本篇内容介绍了“MyCat怎么分库分表”的有关知识，在实际案例的操作过程中，不少人都会遇到这样的困境，接下来就让小编带领大家学习一下如何处理这些情况吧！希望大家仔细阅读，能够学有所成！
项目环境：
192.168.8.30 mycat
192.168.8.31 node1
192.168.8.32 node2
192.168.8.33 node3
三个节点MySQL均为单实例
一、创建测试库
node1
create database testdb01;
create database testdb02;
create database testdb03;node2
create database testdb13;
create database testdb14;
create database testdb15;node3
create database testdb25;
create database testdb26;
create database testdb27;二、配置schema.xml
<?xml version="1.0"?>
<!DOCTYPE mycat:schema SYSTEM "schema.dtd">
<mycat:schema xmlns:mycat="http://io.mycat/">
<schema name="mycatdb" checkSQLschema="false" sqlMaxLimit="100">
<table name="user03" dataNode="dn$1-3,dn$13-15,dn$25-27" rule="auto-sharding-long"></table>
</schema>
<!-- <dataNode name="dn1$0-743" dataHost="localhost1" database="db$0-743"
/> -->
<dataNode name="dn1" dataHost="node1" database="testdb01" />
<dataNode name="dn2" dataHost="node1" database="testdb02" />
<dataNode name="dn3" dataHost="node1" database="testdb03" />
<dataNode name="dn4" dataHost="node1" database="testdb04" />
<dataNode name="dn5" dataHost="node1" database="testdb05" />
<dataNode name="dn6" dataHost="node1" database="testdb06" />
<dataNode name="dn7" dataHost="node1" database="testdb07" />
<dataNode name="dn8" dataHost="node1" database="testdb08" />
<dataNode name="dn9" dataHost="node1" database="testdb09" />
<dataNode name="dn10" dataHost="node1" database="testdb10" />
<dataNode name="dn11" dataHost="node1" database="testdb11" />
<dataNode name="dn12" dataHost="node1" database="testdb12" />
<dataNode name="dn13" dataHost="node2" database="testdb13" />
<dataNode name="dn14" dataHost="node2" database="testdb14" />
<dataNode name="dn15" dataHost="node2" database="testdb15" />
<dataNode name="dn16" dataHost="node2" database="testdb16" />
<dataNode name="dn17" dataHost="node2" database="testdb17" />
<dataNode name="dn18" dataHost="node2" database="testdb18" />
<dataNode name="dn19" dataHost="node2" database="testdb19" />
<dataNode name="dn20" dataHost="node2" database="testdb20" />
<dataNode name="dn21" dataHost="node2" database="testdb21" />
<dataNode name="dn22" dataHost="node2" database="testdb22" />
<dataNode name="dn23" dataHost="node2" database="testdb23" />
<dataNode name="dn24" dataHost="node2" database="testdb24" />
<dataNode name="dn25" dataHost="node3" database="testdb25" />
<dataNode name="dn26" dataHost="node3" database="testdb26" />
<dataNode name="dn27" dataHost="node3" database="testdb27" />
<dataNode name="dn28" dataHost="node3" database="testdb28" />
<dataNode name="dn29" dataHost="node3" database="testdb29" />
<dataNode name="dn30" dataHost="node3" database="testdb30" />
<dataNode name="dn31" dataHost="node3" database="testdb31" />
<dataNode name="dn32" dataHost="node3" database="testdb32" />
<dataNode name="dn33" dataHost="node3" database="testdb33" />
<dataNode name="dn34" dataHost="node3" database="testdb34" />
<dataNode name="dn35" dataHost="node3" database="testdb35" />
<!--<dataNode name="dn4" dataHost="sequoiadb1" database="SAMPLE" />
<dataNode name="jdbc_dn1" dataHost="jdbchost" database="db1" />
<dataNode name="jdbc_dn2" dataHost="jdbchost" database="db2" />
<dataNode name="jdbc_dn3" dataHost="jdbchost" database="db3" /> -->
<dataHost name="node1" maxCon="1000" minCon="10" balance="1"
writeType="0" dbType="mysql" dbDriver="native" switchType="1" slaveThreshold="100">
<heartbeat>select user()</heartbeat>
<!-- can have multi write hosts -->
<writeHost host="192.168.8.31" url="192.168.8.31:3306" user="root" password="mysql"></writeHost>
</dataHost>
<dataHost name="node2" maxCon="1000" minCon="10" balance="1"
writeType="0" dbType="mysql" dbDriver="native" switchType="1" slaveThreshold="100">
<heartbeat>select user()</heartbeat>
<!-- can have multi write hosts -->
<writeHost host="192.168.8.32" url="192.168.8.32:3306" user="root" password="mysql"></writeHost>
</dataHost>
<dataHost name="node3" maxCon="1000" minCon="10" balance="1"
writeType="0" dbType="mysql" dbDriver="native" switchType="1" slaveThreshold="100">
<heartbeat>select user()</heartbeat>
<!-- can have multi write hosts -->
<writeHost host="192.168.8.33" url="192.168.8.33:3306" user="root" password="mysql"></writeHost>
</dataHost>
</mycat:schema>三、配置rule.xml
<mycat:rule xmlns:mycat="http://io.mycat/">
<tableRule name="auto-sharding-long">
<rule>
<columns>id</columns>
<algorithm>autopartition-long-user03</algorithm>
</rule>
</tableRule>
<function name="autopartition-long-user03" class="io.mycat.route.function.AutoPartitionByLong">
<property name="mapFile">autopartition-long-user03.txt</property>
<property name="defaultNode">0</property>
</function>
</mycat:rule>四、配置autopartition-long-user03.txt
1-10=0
11-20=1
21-30=2
31-40=3
41-50=4
51-60=5
61-70=6
71-80=7
81-10000=8五、配置server.xml
<user name="root" defaultAccount="true">
<property name="password">mysql</property>
<property name="schemas">mycatdb</property>
</user>六、启动mycat
/usr/local/mycat/bin/mycat start查看mycat日志
STATUS | wrapper | 2018/11/22 15:27:14 | --> Wrapper Started as Daemon
STATUS | wrapper | 2018/11/22 15:27:14 | Launching a JVM...
INFO | jvm 1 | 2018/11/22 15:27:14 | OpenJDK 64-Bit Server VM warning: ignoring option MaxPermSize=64M; support was removed in 8.0
INFO | jvm 1 | 2018/11/22 15:27:16 | Wrapper (Version 3.2.3) http://wrapper.tanukisoftware.org
INFO | jvm 1 | 2018/11/22 15:27:16 | Copyright 1999-2006 Tanuki Software, Inc. All Rights Reserved.
INFO | jvm 1 | 2018/11/22 15:27:16 |
INFO | jvm 1 | 2018/11/22 15:27:20 | MyCAT Server startup successfully. see logs in logs/mycat.log七、登录MySQL并查看逻辑表
mysql> use mycatdb;
Reading table information for completion of table and column names
You can turn off this feature to get a quicker startup with -A
Database changed
mysql> show tables;
+-------------------+
| Tables in mycatdb |
+-------------------+
| order01 |
| orderdetail01 |
| user01 |
| user02 |
| user03 |
+-------------------+
5 rows in set (0.00 sec)
mysql>
mysql>
mysql> drop table if exists user03;
Query OK, 0 rows affected, 1 warning (0.23 sec)
mysql> create table user03 (
-> id int not null auto_increment,
-> name varchar(64),
-> primary key (id)
-> );
Query OK, 0 rows affected (0.43 sec)八、插入测试数据
共插入50条数据
insert into user03(id,name) values(1,'steven');
insert into user03(id,name) values(2,'steven');
insert into user03(id,name) values(3,'steven');
insert into user03(id,name) values(4,'steven');
insert into user03(id,name) values(5,'steven');
insert into user03(id,name) values(11,'steven');
insert into user03(id,name) values(12,'steven');
insert into user03(id,name) values(13,'steven');
insert into user03(id,name) values(14,'steven');
insert into user03(id,name) values(15,'steven');
insert into user03(id,name) values(21,'steven');
insert into user03(id,name) values(22,'steven');
insert into user03(id,name) values(23,'steven');
insert into user03(id,name) values(24,'steven');
insert into user03(id,name) values(25,'steven');
insert into user03(id,name) values(31,'steven');
insert into user03(id,name) values(32,'steven');
insert into user03(id,name) values(33,'steven');
insert into user03(id,name) values(34,'steven');
insert into user03(id,name) values(35,'steven');
insert into user03(id,name) values(41,'steven');
insert into user03(id,name) values(42,'steven');
insert into user03(id,name) values(43,'steven');
insert into user03(id,name) values(44,'steven');
insert into user03(id,name) values(45,'steven');
insert into user03(id,name) values(51,'steven');
insert into user03(id,name) values(52,'steven');
insert into user03(id,name) values(53,'steven');
insert into user03(id,name) values(54,'steven');
insert into user03(id,name) values(55,'steven');
insert into user03(id,name) values(61,'steven');
insert into user03(id,name) values(62,'steven');
insert into user03(id,name) values(63,'steven');
insert into user03(id,name) values(64,'steven');
insert into user03(id,name) values(65,'steven');
insert into user03(id,name) values(71,'steven');
insert into user03(id,name) values(72,'steven');
insert into user03(id,name) values(73,'steven');
insert into user03(id,name) values(74,'steven');
insert into user03(id,name) values(75,'steven');
insert into user03(id,name) values(81,'steven');
insert into user03(id,name) values(82,'steven');
insert into user03(id,name) values(83,'steven');
insert into user03(id,name) values(84,'steven');
insert into user03(id,name) values(85,'steven');
insert into user03(id,name) values(91,'steven');
insert into user03(id,name) values(92,'steven');
insert into user03(id,name) values(93,'steven');
insert into user03(id,name) values(94,'steven');
insert into user03(id,name) values(95,'steven');九、数据验证
三个node只在testdb01-03,testdb13-15，testdb25-27，所以除了这9个物理库之外，其他库查不到分片。
下面在三个node分别验证出分片信息：
node1
mysql> select count(*) from testdb01.user03;
+----------+
| count(*) |
+----------+
| 5 |
+----------+
1 row in set (0.00 sec)
mysql> select count(*) from testdb02.user03;
+----------+
| count(*) |
+----------+
| 5 |
+----------+
1 row in set (0.00 sec)
mysql> select count(*) from testdb03.user03;
+----------+
| count(*) |
+----------+
| 5 |
+----------+
1 row in set (0.00 sec)node2
mysql> select count(*) from testdb13.user03;
+----------+
| count(*) |
+----------+
| 5 |
+----------+
1 row in set (0.00 sec)
mysql> select count(*) from testdb14.user03;
+----------+
| count(*) |
+----------+
| 5 |
+----------+
1 row in set (0.00 sec)
mysql> select count(*) from testdb15.user03;
+----------+
| count(*) |
+----------+
| 5 |
+----------+
1 row in set (0.00 sec)node3
mysql> select count(*) from testdb25.user03;
+----------+
| count(*) |
+----------+
| 5 |
+----------+
1 row in set (0.00 sec)
mysql> select count(*) from testdb26.user03;
+----------+
| count(*) |
+----------+
| 5 |
+----------+
1 row in set (0.00 sec)
mysql> select count(*) from testdb27.user03;
+----------+
| count(*) |
+----------+
| 10 |
+----------+
1 row in set (0.00 sec)“MyCat怎么分库分表”的内容就介绍到这里了，感谢大家的阅读。如果想了解更多行业相关的知识可以关注亿速云网站，小编将为大家输出更多高质量的实用文章！
