sharding-sphere 3.1.0 的简单使用

最开始倒腾sharding-sphere的时候,在网上找了半天,下了源码看了半天(想用@Configuration 注解的方式,而不是去写配置文件,我觉得配置文件太多了,弄的晃眼),也没有弄明白个所以然。

后面直接在官网找到了比较齐全的答案,我最开始还以为必须要配置配置文件啥的,其实完全不需要。

这个是官网地址:https://shardingsphere.apache.org/document/current/cn/manual/sharding-jdbc/configuration/config-java/

下面这个是我们系统的一些配置:由于我们系统小,所以只用到了分表,没有用到分库和分片和主从,但是配置这些也很容易。

import java.sql.SQLException;
import java.util.HashMap;
import java.util.Map;
import java.util.Properties;
import java.util.concurrent.ConcurrentHashMap;

import javax.sql.DataSource;

import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.context.annotation.Primary;

import com.oftoo.datasource.config.DynamicDataSource;
import com.oftoo.datasource.database.IPKeyGenerator;
import com.oftoo.datasource.database.TimeShardingTableAlgorithm;

import io.shardingsphere.api.config.rule.ShardingRuleConfiguration;
import io.shardingsphere.api.config.rule.TableRuleConfiguration;
import io.shardingsphere.api.config.strategy.StandardShardingStrategyConfiguration;
import io.shardingsphere.shardingjdbc.api.ShardingDataSourceFactory;

@Configuration
public class DataSourceConfig {

    @Autowired
    DynamicDataSource datasource;

    @Bean(name = "shardingDataSource")
    @Primary
    DataSource getShardingDataSource() throws SQLException {
        ShardingRuleConfiguration shardingRuleConfig = new ShardingRuleConfiguration();
        shardingRuleConfig.getTableRuleConfigs().add(getTestTableRuleConfiguration()); // 如果有多个表,可以用逗号“,”分隔 ,比如user_info,
        //shardingRuleConfig.getTableRuleConfigs().add(getTerminalRecordTableRuleConfiguration());
        shardingRuleConfig.getBindingTableGroups().add("tb_user,t_terminal_record");
        // 设置分片策略,自定义算法来实现分片规则 //shardingRuleConfig.setDefaultDatabaseShardingStrategyConfig(new
        // StandardShardingStrategyConfiguration("user_id", new DemoDatabaseShardingAlgorithm()));
        shardingRuleConfig.setDefaultTableShardingStrategyConfig(//
                new StandardShardingStrategyConfiguration("user_id", new TimeShardingTableAlgorithm()));

        return ShardingDataSourceFactory.createDataSource(createDataSourceMap(), shardingRuleConfig, //
                new ConcurrentHashMap(), new Properties());
    }

    /**
     * 配置表规则
     * 
     * @return
     */
    TableRuleConfiguration getTestTableRuleConfiguration() {
        TableRuleConfiguration test = new TableRuleConfiguration(); // 配置表名
        test.setLogicTable("tb_user"); // 配置真实的数据节点,即数据库中真实存在的节点,由数据源名 + 表名组成
        test.setActualDataNodes("ds_0.tb_user_${0..1}");// user_${0..1}分库,user_info_${0..1}分表
        // 主键生成列,默认的主键生成算法是snowflake
        test.setKeyGeneratorColumnName("user_id");
        IPKeyGenerator.initWorkerId();
        return test;
    }

    /**
     * 创建数据源
     * 
     * @return
     */
    private Map createDataSourceMap() {
        Map result = new HashMap<>();
        result.put("ds_0", datasource);
        return result;
    }


}

maven:

        
            io.shardingsphere
            sharding-jdbc-core
            3.1.0
        

TimeShardingTableAlgorithm这个类我复制的另外一个人写的,

ParaseShardingKeyTool.getYearAndMonth(shardingValue.getValue())这个只是获取到了日期如:201808(这个就是表名)
import java.util.Collection;

import com.oftoo.common.utils.ParaseShardingKeyTool;

import io.shardingsphere.api.algorithm.sharding.PreciseShardingValue;
import io.shardingsphere.api.algorithm.sharding.standard.PreciseShardingAlgorithm;

public class TimeShardingTableAlgorithm implements PreciseShardingAlgorithm {
    @Override
    public String doSharding(Collection availableTargetNames, PreciseShardingValue shardingValue) {
        StringBuffer tableName = new StringBuffer();
        tableName.append(shardingValue.getLogicTableName()).append("_").append(ParaseShardingKeyTool.getYearAndMonth(shardingValue.getValue()));

        return tableName.toString();
    }
}

这个是我数据库的表名,里面的字段很简单,就一个user_id 和name,我们这边用的是spring +mybatis 。

 

转载于:https://www.cnblogs.com/wucaifang/p/11394446.html

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