Redis生成分布式系统全局唯一ID的实现
目录
分布式系统全局唯一ID
基于Redis INCR 命令生成分布式全局唯一ID
采用Redis生成商品全局唯一ID
分布式系统全局唯一ID在互联网系统中，并发越大的系统，数据就越大，数据越大就越需要分布式，而大量的分布式数据就越需要唯一标识来识别它们。
例如淘宝的商品系统有千亿级别商品，订单系统有万亿级别的订单数据，这些数据都是日渐增长，传统的单库单表是无法支撑这种级别的数据，必须对其进行分库分表；一旦分库分表，表的自增ID就失去了意义；故需要一个全局唯一的ID来标识每一条数据（商品、订单）。
e.g: 一张表1亿条数据，被分库分表10张表，原先的ID就失去意义，所以需要全局唯一ID来标识10张表的数据。
全局唯一的ID生成的技术方案有很多，业界比较有名的有 UUID、Redis、Twitter的snowflake算法、美团Leaf算法。
基于Redis INCR 命令生成分布式全局唯一IDINCR 命令主要有以下2个特征：
Redis的INCR命令具备了“INCR AND GET”的原子操作
Redis是单进程单线程架构，INCR命令不会出现ID重复
基于以上2个特性，可以采用INCR命令来实现分布式全局ID生成。
采用Redis生成商品全局唯一IDProject Directory
Maven Dependency
<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
<parent>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-parent</artifactId>
<version>2.2.8.RELEASE</version>
<relativePath/>
</parent>
<modelVersion>4.0.0</modelVersion>
<groupId>org.fool.redis</groupId>
<artifactId>redis-string-id</artifactId>
<version>1.0-SNAPSHOT</version>
<dependencies>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-web</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-test</artifactId>
<scope>test</scope>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-data-redis</artifactId>
</dependency>
<dependency>
<groupId>org.projectlombok</groupId>
<artifactId>lombok</artifactId>
<version>1.18.12</version>
</dependency>
</dependencies>
<build>
<plugins>
<plugin>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-maven-plugin</artifactId>
</plugin>
</plugins>
</build>
</project>
application.properties
spring.application.name=redis-spring-id
server.port=8888
spring.redis.host=localhost
spring.redis.port=6379
spring.redis.database=0
spring.redis.password=
spring.redis.timeout=2000
spring.redis.pool.max-active=10
spring.redis.pool.max-wait=1000
spring.redis.pool.max-idle=10
spring.redis.pool.min-idle=5
spring.redis.pool.num-tests-per-eviction-run=1024
spring.redis.pool.time-between-eviction-runs-millis=30000
spring.redis.pool.min-evictable-idle-time-millis=60000
spring.redis.pool.soft-min-evictable-idle-time-millis=10000
spring.redis.pool.test-on-borrow=true
spring.redis.pool.test-while-idle=true
spring.redis.pool.block-when-exhausted=false
SRC
Application.java
package org.fool.redis;
import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
@SpringBootApplication
public class Application {
public static void main(String[] args) {
SpringApplication.run(Application.class, args);
}
}
Product.java
package org.fool.redis.model;
import lombok.Data;
import java.math.BigDecimal;
@Data
public class Product {
private Long id;
private String name;
private BigDecimal price;
private String detail;
}
IdGeneratorService.java
package org.fool.redis.service;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.redis.core.StringRedisTemplate;
import org.springframework.stereotype.Service;
@Service
public class IdGeneratorService {
@Autowired
private StringRedisTemplate stringRedisTemplate;
private static final String ID_KEY = "id:generator:product";
public Long incrementId() {
return stringRedisTemplate.opsForValue().increment(ID_KEY);
}
}
ProductController.java
package org.fool.redis.controller;
import lombok.extern.slf4j.Slf4j;
import org.fool.redis.model.Product;
import org.fool.redis.service.IdGeneratorService;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.PostMapping;
import org.springframework.web.bind.annotation.RequestBody;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;
@RestController
@Slf4j
@RequestMapping(value = "/product")
public class ProductController {
@Autowired
private IdGeneratorService idGeneratorService;
@PostMapping(value = "/create")
public String create(@RequestBody Product obj) {
//生成分布式id
long id = idGeneratorService.incrementId();
//使用全局id 代替数据库的自增id
obj.setId(id);
//取模(e.g: 这里分为8张表，海量数据可以分为1024张表)，计算表名
int table = (int) id % 8;
String tableName = "product_" + table;
log.info("insert to table: {}, with content: {}", tableName, obj);
return "insert to table: " + tableName + " with content: " + obj;
}
}
Test
curl --location --request POST 'http://localhost:8888/product/create' \
--header 'Content-Type: application/json' \
--data-raw '{
"name": "Car",
"price": "300000.00",
"detail": "Lexus Style"
}'
Console Output
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