浅谈订单重构之 MySQL 分库分表实战篇

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。

架构图:

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;

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)139888

单机最大QPS: 256000 使用寿命: 17年

二、环境准备

1、基本信息

版本备注
SpringBoot2.1.10.RELEASE

Mango1.6.16wiki地址:https://github.com/jfaster/mango
HikariCP3.2.0

Mysql5.7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<fast-cloud-mysql-sharding/doc/sql/order_db_1.sql;

mysql -uroot -pbytearch -h172.30.1.22 order_db_2<fast-cloud-mysql-sharding/doc/sql/order_db_2.sql;

mysql -uroot -pbytearch -h172.30.1.23 order_db_3<fast-cloud-mysql-sharding/doc/sql/order_db_3.sql;

mysql -uroot -pbytearch -h172.30.1.24 order_db_4<fast-cloud-mysql-sharding/doc/sql/order_db_4.sql;

三、配置&实践

1、pom文件  

<!-- mango 分库分表中间件 -->

<dependency>

<groupId>org.jfaster</groupId>

<artifactId>mango-spring-boot-starter</artifactId>

<version>2.0.1</version>

</dependency>

<!-- 分布式ID生成器 -->

<dependency>

<groupId>com.bytearch</groupId>

<artifactId>fast-cloud-id-generator</artifactId>

<version>${version}</version>

</dependency>

<!-- https://mvnrepository.com/artifact/mysql/mysql-connector-java -->

<dependency>

<groupId>mysql</groupId>

<artifactId>mysql-connector-java</artifactId>

<version>6.0.6</version>

</dependency>

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.dao

datasources:

- name: order_db_1

master:

driver-class-name: com.mysql.cj.jdbc.Driver

jdbc-url: jdbc:mysql://172.30.1.21:3306/order_db_1?useUnicode=true&characterEncoding=utf8&autoReconnect=true&rewriteBatchedState&connectTimeout=1000&socketTimeout=5000&useSSL=false

user-name: root

password: bytearch

maximum-pool-size: 10

connection-timeout: 3000

slaves:

- driver-class-name: com.mysql.cj.jdbc.Driver

jdbc-url: jdbc:mysql://172.30.1.31:3306/order_db_1?useUnicode=true&characterEncoding=utf8&autoReconnect=true&rewriteBatchedState&connectTimeout=1000&socketTimeout=5000&useSSL=false

user-name: root

password: bytearch

maximum-pool-size: 10

connection-timeout: 3000

- name: order_db_2

master:

driver-class-name: com.mysql.cj.jdbc.Driver

jdbc-url: jdbc:mysql://172.30.1.22:3306/order_db_2?useUnicode=true&characterEncoding=utf8&autoReconnect=true&rewriteBatchedState&connectTimeout=1000&socketTimeout=5000&useSSL=false

user-name: root

password: bytearch

maximum-pool-size: 10

connection-timeout: 3000

slaves:

- driver-class-name: com.mysql.cj.jdbc.Driver

jdbc-url: jdbc:mysql://172.30.1.32:3306/order_db_2?useUnicode=true&characterEncoding=utf8&autoReconnect=true&rewriteBatchedState&connectTimeout=1000&socketTimeout=5000&useSSL=false

user-name: root

password: bytearch

maximum-pool-size: 10

connection-timeout: 3000

- name: order_db_3

master:

driver-class-name: com.mysql.cj.jdbc.Driver

jdbc-url: jdbc:mysql://172.30.1.23:3306/order_db_3?useUnicode=true&characterEncoding=utf8&autoReconnect=true&rewriteBatchedState&connectTimeout=1000&socketTimeout=5000&useSSL=false

user-name: root

password: bytearch

maximum-pool-size: 10

connection-timeout: 3000

slaves:

- driver-class-name: com.mysql.cj.jdbc.Driver

jdbc-url: jdbc:mysql://172.30.1.33:3306/order_db_3?useUnicode=true&characterEncoding=utf8&autoReconnect=true&rewriteBatchedState&connectTimeout=1000&socketTimeout=5000&useSSL=false

user-name: root

password: bytearch

maximum-pool-size: 10

connection-timeout: 3000

- name: order_db_4

master:

driver-class-name: com.mysql.cj.jdbc.Driver

jdbc-url: jdbc:mysql://172.30.1.24:3306/order_db_4?useUnicode=true&characterEncoding=utf8&autoReconnect=true&rewriteBatchedState&connectTimeout=1000&socketTimeout=5000&useSSL=false

user-name: root

password: bytearch

maximum-pool-size: 10

connection-timeout: 3000

slaves:

- driver-class-name: com.mysql.cj.jdbc.Driver

jdbc-url: jdbc:mysql://172.30.1.34:3306/order_db_4?useUnicode=true&characterEncoding=utf8&autoReconnect=true&rewriteBatchedState&connectTimeout=1000&socketTimeout=5000&useSSL=false

user-name: root

password: bytearch

maximum-pool-size: 10

connection-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<Long, Long> {

@Override

public 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);

}

@Override

public 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0

return 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<Integer, Integer> {

@Override

public 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);

}

@Override

public String getTargetTable(String logicTableName, Integer userId) {

// 基于约定,真实表名为 logicTableName_XXX, XXX不足三位补0

return 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")

@UseMaster

OrderEntity getOrderByIdFromMaster(@TableShardingBy @DatabaseShardingBy Long orderId);

6、单元测试

@SpringBootTest(classes = {Application.class})

@RunWith(SpringJUnit4ClassRunner.class)

public class ShardingTest {

@Autowired

OrderPartitionByIdDao orderPartitionByIdDao;

@Autowired

OrderPartitionByUserIdDao orderPartitionByUserIdDao;

@Test

public 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);

}

}

@Test

public void testOrderAll() {

//insert

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 i = orderPartitionByIdDao.insertOrder(orderEntity);

Assert.assertEquals(1, i);

//get from master

OrderEntity orderInfo = orderPartitionByIdDao.getOrderByIdFromMaster(orderEntity.getOrderId());

Assert.assertNotNull(orderInfo);

Assert.assertEquals(orderInfo.getOrderId(), orderEntity.getOrderId());

//get from slave

OrderEntity slaveOrderInfo = orderPartitionByIdDao.getOrderById(orderEntity.getOrderId());

Assert.assertNotNull(slaveOrderInfo);

//update

OrderEntity updateEntity = new OrderEntity();

updateEntity.setOrderId(orderInfo.getOrderId());

updateEntity.setStatus(2);

updateEntity.setUpdateTime(new Date());

int affectRows = orderPartitionByIdDao.updateOrderByOrderId(updateEntity);

Assert.assertTrue( affectRows > 0);

}

@Test

public 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();

}

List<OrderEntity> orderListByUserId = orderPartitionByUserIdDao.getOrderListByUserId(userId);

Assert.assertNotNull(orderListByUserId);

Assert.assertTrue(orderListByUserId.size() == 5);

}

}

大功告成:

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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