[原创]Springboot整合redis从安装到FLUSHALL

语言: java+kotlin

# windows下安装redis

参考 https://www.cnblogs.com/jaign/articles/7920588.html

# 安装redis可视化工具 Redis Desktop Manager

参考 https://www.cnblogs.com/zheting/p/7670154.html

# 依赖

    compile('org.springframework.boot:spring-boot-starter-data-redis')

# application.yml配置

spring:
 # redis
  redis:
    database: 0
    host: localhost
    port: 6379
    password: 12345
    jedis:
      pool:
        max-active: 10
        min-idle: 0
        max-idle: 8
    timeout: 10000

# redis配置类 new RedisConfiguration

package com.futao.springmvcdemo.foundation.configuration

import org.springframework.cache.CacheManager
import org.springframework.cache.annotation.CachingConfigurerSupport
import org.springframework.cache.annotation.EnableCaching
import org.springframework.cache.interceptor.KeyGenerator
import org.springframework.context.annotation.Bean
import org.springframework.context.annotation.Configuration
import org.springframework.data.redis.cache.RedisCacheManager
import org.springframework.data.redis.connection.RedisConnectionFactory
import org.springframework.data.redis.core.RedisTemplate
import org.springframework.data.redis.serializer.StringRedisSerializer
import javax.annotation.Resource

/**
 * redis配置类
 *
 * @author futao
 * Created on 2018/10/16.
 *
 * redisTemplate.opsForValue();//操作字符串
 * redisTemplate.opsForHash();//操作hash
 * redisTemplate.opsForList();//操作list
 * redisTemplate.opsForSet();//操作set
 * redisTemplate.opsForZSet();//操作有序set
 *
 */
@Configuration
@EnableCaching
open class RedisConfiguration : CachingConfigurerSupport() {

    /**
     * 自定义redis key的生成规则
     */
    @Bean
    override fun keyGenerator(): KeyGenerator {
        return KeyGenerator { target, method, params ->
            val builder = StringBuilder()
            builder.append("${target.javaClass.simpleName}-")
                    .append("${method.name}-")
            for (param in params) {
                builder.append("$param-")
            }
            builder.toString().toLowerCase()
        }
    }

    /**
     * 自定义序列化
     * 这里的FastJsonRedisSerializer引用的自己定义的
     */
    @Bean
    open fun redisTemplate(factory: RedisConnectionFactory): RedisTemplate {
        val redisTemplate = RedisTemplate()
        val fastJsonRedisSerializer = FastJsonRedisSerializer(Any::class.java)
        val stringRedisSerializer = StringRedisSerializer()
        return redisTemplate.apply {
            defaultSerializer = fastJsonRedisSerializer
            keySerializer = stringRedisSerializer
            hashKeySerializer = stringRedisSerializer
            valueSerializer = fastJsonRedisSerializer
            hashValueSerializer = fastJsonRedisSerializer
            connectionFactory = factory
        }
    }

    @Resource
    lateinit var redisConnectionFactory: RedisConnectionFactory

    override fun cacheManager(): CacheManager {
        return RedisCacheManager.create(redisConnectionFactory)
    }
}

# 自定义redis中数据的序列化与反序列化 new FastJsonRedisSerializer

package com.futao.springmvcdemo.foundation.configuration

import com.alibaba.fastjson.JSON
import com.alibaba.fastjson.serializer.SerializerFeature
import com.futao.springmvcdemo.model.system.SystemConfig
import org.springframework.data.redis.serializer.RedisSerializer
import java.nio.charset.Charset

/**
 *  自定义redis中数据的序列化与反序列化
 *
 * @author futao
 * Created on 2018/10/17.
 */
class FastJsonRedisSerializer(java: Class) : RedisSerializer {

    private val clazz: Class? = null

    /**
     * Serialize the given object to binary data.
     *
     * @param t object to serialize. Can be null.
     * @return the equivalent binary data. Can be null.
     */
    override fun serialize(t: T?): ByteArray? {
        return if (t == null) {
            null
        } else {
            JSON.toJSONString(t, SerializerFeature.WriteClassName).toByteArray(Charset.forName(SystemConfig.UTF8_ENCODE))
        }
    }

    /**
     * Deserialize an object from the given binary data.
     *
     * @param bytes object binary representation. Can be null.
     * @return the equivalent object instance. Can be null.
     */
    override fun deserialize(bytes: ByteArray?): T? {
        return if (bytes == null || bytes.isEmpty()) {
            null
        } else {
            val string = String(bytes, Charset.forName(SystemConfig.UTF8_ENCODE))
            JSON.parseObject(string, clazz) as T
        }
    }
}

# 启动类

package com.futao.springmvcdemo;

import com.alibaba.fastjson.parser.ParserConfig;
import org.mybatis.spring.annotation.MapperScan;
import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
import org.springframework.boot.web.servlet.ServletComponentScan;
import org.springframework.cache.annotation.EnableCaching;

/**
 * @author futao
 * ServletComponentScan 开启servlet和filter
 */
@SpringBootApplication
@ServletComponentScan
@MapperScan("com.futao.springmvcdemo.dao")
@EnableCaching
//@EnableAspectJAutoProxy
public class SpringmvcdemoApplication {
    public static void main(String[] args) {
        SpringApplication.run(SpringmvcdemoApplication.class, args);
        /**
         * redis反序列化
         * 开启fastjson反序列化的autoType
         */
        ParserConfig.getGlobalInstance().setAutoTypeSupport(true);
    }
}

# 使用

1. 基于注解的方式

• @Cacheable() redis中的key会根据我们的keyGenerator方法来生成，比如对应下面这个例子，如果曾经以mobile,pageNum,pageSize,orderBy的值执行过list这个方法的话，方法返回的值会存在redis缓存中，下次如果仍然以相同的mobile,pageNum,pageSize,orderBy的值来调用这个方法的话会直接返回缓存中的值

@Service
public class UserServiceImpl implements UserService {
    @Override
    @Cacheable(value = "user")
    public List list(String mobile, int pageNum, int pageSize, String orderBy) {
        PageResultUtils pageResultUtils = new PageResultUtils<>();
        final val sql = pageResultUtils.createCriteria(User.class.getSimpleName())
                                       .orderBy(orderBy)
                                       .page(pageNum, pageSize)
                                       .getSql();
        return userDao.list(sql);
    }
}

• 测试

• 第一次请求(可以看到执行了sql，数据是从数据库中读取的)

  
  
  第一次请求

• 通过redis desktop manager查看redis缓存中已经存储了我们刚才list返回的值

  
  
  image.png
• 后续请求(未执行sql，直接读取的是redis中的值)
  
  后续请求

2. 通过java代码手动set与get

package com.futao.springmvcdemo.controller

import com.futao.springmvcdemo.model.entity.User
import org.springframework.data.redis.core.RedisTemplate
import org.springframework.http.MediaType
import org.springframework.web.bind.annotation.GetMapping
import org.springframework.web.bind.annotation.RequestMapping
import org.springframework.web.bind.annotation.RequestParam
import org.springframework.web.bind.annotation.RestController
import javax.annotation.Resource

/**
 * @author futao
 * Created on 2018/10/17.
 */
@RestController
@RequestMapping(path = ["kotlinTest"], produces = [MediaType.APPLICATION_JSON_UTF8_VALUE])
open class KotlinTestController {

    @Resource
    private lateinit var redisTemplate: RedisTemplate

    /**
     * 存入缓存
     */
    @GetMapping(path = ["setCache"])
    open fun cache(
            @RequestParam("name") name: String,
            @RequestParam("age") age: Int
    ): User {
        val user = User().apply {
            username = name
            setAge(age.toString())
        }
        redisTemplate.opsForValue().set(name, user)
        return user
    }


    /**
     * 获取缓存
     */
    @GetMapping(path = ["getCache"])
    open fun getCache(
            @RequestParam("name") name: String
    ): User? {
        return if (redisTemplate.opsForValue().get(name) != null) {
            redisTemplate.opsForValue().get(name) as User
        } else null
    }
}

• 测试结果

• 请求（序列化）

  
  
  image.png

• redis desktop manager中查看

  
  
  查看

• 读取（反序列化）

  
  
  读取

# 坑

• 使用注解的方式存入的数据使用redis desktop manager或者redis-cli --raw查看显示的是编码之后的，但是使用java代码手动set并不会出现这样的问题（后期需要检查使用注解的方式是不是走了自定义的序列化）

# TODO

• redis数据的持久化

我在这里等你:

image.png