engine myisam;
Query OK, 0 rows affected (0.00 sec)
mysql> show tables;
+-----------------+
| Tables_in_t_boy |
+-----------------+
| t_table         |
+-----------------+
1 row in set (0.00 sec)
在C主机上：
mysql> create table t_tableC (id int not null auto_increment primary key, c_str char(20) not null) engine myisam;
Query OK, 0 rows affected (0.00 sec)
mysql> show tables;
+-----------------+
| Tables_in_t_boy |
+-----------------+
| t_table         |
+-----------------+
1 row in set (0.00 sec)

关于创建FEDERATED引擎的方法详细见手册。
在A主机上：

mysql> create table t_1 (id int not null auto_increment primary key, c_str char(20) not null) engine federated connection = 'mysql://root:[email protected]:3307/t_boy/t_tableB';
Query OK, 0 rows affected (0.04 sec)

mysql> create table t_2 (id int not null auto_increment primary key, c_str char(20) not null) engine federated connection = 'mysql://root:[email protected]:3308/t_boy/t_tableC';
Query OK, 0 rows affected (0.03 sec)
mysql> insert into t_1(c_str) values (rand());
Query OK, 1 row affected (0.53 sec)

mysql> insert into t_2(c_str) values (rand());
Query OK, 1 row affected (0.03 sec)
可以像在一个主机上进行操作。

mysql> select t_1.*,t_2.* from t_1 inner join t_2 using(id);
+----+----------------+----+------------------+
| id | c_str | id | c_str |
+----+----------------+----+------------------+
| 1 | 0.304819039353 | 1 | 0.24238659184648 |
+----+----------------+----+------------------+
1 row in set (0.00 sec)
插入百万级别的数据后
mysql> select t_1.*,t_2.* from t_1 inner join t_2 using(id) limit 20;
+----+----------------------+----+----------------------+
| id | c_str | id | c_str |
+----+----------------------+----+----------------------+
| 1 | 0.304819039353 | 1 | 0.24238659184648 |
| 2 | 1.304819039353 | 2 | 1.2423865918465 |
| 3 | 1.304819039352999920 | 3 | 1.242386591846480037 |
| 4 | 2.304819039353000143 | 4 | 2.242386591846500021 |
| 5 | 1.304819039352999920 | 5 | 1.242386591846480037 |
| 6 | 2.304819039353000143 | 6 | 2.242386591846500021 |
| 7 | 2.304819039353000143 | 7 | 2.242386591846480037 |
| 8 | 3.304819039353000143 | 8 | 3.242386591846500021 |
| 9 | 1.304819039352999920 | 9 | 1.242386591846480037 |
| 10 | 2.304819039353000143 | 10 | 2.242386591846500021 |
| 11 | 2.304819039353000143 | 11 | 2.242386591846480037 |
| 12 | 3.304819039353000143 | 12 | 3.242386591846500021 |
| 13 | 2.304819039353000143 | 13 | 2.242386591846480037 |
| 14 | 3.304819039353000143 | 14 | 3.242386591846500021 |
| 15 | 3.304819039353000143 | 15 | 3.242386591846480037 |
| 16 | 4.304819039353000143 | 16 | 4.242386591846500465 |
| 17 | 1.304819039352999920 | 17 | 1.242386591846480037 |
| 18 | 2.304819039353000143 | 18 | 2.242386591846500021 |
| 19 | 2.304819039353000143 | 19 | 2.242386591846480037 |
| 20 | 3.304819039353000143 | 20 | 3.242386591846500021 |
+----+----------------------+----+----------------------+
20 rows in set (0.73 sec)
mysql> select max(id),min(id) from t_1;
+---------+---------+
| max(id) | min(id) |
+---------+---------+
| 1048576 | 1 |
+---------+---------+
1 row in set (1.40 sec)
mysql> select max(id),min(id) from t_2;
+---------+---------+
| max(id) | min(id) |
+---------+---------+
| 1048576 | 1 |
+---------+---------+
1 row in set (1.40 sec)
mysql> update t_2 set id = id +1048576;
Query OK, 1048576 rows affected (2 min 10.38 sec)
Rows matched: 1048576 Changed: 1048576 Warnings: 0
mysql> select max(id),min(id) from t_2;
+---------+---------+
| max(id) | min(id) |
+---------+---------+
| 2097152 | 1048577 |
+---------+---------+
1 row in set (1.63 sec)
mysql> explain select id c_str from t_1 where id between 1 and 1048576;
+----+-------------+-------+-------+---------------+---------+---------+------+------+-------------+
| id | select_type | table | type  | possible_keys | key     | key_len | ref  | rows | Extra       |
+----+-------------+-------+-------+---------------+---------+---------+------+------+-------------+
|  1 | SIMPLE      | t_1   | range | PRIMARY       | PRIMARY | 4       | NULL |    2 | Using where |
+----+-------------+-------+-------+---------------+---------+---------+------+------+-------------+
1 row in set (0.00 sec)

在D主机上
mysql> create table t(id int not null auto_increment primary key, c_str char(20));
Query OK, 0 rows affected (0.00 sec)
插入两百万级别数据后。
mysql> select count(*) from t;
+----------+
| count(*) |
+----------+
| 2097152 |
+----------+
1 row in set (0.00 sec)
mysql> analyze table t;
+---------+---------+----------+----------+
| Table | Op | Msg_type | Msg_text |
+---------+---------+----------+----------+
| t_boy.t | analyze | status | OK |
+---------+---------+----------+----------+
1 row in set (0.37 sec)

mysql> explain select id c_str from t where id between 1 and 1048576;
+----+-------------+-------+-------+---------------+---------+---------+------+---------+--------------------------+
| id | select_type | table | type  | possible_keys | key     | key_len | ref  | rows    | Extra                    |
+----+-------------+-------+-------+---------------+---------+---------+------+---------+--------------------------+
|  1 | SIMPLE      | t     | range | PRIMARY       | PRIMARY | 4       | NULL | 1132065 | Using where; Using index |
+----+-------------+-------+-------+---------------+---------+---------+------+---------+--------------------------+
1 row in set (0.00 sec)

和上面A主机上的查询相比，扫描的行数大减。

插入的速度主要靠网络。
看看A主机上的文件
[root @localhost t_boy]# cd /usr/local/mysql/data/t_boy/
[root @localhost t_boy]# ls -sihl
total 40K
15892559 8.0K -rw-rw---- 1 mysql mysql   61 Feb 28 11:03 db.opt
15892560  16K -rw-rw---- 1 mysql mysql 8.4K Feb 28 11:11 t_1.frm
15892561  16K -rw-rw---- 1 mysql mysql 8.4K Feb 28 11:14 t_2.frm
[root @localhost t_boy]#

这里只有表的定义而没有数据。

手册中关于FEDERATED引擎的介绍：
[url]http://dev.mysql.com/doc/refman/5.1/zh/storage-engines.html#federated-storage-engine[/url]

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