Redis生成分佈式系統全局唯一ID的實現
分佈式系統全局唯一ID
在互聯網系統中,並發越大的系統,數據就越大,數據越大就越需要分佈式,而大量的分佈式數據就越需要唯一標識來識別它們。
例如淘寶的商品系統有千億級別商品,訂單系統有萬億級別的訂單數據,這些數據都是日漸增長,傳統的單庫單表是無法支撐這種級別的數據,必須對其進行分庫分表;一旦分庫分表,表的自增ID就失去瞭意義;故需要一個全局唯一的ID來標識每一條數據(商品、訂單)。
e.g: 一張表1億條數據,被分庫分表10張表,原先的ID就失去意義,所以需要全局唯一ID來標識10張表的數據。
全局唯一的ID生成的技術方案有很多,業界比較有名的有 UUID、Redis、Twitter的snowflake算法、美團Leaf算法。
基於Redis INCR 命令生成分佈式全局唯一ID
INCR 命令主要有以下2個特征:
- Redis的INCR命令具備瞭“INCR AND GET”的原子操作
- Redis是單進程單線程架構,INCR命令不會出現ID重復
基於以上2個特性,可以采用INCR命令來實現分佈式全局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
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) { //生成分佈式id long id = idGeneratorService.incrementId(); //使用全局id 代替數據庫的自增id obj.setId(id); //取模(e.g: 這裡分為8張表,海量數據可以分為1024張表),計算表名 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
到此這篇關於Redis生成分佈式系統全局唯一ID的實現的文章就介紹到這瞭,更多相關Redis生成分佈式系統全局唯一ID內容請搜索WalkonNet以前的文章或繼續瀏覽下面的相關文章希望大傢以後多多支持WalkonNet!
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