• Redis生成分布式系统全局唯一ID


    原创转载请注明出处:https://www.cnblogs.com/agilestyle/p/13194027.html

    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ID

    INCR 命令主要有以下2个特征:

    1. Redis的INCR命令具备了“INCR AND GET”的原子操作
    2. 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ID

    Project 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

     1 package org.fool.redis;
     2 
     3 import org.springframework.boot.SpringApplication;
     4 import org.springframework.boot.autoconfigure.SpringBootApplication;
     5 
     6 @SpringBootApplication
     7 public class Application {
     8     public static void main(String[] args) {
     9         SpringApplication.run(Application.class, args);
    10     }
    11 }

    Product.java

     1 package org.fool.redis.model;
     2 
     3 import lombok.Data;
     4 
     5 import java.math.BigDecimal;
     6 
     7 @Data
     8 public class Product {
     9     private Long id;
    10     private String name;
    11     private BigDecimal price;
    12     private String detail;
    13 }

    IdGeneratorService.java

     1 package org.fool.redis.service;
     2 
     3 import org.springframework.beans.factory.annotation.Autowired;
     4 import org.springframework.data.redis.core.StringRedisTemplate;
     5 import org.springframework.stereotype.Service;
     6 
     7 @Service
     8 public class IdGeneratorService {
     9     @Autowired
    10     private StringRedisTemplate stringRedisTemplate;
    11 
    12     private static final String ID_KEY = "id:generator:product";
    13 
    14     public Long incrementId() {
    15         return stringRedisTemplate.opsForValue().increment(ID_KEY);
    16     }
    17 }

    ProductController.java

     1 package org.fool.redis.controller;
     2 
     3 import lombok.extern.slf4j.Slf4j;
     4 import org.fool.redis.model.Product;
     5 import org.fool.redis.service.IdGeneratorService;
     6 import org.springframework.beans.factory.annotation.Autowired;
     7 import org.springframework.web.bind.annotation.PostMapping;
     8 import org.springframework.web.bind.annotation.RequestBody;
     9 import org.springframework.web.bind.annotation.RequestMapping;
    10 import org.springframework.web.bind.annotation.RestController;
    11 
    12 @RestController
    13 @Slf4j
    14 @RequestMapping(value = "/product")
    15 public class ProductController {
    16     @Autowired
    17     private IdGeneratorService idGeneratorService;
    18 
    19     @PostMapping(value = "/create")
    20     public String create(@RequestBody Product obj) {
    21         //生成分布式id
    22         long id = idGeneratorService.incrementId();
    23 
    24         //使用全局id 代替数据库的自增id
    25         obj.setId(id);
    26 
    27         //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
    28         int table = (int) id % 8;
    29         String tableName = "product_" + table;
    30 
    31         log.info("insert to table: {}, with content: {}", tableName, obj);
    32 
    33         return "insert to table: " + tableName + " with content: " + obj;
    34     }
    35 }

    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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  • 原文地址:https://www.cnblogs.com/agilestyle/p/13194027.html
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