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是一個分佈式的關系型數據庫中間件
- 客戶端代理模式,不需要搭建服務器,隻需要後端數據庫即可,有個IDE就行瞭
- 定位於輕量級的Java框架,以jar的方式提供服務
- 可以理解為增強版的jdbc驅動
- 完全兼容主流的ORM框架
sharding-jdbc提供瞭4種配置
- Java API
- yaml
- properties
- spring命名空間
與MyCat的區別
- MyCat是服務端的代理,Sharding-Jdbc是客戶端代理
- 實際開發中如果企業有DBA建議使用MyCat,都是開發人員建議使用sharding-jdbc
- MyCat不支持在一個庫內進行水平分表,而sharding-jdbc支持在同一個數據庫中進行水平分表
名詞解釋
- 邏輯表:物流的合並表
- 真實表:存放數據的地方
- 數據節點:存儲數據的MySQL節點
- 綁定表:相當於MyCat中的子表
- 廣播表:相當於MyCat中的全局表
2. Sharding-Jdbc引入使用
# 0.首先在兩個MySQL上創建兩個數據:shard_order # 1.分表給兩個庫創建兩個表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.切分規則,按照id的奇偶數切分到兩個數據庫,在自己的數據庫按照user_id進行表切分
代碼導入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
# 給兩個數據源命名 spring.shardingsphere.datasource.names=ds0,ds1 # 數據源鏈接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 # 數據源鏈接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 # 具體的分片規則,基於數據節點 spring.shardingsphere.sharding.tables.order_info.actual-data-nodes=ds$->{0..1}.order_info_$->{1..2} # 分庫的規則 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:"+i); } }
作業: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裡增加配置
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
# 給兩個數據源命名 spring.shardingsphere.datasource.names=ds0,ds1 # 數據源鏈接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 # 數據源鏈接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 # 具體的分片規則,基於數據節點 spring.shardingsphere.sharding.tables.order_info.actual-data-nodes=ds$->{0..1}.order_info_$->{1..2} # 分庫的規則 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} # 具體的分片規則,基於數據節點 spring.shardingsphere.sharding.tables.order_item.actual-data-nodes=ds$->{0..1}.order_item_$->{1..2} # 分庫的規則 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} # 綁定表關系 spring.shardingsphere.sharding.binding-tables=order_info,order_item # 廣播表 spring.shardingsphere.sharding.broadcast-tables=province_info
5. 讀寫分離配置
首先配置properties的數據源,如果有主機配置就必須要有從機配置
# 指定主從的配置節點 spring.shardingsphere.datasource.names=master0,master0slave0,master1,master1slave0 # master0數據源鏈接配置 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數據源鏈接配置 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數據源鏈接配置 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數據源鏈接配置 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 # 具體的分片規則,基於數據節點 spring.shardingsphere.sharding.tables.order_info.actual-data-nodes=ds$->{0..1}.order_info_$->{1..2} # 分庫的規則 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} # 具體的分片規則,基於數據節點 spring.shardingsphere.sharding.tables.order_item.actual-data-nodes=ds$->{0..1}.order_item_$->{1..2} # 分庫的規則 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
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