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Redis密码在springboot中自定义加解密实践

作者:MartinYangHJ

文章介绍了在Spring Boot项目中自定义配置Redis密码的加解密方法,通过在`application.yml`文件中配置信息,并在`RedisConfig`类中实现加解密逻辑

Redis密码在springboot自定义加解密

1.application.yml文件配置信息

spring:
  # redis 配置
  redis:
    # 地址
    host: 192.168.1.xxx
    # 端口,默认为6379
    port: 6379
    # 数据库索引
    database: 0
    # 密码,DES加密后,有key值,此处只作为例子
    password: 1E903BC217660491
    # 连接超时时间
    timeout: 10s
    lettuce:
      pool:
        # 连接池中的最小空闲连接
        min-idle: 0
        # 连接池中的最大空闲连接
        max-idle: 8
        # 连接池的最大数据库连接数
        max-active: 8
        # #连接池最大阻塞等待时间(使用负值表示没有限制)
        max-wait: -1ms

2.RedisConfig中代码

package com.framework.config;

import com.common.utils.sign.DESUtil;
import org.springframework.cache.annotation.CachingConfigurerSupport;
import org.springframework.cache.annotation.EnableCaching;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.core.env.Environment;
import org.springframework.data.redis.connection.RedisConnectionFactory;
import org.springframework.data.redis.connection.RedisStandaloneConfiguration;
import org.springframework.data.redis.connection.lettuce.LettuceConnectionFactory;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.core.script.DefaultRedisScript;
import org.springframework.data.redis.serializer.StringRedisSerializer;
import com.fasterxml.jackson.annotation.JsonAutoDetect;
import com.fasterxml.jackson.annotation.JsonTypeInfo;
import com.fasterxml.jackson.annotation.PropertyAccessor;
import com.fasterxml.jackson.databind.ObjectMapper;
import com.fasterxml.jackson.databind.jsontype.impl.LaissezFaireSubTypeValidator;

/**
 * redis配置
 * 
 * @author elane
 */
@Configuration
@EnableCaching
public class RedisConfig extends CachingConfigurerSupport
{
    private final Environment environment;
    public RedisConfig(Environment environment){
        this.environment=environment;
    }

    @Bean
    public RedisConnectionFactory myLettuceConnectionFactory(){
        RedisStandaloneConfiguration redisStandaloneConfiguration = new RedisStandaloneConfiguration(environment.getProperty("spring.redis.host"),Integer.parseInt(environment.getProperty("spring.redis.port")));
        redisStandaloneConfiguration.setDatabase(Integer.parseInt(environment.getProperty("spring.redis.database")));
        //获取application.yml 中的密码(密文)
        String password = environment.getProperty("spring.redis.password");
        //解密密码并停驾到配置中
        String pwd=DESUtil.encrypt("111111");//此处用于生成加密后的密码,配置在配置文件中
        redisStandaloneConfiguration.setPassword(DESUtil.decrypt(password));
        return new LettuceConnectionFactory(redisStandaloneConfiguration);
    }

    @Bean
    @SuppressWarnings(value = { "unchecked", "rawtypes" })
    public RedisTemplate<Object, Object> redisTemplate(RedisConnectionFactory connectionFactory)
    {
        //connectionFactory获取到的密码就是解密后的密码
        RedisTemplate<Object, Object> template = new RedisTemplate<>();
        template.setConnectionFactory(connectionFactory);

        FastJson2JsonRedisSerializer serializer = new FastJson2JsonRedisSerializer(Object.class);

        ObjectMapper mapper = new ObjectMapper();
        mapper.setVisibility(PropertyAccessor.ALL, JsonAutoDetect.Visibility.ANY);
        mapper.activateDefaultTyping(LaissezFaireSubTypeValidator.instance, ObjectMapper.DefaultTyping.NON_FINAL, JsonTypeInfo.As.PROPERTY);
        serializer.setObjectMapper(mapper);

        // 使用StringRedisSerializer来序列化和反序列化redis的key值
        template.setKeySerializer(new StringRedisSerializer());
        template.setValueSerializer(serializer);

        // Hash的key也采用StringRedisSerializer的序列化方式
        template.setHashKeySerializer(new StringRedisSerializer());
        template.setHashValueSerializer(serializer);

        template.afterPropertiesSet();
        return template;
    }

    @Bean
    public DefaultRedisScript<Long> limitScript()
    {
        DefaultRedisScript<Long> redisScript = new DefaultRedisScript<>();
        redisScript.setScriptText(limitScriptText());
        redisScript.setResultType(Long.class);
        return redisScript;
    }

    /**
     * 限流脚本
     */
    private String limitScriptText()
    {
        return "local key = KEYS[1]\n" +
                "local count = tonumber(ARGV[1])\n" +
                "local time = tonumber(ARGV[2])\n" +
                "local current = redis.call('get', key);\n" +
                "if current and tonumber(current) > count then\n" +
                "    return tonumber(current);\n" +
                "end\n" +
                "current = redis.call('incr', key)\n" +
                "if tonumber(current) == 1 then\n" +
                "    redis.call('expire', key, time)\n" +
                "end\n" +
                "return tonumber(current);";
    }
}

总结

以上为个人经验,希望能给大家一个参考,也希望大家多多支持脚本之家。

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