SpringBoot使用Sharding-JDBC实现数据分片和读写分离的方法

时间:2022-04-15 01:06:12

一、Sharding-JDBC简介

Sharding-JDBC是Sharding-Sphere的一个产品,它有三个产品,分别是Sharding-JDBC、Sharding-Proxy和Sharding-Sidecar,这三个产品提供了标准化的数据分片读写分离、柔性事务和数据治理功能。我们这里用的是Sharding-JDBC,所以想了解后面两个产品的话可以去它们官网查看。

Sharding-JDBC为轻量级Java框架,使用客户端直连数据库,以jar包形式提供服务,无需额外部署和依赖,可理解为增强版的JDBC驱动,兼容性特别强。适用的ORM框架有JPA, Hibernate, Mybatis, Spring JDBC Template或直接使用JDBC;第三方的数据库连接池有DBCP, C3P0, BoneCP, Druid等;支持的数据库有MySQL,Oracle,SQLServer和PostgreSQL;多样化的配置文件Java,yaml,Spring Boot ,Spring命名空间。其实这里说的都是废话,大家可以不看,下面我们动手开始正式配置。

 

二、具体的实现方式

1、maven引用

我这里用的配置方式是Spring命名空间配置,所以只需要引用sharding-jdbc-spring-namespace就可以了,还有要注意的是我用的不是当当网的sharding,注意groupId是io.shardingsphere。如果用的是其它配置方式可以去http://maven.aliyun.com/nexus/#nexus-search;quick~io.shardingsphere网站查找相应maven引用

<dependency>
  <groupId>io.shardingsphere</groupId>
  <artifactId>sharding-jdbc-spring-namespace</artifactId>
  <version>3.0.0.M1</version>
</dependency>

2、数据库准备

我这里用的是mysql数据库,根据我们项目的具体需求,我准备了三个主库和对应的从库。模拟的主库名有master,暂时没有做对应从库,所以对应的从库还是指向master;第二个主库有master_1,对应的从库有master_1_slaver_1,master_1_slave_2;第三个主库有master_2,对应的从库有master_2_slave_1,master_2_slave_2。
数据库中的表也做了分表,下面是对应的mysql截图。

SpringBoot使用Sharding-JDBC实现数据分片和读写分离的方法

这第一幅图上的主从库都应该在不同的服务器上的,但这里只是为了模拟所以就建在了本地服务器上了。我们读写分离中的写操作只会发生在主库上,从库会自动同步主库上的数据并为读提供数据。数据库的主从复制在上篇博文中做了详细的介绍,大家可以去看看http://www.zzvips.com/article/208668.html

SpringBoot使用Sharding-JDBC实现数据分片和读写分离的方法

这幅图作为我们本来的主库,下面做的分库和分表都是基于这个库中的订单表分的。所以分库中的表只有订单表和订单明细表。

SpringBoot使用Sharding-JDBC实现数据分片和读写分离的方法

第三幅图截的是第二个主库,里面对订单和订单明细表做了分表操作,具体的分片策略和分片算法下面再做介绍。第三个主表和第二个主表是一样的,所有的从表都和对应的主表是一致的。

3、Spring配置

数据库信息配置文件db.properties配置可以配置两份,分为开发版和测试版,如下:

# master
Master.url=jdbc:mysql://localhost:3306/master?useUnicode=true&characterEncoding=utf8&autoReconnect=true&rewriteBatchedStatements=true
Master.username=root
Master.password=123456
Slave.url=jdbc:mysql://localhost:3306/master?useUnicode=true&characterEncoding=utf8&autoReconnect=true&rewriteBatchedStatements=true
Slave.username=root
Slave.password=123456

# maste_1
Master_1.url=jdbc:mysql://localhost:3306/master_1?useUnicode=true&characterEncoding=utf8&autoReconnect=true&rewriteBatchedStatements=true
Master_1.username=root
Master_1.password=123456
Master_1_Slave_1.url=jdbc:mysql://localhost:3306/master_1_slave_1?useUnicode=true&characterEncoding=utf8&autoReconnect=true&rewriteBatchedStatements=true
Master_1_Slave_1.username=root
Master_1_Slave_1.password=123456
Master_1_Slave_2.url=jdbc:mysql://localhost:3306/master_1_slave_2?useUnicode=true&characterEncoding=utf8&autoReconnect=true&rewriteBatchedStatements=true
Master_1_Slave_2.username=root
Master_1_Slave_2.password=123456

# master_2
Master_2.url=jdbc:mysql://localhost:3306/master_2?useUnicode=true&characterEncoding=utf8&autoReconnect=true&rewriteBatchedStatements=true
Master_2.username=root
Master_2.password=123456
Master_2_Slave_1.url=jdbc:mysql://localhost:3306/master_2_slave_1?useUnicode=true&characterEncoding=utf8&autoReconnect=true&rewriteBatchedStatements=true
Master_2_Slave_1.username=root
Master_2_Slave_1.password=123456
Master_2_Slave_2.url=jdbc:mysql://localhost:3306/master_2_slave_2?useUnicode=true&characterEncoding=utf8&autoReconnect=true&rewriteBatchedStatements=true
Master_2_Slave_2.username=root
Master_2_Slave_2.password=123456

Spring对应的配置:
Spring-Sphere官网中的demo里用的都是行表达式的分片策略,但是行表达式的策略不利于数据库和表的横向扩展,所以我这里用的是标准分片策略,精准分片算法和范围分片算法。因为我们项目中暂时用的分片键都是user_id单一键,所以说不存在复合分片策略,也用不到Hint分片策略,行表达式分片策略和不分片策略。

<?xml version="1.0" encoding="UTF-8"?>
<beans xmlns="http://www.springframework.org/schema/beans"
     xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
     xmlns:context="http://www.springframework.org/schema/context"
     xmlns:tx="http://www.springframework.org/schema/tx"
     xmlns:sharding="http://shardingsphere.io/schema/shardingsphere/sharding"
     xmlns:master-slave="http://shardingsphere.io/schema/shardingsphere/masterslave"
     xsi:schemaLocation="http://www.springframework.org/schema/beans 
                      http://www.springframework.org/schema/beans/spring-beans.xsd 
                      http://www.springframework.org/schema/context 
                      http://www.springframework.org/schema/context/spring-context.xsd
                      http://www.springframework.org/schema/tx 
                      http://www.springframework.org/schema/tx/spring-tx.xsd
                      http://shardingsphere.io/schema/shardingsphere/sharding 
                      http://shardingsphere.io/schema/shardingsphere/sharding/sharding.xsd 
                      http://shardingsphere.io/schema/shardingsphere/masterslave  
                      http://shardingsphere.io/schema/shardingsphere/masterslave/master-slave.xsd">
                      
  <context:component-scan base-package="com.jihao" />
  
  <!-- db.properties数据库信息配置 -->
  <bean id="property" class="org.springframework.beans.factory.config.PropertyPlaceholderConfigurer">
	    <property name="location" value="classpath:property/db_dev.properties" />
	</bean>
	<!-- 主库 -->
  <bean id="master" class="org.apache.commons.dbcp.BasicDataSource" destroy-method="close">
      <property name="driverClassName" value="com.mysql.jdbc.Driver"/>
      <property name="url" value="${Master.url}"/>
      <property name="username" value="${Master.username}"/>
      <property name="password" value="${Master.password}"/>
  </bean>
	<!-- 主库的从库 -->
  <bean id="slave" class="org.apache.commons.dbcp.BasicDataSource" destroy-method="close">
      <property name="driverClassName" value="com.mysql.jdbc.Driver"/>
      <property name="url" value="${Slave.url}"/>
      <property name="username" value="${Slave.username}"/>
      <property name="password" value="${Slave.password}"/>
  </bean>
  <!-- 主库的分库1 -->
  <bean id="master_1" class="org.apache.commons.dbcp.BasicDataSource" destroy-method="close">
      <property name="driverClassName" value="com.mysql.jdbc.Driver"/>
      <property name="url" value="${Master_1.url}"/>
      <property name="username" value="${Master_1.username}"/>
      <property name="password" value="${Master_1.password}"/>
  </bean>
  
  <!-- 分库1的从库1 -->
  <bean id="master_1_slave_1" class="org.apache.commons.dbcp.BasicDataSource" destroy-method="close">
      <property name="driverClassName" value="com.mysql.jdbc.Driver"/>
      <property name="url" value="${Master_1_Slave_1.url}"/>
      <property name="username" value="${Master_1_Slave_1.username}"/>
      <property name="password" value="${Master_1_Slave_1.password}"/>
  </bean>
  
  <!-- 分库1的从库2 -->
  <bean id="master_1_slave_2" class="org.apache.commons.dbcp.BasicDataSource" destroy-method="close">
      <property name="driverClassName" value="com.mysql.jdbc.Driver"/>
      <property name="url" value="${Master_1_Slave_2.url}"/>
      <property name="username" value="${Master_1_Slave_2.username}"/>
      <property name="password" value="${Master_1_Slave_2.password}"/>
  </bean>

  <!-- 主库的分库2 -->
  <bean id="master_2" class="org.apache.commons.dbcp.BasicDataSource" destroy-method="close">
      <property name="driverClassName" value="com.mysql.jdbc.Driver"/>
      <property name="url" value="${Master_2.url}"/>
      <property name="username" value="${Master_2.username}"/>
      <property name="password" value="${Master_2.password}"/>
  </bean>

  <!-- 分库2的从库1 -->
  <bean id="master_2_slave_1" class="org.apache.commons.dbcp.BasicDataSource" destroy-method="close">
      <property name="driverClassName" value="com.mysql.jdbc.Driver"/>
      <property name="url" value="${Master_2_Slave_1.url}"/>
      <property name="username" value="${Master_2_Slave_1.username}"/>
      <property name="password" value="${Master_2_Slave_1.password}"/>
  </bean>

  <!-- 分库2的从库2 -->
  <bean id="master_2_slave_2" class="org.apache.commons.dbcp.BasicDataSource" destroy-method="close">
      <property name="driverClassName" value="com.mysql.jdbc.Driver"/>
      <property name="url" value="${Master_2_Slave_2.url}"/>
      <property name="username" value="${Master_2_Slave_2.username}"/>
      <property name="password" value="${Master_2_Slave_2.password}"/>
  </bean>

	<!-- 主从关系配置 -->
  <bean id="randomStrategy" class="io.shardingsphere.core.api.algorithm.masterslave.RandomMasterSlaveLoadBalanceAlgorithm" />
  <master-slave:data-source id="ms_master" master-data-source-name="master" slave-data-source-names="slave" strategy-ref="randomStrategy" />
  <master-slave:data-source id="ms_master_1" master-data-source-name="master_1" slave-data-source-names="master_1_slave_1, master_1_slave_2" strategy-ref="randomStrategy" />
  <master-slave:data-source id="ms_master_2" master-data-source-name="master_2" slave-data-source-names="master_2_slave_1, master_2_slave_2" strategy-ref="randomStrategy" />
  
  <!-- 分库策略  精确分片算法 -->
  <bean id="preciseDatabaseStrategy" class="com.jihao.algorithm.PreciseModuleDatabaseShardingAlgorithm" />
  <!-- 分库策略  范围分片算法 -->
  <bean id="rangeDatabaseStrategy" class="com.jihao.algorithm.RangeModuleDatabaseShardingAlgorithm" />
  <!-- 分表策略  精确分片算法 -->
  <bean id="preciseTableStrategy" class="com.jihao.algorithm.PreciseModuleTableShardingAlgorithm" />
  <!-- 分表策略  范围分片算法-->
  <bean id="rangeTableStrategy" class="com.jihao.algorithm.RangeModuleTableShardingAlgorithm" />
  <sharding:standard-strategy id="databaseStrategy" sharding-column="user_id" precise-algorithm-ref="preciseDatabaseStrategy" range-algorithm-ref="rangeDatabaseStrategy" />
  <!-- 分表策略 -->
  <sharding:standard-strategy id="tableStrategy" sharding-column="user_id" precise-algorithm-ref="preciseTableStrategy" range-algorithm-ref="rangeTableStrategy" />
  
  <!-- 行表达式算法 -->
  <!-- <sharding:inline-strategy id="databaseStrategy" sharding-column="user_id" algorithm-expression="demo_ds_ms_$->{user_id % 2}" />
  <sharding:inline-strategy id="orderTableStrategy" sharding-column="order_id" algorithm-expression="t_order_$->{order_id % 2}" />
  <sharding:inline-strategy id="orderItemTableStrategy" sharding-column="order_item_id" algorithm-expression="t_order_item_$->{order_item_id % 2}" /> -->
  
  <sharding:data-source id="shardingDataSource">
      <sharding:sharding-rule data-source-names="ms_master,ms_master_1,ms_master_2">
          <sharding:table-rules>
              <sharding:table-rule logic-table="t_order" actual-data-nodes="ms_master_$->{1..2}.t_order_$->{1..3}" database-strategy-ref="databaseStrategy" table-strategy-ref="tableStrategy" generate-key-column-name="order_id"/>
              <sharding:table-rule logic-table="t_order_item" actual-data-nodes="ms_master_$->{1..2}.t_order_item_$->{1..3}" database-strategy-ref="databaseStrategy" table-strategy-ref="tableStrategy" generate-key-column-name="order_item_id"/>
          </sharding:table-rules>
      </sharding:sharding-rule>
  </sharding:data-source>
  
  <bean id="transactionManager" class="org.springframework.jdbc.datasource.DataSourceTransactionManager">
      <property name="dataSource" ref="shardingDataSource" />
  </bean>
  <tx:annotation-driven />
  
  <bean id="sqlSessionFactory" class="org.mybatis.spring.SqlSessionFactoryBean">
	    <!-- 用于在控制台打印sql(不需要的可以注释掉这一行) -->
  	<property name="configLocation" value="classpath:log/mybatis-config.xml"></property>
      <property name="dataSource" ref="shardingDataSource"/>
      <property name="mapperLocations" value="classpath*:com/jihao/mapper/*.xml"/>
  </bean>
  
  <bean class="org.mybatis.spring.mapper.MapperScannerConfigurer">
      <property name="basePackage" value="com.jihao"/>
      <property name="sqlSessionFactoryBeanName" value="sqlSessionFactory"/>
  </bean>
</beans>

4、精准分片算法和范围分片算法的Java代码

标准分片策略,精准分片算法

package com.jihao.algorithm;

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

import java.util.Collection;

import com.alibaba.fastjson.JSON;

/**
* 自定义标准分片策略,使用精确分片算法(=与IN)
* @author JiHao
*
*/
public class PreciseModuleDatabaseShardingAlgorithm implements PreciseShardingAlgorithm<Long>{

	@Override
	public String doSharding(Collection<String> availableTargetNames,
			PreciseShardingValue<Long> preciseShardingValue) {
		System.out.println("collection:" + JSON.toJSONString(availableTargetNames) + ",preciseShardingValue:" + JSON.toJSONString(preciseShardingValue));
      for (String name : availableTargetNames) {
      	// =与IN中分片键对应的值
      	String value = String.valueOf(preciseShardingValue.getValue());
      	// 分库的后缀
      	int i = 1;
      	// 求分库后缀名的递归算法
          if (name.endsWith("_" + countDatabaseNum(Long.parseLong(value), i))) {
              return name;
          }
      }
      throw new UnsupportedOperationException();
	}

	/**
	 * 计算该量级的数据在哪个数据库
	 * @return
	 */
	private String countDatabaseNum(long columnValue, int i){
		// ShardingSphereConstants每个库中定义的数据量
		long left = ShardingSphereConstants.databaseAmount * (i-1);
		long right = ShardingSphereConstants.databaseAmount * i;
		if(left < columnValue && columnValue <= right){
			return String.valueOf(i);
		}else{
			i++;
			return countDatabaseNum(columnValue, i);
		}
	}

}

标准分片策略,范围分片算法

package com.jihao.algorithm;

import io.shardingsphere.core.api.algorithm.sharding.RangeShardingValue;
import io.shardingsphere.core.api.algorithm.sharding.standard.RangeShardingAlgorithm;

import java.util.ArrayList;
import java.util.Collection;
import java.util.List;

import com.alibaba.fastjson.JSON;
import com.google.common.collect.Range;

/**
* 自定义标准分库策略,使用范围分片算法(BETWEEN AND)
* @author JiHao
*
*/
public class RangeModuleDatabaseShardingAlgorithm implements RangeShardingAlgorithm<Long>{

	@Override
	public Collection<String> doSharding(
			Collection<String> availableTargetNames,
			RangeShardingValue<Long> rangeShardingValue) {
		System.out.println("Range collection:" + JSON.toJSONString(availableTargetNames) + ",rangeShardingValue:" + JSON.toJSONString(rangeShardingValue));
      Collection<String> collect = new ArrayList<>();
      Range<Long> valueRange = rangeShardingValue.getValueRange();
      // BETWEEN AND中分片键对应的最小值
      long lowerEndpoint = Long.parseLong(String.valueOf(valueRange.lowerEndpoint()));
      // BETWEEN AND中分片键对应的最大值
      long upperEndpoint = Long.parseLong(String.valueOf(valueRange.upperEndpoint()));
      // 分表的后缀
      int i = 1;
      List<Integer> arrs = new ArrayList<Integer>();
      // 求分表后缀名的递归算法
      List<Integer> list = countDatabaseNum(i, lowerEndpoint, upperEndpoint, arrs);
      for (Integer integer : list) {
			for (String each : availableTargetNames) {
				if (each.endsWith("_" + integer)) {
                collect.add(each);
				}
			}
		}
      return collect;
	}
	
	/**
	 * 计算该量级的数据在哪个表
	 * @param columnValue
	 * @param i
	 * @param lowerEndpoint 最小区间
	 * @param upperEndpoint 最大区间
	 * @return
	 */
	private List<Integer> countDatabaseNum(int i, long lowerEndpoint, long upperEndpoint, List<Integer> arrs){
		long left = ShardingSphereConstants.databaseAmount * (i-1);
		long right = ShardingSphereConstants.databaseAmount * i;
		// 区间最大值小于分库最大值
		if(left < upperEndpoint && upperEndpoint <= right){
			arrs.add(i);
			return arrs;
		}else{
			if(left < lowerEndpoint && lowerEndpoint <= right){
				arrs.add(i);
			}
			i++;
			return countDatabaseNum(i, lowerEndpoint, upperEndpoint, arrs);
		}
	}
}

分库的策略用的和分库的代码是一样的,不同之处就是分库用的是databaseAmount,分表用的是tableAmount。下面的ShardingSphereConstants的代码。

package com.jihao.algorithm;

/**
* ShardingSphere中用到的常量
* @author JiHao
*
*/
public class ShardingSphereConstants {
	
	/**
	 * 订单、优惠券相关的表,按用户数量分库,64w用户数据为一个库
	 * (0,64w]
	 */
	public static int databaseAmount = 640000;
	
	/**
	 * 一个订单表里存10000的用户订单
	 * (0,1w]
	 */
	public static int tableAmount = 10000;
	
}

到这里所有的配置基本上都已经完成了,下面的测试。

5、测试

下面是测试的mybatis的测试文件,都是最基础的就不讲解了。

<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN" "http://mybatis.org/dtd/mybatis-3-mapper.dtd">
<mapper namespace="com.jihao.dao.TestShardingMapper">

	<resultMap id="BaseResultMap" type="com.jihao.entity.Order">
	    <id column="order_id" jdbcType="INTEGER" property="orderId" />
	    <result column="user_id" jdbcType="INTEGER" property="userId" />
	    <result column="status" jdbcType="INTEGER" property="status" />
	</resultMap>

	<insert id="insert" parameterType="com.jihao.entity.Order" useGeneratedKeys="true" keyProperty="orderId">
  	INSERT INTO t_order (
  		user_id, status
 		)
  	VALUES (
  		#{userId,jdbcType=INTEGER}, 
  		#{status,jdbcType=VARCHAR}
 		)
	</insert>

	<insert id="insertItem" useGeneratedKeys="true" keyProperty="orderItemId">
      INSERT INTO t_order_item (
        order_id, user_id
      )
      VALUES (
      	#{orderId,jdbcType=INTEGER},
      	#{userId,jdbcType=INTEGER}
      )
  </insert>
  
  <select id="searchOrder" resultMap="BaseResultMap">
  	SELECT * from t_order
  </select>
  
  <select id="queryWithEqual" resultMap="BaseResultMap">
  	SELECT * FROM t_order WHERE user_id=51
  </select>
  
  <select id="queryWithIn" resultMap="BaseResultMap">
  	SELECT * FROM t_order WHERE user_id IN (50, 51)
  </select>
  
  <select id="queryWithBetween" resultMap="BaseResultMap">
  	SELECT * FROM t_order WHERE user_id between 10000 and 30000
  </select>
  
  <select id="queryUser" resultType="Map">
  	SELECT * FROM t_user
  </select>
  
</mapper>

下面对应的mapper的Java代码

package com.jihao.dao;

import java.util.List;
import java.util.Map;

import org.apache.ibatis.annotations.Mapper;

import com.jihao.entity.Order;
import com.jihao.entity.OrderItem;

@Mapper
public interface TestShardingMapper {
	
  int insert(Order record);
  
  int insertItem(OrderItem record);
  
  List<Order> searchOrder();
  
  List<Order> queryWithEqual();
  
  List<Order> queryWithIn();
  
  List<Order> queryWithBetween();
  
  List<Map<String, Object>> queryUser();
  
}

下面是对应的订单entity代码

package com.jihao.entity;


/**
* 订单
* @author JiHao
*/
public class Order {
	
  private Long orderId;

  private Integer userId;
  
  private String status;

	public Long getOrderId() {
		return orderId;
	}

	public void setOrderId(Long orderId) {
		this.orderId = orderId;
	}

	public Integer getUserId() {
		return userId;
	}

	public void setUserId(Integer userId) {
		this.userId = userId;
	}

	public String getStatus() {
		return status;
	}

	public void setStatus(String status) {
		this.status = status;
	}
  
}

下面是对应的订单明细entity代码

package com.jihao.entity;


/**
* 测试分片
* @author JiHao
*/
public class OrderItem {
	
	private Long orderItemId;
	
  private Long orderId;

  private Integer userId;
  

	public Long getOrderId() {
		return orderId;
	}

	public void setOrderId(Long orderId) {
		this.orderId = orderId;
	}

	public Integer getUserId() {
		return userId;
	}

	public void setUserId(Integer userId) {
		this.userId = userId;
	}

	public Long getOrderItemId() {
		return orderItemId;
	}

	public void setOrderItemId(Long orderItemId) {
		this.orderItemId = orderItemId;
	}
}

下面是测试的controller,并没有写Junit测试。

package com.jihao.controller.test;


import java.util.List;
import java.util.Map;

import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Controller;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.ResponseBody;

import com.jihao.dao.TestShardingMapper;
import com.jihao.entity.Order;
import com.jihao.entity.OrderItem;
import com.jihao.result.Result;
import com.jihao.result.ResultUtil;

/**
* 测试分片
* @author JiHao
*
*/
@Controller
@RequestMapping(value = "test")
public class TestShardingController {

	@Autowired
  private TestShardingMapper testShardingMapper;

  /**
   * 测试添加
   * @return
   */
  @ResponseBody
  @GetMapping(value = "/testAdd")
  public String testAdd(){
  	for (int i = 0; i < 10; i++) {
          Order order = new Order();
//            order.setUserId(50);
//            order.setUserId(51);
//            order.setUserId(10001);
          order.setUserId(20001);
          order.setStatus("INSERT_TEST");
          int count = testShardingMapper.insert(order);
          System.out.println(count);
          long orderId = order.getOrderId();
          System.out.println(order.getOrderId());
          OrderItem item = new OrderItem();
          item.setOrderId(orderId);
//            order.setUserId(50);
//            order.setUserId(51);
//            order.setUserId(10001);
          order.setUserId(20001);
          testShardingMapper.insertItem(item);
      }
      return "success";
  }
  
  /**
   * 测试搜索
   * @return
   */
  @ResponseBody
  @GetMapping(value = "/testSearch")
  public Result searchData(){
  	List<Order> list = testShardingMapper.searchOrder();
  	System.out.println(list.size() + " all");
  	List<Order> list1 = testShardingMapper.queryWithIn();
  	System.out.println(list1.size() + " In");
  	List<Order> list2 = testShardingMapper.queryWithEqual();
  	System.out.println(list2.size() + " Equal");
  	List<Order> list3 = testShardingMapper.queryWithBetween();
  	System.out.println(list3.size() + " Between");
  	List<Map<String, Object>> list4 = testShardingMapper.queryUser();
  	System.out.println(list4.size() + " user");
  	return ResultUtil.success(null);
  }
}

这里要重点提出来的是做搜索测试的时候,因为主从库都在我本地服务器上,并没有做主从复制,大家可以根据我上篇博文配置一下就可以顺利操作了,如果没有配置的话从库里是不会有数据的,所以在做完写操作时把主库中的数据手动传输给从库,这样才能读出数据。

这里顺便给出Sharding-Sphere的官方地址http://shardingjdbc.io/index_zh.html,以及demo地址https://github.com/sharding-sphere/sharding-sphere-example(demo里Sharding-Sphere的maven配置我在跑的时候没跑通,需要把版本改成3.0.0.M1就ok了)。

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原文链接:https://blog.csdn.net/shijiemozujiejie/article/details/80786231