SpringBoot整合ShardingSphere-JDBC 5.3.2 实现读写分离、分库分表。

@Configuration
public class ShardingSphereConfig {
 
    @Bean
    public DataSource dataSource() {
        // 配置真实数据源
        Map<String, DataSource> dataSourceMap = new HashMap<>();
        // 配置主数据源
        dataSourceMap.put("ds0", ...);
        // 配置从数据源
        dataSourceMap.put("ds1", ...);
 
        // 配置读写分离规则
        Map<String, Collection<String>> dataNodeMap = new HashMap<>();
        dataNodeMap.put("ds0", Collections.singleton("ds0"));
        dataNodeMap.put("ds1", Collections.singleton("ds1"));
 
        // 配置读写分离规则
        ReadwriteSplittingRuleConfiguration readwriteSplittingRuleConfig = new ReadwriteSplittingRuleConfiguration(
                "ds0,ds1", "ds0");
 
        // 配置分片规则
        ShardingSphereRuleConfiguration ruleConfig = new ShardingSphereRuleConfiguration();
        ruleConfig.getReadwriteSplitting().put("readwrite_ds", readwriteSplittingRuleConfig);
 
        // 配置props，包括数据源和分片规则
        Properties props = new Properties();
        props.put("sql.show", "true");
 
        // 创建ShardingSphereDataSource
        return ShardingSphereDataSourceFactory.createDataSource(dataSourceMap, Collections.singleton(ruleConfig), props);
    }
}

这个配置类展示了如何在Spring Boot应用中配置ShardingSphere-JDBC来实现读写分离和分库分表。代码中使用了ShardingSphereDataSourceFactory来创建一个DataSource，它会根据配置自动处理数据的分片和读写分离。在实际应用中，需要替换...处的数据源配置为真实的数据源实现。