Sharding JDBC分表怎么配置

本篇内容介绍了"Sharding JDBC分表怎么配置"的有关知识，在实际案例的操作过程中，不少人都会遇到这样的困境，接下来就让小编带领大家学习一下如何处理这些情况吧！希望大家仔细阅读，能够学有所成！

分表配置

由于的单库分表，所以只配置一个数据源就可以了

#配置数据源spring.shardingsphere.datasource.names=test0#test0spring.shardingsphere.datasource.test0.type=com.zaxxer.hikari.HikariDataSourcespring.shardingsphere.datasource.test0.driver-class-name=com.mysql.cj.jdbc.Driverspring.shardingsphere.datasource.test0.jdbcUrl=jdbc:mysql://127.0.0.1:3306/test0spring.shardingsphere.datasource.test0.username=devadminspring.shardingsphere.datasource.test0.password=

设置绑定表

# 设置绑定表spring.shardingsphere.sharding.binding-tables[0]=health_record,health_task

设置分表的策略

这里根据 record_id 奇偶来分表的。分为 health_record0,health_record1 和 health_task0,health_task1

# health_recordspring.shardingsphere.sharding.tables.health_record.actual-data-nodes=test0.health_record$->{0..1}spring.shardingsphere.sharding.tables.health_record.table-strategy.inline.algorithm-expression=health_record$->{record_id % 2}spring.shardingsphere.sharding.tables.health_record.table-strategy.inline.sharding-column=record_idspring.shardingsphere.sharding.tables.health_record.key-generator.column=record_idspring.shardingsphere.sharding.tables.health_record.key-generator.type=SNOWFLAKE# health_taskspring.shardingsphere.sharding.tables.health_task.actual-data-nodes=test0.health_task$->{0..1}spring.shardingsphere.sharding.tables.health_task.table-strategy.inline.algorithm-expression=health_task$->{record_id %2}spring.shardingsphere.sharding.tables.health_task.table-strategy.inline.sharding-column=record_idspring.shardingsphere.sharding.tables.health_task.key-generator.column=task_idspring.shardingsphere.sharding.tables.health_task.key-generator.type=SNOWFLAKE

完整配置

server.port=8080#打印sqlspring.shardingsphere.props.sql.show=true#配置数据源spring.shardingsphere.datasource.names=test0#test0spring.shardingsphere.datasource.test0.type=com.zaxxer.hikari.HikariDataSourcespring.shardingsphere.datasource.test0.driver-class-name=com.mysql.cj.jdbc.Driverspring.shardingsphere.datasource.test0.jdbcUrl=jdbc:mysql://127.0.0.1:3306/test0spring.shardingsphere.datasource.test0.username=devadminspring.shardingsphere.datasource.test0.password=# 设置绑定表spring.shardingsphere.sharding.binding-tables[0]=health_record,health_task# health_recordspring.shardingsphere.sharding.tables.health_record.actual-data-nodes=test0.health_record$->{0..1}spring.shardingsphere.sharding.tables.health_record.table-strategy.inline.algorithm-expression=health_record$->{record_id % 2}spring.shardingsphere.sharding.tables.health_record.table-strategy.inline.sharding-column=record_idspring.shardingsphere.sharding.tables.health_record.key-generator.column=record_idspring.shardingsphere.sharding.tables.health_record.key-generator.type=SNOWFLAKE# health_taskspring.shardingsphere.sharding.tables.health_task.actual-data-nodes=test0.health_task$->{0..1}spring.shardingsphere.sharding.tables.health_task.table-strategy.inline.algorithm-expression=health_task$->{record_id %2}spring.shardingsphere.sharding.tables.health_task.table-strategy.inline.sharding-column=record_idspring.shardingsphere.sharding.tables.health_task.key-generator.column=task_idspring.shardingsphere.sharding.tables.health_task.key-generator.type=SNOWFLAKE

数据库如下

health_level 数据如下

user数据如下

health_record0,health_record1

health_record0 中 record_id 都是偶数 ，health_record1 都是奇数

health_task0,health_task1

health_task0 中 record_id 都是偶数 ，health_task1 都是奇数

"Sharding JDBC分表怎么配置"的内容就介绍到这里了，感谢大家的阅读。如果想了解更多行业相关的知识可以关注网站，小编将为大家输出更多高质量的实用文章！