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目录1.Sharding-Jdbc介绍2.Sharding-Jdbc引入使用3.配置广播表4.配置绑定表5.读写分离配置1. Sharding-Jdbc介绍 https://shar
https://shardingsphere.apache.org/
sharding-jdbc提供了4种配置
与MyCat的区别
名词解释
# 0.首先在两个mysql上创建两个数据：shard_order
# 1.分表给两个库创建两个表order_info_1,order_info_2
CREATE TABLE `order_info_1` (
`id` int(11) NOT NULL,
`order_amount` decimal(10,2) DEFAULT NULL,
`order_status` int(255) DEFAULT NULL,
`user_id` int(11) DEFAULT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
CREATE TABLE `order_info_2` (
`id` int(11) NOT NULL,
`order_amount` decimal(10,2) DEFAULT NULL,
`order_status` int(255) DEFAULT NULL,
`user_id` int(11) DEFAULT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
# 2.切分规则，按照id的奇偶数切分到两个数据库，在自己的数据库按照user_id进行表切分代码导入POM依赖
<dependency>
<groupId>org.apache.shardingsphere</groupId>
<artifactId>sharding-jdbc-spring-boot-starter</artifactId>
<version>4.0.0-RC2</version>
</dependency>配置properties
# 给两个数据源命名
spring.shardingsphere.datasource.names=ds0,ds1
# 数据源链接ds0要和命名一致
spring.shardingsphere.datasource.ds0.type=com.zaxxer.hikari.HikariDataSource
spring.shardingsphere.datasource.ds0.driver-class-name=com.mysql.jdbc.Driver
spring.shardingsphere.datasource.ds0.jdbcUrl=jdbc:mysql://39.103.163.215:3306/shard_order
spring.shardingsphere.datasource.ds0.username=gavin
spring.shardingsphere.datasource.ds0.passWord=123456
# 数据源链接ds1要和命名一致
spring.shardingsphere.datasource.ds1.type=com.zaxxer.hikari.HikariDataSource
spring.shardingsphere.datasource.ds1.driver-class-name=com.mysql.jdbc.Driver
spring.shardingsphere.datasource.ds1.jdbcUrl=jdbc:mysql://39.101.221.95:3306/shard_order
spring.shardingsphere.datasource.ds1.username=gavin
spring.shardingsphere.datasource.ds1.password=123456
# 具体的分片规则,基于数据节点
spring.shardingsphere.sharding.tables.order_info.actual-data-nodes=ds$->{0..1}.order_info_$->{1..2}
# 分库的规则
spring.shardingsphere.sharding.tables.order_info.database-strategy.inline.sharding-column=id
spring.shardingsphere.sharding.tables.order_info.database-strategy.inline.alGorithm-expression=ds$->{id % 2}
# 分表的规则
spring.shardingsphere.sharding.tables.order_info.table-strategy.inline.sharding-column=user_id
spring.shardingsphere.sharding.tables.order_info.table-strategy.inline.algorithm-expression=order_info_$->{user_id % 2 + 1}//测试代码
@SpringBootTest
class ShardingjdbcProjectApplicationTests {
@Autowired
JdbcTemplate jdbcTemplate;
@Test
void insertTest(){
String sql = "insert into order_info(id,order_amount,order_status,user_id) values(3,213.88,1,2)";
int i = jdbcTemplate.update(sql);
System.out.println("影响行数:"+i);
}
}作业：自己练习一下sharding-jdbc的分库分表
先在两个库上创建广播表province_info
CREATE TABLE `province_info` (
`id` int(11) NOT NULL,
`name` varchar(255) DEFAULT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;在properties里增加配置
spring.shardingsphere.sharding.broadcast-tables=province_info测试插入和查询的代码
@Test
void insertBroadcast(){
String sql = "insert into province_info(id,name) values(1,'beijing')";
int i = jdbcTemplate.update(sql);
System.out.println("******* 影响的结果："+i);
}
@Test
void selectBroadcast(){
String sql = "select * from province_info";
List<Map<String,Object>> result = jdbcTemplate.queryForList(sql);
for (Map<String,Object> val: result) {
System.out.println("=========== "+val.get("id")+" ----- "+val.get("name"));
}
}首先按照order_info的建表顺序创建order_item分别在两个库上建立order_item_1,order_item_2
@Test
void insertBroadcast(){
String sql = "insert into province_info(id,name) values(1,'beijing')";
int i = jdbcTemplate.update(sql);
System.out.println("******* 影响的结果："+i);
}
@Test
void selectBroadcast(){
String sql = "select * from province_info";
List<Map<String,Object>> result = jdbcTemplate.queryForList(sql);
for (Map<String,Object> val: result) {
System.out.println("=========== "+val.get("id")+" ----- "+val.get("name"));
}
}
配置绑定表，将两个表的分表逻辑和order_info保持一致
# 给两个数据源命名
spring.shardingsphere.datasource.names=ds0,ds1
# 数据源链接ds0要和命名一致
spring.shardingsphere.datasource.ds0.type=com.zaxxer.hikari.HikariDataSource
spring.shardingsphere.datasource.ds0.driver-class-name=com.mysql.jdbc.Driver
spring.shardingsphere.datasource.ds0.jdbcUrl=jdbc:mysql://39.103.163.215:3306/shard_order
spring.shardingsphere.datasource.ds0.username=gavin
spring.shardingsphere.datasource.ds0.password=123456
# 数据源链接ds1要和命名一致
spring.shardingsphere.datasource.ds1.type=com.zaxxer.hikari.HikariDataSource
spring.shardingsphere.datasource.ds1.driver-class-name=com.mysql.jdbc.Driver
spring.shardingsphere.datasource.ds1.jdbcUrl=jdbc:mysql://39.101.221.95:3306/shard_order
spring.shardingsphere.datasource.ds1.username=gavin
spring.shardingsphere.datasource.ds1.password=123456
# 具体的分片规则,基于数据节点
spring.shardingsphere.sharding.tables.order_info.actual-data-nodes=ds$->{0..1}.order_info_$->{1..2}
# 分库的规则
spring.shardingsphere.sharding.tables.order_info.database-strategy.inline.sharding-column=id
spring.shardingsphere.sharding.tables.order_info.database-strategy.inline.algorithm-expression=ds$->{id % 2}
# 分表的规则
spring.shardingsphere.sharding.tables.order_info.table-strategy.inline.sharding-column=user_id
spring.shardingsphere.sharding.tables.order_info.table-strategy.inline.algorithm-expression=order_info_$->{user_id % 2 + 1}
# 具体的分片规则,基于数据节点
spring.shardingsphere.sharding.tables.order_item.actual-data-nodes=ds$->{0..1}.order_item_$->{1..2}
# 分库的规则
spring.shardingsphere.sharding.tables.order_item.database-strategy.inline.sharding-column=order_id
spring.shardingsphere.sharding.tables.order_item.database-strategy.inline.algorithm-expression=ds$->{order_id % 2}
# 分表的规则
spring.shardingsphere.sharding.tables.order_item.table-strategy.inline.sharding-column=user_id
spring.shardingsphere.sharding.tables.order_item.table-strategy.inline.algorithm-expression=order_item_$->{user_id % 2 + 1}
# 绑定表关系
spring.shardingsphere.sharding.binding-tables=order_info,order_item
# 广播表
spring.shardingsphere.sharding.broadcast-tables=province_info首先配置properties的数据源，如果有主机配置就必须要有从机配置
# 指定主从的配置节点
spring.shardingsphere.datasource.names=master0,master0slave0,master1,master1slave0
# master0数据源链接配置
spring.shardingsphere.datasource.master0.type=com.zaxxer.hikari.HikariDataSource
spring.shardingsphere.datasource.master0.driver-class-name=com.mysql.jdbc.Driver
spring.shardingsphere.datasource.master0.jdbcUrl=jdbc:mysql://39.103.163.215:3306/shard_order
spring.shardingsphere.datasource.master0.username=gavin
spring.shardingsphere.datasource.master0.password=123456
# master0slave0数据源链接配置
spring.shardingsphere.datasource.master0slave0.type=com.zaxxer.hikari.HikariDataSource
spring.shardingsphere.datasource.master0slave0.driver-class-name=com.mysql.jdbc.Driver
spring.shardingsphere.datasource.master0slave0.jdbcUrl=jdbc:mysql://39.99.212.46:3306/shard_order
spring.shardingsphere.datasource.master0slave0.username=gavin
spring.shardingsphere.datasource.master0slave0.password=123456
# master1数据源链接配置
spring.shardingsphere.datasource.master1.type=com.zaxxer.hikari.HikariDataSource
spring.shardingsphere.datasource.master1.driver-class-name=com.mysql.jdbc.Driver
spring.shardingsphere.datasource.master1.jdbcUrl=jdbc:mysql://39.101.221.95:3306/shard_order
spring.shardingsphere.datasource.master1.username=gavin
spring.shardingsphere.datasource.master1.password=123456
# master1slave0数据源链接配置
spring.shardingsphere.datasource.master1slave0.type=com.zaxxer.hikari.HikariDataSource
spring.shardingsphere.datasource.master1slave0.driver-class-name=com.mysql.jdbc.Driver
spring.shardingsphere.datasource.master1slave0.jdbcUrl=jdbc:mysql://localhost:3306/shard_order
spring.shardingsphere.datasource.master1slave0.username=root
spring.shardingsphere.datasource.master1slave0.password=gavin
# 具体的分片规则,基于数据节点
spring.shardingsphere.sharding.tables.order_info.actual-data-nodes=ds$->{0..1}.order_info_$->{1..2}
# 分库的规则
spring.shardingsphere.sharding.tables.order_info.database-strategy.inline.sharding-column=id
spring.shardingsphere.sharding.tables.order_info.database-strategy.inline.algorithm-expression=ds$->{id % 2}
# 分表的规则
spring.shardingsphere.sharding.tables.order_info.table-strategy.inline.sharding-column=user_id
spring.shardingsphere.sharding.tables.order_info.table-strategy.inline.algorithm-expression=order_info_$->{user_id % 2 + 1}
# 具体的分片规则,基于数据节点
spring.shardingsphere.sharding.tables.order_item.actual-data-nodes=ds$->{0..1}.order_item_$->{1..2}
# 分库的规则
spring.shardingsphere.sharding.tables.order_item.database-strategy.inline.sharding-column=order_id
spring.shardingsphere.sharding.tables.order_item.database-strategy.inline.algorithm-expression=ds$->{order_id % 2}
# 分表的规则
spring.shardingsphere.sharding.tables.order_item.table-strategy.inline.sharding-column=user_id
spring.shardingsphere.sharding.tables.order_item.table-strategy.inline.algorithm-expression=order_item_$->{user_id % 2 + 1}
# 绑定表关系
spring.shardingsphere.sharding.binding-tables=order_info,order_item
# 广播表
spring.shardingsphere.sharding.broadcast-tables=province_info
# 读写分离主从关系绑定
spring.shardingsphere.sharding.master-slave-rules.ds0.master-data-source-name=master0
spring.shardingsphere.sharding.master-slave-rules.ds0.slave-data-source-names=master0slave0
spring.shardingsphere.sharding.master-slave-rules.ds0.load-balance-algorithm-type=round_robin
spring.shardingsphere.sharding.master-slave-rules.ds1.master-data-source-name=master1
spring.shardingsphere.sharding.master-slave-rules.ds1.slave-data-source-names=master1slave0
spring.shardingsphere.sharding.master-slave-rules.ds1.load-balance-algorithm-type=random到此这篇关于Sharding-Jdbc进行分库分表的文章就介绍到这了,更多相关Sharding-Jdbc分库分表内容请搜索编程网以前的文章或继续浏览下面的相关文章希望大家以后多多支持编程网！
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本文标题: 利用Sharding-Jdbc进行分库分表的操作代码
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