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`)
) ;复制代码
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>复制代码
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复制代码
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; }}复制代码
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发布于: 2021 年 05 月 19 日阅读数: 20
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