SpringBoot压缩json并写入Redis的示例代码

 更新时间:2024年08月28日 08:39:02   作者:HBLOG  
由于业务需要,存入redis中的缓存数据过大,占用了10+G的内存,内存作为重要资源,需要优化一下大对象缓存,所以我们需要对json进行压缩,本文给大家介绍了SpringBoot如何压缩Json并写入redis,需要的朋友可以参考下

1.为什么需要压缩json?

由于业务需要,存入redis中的缓存数据过大,占用了10+G的内存,内存作为重要资源,需要优化一下大对象缓存,采用gzip压缩存储,可以将 redis 的 kv 对大小缩小大约 7-8 倍,加快存储、读取速度

2.环境搭建

详建redis模块的docker目录

version: '3'
services:
  redis:
    image: registry.cn-hangzhou.aliyuncs.com/zhengqing/redis:6.0.8                   
    container_name: redis                                                             
    restart: unless-stopped                                                                  
    command: redis-server /etc/redis/redis.conf --requirepass 123456 --appendonly no
#    command: redis-server --requirepass 123456 --appendonly yes 
    environment:                        
      TZ: Asia/Shanghai
      LANG: en_US.UTF-8
    volumes:                           
      - "./redis/data:/data"
      - "./redis/config/redis.conf:/etc/redis/redis.conf"  
    ports:                              
      - "6379:6379"

3.代码工程

实验目标

实验存入redis的json数据压缩和解压缩

pom.xml

<?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>
        <artifactId>springboot-demo</artifactId>
        <groupId>com.et</groupId>
        <version>1.0-SNAPSHOT</version>
    </parent>
    <modelVersion>4.0.0</modelVersion>

    <artifactId>gzip</artifactId>

    <properties>
        <maven.compiler.source>8</maven.compiler.source>
        <maven.compiler.target>8</maven.compiler.target>
    </properties>
    <dependencies>
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-web</artifactId>
        </dependency>

        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-autoconfigure</artifactId>
        </dependency>
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-test</artifactId>
            <scope>test</scope>
        </dependency>
        <dependency>
            <groupId>org.projectlombok</groupId>
            <artifactId>lombok</artifactId>
        </dependency>
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-data-redis</artifactId>
        </dependency>
        <dependency>
            <groupId>org.apache.commons</groupId>
            <artifactId>commons-pool2</artifactId>
            <version>2.9.0</version>
        </dependency>

    </dependencies>
</project>

controller

package com.et.gzip.controller;

import com.et.gzip.model.User;
import lombok.extern.slf4j.Slf4j;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.redis.core.RedisTemplate;
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;

import java.util.HashMap;
import java.util.Map;

@RestController
@Slf4j
public class HelloWorldController {
    @Autowired
    private RedisTemplate redisTemplateWithJackson;

    @PostMapping("/hello")
    public User showHelloWorld(@RequestBody User user){
        log.info("user:"+ user);

        return user;
    }
    @PostMapping("/redis")
    public User redis(@RequestBody User user){
        log.info("user:"+ user);
        redisTemplateWithJackson.opsForValue().set("user",user);
        User redisUser = (User) redisTemplateWithJackson.opsForValue().get("user");
        return redisUser;
    }
}

redis压缩和解压缩配置

压缩类

package com.et.gzip.config;

import com.et.gzip.model.User;

import com.fasterxml.jackson.databind.ObjectMapper;
import com.fasterxml.jackson.databind.annotation.JsonSerialize;
import lombok.extern.slf4j.Slf4j;
import org.apache.tomcat.util.http.fileupload.IOUtils;

import org.springframework.data.redis.serializer.JdkSerializationRedisSerializer;
import org.springframework.data.redis.serializer.SerializationException;
import sun.misc.BASE64Encoder;

import java.io.ByteArrayInputStream;
import java.io.ByteArrayOutputStream;
import java.text.SimpleDateFormat;
import java.util.zip.GZIPInputStream;
import java.util.zip.GZIPOutputStream;

@Slf4j
public class CompressRedis extends JdkSerializationRedisSerializer {

    public static final int BUFFER_SIZE = 4096;

    private JacksonRedisSerializer<User>  jacksonRedisSerializer;
    public CompressRedis() {
        this.jacksonRedisSerializer = getValueSerializer();
    }

    @Override
    public byte[] serialize(Object graph) throws SerializationException {
        if (graph == null) {
            return new byte[0];
        }
        ByteArrayOutputStream bos = null;
        GZIPOutputStream gzip = null;
        try {
            // serialize
            byte[] bytes = jacksonRedisSerializer.serialize(graph);
            log.info("bytes size{}",bytes.length);
            bos = new ByteArrayOutputStream();
            gzip = new GZIPOutputStream(bos);

            // compress
            gzip.write(bytes);
            gzip.finish();
            byte[] result = bos.toByteArray();

            log.info("result size{}",result.length);
            //return result;
            return new BASE64Encoder().encode(result).getBytes();
        } catch (Exception e) {
            throw new SerializationException("Gzip Serialization Error", e);
        } finally {
            IOUtils.closeQuietly(bos);
            IOUtils.closeQuietly(gzip);
        }
    }

    @Override
    public Object deserialize(byte[] bytes) throws SerializationException {
        if (bytes == null || bytes.length == 0) {
            return null;
        }
        ByteArrayOutputStream bos = null;
        ByteArrayInputStream bis = null;
        GZIPInputStream gzip = null;
        try {
            bos = new ByteArrayOutputStream();
            byte[] compressed = new sun.misc.BASE64Decoder().decodeBuffer( new String(bytes));;
            bis = new ByteArrayInputStream(compressed);
            gzip = new GZIPInputStream(bis);
            byte[] buff = new byte[BUFFER_SIZE];
            int n;


            // uncompress
            while ((n = gzip.read(buff, 0, BUFFER_SIZE)) > 0) {
                bos.write(buff, 0, n);
            }
            //deserialize
            Object result = jacksonRedisSerializer.deserialize(bos.toByteArray());
            return result;
        } catch (Exception e) {
            throw new SerializationException("Gzip deserizelie error", e);
        } finally {
            IOUtils.closeQuietly(bos);
            IOUtils.closeQuietly(bis);
            IOUtils.closeQuietly(gzip);
        }
    }

    private static JacksonRedisSerializer<User> getValueSerializer() {
        JacksonRedisSerializer<User> jackson2JsonRedisSerializer = new JacksonRedisSerializer<>(User.class);
        ObjectMapper mapper=new ObjectMapper();
        jackson2JsonRedisSerializer.setObjectMapper(mapper);
        return jackson2JsonRedisSerializer;
    }

}

java序列化

package com.et.gzip.config;


import com.fasterxml.jackson.databind.JavaType;
import com.fasterxml.jackson.databind.ObjectMapper;
import com.fasterxml.jackson.databind.type.TypeFactory;
import lombok.extern.slf4j.Slf4j;

import org.springframework.data.redis.serializer.RedisSerializer;
import org.springframework.data.redis.serializer.SerializationException;
import org.springframework.lang.Nullable;
import org.springframework.util.Assert;

import java.nio.charset.Charset;
import java.nio.charset.StandardCharsets;

@Slf4j
public class JacksonRedisSerializer<T> implements RedisSerializer<T> {
    public static final Charset DEFAULT_CHARSET;
    private final JavaType javaType;
    private ObjectMapper objectMapper = new ObjectMapper();

    public JacksonRedisSerializer(Class<T> type) {
        this.javaType = this.getJavaType(type);
    }

    public JacksonRedisSerializer(JavaType javaType) {
        this.javaType = javaType;
    }

    public T deserialize(@Nullable byte[] bytes) throws SerializationException {
        if (bytes == null || bytes.length == 0) {
            return null;
        } else {
            try {
                return this.objectMapper.readValue(bytes, 0, bytes.length, this.javaType);

            } catch (Exception var3) {
                throw new SerializationException("Could not read JSON: " + var3.getMessage(), var3);
            }
        }
    }

    public byte[] serialize(@Nullable Object t) throws SerializationException {
        if (t == null) {
            return  new byte[0];
        } else {
            try {
                return this.objectMapper.writeValueAsBytes(t);
            } catch (Exception var3) {
                throw new SerializationException("Could not write JSON: " + var3.getMessage(), var3);
            }
        }
    }

    public void setObjectMapper(ObjectMapper objectMapper) {
        Assert.notNull(objectMapper, "'objectMapper' must not be null");
        this.objectMapper = objectMapper;
    }

    protected JavaType getJavaType(Class<?> clazz) {
        return TypeFactory.defaultInstance().constructType(clazz);
    }

    static {
        DEFAULT_CHARSET = StandardCharsets.UTF_8;
    }
}

redis序列化

package com.et.gzip.config;

import com.et.gzip.model.User;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.data.redis.connection.lettuce.LettuceConnectionFactory;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.serializer.RedisSerializer;
import org.springframework.data.redis.serializer.StringRedisSerializer;


@Configuration
public class RedisWithJacksonConfig {


    @Bean(name="redisTemplateWithJackson")
    public RedisTemplate<String, User> redisTemplate(LettuceConnectionFactory lettuceConnectionFactory) {

        CompressRedis  compressRedis =  new CompressRedis();
        //redisTemplate
        RedisTemplate<String, User> redisTemplate = new RedisTemplate<>();
        redisTemplate.setConnectionFactory(lettuceConnectionFactory);
        RedisSerializer<?> stringSerializer = new StringRedisSerializer();
        redisTemplate.setKeySerializer(stringSerializer);
        redisTemplate.setValueSerializer(compressRedis);
        redisTemplate.setHashKeySerializer(stringSerializer);
        redisTemplate.setHashValueSerializer(compressRedis);
        redisTemplate.afterPropertiesSet();
        return redisTemplate;
    }
}

application.yaml

spring:
  redis:
    host: 127.0.0.1
    port: 6379
    database: 10
    password: 123456
    timeout: 10s
    lettuce:
      pool:
        min-idle: 0
        max-idle: 8
        max-active: 8
        max-wait: -1ms
server:
  port: 8088
  compression:
    enabled: true
    mime-types: application/json,application/xml,text/html,text/plain,text/css,application/x-javascript

以上只是一些关键代码,所有代码请参见下面代码仓库

代码仓库

4.测试

  • 启动spring boot应用
  • 用postman访问http://127.0.0.1:8088/redis

可以看到redis里面存储的是gzip压缩的内容

查看控制台日志

2024-08-26 14:37:56.445 INFO 43832 --- [nio-8088-exec-5] com.et.gzip.config.CompressRedis : bytes size371
2024-08-26 14:37:56.445 INFO 43832 --- [nio-8088-exec-5] com.et.gzip.config.CompressRedis : result size58

JSON经过gzip压缩,371-->58, 数据大小减少7-8倍

到此这篇关于SpringBoot压缩json并写入Redis的示例代码的文章就介绍到这了,更多相关SpringBoot压缩json内容请搜索脚本之家以前的文章或继续浏览下面的相关文章希望大家以后多多支持脚本之家!

相关文章

  • SpringBoot集成vue的开发解决方案

    SpringBoot集成vue的开发解决方案

    这篇文章主要介绍了SpringBoot集成vue的开发解决方案,文中通过示例代码介绍的非常详细,对大家的学习或者工作具有一定的参考学习价值,需要的朋友们下面随着小编来一起学习学习吧
    2020-12-12
  • [Spring MVC]-详解SpringMVC的各种参数绑定方式

    [Spring MVC]-详解SpringMVC的各种参数绑定方式

    本篇文章主要介绍了SpringMVC的各种参数绑定方式 ,具有一定的参考价值,有需要的可以了解一下。
    2016-12-12
  • Java对象创建的过程流程分析

    Java对象创建的过程流程分析

    本文详细介绍了Java对象创建的整个过程,包括类加载、内存分配、对象头设置、构造器初始化以及内存分配的安全问题,文章还讨论了新生代和老年代的内存分配策略,特别是使用指针碰撞和空闲列表两种方式,感兴趣的朋友跟随小编一起看看吧
    2026-01-01
  • Java的RxJava库操作符的用法及实例讲解

    Java的RxJava库操作符的用法及实例讲解

    RxJava由于提供异步和基于事件的支持在Android开发者中获得了不少人气,这里我们就来看一下Java的RxJava库操作符的用法及实例讲解,需要的朋友可以参考下
    2016-06-06
  • Java面试必备八股文整理

    Java面试必备八股文整理

    这篇文章主要介绍了Java面试必备八股文整理,小伙伴们出去面试的时候会被问到很多java专业性的知识,那么八股文就是为此而出现的,需要的朋友可以参考下
    2023-03-03
  • Java 中 String,StringBuffer 和 StringBuilder 的区别及用法

    Java 中 String,StringBuffer 和 StringBuilder 的区别及用法

    这篇文章主要介绍了Java 中 String,StringBuffer 和 StringBuilder 的区别及用法的相关资料,需要的朋友可以参考下
    2017-03-03
  • Java数据结构彻底理解关于KMP算法

    Java数据结构彻底理解关于KMP算法

    这篇文章主要介绍了Java数据结构关于KMP算法,本文给大家介绍的非常详细,对大家的学习或工作具有一定的参考借鉴价值,需要的朋友可以参考下
    2021-09-09
  • SpringBoot通过main方法启动web项目实践

    SpringBoot通过main方法启动web项目实践

    SpringBoot通过SpringApplication.run()启动Web项目,自动推断应用类型,加载初始化器与监听器,配置SpringMVC组件,启动嵌入式服务器,实现零配置启动
    2025-08-08
  • 分布式消息队列RocketMQ概念详解

    分布式消息队列RocketMQ概念详解

    RocketMQ 是阿里开源的分布式消息中间件,跟其它中间件相比,RocketMQ 的特点是纯JAVA实现,是一套提供了消息生产,存储,消费全过程API的软件系统,本文详细介绍了分布式消息队列RocketMQ概念,需要的朋友可以参考下
    2023-05-05
  • java后端请求过滤options方式

    java后端请求过滤options方式

    Optional项是一个容器对象,它可以包含非空值,也可以不包含非空值,它用于表示没有值,而不是使用 null,引入Optional项是为了帮助开发人员编写更简洁、更具表现力的代码,并避免 NullPointerException
    2024-01-01

最新评论