利用Sharding-Jdbc進行分庫分表的操作代碼
1. Sharding-Jdbc介紹
https://shardingsphere.apache.org/
- sharding-jdbc是一個分布式的關(guān)系型數(shù)據(jù)庫中間件
- 客戶端代理模式,不需要搭建服務(wù)器,只需要后端數(shù)據(jù)庫即可,有個IDE就行了
- 定位于輕量級的Java框架,以jar的方式提供服務(wù)
- 可以理解為增強版的jdbc驅(qū)動
- 完全兼容主流的ORM框架

sharding-jdbc提供了4種配置
- Java API
- yaml
- properties
- spring命名空間
與MyCat的區(qū)別
- MyCat是服務(wù)端的代理,Sharding-Jdbc是客戶端代理
- 實際開發(fā)中如果企業(yè)有DBA建議使用MyCat,都是開發(fā)人員建議使用sharding-jdbc
- MyCat不支持在一個庫內(nèi)進行水平分表,而sharding-jdbc支持在同一個數(shù)據(jù)庫中進行水平分表
名詞解釋
- 邏輯表:物流的合并表
- 真實表:存放數(shù)據(jù)的地方
- 數(shù)據(jù)節(jié)點:存儲數(shù)據(jù)的MySQL節(jié)點
- 綁定表:相當于MyCat中的子表
- 廣播表:相當于MyCat中的全局表
2. Sharding-Jdbc引入使用
# 0.首先在兩個MySQL上創(chuàng)建兩個數(shù)據(jù):shard_order # 1.分表給兩個庫創(chuàng)建兩個表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.切分規(guī)則,按照id的奇偶數(shù)切分到兩個數(shù)據(jù)庫,在自己的數(shù)據(jù)庫按照user_id進行表切分
代碼導(dǎo)入POM依賴
<dependency>
<groupId>org.apache.shardingsphere</groupId>
<artifactId>sharding-jdbc-spring-boot-starter</artifactId>
<version>4.0.0-RC2</version>
</dependency>配置properties
# 給兩個數(shù)據(jù)源命名
spring.shardingsphere.datasource.names=ds0,ds1
# 數(shù)據(jù)源鏈接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
# 數(shù)據(jù)源鏈接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
# 具體的分片規(guī)則,基于數(shù)據(jù)節(jié)點
spring.shardingsphere.sharding.tables.order_info.actual-data-nodes=ds$->{0..1}.order_info_$->{1..2}
# 分庫的規(guī)則
spring.shardingsphere.sharding.tables.order_info.database-strategy.inline.sharding-column=id
spring.shardingsphere.sharding.tables.order_info.database-strategy.inline.algorithm-expression=ds$->{id % 2}
# 分表的規(guī)則
spring.shardingsphere.sharding.tables.order_info.table-strategy.inline.sharding-column=user_id
spring.shardingsphere.sharding.tables.order_info.table-strategy.inline.algorithm-expression=order_info_$->{user_id % 2 + 1}//測試代碼
@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("影響行數(shù):"+i);
}
}作業(yè):自己練習一下sharding-jdbc的分庫分表
3. 配置廣播表
先在兩個庫上創(chuàng)建廣播表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
測試插入和查詢的代碼
@Test
void insertBroadcast(){
String sql = "insert into province_info(id,name) values(1,'beijing')";
int i = jdbcTemplate.update(sql);
System.out.println("******* 影響的結(jié)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"));
}
}4. 配置綁定表
首先按照order_info的建表順序創(chuàng)建order_item分別在兩個庫上建立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("******* 影響的結(jié)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"));
}
}
?配置綁定表,將兩個表的分表邏輯和order_info保持一致
# 給兩個數(shù)據(jù)源命名
spring.shardingsphere.datasource.names=ds0,ds1
# 數(shù)據(jù)源鏈接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
# 數(shù)據(jù)源鏈接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
# 具體的分片規(guī)則,基于數(shù)據(jù)節(jié)點
spring.shardingsphere.sharding.tables.order_info.actual-data-nodes=ds$->{0..1}.order_info_$->{1..2}
# 分庫的規(guī)則
spring.shardingsphere.sharding.tables.order_info.database-strategy.inline.sharding-column=id
spring.shardingsphere.sharding.tables.order_info.database-strategy.inline.algorithm-expression=ds$->{id % 2}
# 分表的規(guī)則
spring.shardingsphere.sharding.tables.order_info.table-strategy.inline.sharding-column=user_id
spring.shardingsphere.sharding.tables.order_info.table-strategy.inline.algorithm-expression=order_info_$->{user_id % 2 + 1}
# 具體的分片規(guī)則,基于數(shù)據(jù)節(jié)點
spring.shardingsphere.sharding.tables.order_item.actual-data-nodes=ds$->{0..1}.order_item_$->{1..2}
# 分庫的規(guī)則
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$->{order_id % 2}
# 分表的規(guī)則
spring.shardingsphere.sharding.tables.order_item.table-strategy.inline.sharding-column=user_id
spring.shardingsphere.sharding.tables.order_item.table-strategy.inline.algorithm-expression=order_item_$->{user_id % 2 + 1}
# 綁定表關(guān)系
spring.shardingsphere.sharding.binding-tables=order_info,order_item
# 廣播表
spring.shardingsphere.sharding.broadcast-tables=province_info5. 讀寫分離配置
首先配置properties的數(shù)據(jù)源,如果有主機配置就必須要有從機配置
# 指定主從的配置節(jié)點
spring.shardingsphere.datasource.names=master0,master0slave0,master1,master1slave0
# master0數(shù)據(jù)源鏈接配置
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數(shù)據(jù)源鏈接配置
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數(shù)據(jù)源鏈接配置
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數(shù)據(jù)源鏈接配置
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
# 具體的分片規(guī)則,基于數(shù)據(jù)節(jié)點
spring.shardingsphere.sharding.tables.order_info.actual-data-nodes=ds$->{0..1}.order_info_$->{1..2}
# 分庫的規(guī)則
spring.shardingsphere.sharding.tables.order_info.database-strategy.inline.sharding-column=id
spring.shardingsphere.sharding.tables.order_info.database-strategy.inline.algorithm-expression=ds$->{id % 2}
# 分表的規(guī)則
spring.shardingsphere.sharding.tables.order_info.table-strategy.inline.sharding-column=user_id
spring.shardingsphere.sharding.tables.order_info.table-strategy.inline.algorithm-expression=order_info_$->{user_id % 2 + 1}
# 具體的分片規(guī)則,基于數(shù)據(jù)節(jié)點
spring.shardingsphere.sharding.tables.order_item.actual-data-nodes=ds$->{0..1}.order_item_$->{1..2}
# 分庫的規(guī)則
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$->{order_id % 2}
# 分表的規(guī)則
spring.shardingsphere.sharding.tables.order_item.table-strategy.inline.sharding-column=user_id
spring.shardingsphere.sharding.tables.order_item.table-strategy.inline.algorithm-expression=order_item_$->{user_id % 2 + 1}
# 綁定表關(guān)系
spring.shardingsphere.sharding.binding-tables=order_info,order_item
# 廣播表
spring.shardingsphere.sharding.broadcast-tables=province_info
# 讀寫分離主從關(guān)系綁定
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到此這篇關(guān)于Sharding-Jdbc進行分庫分表的文章就介紹到這了,更多相關(guān)Sharding-Jdbc分庫分表內(nèi)容請搜索腳本之家以前的文章或繼續(xù)瀏覽下面的相關(guān)文章希望大家以后多多支持腳本之家!
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- SpringBoot 2.0 整合sharding-jdbc中間件實現(xiàn)數(shù)據(jù)分庫分表
- SpringBoot集成Sharding-JDBC實現(xiàn)分庫分表方式
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- sharding-jdbc5.0.0實現(xiàn)分表實踐
- Java使用Sharding-JDBC分庫分表進行操作
- 使用sharding-jdbc實現(xiàn)水平分庫+水平分表的示例代碼
- Sharding-Jdbc 自定義復(fù)合分片的實現(xiàn)(分庫分表)
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