Mycat分片规则是啥样的

Mycat分片规则是怎么样的，针对这个问题，这篇文章详细介绍了相对应的分析和解答，希望可以帮助更多想解决这个问题的小伙伴找到更简单易行的方法。

1.sharding-by-intfile

hash分片

表对应的分片规则

查看rule.xml查看对应的关系

<tableRule name="sharding-by-intfile">

                <rule>

                        <columns>sharding_id</columns> 根据该字段分片

                        <algorithm>hash-int</algorithm>  分片的方法

                </rule>

        </tableRule>

查看rule.xml对应的方法

<function name="hash-int"

                class="io.mycat.route.function.PartitionByFileMap">

                <property name="mapFile">partition-hash-int.txt</property> ---对应的文件

                <property name="defaultNode">1</property>

        </function>

查看文件

[root@localhost conf]# more partition-hash-int.txt

10000=0 ####sharding_id为10000发到1节点

10010=1  ####sharding_id为10010发到2节点

DEFAULT_NODE=1 ###其它插到2节点

实验

mysql> create table employee (id int not null primary key,name varchar(100),sharding_id int not null);

Query OK, 0 rows affected (0.02 sec)

mysql> insert into employee(id,name,sharding_id) values(2,'leader us',10000);

Query OK, 1 row affected (0.01 sec)

mysql> insert into employee(id,name,sharding_id) values(4,'leader us',10000);

Query OK, 1 row affected (0.00 sec)

mysql> insert into employee(id,name,sharding_id) values(3,'leader us',100003);        -----其它插到2节点

mysql> insert into employee(id,name,sharding_id) values(4,'leader us',10010);

Query OK, 1 row affected (0.01 sec)

mysql> insert into employee(id,name,sharding_id) values(5,'leader us',10010);

Query OK, 1 row affected (0.03 sec)

2.auto-sharding-long

范围分片

分片表如下：

<table name="travelrecord" dataNode="dn1,dn2,dn3" rule="auto-sharding-long" />

查看rule.xml对应的关系

<tableRule name="auto-sharding-long">

                <rule>

                        <columns>id</columns>

                        <algorithm>rang-long</algorithm>

                </rule>

        </tableRule>

对应的方法

<function name="rang-long"

                class="io.mycat.route.function.AutoPartitionByLong">

                <property name="mapFile">autopartition-long.txt</property>

        </function>

对应的文件：

# range start-end ,data node index

# K=1000,M=10000.

0-500M=0     #####范围0-500M插到第一个节点

500M-1000M=1    #####范围500m-1000M插到第2个节点

1000M-1500M=2   。。。类推

3.mod-log

取模分片

<table name="tt2" primaryKey="id" autoIncrement="true" dataNode="dn1,dn2,dn3" rule="mod-long" />

 fun:

<function name="mod-long" class="io.mycat.route.function.PartitionByMod">

                <!-- how many data nodes -->

                <property name="count">3</property>

        </function>

<tableRule name="mod-long">

                <rule>

                        <columns>id</columns>

                        <algorithm>mod-long</algorithm>

                </rule>

        </tableRule>

4. sharding-by-month

按月分片

tab:

 <table name="month_tab" primaryKey="id" autoIncrement="true" dataNode="dn1,dn2,dn3" rule="sharding-by-month" />

rule:

<tableRule name="sharding-by-month">

                <rule>

                        <columns>create_time</columns>

                        <algorithm>partbymonth</algorithm>

                </rule>

        </tableRule>

<function name="partbymonth"

                class="io.mycat.route.function.PartitionByMonth">

                <property name="dateFormat">yyyy-MM-dd</property>

                <property name="sBeginDate">2015-01-01</property> ##开始时间

        </function>

测试：

mysql> insert into month_tab(id,name,sharding_id,create_time) values (1,'1',1,'2015-01-01');

Query OK, 1 row affected (0.43 sec)

mysql> insert into month_tab(id,name,sharding_id,create_time) values (2,'2',2,'2015-02-02');

Query OK, 1 row affected (0.01 sec)

mysql> insert into month_tab(id,name,sharding_id,create_time) values (3,'3',3,'2015-03-03');

Query OK, 1 row affected (0.49 sec)

mysql> insert into month_tab(id,name,sharding_id,create_time) values (4,'4',4,'2015-04-04'); ###按月分片，只有三个节点，只能插到1,2,3月份的，4月份就开始报错了

ERROR 1064 (HY000): Can't find a valid data node for specified node index :MONTH_TAB -> CREATE_TIME -> 2015-04-04 -> Index : 3

5 sharding-by-day

按日分片（1.6默认文件都没写，自己配置的）

tab：

<table name="day_tab" primaryKey="ID" dataNode="dn1,dn2,dn3" rule="sharding-by-day"/>

rule：

<tableRule name="sharding-by-day">

                <rule>

                        <columns>create_time</columns>

                        <algorithm>partbyday</algorithm>

                </rule>

        </tableRule>

<function name="partbyday"

                class="io.mycat.route.function.PartitionByDate">

                <property name="dateFormat">yyyy-MM-dd</property>

                <property name="sBeginDate">2015-01-01</property>  ###起始日期

                <property name="sPartionDay">3</property>      ###多少天后开始分片

        </function>

测试：

插了前9天，分到三个分片

mysql> select * from day_tab;

+----+------+-------------+---------------------+

| id | name | sharding_id | create_time    |

+----+------+-------------+---------------------+

| 7 | 1  |     1 | 2015-01-08 00:00:00 |

| 8 | 1  |     1 | 2015-01-09 00:00:00 |

| 13 | 1  |     1 | 2015-01-07 00:00:00 |

| 7 | 1  |     1 | 2015-01-01 00:00:00 |

| 8 | 1  |     1 | 2015-01-02 00:00:00 |

| 9 | 1  |     1 | 2015-01-03 00:00:00 |

| 10 | 1  |     1 | 2015-01-04 00:00:00 |

| 11 | 1  |     1 | 2015-01-05 00:00:00 |

| 12 | 1  |     1 | 2015-01-06 00:00:00 |

+----+------+-------------+---------------------+

9 rows in set (0.01 sec)

mysql> insert into day_tab(id,name,sharding_id,create_time) values (17,'1',1,'2015-01-10'),(18,'1',1,'2015-01-11'); ###插第10天的，开始报错

ERROR 1064 (HY000): Index: 3, Size: 3

关于Mycat分片规则是怎么样的问题的解答就分享到这里了，希望以上内容可以对大家有一定的帮助。

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