浅谈订单重构之|浅谈订单重构之 MySQL 分库分表实战篇
目录
- 一、目标
- 二、环境准备
- 1、基本信息
- 2、数据库环境准备
- 3、建库 & 导入分表
- 三、配置&实践
- 1、pom文件
- 2、常量配置
- 3、yml 配置
- 4、分库分表策略
- 5、dao层编写
- 6、单元测试
- 四、总结
一、目标 本文将完成如下目标:
- 分表数量: 256分库数量: 4
- 以用户ID(user_id) 为数据库分片Key
- 最后测试订单创建,更新,删除, 单订单号查询,根据user_id查询列表操作。
文章图片
表结构如下:
CREATE TABLE `order_XXX` (`order_id` bigint(20) unsigned NOT NULL,`user_id` int(11) DEFAULT '0' COMMENT '订单id',`status` int(11) DEFAULT '0' COMMENT '订单状态',`booking_date` datetime DEFAULT NULL,`create_time` datetime DEFAULT NULL,`update_time` datetime DEFAULT NULL,PRIMARY KEY (`order_id`),KEY `idx_user_id` (`user_id`),KEY `idx_bdate` (`booking_date`),KEY `idx_ctime` (`create_time`),KEY `idx_utime` (`update_time`)) ENGINE=InnoDB DEFAULT CHARSET=utf8;
【浅谈订单重构之|浅谈订单重构之 MySQL 分库分表实战篇】注:000<= XXX <= 255, 本文重点在于分库分表实践, 只保留具有代表性字段,其它场景可以在此基础上做改进。
全局唯一ID设计
要求:1.全局唯一 2:粗略有序 3:可反解出库编号
- 1bit + 39bit时间差 + 8bit机器号 + 8bit用户编号(库号) + 8bit自增序列
订单号组成项 | 保留字段 | 毫秒级时间差 | 机器数 | 用户编号(表编号) | 自增序列 |
---|---|---|---|---|---|
所占字节(单位bit) | 1 | 39 | 8 | 8 | 8 |
单机最大QPS: 256000 使用寿命: 17年
二、环境准备
1、基本信息
项 | 版本 | 备注 |
---|---|---|
SpringBoot | 2.1.10.RELEASE | |
Mango | 1.6.16 | wiki地址:https://github.com/jfaster/mango |
HikariCP | 3.2.0 | |
Mysql | 5.7 | 测试使用docker一键搭建 |
2、数据库环境准备
进入mysql:
#主库 mysql -h 172.30.1.21 -uroot -pbytearch#从库 mysql -h 172.30.1.31 -uroot -pbytearch
进入容器
#主docker exec -it db_1_master /bin/bash#从docker exec -it db_1_slave /bin/bash
查看运行状态
#主docker exec db_1_master sh -c 'mysql -u root -pbytearch -e "SHOW MASTER STATUS \G"'#从docker exec db_1_slave sh -c 'mysql -u root -pbytearch -e "SHOW SLAVE STATUS \G"'
3、建库 & 导入分表
(1)在mysql master实例分别建库
172.30.1.21(o rder_db_ 1) ,172.30.1.22( order_db_2) ,
172.30.1.23( ord er_db_3) ,172.30.1.24( order_db_4 )
(2)依次导入建表SQL 命令为
mysql -uroot -pbytearch -h172.30.1.21 order_db_1
三、配置&实践
1、pom文件
org.jfaster mango-spring-boot-starter2.0.1 com.bytearch fast-cloud-id-generator${version} mysql mysql-connector-java6.0.6
2、常量配置
package com.bytearch.fast.cloud.mysql.sharding.common; /** * 分库分表策略常用常量 */public class ShardingStrategyConstant {/*** database 逻辑名称 ,真实库名为 order_db_XXX*/public static final String LOGIC_ORDER_DATABASE_NAME = "order_db"; /*** 分表数 256,一旦确定不可更改*/public static final int SHARDING_TABLE_NUM = 256; /*** 分库数, 不建议更改, 可以更改,但是需要DBA迁移数据*/public static final int SHARDING_DATABASE_NODE_NUM = 4; }
3、yml 配置
4主4从数据库配置, 这里仅测试默认使用root用户密码,生产环境不建议使用root用户。
mango:scan-package: com.bytearch.fast.cloud.mysql.sharding.daodatasources:- name: order_db_1master:driver-class-name: com.mysql.cj.jdbc.Driverjdbc-url: jdbc:mysql://172.30.1.21:3306/order_db_1?useUnicode=true&characterEncoding=utf8&autoReconnect=true&rewriteBatchedState&connectTimeout=1000&socketTimeout=5000&useSSL=falseuser-name: rootpassword: bytearchmaximum-pool-size: 10connection-timeout: 3000slaves:- driver-class-name: com.mysql.cj.jdbc.Driverjdbc-url: jdbc:mysql://172.30.1.31:3306/order_db_1?useUnicode=true&characterEncoding=utf8&autoReconnect=true&rewriteBatchedState&connectTimeout=1000&socketTimeout=5000&useSSL=falseuser-name: rootpassword: bytearchmaximum-pool-size: 10connection-timeout: 3000- name: order_db_2master:driver-class-name: com.mysql.cj.jdbc.Driverjdbc-url: jdbc:mysql://172.30.1.22:3306/order_db_2?useUnicode=true&characterEncoding=utf8&autoReconnect=true&rewriteBatchedState&connectTimeout=1000&socketTimeout=5000&useSSL=falseuser-name: rootpassword: bytearchmaximum-pool-size: 10connection-timeout: 3000slaves:- driver-class-name: com.mysql.cj.jdbc.Driverjdbc-url: jdbc:mysql://172.30.1.32:3306/order_db_2?useUnicode=true&characterEncoding=utf8&autoReconnect=true&rewriteBatchedState&connectTimeout=1000&socketTimeout=5000&useSSL=falseuser-name: rootpassword: bytearchmaximum-pool-size: 10connection-timeout: 3000- name: order_db_3master:driver-class-name: com.mysql.cj.jdbc.Driverjdbc-url: jdbc:mysql://172.30.1.23:3306/order_db_3?useUnicode=true&characterEncoding=utf8&autoReconnect=true&rewriteBatchedState&connectTimeout=1000&socketTimeout=5000&useSSL=falseuser-name: rootpassword: bytearchmaximum-pool-size: 10connection-timeout: 3000slaves:- driver-class-name: com.mysql.cj.jdbc.Driverjdbc-url: jdbc:mysql://172.30.1.33:3306/order_db_3?useUnicode=true&characterEncoding=utf8&autoReconnect=true&rewriteBatchedState&connectTimeout=1000&socketTimeout=5000&useSSL=falseuser-name: rootpassword: bytearchmaximum-pool-size: 10connection-timeout: 3000- name: order_db_4master:driver-class-name: com.mysql.cj.jdbc.Driverjdbc-url: jdbc:mysql://172.30.1.24:3306/order_db_4?useUnicode=true&characterEncoding=utf8&autoReconnect=true&rewriteBatchedState&connectTimeout=1000&socketTimeout=5000&useSSL=falseuser-name: rootpassword: bytearchmaximum-pool-size: 10connection-timeout: 3000slaves:- driver-class-name: com.mysql.cj.jdbc.Driverjdbc-url: jdbc:mysql://172.30.1.34:3306/order_db_4?useUnicode=true&characterEncoding=utf8&autoReconnect=true&rewriteBatchedState&connectTimeout=1000&socketTimeout=5000&useSSL=falseuser-name: rootpassword: bytearchmaximum-pool-size: 10connection-timeout: 300
4、分库分表策略
1). 根据order_id为shardKey分库分表策略
package com.bytearch.fast.cloud.mysql.sharding.strategy; import com.bytearch.fast.cloud.mysql.sharding.common.ShardingStrategyConstant; import com.bytearch.id.generator.IdEntity; import com.bytearch.id.generator.SeqIdUtil; import org.jfaster.mango.sharding.ShardingStrategy; /** * 订单号分库分表策略 */public class OrderIdShardingStrategy implements ShardingStrategy{@Overridepublic String getDataSourceFactoryName(Long orderId) {if (orderId == null || orderId < 0L) {throw new IllegalArgumentException("order_id is invalid!"); }IdEntity idEntity = SeqIdUtil.decodeId(orderId); if (idEntity.getExtraId() >= ShardingStrategyConstant.SHARDING_TABLE_NUM) {throw new IllegalArgumentException("sharding table Num is invalid, tableNum:" + idEntity.getExtraId()); }//1. 计算步长int step = ShardingStrategyConstant.SHARDING_TABLE_NUM / ShardingStrategyConstant.SHARDING_DATABASE_NODE_NUM; //2. 计算出库编号long dbNo = Math.floorDiv(idEntity.getExtraId(), step) + 1; //3. 返回数据源名return String.format("%s_%s", ShardingStrategyConstant.LOGIC_ORDER_DATABASE_NAME, dbNo); }@Overridepublic String getTargetTable(String logicTableName, Long orderId) {if (orderId == null || orderId < 0L) {throw new IllegalArgumentException("order_id is invalid!"); }IdEntity idEntity = SeqIdUtil.decodeId(orderId); if (idEntity.getExtraId() >= ShardingStrategyConstant.SHARDING_TABLE_NUM) {throw new IllegalArgumentException("sharding table Num is invalid, tableNum:" + idEntity.getExtraId()); }// 基于约定,真实表名为 logicTableName_XXX, XXX不足三位补0return String.format("%s_%03d", logicTableName, idEntity.getExtraId()); }}
2). 根据user_id 为shardKey分库分表策略
package com.bytearch.fast.cloud.mysql.sharding.strategy; import com.bytearch.fast.cloud.mysql.sharding.common.ShardingStrategyConstant; import org.jfaster.mango.sharding.ShardingStrategy; /** * 指定分片KEY 分库分表策略 */public class UserIdShardingStrategy implements ShardingStrategy{@Overridepublic String getDataSourceFactoryName(Integer userId) {//1. 计算步长 即单库放得表数量int step = ShardingStrategyConstant.SHARDING_TABLE_NUM / ShardingStrategyConstant.SHARDING_DATABASE_NODE_NUM; //2. 计算出库编号long dbNo = Math.floorDiv(userId % ShardingStrategyConstant.SHARDING_TABLE_NUM, step) + 1; //3. 返回数据源名return String.format("%s_%s", ShardingStrategyConstant.LOGIC_ORDER_DATABASE_NAME, dbNo); }@Overridepublic String getTargetTable(String logicTableName, Integer userId) {// 基于约定,真实表名为 logicTableName_XXX, XXX不足三位补0return String.format("%s_%03d", logicTableName, userId % ShardingStrategyConstant.SHARDING_TABLE_NUM); }}
5、dao层编写
1). OrderPartitionByIdDao
package com.bytearch.fast.cloud.mysql.sharding.dao; import com.bytearch.fast.cloud.mysql.sharding.common.ShardingStrategyConstant; import com.bytearch.fast.cloud.mysql.sharding.pojo.entity.OrderEntity; import com.bytearch.fast.cloud.mysql.sharding.strategy.OrderIdShardingStrategy; import org.jfaster.mango.annotation.*; @DB(name = ShardingStrategyConstant.LOGIC_ORDER_DATABASE_NAME, table = "order")@Sharding(shardingStrategy = OrderIdShardingStrategy.class)public interface OrderPartitionByIdDao {@SQL("INSERT INTO #table (order_id, user_id, status, booking_date, create_time, update_time) VALUES" +"(:orderId,:userId,:status,:bookingDate,:createTime,:updateTime)")int insertOrder(@TableShardingBy("orderId") @DatabaseShardingBy("orderId") OrderEntity orderEntity); @SQL("UPDATE #table set update_time = now()" +"#if(:bookingDate != null),booking_date = :bookingDate #end " +"#if (:status != null), status = :status #end" +"WHERE order_id = :orderId")int updateOrderByOrderId(@TableShardingBy("orderId") @DatabaseShardingBy("orderId") OrderEntity orderEntity); @SQL("SELECT * FROM #table WHERE order_id = :1")OrderEntity getOrderById(@TableShardingBy @DatabaseShardingBy Long orderId); @SQL("SELECT * FROM #table WHERE order_id = :1")@UseMasterOrderEntity getOrderByIdFromMaster(@TableShardingBy @DatabaseShardingBy Long orderId);
6、单元测试
@SpringBootTest(classes = {Application.class})@RunWith(SpringJUnit4ClassRunner.class)public class ShardingTest {@AutowiredOrderPartitionByIdDao orderPartitionByIdDao; @AutowiredOrderPartitionByUserIdDao orderPartitionByUserIdDao; @Testpublic void testCreateOrderRandom() {for (int i = 0; i < 20; i++) {int userId = ThreadLocalRandom.current().nextInt(1000,1000000); OrderEntity orderEntity = new OrderEntity(); orderEntity.setOrderId(SeqIdUtil.nextId(userId % ShardingStrategyConstant.SHARDING_TABLE_NUM)); orderEntity.setStatus(1); orderEntity.setUserId(userId); orderEntity.setCreateTime(new Date()); orderEntity.setUpdateTime(new Date()); orderEntity.setBookingDate(new Date()); int ret = orderPartitionByIdDao.insertOrder(orderEntity); Assert.assertEquals(1, ret); }}@Testpublic void testOrderAll() {//insertint userId = ThreadLocalRandom.current().nextInt(1000,1000000); OrderEntity orderEntity = new OrderEntity(); orderEntity.setOrderId(SeqIdUtil.nextId(userId % ShardingStrategyConstant.SHARDING_TABLE_NUM)); orderEntity.setStatus(1); orderEntity.setUserId(userId); orderEntity.setCreateTime(new Date()); orderEntity.setUpdateTime(new Date()); orderEntity.setBookingDate(new Date()); int i = orderPartitionByIdDao.insertOrder(orderEntity); Assert.assertEquals(1, i); //get from masterOrderEntity orderInfo = orderPartitionByIdDao.getOrderByIdFromMaster(orderEntity.getOrderId()); Assert.assertNotNull(orderInfo); Assert.assertEquals(orderInfo.getOrderId(), orderEntity.getOrderId()); //get from slaveOrderEntity slaveOrderInfo = orderPartitionByIdDao.getOrderById(orderEntity.getOrderId()); Assert.assertNotNull(slaveOrderInfo); //updateOrderEntity updateEntity = new OrderEntity(); updateEntity.setOrderId(orderInfo.getOrderId()); updateEntity.setStatus(2); updateEntity.setUpdateTime(new Date()); int affectRows = orderPartitionByIdDao.updateOrderByOrderId(updateEntity); Assert.assertTrue( affectRows > 0); }@Testpublic void testGetListByUserId() {int userId = ThreadLocalRandom.current().nextInt(1000,1000000); for (int i = 0; i < 5; i++) {OrderEntity orderEntity = new OrderEntity(); orderEntity.setOrderId(SeqIdUtil.nextId(userId % ShardingStrategyConstant.SHARDING_TABLE_NUM)); orderEntity.setStatus(1); orderEntity.setUserId(userId); orderEntity.setCreateTime(new Date()); orderEntity.setUpdateTime(new Date()); orderEntity.setBookingDate(new Date()); orderPartitionByIdDao.insertOrder(orderEntity); }try {//防止主从延迟引起的校验错误Thread.sleep(1000); } catch (InterruptedException e) {e.printStackTrace(); }ListorderListByUserId = orderPartitionByUserIdDao.getOrderListByUserId(userId); Assert.assertNotNull(orderListByUserId); Assert.assertTrue(orderListByUserId.size() == 5); }}
大功告成:
文章图片
四、总结
本篇主要介绍Java版使用Mango框架实现Mysql分库分表实战,分库分表中间件也可以使用类似于ShardingJDBC,或者自研。
以上分库分表数量仅供演示参考,实际工作中分表数量、分库数量、是根据公司实际业务数据增长速度, 高峰期QPS,物理机器配置等等因素计算。
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