分库分表 springboot+dubbo+mybatisPlus+shardingSphere
发布于: 2021 年 05 月 19 日
1、使用的框架有
springboot 2.1.1 + apache dubbo 2.7.2+ mybatisPlus 3.1.0 +shardingSphere 4.1.0
数据库连接池:HikariDataSource
jdbc 驱动:mysql-connector-java-6.0.6.jar
2、分库分表方案:
分库:根据 create_time 字段切换不同的数据源 big-data 或者 big-data-2021
分表:根据 school_id 字段取模,数据保存到 student_analysis_0~5 的表中
建表 SQL 语句:
CREATE TABLE `student_analysis_0` (
`ID` bigint(20) NOT NULL,
`SCHOOL_ID` bigint(20) NOT NULL COMMENT '学校id',
`CREATE_TIME` datetime NOT NULL COMMENT '创建时间',
`UPDATE_TIME` datetime NOT NULL COMMENT '更新时间',
`CREATE_USER_ID` bigint(20) NOT NULL COMMENT '创建用户主键',
`UPDATE_USER_ID` bigint(20) NOT NULL COMMENT '更新用户主键',
`STATUS` int(1) NOT NULL COMMENT '状态 -1:删除,0:停用,1-启用',
PRIMARY KEY (`ID`)
) ;
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3、maven 依赖 pom.xml 文件:
<!-- Dubbo Spring Boot Starter -->
<dependency>
<groupId>${dubbo.groupId}</groupId>
<artifactId>dubbo-spring-boot-starter</artifactId>
</dependency>
<dependency>
<groupId>${dubbo.groupId}</groupId>
<artifactId>dubbo</artifactId>
</dependency>
<dependency>
<groupId>org.apache.zookeeper</groupId>
<artifactId>zookeeper</artifactId>
</dependency>
<dependency>
<groupId>${dubbo.groupId}</groupId>
<artifactId>dubbo-configcenter-zookeeper</artifactId>
<exclusions>
<exclusion>
<artifactId>objenesis</artifactId>
<groupId>org.objenesis</groupId>
</exclusion>
</exclusions>
</dependency>
<dependency>
<groupId>${dubbo.groupId}</groupId>
<artifactId>dubbo-rpc-rest</artifactId>
<exclusions>
<exclusion>
<artifactId>jetty-server</artifactId>
<groupId>org.eclipse.jetty</groupId>
</exclusion>
<exclusion>
<artifactId>jetty-servlet</artifactId>
<groupId>org.eclipse.jetty</groupId>
</exclusion>
</exclusions>
</dependency>
<dependency>
<groupId>org.apache.tomcat.embed</groupId>
<artifactId>tomcat-embed-logging-juli</artifactId>
</dependency>
<dependency>
<groupId>javax.el</groupId>
<artifactId>javax.el-api</artifactId>
<version>3.0.0</version>
</dependency>
<dependency>
<groupId>org.glassfish.web</groupId>
<artifactId>javax.el</artifactId>
<version>2.2.6</version>
<exclusions>
<exclusion>
<artifactId>javax.el-api</artifactId>
<groupId>javax.el</groupId>
</exclusion>
</exclusions>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-log4j2</artifactId>
<version>2.1.4.RELEASE</version>
</dependency>
<!-- MyBatis Plus -->
<dependency>
<groupId>com.baomidou</groupId>
<artifactId>mybatis-plus-boot-starter</artifactId>
<version>3.1.0</version>
</dependency>
<dependency>
<groupId>mysql</groupId>
<artifactId>mysql-connector-java</artifactId>
<version>6.0.6</version>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-test</artifactId>
<version>2.1.5.RELEASE</version>
<scope>test</scope>
</dependency>
<!--sharding jdbc springboot-->
<dependency>
<groupId>org.apache.shardingsphere</groupId>
<artifactId>sharding-jdbc-spring-boot-starter</artifactId>
<version>4.1.0</version>
<!--<version>4.0.0-RC2</version>-->
</dependency>
<dependency>
<groupId>org.apache.shardingsphere</groupId>
<artifactId>sharding-jdbc-spring-namespace</artifactId>
<version>4.1.0</version>
<!--<version>4.0.0-RC2</version>-->
</dependency>
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4、application.yml 配置:
spring:
shardingsphere:
datasource:
# 数据库名称,多个以逗号隔开
names: ds2020,ds2021
ds2020:
type: com.zaxxer.hikari.HikariDataSource
driver-class-name: com.mysql.cj.jdbc.Driver
jdbc-url: jdbc:mysql://${database.mysql.ip}:${database.mysql.port}/big-data?useUnicode=true&zeroDateTimeBehavior=convertToNull&serverTimezone=Asia/Shanghai&useSSL=false&nullNamePatternMatchesAll=true
username: ${database.mysql.username}
password: ${database.mysql.password}
minimum-idle: 1
maximum-pool-size: 5
connection-test-query: SELECT 1
connection-timeout: 6000
ds2021:
type: com.zaxxer.hikari.HikariDataSource
driver-class-name: com.mysql.cj.jdbc.Driver
jdbc-url: jdbc:mysql://${database.mysql.ip}:${database.mysql.port}/big-data-2021?useUnicode=true&zeroDateTimeBehavior=convertToNull&serverTimezone=Asia/Shanghai&useSSL=false&nullNamePatternMatchesAll=true
username: ${database.mysql.username}
password: ${database.mysql.password}
minimum-idle: 1
maximum-pool-size: 5
connection-test-query: SELECT 1
connection-timeout: 6000
sharding:
#默认库
default-data-source-name: ds2020
tables:
student_analysis:
#物理表的结点,下面代表的是ds2020.student_analysis_0..10、ds2021.student_analysis_0..1
actual-data-nodes: ds$->{2020..2021}.student_analysis_$->{0..4}
#分库策略,按照创建时间的年份分库,如果不用分库的,直接注释掉分库相关的代码
database-strategy:
standard:
sharding-column: create_time
precise-algorithm-class-name: com.auge.big.data.sharding.CreateTimeShardingDatabaseAlgorithm
table-strategy:
#分表策略,根据school_id字段的值模10
inline:
sharding-column: school_id
algorithm-expression: student_analysis_$->{school_id % 5}
props:
#是否打印逻辑SQL语句和实际SQL语句,建议调试时打印,在生产环境关闭
sql:
show: true
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5、分库策略自定义算法类
/**
* 分库策略自定义算法。
*/
public class CreateTimeShardingDatabaseAlgorithm implements PreciseShardingAlgorithm<Date> {
/**
* 按创建时间分库
*/
@Override
public String doSharding(Collection<String> collection, PreciseShardingValue<Date> preciseShardingValue) {
Date value = preciseShardingValue.getValue();
SimpleDateFormat sdf = new SimpleDateFormat("yyyy");
String dataSource = "ds" + sdf.format(value);
System.out.println("switch datasource:" + dataSource);
return dataSource;
}
}
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发布于: 2021 年 05 月 19 日阅读数: 20
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