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;
create database testdb04;
create database testdb05;
create database testdb06;
create database testdb07;
create database testdb08;
create database testdb09;
create database testdb10;
create database testdb11;
create database testdb12;
node2
create database testdb13;
create database testdb14;
create database testdb15;
create database testdb16;
create database testdb17;
create database testdb18;
create database testdb19;
create database testdb20;
create database testdb21;
create database testdb22;
create database testdb23;
create database testdb24;
node3
create database testdb25;
create database testdb26;
create database testdb27;
create database testdb28;
create database testdb29;
create database testdb30;
create database testdb31;
create database testdb32;
create database testdb33;
create database testdb34;
create database testdb35;
create database testdb36;
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="user05" dataNode="dn$1-36" rule="sharding-by-date-adddate"></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="dn36" dataHost="node3" database="testdb36" />
<!--<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="sharding-by-date-adddate">
<rule>
<columns>adddate</columns>
<algorithm>sharding-by-date</algorithm>
</rule>
</tableRule>
<function name="sharding-by-date" class="io.mycat.route.function.PartitionByDate">
<property name="dateFormat">yyyy-MM-dd</property> <!-- 日期格式-->
<property name="sBeginDate">2010-01-01</property> <!-- 开始日期-->
<property name="sEndDate">2020-12-31</property> <!-- 结束日期-->
<property name="sPartionDay">120</property> <!-- 每分片天数-->
</function>
四、启动mycat
/usr/local/mycat/bin/mycat start
查看mycat日志
STATUS | wrapper | 2018/11/22 19:03:02 | --> Wrapper Started as Daemon
STATUS | wrapper | 2018/11/22 19:03:02 | Launching a JVM...
INFO | jvm 1 | 2018/11/22 19:03:02 | OpenJDK 64-Bit Server VM warning: ignoring option MaxPermSize=64M; support was removed in 8.0
INFO | jvm 1 | 2018/11/22 19:03:04 | Wrapper (Version 3.2.3) http://wrapper.tanukisoftware.org
INFO | jvm 1 | 2018/11/22 19:03:04 | Copyright 1999-2006 Tanuki Software, Inc. All Rights Reserved.
INFO | jvm 1 | 2018/11/22 19:03:04 |
INFO | jvm 1 | 2018/11/22 19:03:08 | MyCAT Server startup successfully. see logs in logs/mycat.log
五、登录MySQL查看逻辑表
mysql -uroot -pmysql -P8066 -h292.168.8.30
mysql> show databases;
+----------+
| DATABASE |
+----------+
| mycatdb |
+----------+
1 row in set (0.02 sec)
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 |
+-------------------+
| user04 |
| user05 |
+-------------------+
2 rows in set (0.00 sec)
mysql> drop table if exists user05;
Query OK, 0 rows affected, 1 warning (0.57 sec)
mysql> create table user05(
-> id int not null auto_increment,
-> name varchar(64),
-> adddate datetime,
-> primary key(id)
-> );
Query OK, 0 rows affected (1.56 sec)
六、插入测试数据
插入10条记录
insert into user05(id,name,adddate) values(1,'steven','2011-05-09 12:32:12');
insert into user05(id,name,adddate) values(2,'steven','2012-05-09 12:32:12');
insert into user05(id,name,adddate) values(3,'steven','2013-05-09 12:32:12');
insert into user05(id,name,adddate) values(4,'steven','2014-05-09 12:32:12');
insert into user05(id,name,adddate) values(5,'steven','2015-05-09 12:32:12');
insert into user05(id,name,adddate) values(6,'steven','2016-05-09 12:32:12');
insert into user05(id,name,adddate) values(7,'steven','2017-05-09 12:32:12');
insert into user05(id,name,adddate) values(8,'steven','2018-05-09 12:32:12');
insert into user05(id,name,adddate) values(9,'steven','2019-05-09 12:32:12');
insert into user05(id,name,adddate) values(10,'steven','2020-05-09 12:32:12');
七、验证数据
node1
mysql> select * from testdb01.user05;
Empty set (0.00 sec)
mysql> select * from testdb02.user05;
Empty set (0.00 sec)
mysql> select * from testdb04.user05;
Empty set (0.00 sec)
mysql> select * from testdb05.user05;
+----+--------+---------------------+
| id | name | adddate |
+----+--------+---------------------+
| 1 | steven | 2011-05-09 12:32:12 |
+----+--------+---------------------+
1 row in set (0.00 sec)
mysql> select * from testdb06.user05;
Empty set (0.01 sec)
mysql> select * from testdb01.user05;
Empty set (0.00 sec)
mysql> select * from testdb02.user05;
Empty set (0.00 sec)
mysql> select * from testdb03.user05;
Empty set (0.00 sec)
mysql> select * from testdb04.user05;
Empty set (0.00 sec)
mysql> select * from testdb05.user05;
+----+--------+---------------------+
| id | name | adddate |
+----+--------+---------------------+
| 1 | steven | 2011-05-09 12:32:12 |
+----+--------+---------------------+
1 row in set (0.00 sec)
mysql> select * from testdb06.user05;
Empty set (0.01 sec)
mysql> select * from testdb07.user05;
Empty set (0.00 sec)
mysql> select * from testdb08.user05;
+----+--------+---------------------+
| id | name | adddate |
+----+--------+---------------------+
| 2 | steven | 2012-05-09 12:32:12 |
+----+--------+---------------------+
1 row in set (0.00 sec)
mysql> select * from testdb09.user05;
Empty set (0.01 sec)
mysql> select * from testdb10.user05;
Empty set (0.00 sec)
mysql> select * from testdb11.user05;
+----+--------+---------------------+
| id | name | adddate |
+----+--------+---------------------+
| 3 | steven | 2013-05-09 12:32:12 |
+----+--------+---------------------+
1 row in set (0.00 sec)
mysql> select * from testdb12.user05;
Empty set (0.00 sec)
node2
mysql> select * from testdb13.user05;
Empty set (0.00 sec)
mysql> select * from testdb14.user05;
+----+--------+---------------------+
| id | name | adddate |
+----+--------+---------------------+
| 4 | steven | 2014-05-09 12:32:12 |
+----+--------+---------------------+
1 row in set (0.00 sec)
mysql> select * from testdb15.user05;
Empty set (0.00 sec)
mysql> select * from testdb16.user05;
Empty set (0.00 sec)
mysql> select * from testdb17.user05;
+----+--------+---------------------+
| id | name | adddate |
+----+--------+---------------------+
| 5 | steven | 2015-05-09 12:32:12 |
+----+--------+---------------------+
1 row in set (0.00 sec)
mysql> select * from testdb18.user05;
Empty set (0.00 sec)
mysql> select * from testdb19.user05;
Empty set (0.00 sec)
mysql> select * from testdb20.user05;
+----+--------+---------------------+
| id | name | adddate |
+----+--------+---------------------+
| 6 | steven | 2016-05-09 12:32:12 |
+----+--------+---------------------+
1 row in set (0.00 sec)
mysql> select * from testdb21.user05;
Empty set (0.00 sec)
mysql> select * from testdb22.user05;
Empty set (0.00 sec)
mysql> select * from testdb23.user05;
+----+--------+---------------------+
| id | name | adddate |
+----+--------+---------------------+
| 7 | steven | 2017-05-09 12:32:12 |
+----+--------+---------------------+
1 row in set (0.01 sec)
mysql> select * from testdb24.user05;
Empty set (0.00 sec)
node3
mysql> select * from testdb25.user05;
Empty set (0.00 sec)
mysql> select * from testdb26.user05;
+----+--------+---------------------+
| id | name | adddate |
+----+--------+---------------------+
| 8 | steven | 2018-05-09 12:32:12 |
+----+--------+---------------------+
1 row in set (0.00 sec)
mysql> select * from testdb27.user05;
Empty set (0.00 sec)
mysql> select * from testdb28.user05;
Empty set (0.00 sec)
mysql> select * from testdb29.user05;
+----+--------+---------------------+
| id | name | adddate |
+----+--------+---------------------+
| 9 | steven | 2019-05-09 12:32:12 |
+----+--------+---------------------+
1 row in set (0.00 sec)
mysql> select * from testdb30.user05;
Empty set (0.00 sec)
mysql> select * from testdb31.user05;
Empty set (0.01 sec)
mysql> select * from testdb32.user05;
+----+--------+---------------------+
| id | name | adddate |
+----+--------+---------------------+
| 10 | steven | 2020-05-09 12:32:12 |
+----+--------+---------------------+
1 row in set (0.00 sec)
mysql> select * from testdb33.user05;
Empty set (0.01 sec)
mysql> select * from testdb34.user05;
Empty set (0.00 sec)
mysql> select * from testdb35.user05;
Empty set (0.00 sec)
mysql> select * from testdb36.user05;
Empty set (0.01 sec)
可以看到10条测试数据按照120天一个分片，按顺序分布在各个数据库中，验证完毕。
遇到的问题：
第一次配置时候，在rule.xml中配置的90天一个分片，于是报错：
Caused by: io.mycat.config.util.ConfigException: Illegal table conf : table [ USER05 ] rule function [ sharding-by-date ] partition size : 45 > table datanode size : 36, please make sure table datanode size = function partition size
排查发现：从2011-01-01到2020-12-31大约4015天，4015/90=44.61111111111111个分片，超出了预设的36个库。
调整以后：4015/120=33.45833333333333个分片，在36个库范围之内。
