寫在前面
熟悉Mycat的小夥伴都知道,Mycat一個很重要的功能就是路由轉發,那麼,這篇文章就帶著大家一起來看看Mycat是如何進行路由轉發的,好了,不多說了,我們直接進入主題。
環境準備
軟體版本
作業系統:CentOS-6.8
JDK版本:jdk1.8
Mycat版本:Mycat-server-1.6
MySQL:5.7
注意:這裡,我將Mycat和MySQL安裝在同一臺虛擬機器(IP:192.168.209.140 主機名為:binghe140),大家也可以將Mycat和MySQL安裝到不同的主機上,測試效果是一樣的。
建立物理庫
mysql -uroot -proot -h192.168.209.140 -P3306
drop database if exists db1;
create database db1;
drop database if exists db2;
create database db2;
drop database if exists db3;
create database db3;
配置Mycat
schema.xml配置
<?xml version="1.0"?>
<!DOCTYPE mycat:schema SYSTEM "schema.dtd">
<mycat:schema xmlns:mycat="http://org.opencloudb/" >
<schema name="binghe" checkSQLschema="false" sqlMaxLimit="100">
<table name="travelrecord" dataNode="dn1,dn2,dn3" rule="auto-sharding-long"></table>
</schema>
<!-- <dataNode name="dn1$0-743" dataHost="localhost1" database="db$0-743"
/> -->
<dataNode name="dn1" dataHost="localhost1" database="db1" />
<dataNode name="dn2" dataHost="localhost1" database="db2" />
<dataNode name="dn3" dataHost="localhost1" database="db3" />
<!--<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="localhost1" maxCon="1000" minCon="10" balance="0"
writeType="0" dbType="mysql" dbDriver="native" switchType="1" slaveThreshold="100">
<heartbeat>select user()</heartbeat>
<!-- can have multi write hosts -->
<writeHost host="hostM1" url="127.0.0.1:3306" user="root" password="root"></writeHost>
<writeHost host="hostM2" url="127.0.0.1:3306" user="root" password="root"></writeHost>
<!--<writeHost host="hostS1" url="localhost:3316" user="root"-->
<!--password="123456" />-->
<!-- <writeHost host="hostM2" url="localhost:3316" user="root" password="123456"/> -->
</dataHost>
</mycat:schema>
server.xml配置
<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE mycat:server SYSTEM "server.dtd">
<mycat:server xmlns:mycat="http://org.opencloudb/">
<system>
<property name="defaultSqlParser">druidparser</property>
</system>
<user name="binghe">
<property name="password">binghe.123</property>
<property name="schemas">binghe</property>
</user>
<user name="test">
<property name="password">test</property>
<property name="schemas">binghe</property>
<property name="readOnly">true</property>
</user>
</mycat:server>
rule.xml配置
<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE mycat:rule SYSTEM "rule.dtd">
<mycat:rule xmlns:mycat="http://org.opencloudb/">
<tableRule name="rule1">
<rule>
<columns>id</columns>
<algorithm>func1</algorithm>
</rule>
</tableRule>
<tableRule name="rule2">
<rule>
<columns>user_id</columns>
<algorithm>func1</algorithm>
</rule>
</tableRule>
<tableRule name="sharding-by-intfile">
<rule>
<columns>sharding_id</columns>
<algorithm>hash-int</algorithm>
</rule>
</tableRule>
<tableRule name="auto-sharding-long">
<rule>
<columns>id</columns>
<algorithm>rang-long</algorithm>
</rule>
</tableRule>
<tableRule name="mod-long">
<rule>
<columns>id</columns>
<algorithm>mod-long</algorithm>
</rule>
</tableRule>
<tableRule name="sharding-by-murmur">
<rule>
<columns>id</columns>
<algorithm>murmur</algorithm>
</rule>
</tableRule>
<tableRule name="sharding-by-month">
<rule>
<columns>create_date</columns>
<algorithm>partbymonth</algorithm>
</rule>
</tableRule>
<tableRule name="latest-month-calldate">
<rule>
<columns>calldate</columns>
<algorithm>latestMonth</algorithm>
</rule>
</tableRule>
<tableRule name="auto-sharding-rang-mod">
<rule>
<columns>id</columns>
<algorithm>rang-mod</algorithm>
</rule>
</tableRule>
<tableRule name="jch">
<rule>
<columns>id</columns>
<algorithm>jump-consistent-hash</algorithm>
</rule>
</tableRule>
<function name="murmur"
class="org.opencloudb.route.function.PartitionByMurmurHash">
<property name="seed">0</property>
<property name="count">2</property>
<property name="virtualBucketTimes">160</property>
</function>
<function name="hash-int"
class="org.opencloudb.route.function.PartitionByFileMap">
<property name="mapFile">partition-hash-int.txt</property>
</function>
<function name="rang-long"
class="org.opencloudb.route.function.AutoPartitionByLong">
<property name="mapFile">autopartition-long.txt</property>
</function>
<function name="mod-long" class="org.opencloudb.route.function.PartitionByMod">
<!-- how many data nodes -->
<property name="count">3</property>
</function>
<function name="func1" class="org.opencloudb.route.function.PartitionByLong">
<property name="partitionCount">8</property>
<property name="partitionLength">128</property>
</function>
<function name="latestMonth"
class="org.opencloudb.route.function.LatestMonthPartion">
<property name="splitOneDay">24</property>
</function>
<function name="partbymonth"
class="org.opencloudb.route.function.PartitionByMonth">
<property name="dateFormat">yyyy-MM-dd</property>
<property name="sBeginDate">2020-01-01</property>
</function>
<function name="rang-mod" class="org.opencloudb.route.function.PartitionByRangeMod">
<property name="mapFile">partition-range-mod.txt</property>
</function>
<function name="jump-consistent-hash" class="org.opencloudb.route.function.PartitionByJumpConsistentHash">
<property name="totalBuckets">3</property>
</function>
</mycat:rule>
登入Mycat
登入Mycat
命令列輸入以下命令登入Mycat
D:\>mysql -ubinghe -pbinghe.123 -h192.168.209.140 -P8066
Welcome to the MySQL monitor. Commands end with ; or \g.
Your MySQL connection id is 2
Server version: 5.5.8-mycat-1.6.1-RELEASE-20170807215126 MyCat Server (OpenCloundDB)
Copyright (c) 2000, 2016, Oracle and/or its affiliates. All rights reserved.
Oracle is a registered trademark of Oracle Corporation and/or its
affiliates. Other names may be trademarks of their respective
owners.
Type 'help;' or '\h' for help. Type '\c' to clear the current input statement.
mysql>
建立表測試
輸入以下命令檢視建立表的路由
create table travelrecord (id bigint not null primary key,user_id varchar(100),traveldate DATE, fee decimal,days int);
結果如下:
mysql> explain create table travelrecord (id bigint not null primary key,user_id varchar(100),traveldate DATE, fee decimal,days int);
+-----------+-----------------------------------------------------------------------------------------------------------------------+
| DATA_NODE | SQL |
+-----------+-----------------------------------------------------------------------------------------------------------------------+
| dn1 | create table travelrecord (id bigint not null primary key,user_id varchar(100),traveldate DATE, fee decimal,days int) |
| dn2 | create table travelrecord (id bigint not null primary key,user_id varchar(100),traveldate DATE, fee decimal,days int) |
| dn3 | create table travelrecord (id bigint not null primary key,user_id varchar(100),traveldate DATE, fee decimal,days int) |
+-----------+-----------------------------------------------------------------------------------------------------------------------+
3 rows in set (0.00 sec)
mysql>
說明建立表的SQL語句被Mycat路由到dn1,dn2,dn3三個節點上,也就是說在3個節點上都執行了建立表的SQL。
我們輸入建表語句:
mysql> create table travelrecord (id bigint not null primary key,user_id varchar(100),traveldate DATE, fee decimal,days int);
Query OK, 0 rows affected (0.18 sec)
此時,將會在dn1,dn2,dn3三個節點上建立travelrecord表。
錄入資料測試
錄入到dn1節點
我們在命令列輸入如下SQL語句
explain insert into travelrecord (id,user_id,traveldate,fee,days) values(100001,'binghe','2020-11-10',510.5,3);
結果如下:
mysql> explain insert into travelrecord (id,user_id,traveldate,fee,days) values(100001,'binghe','2020-11-10',510.5,3);
+-----------+-------------------------------------------------------------------------------------------------------------+
| DATA_NODE | SQL |
+-----------+-------------------------------------------------------------------------------------------------------------+
| dn1 | insert into travelrecord (id,user_id,traveldate,fee,days) values(100001,'binghe','2020-11-10',510.5,3) |
+-----------+-------------------------------------------------------------------------------------------------------------+
1 row in set (0.00 sec)
說明Mycat將SQL路由到了dn1節點。
我們執行插入語句:
mysql> insert into travelrecord (id,user_id,traveldate,fee,days) values(100001,'binghe','2020-11-10',510.5,3);
Query OK, 1 row affected, 1 warning (0.01 sec)
mysql>
錄入到dn2節點
我們在命令列輸入如下語句:
explain insert into travelrecord (id,user_id,traveldate,fee,days) values(8000004,'binghe','2020-11-10',510.5,3);
結果如下:
mysql> explain insert into travelrecord (id,user_id,traveldate,fee,days) values(8000004,'binghe','2020-11-10',510.5,3);
+-----------+--------------------------------------------------------------------------------------------------------------+
| DATA_NODE | SQL |
+-----------+--------------------------------------------------------------------------------------------------------------+
| dn2 | insert into travelrecord (id,user_id,traveldate,fee,days) values(8000004,'binghe','2020-11-10',510.5,3) |
+-----------+--------------------------------------------------------------------------------------------------------------+
1 row in set (0.00 sec)
說明Mycat將SQL路由到了dn2節點,我們執行插入語句:
mysql> insert into travelrecord (id,user_id,traveldate,fee,days) values(8000004,'binghe','2020-11-10',510.5,3);
Query OK, 1 row affected, 1 warning (0.06 sec)
路由到dn3節點
我們在命令列輸入如下語句
explain insert into travelrecord (id,user_id,traveldate,fee,days) values(10000004,'binghe','2020-11-10',510.5,3);
結果為:
mysql> explain insert into travelrecord (id,user_id,traveldate,fee,days) values(10000004,'binghe','2020-11-10',510.5,3);
+-----------+---------------------------------------------------------------------------------------------------------------+
| DATA_NODE | SQL |
+-----------+---------------------------------------------------------------------------------------------------------------+
| dn3 | insert into travelrecord (id,user_id,traveldate,fee,days) values(10000004,'binghe','2020-11-10',510.5,3) |
+-----------+---------------------------------------------------------------------------------------------------------------+
1 row in set (0.00 sec)
說明Mycat將SQL路由到了dn3節點,我們同樣執行插入語句的操作
mysql> insert into travelrecord (id,user_id,traveldate,fee,days) values(10000004,'binghe','2020-11-10',510.5,3);
Query OK, 1 row affected, 1 warning (0.01 sec)
查詢測試
查詢所有資料
在命令列執行如下語句:
explain select * from travelrecord;
結果為:
mysql> explain select * from travelrecord;
+-----------+--------------------------------------+
| DATA_NODE | SQL |
+-----------+--------------------------------------+
| dn1 | SELECT * FROM travelrecord LIMIT 100 |
| dn2 | SELECT * FROM travelrecord LIMIT 100 |
| dn3 | SELECT * FROM travelrecord LIMIT 100 |
+-----------+--------------------------------------+
3 rows in set (0.01 sec)
說明查詢所有的資料,Mycat是將SQL語句路由到了所有的資料分片,即dn1,dn2,dn3節點上。
根據id查詢指定資料
我們分別在命令列中執行如下SQL:
explain select * from travelrecord where id = 1000004;
explain select * from travelrecord where id = 8000004;
explain select * from travelrecord where id = 10000004;
得到的結果依次如下:
mysql> explain select * from travelrecord where id = 1000004;
+-----------+---------------------------------------------------------+
| DATA_NODE | SQL |
+-----------+---------------------------------------------------------+
| dn1 | SELECT * FROM travelrecord WHERE id = 1000004 LIMIT 100 |
+-----------+---------------------------------------------------------+
1 row in set (0.06 sec)
mysql> explain select * from travelrecord where id = 8000004;
+-----------+---------------------------------------------------------+
| DATA_NODE | SQL |
+-----------+---------------------------------------------------------+
| dn2 | SELECT * FROM travelrecord WHERE id = 8000004 LIMIT 100 |
+-----------+---------------------------------------------------------+
1 row in set (0.00 sec)
mysql> explain select * from travelrecord where id = 10000004;
+-----------+----------------------------------------------------------+
| DATA_NODE | SQL |
+-----------+----------------------------------------------------------+
| dn3 | SELECT * FROM travelrecord WHERE id = 10000004 LIMIT 100 |
+-----------+----------------------------------------------------------+
1 row in set (0.00 sec)
說明:按照分片欄位查詢,Mycat只會將SQL路由到指定的資料分片。
刪表測試
在命令列輸入如下SQL:
explain drop table travelrecord;
結果如下
mysql> explain drop table travelrecord;
+-----------+-------------------------+
| DATA_NODE | SQL |
+-----------+-------------------------+
| dn1 | drop table travelrecord |
| dn2 | drop table travelrecord |
| dn3 | drop table travelrecord |
+-----------+-------------------------+
3 rows in set (0.00 sec)
有結果可知,刪表操作和建立表操作一樣,Mycat在本例項中都會將SQL路由到所有的資料分片。
注意:本文的Mycat路由結果針對本文的配置例項,其他配置下,Mycat的路由結果可能會有不同。
好了,我們今天就到這兒吧,我是冰河,我們下期見~~
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