自己搭的一個分散式系統，使用的是springboot2.0.3+springcloud Finchley
當時在user服務中存入一個值，然後在api服務中使用相同的key取的時候發現取不出來，然後各種排除：

• 1 檢查api服務和user服務中的redis連線的機器是否一致（一致）

• 2 分別寫兩個測試方法，斷點跟進發現存入的時候沒有問題，取得時候發現沒有值，此時利用IntelliJ IDEA工具查詢兩個服務中的所有的key發現一個有，另外一個沒有，推測應該是存入的key發生了變化。

  通過視覺化工具發現存入的key前面都有一串字串，查了一下預設配置的時候是JdkSerializationRedisSerializer

  進行序列化資料，加上去的。它不僅僅會在value或hashvalue上加，也會在key和hashkey上加，所以取不到。

解決方式：設定RedisSerializer

方式一：

RedisConfig：

package com.fch.user.config.redisConfid;

import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.context.annotation.Configuration;
import org.springframework
 
.data.redis.core.RedisTemplate;
import org.springframework.data.redis.serializer.RedisSerializer;

@Configuration
public class RedisConfig {

    private RedisTemplate redisTemplate;

    @Autowired(required = false)
    public void setRedisTemplate(RedisTemplate redisTemplate) {
        RedisSerializer stringSerializer = new StringRedisSerializerUtil();
 

        redisTemplate.setKeySerializer(stringSerializer);
        redisTemplate.setValueSerializer(stringSerializer);
        redisTemplate.setHashKeySerializer(stringSerializer);
        redisTemplate.setHashValueSerializer(stringSerializer);
        this.redisTemplate = redisTemplate;
    }
}

StringRedisSerializerUtil

package com.fch.user.config.redisConfid;

import com.alibaba.fastjson.JSON;
import org.springframework.data.redis.serializer.RedisSerializer;
import org.springframework.data.redis.serializer.SerializationException;
import org.springframework.data.redis.serializer.StringRedisSerializer;
import org.springframework.util.Assert;

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

/**
 * 因為預設使用JdkSerializationRedisSerializer進行資料序列化 (包括key和value)
 */
public class StringRedisSerializerUtil implements RedisSerializer<Object> {

    private final Charset charset;

    private final String target = "\"";

    private final String replacement = "";

    /**
     * {@link StringRedisSerializer} to use 7 bit ASCII, a.k.a. ISO646-US, a.k.a. the Basic Latin block of the Unicode
     * character set.
     *
     * @see StandardCharsets#US_ASCII
     * @since 2.1
     */
    public static final StringRedisSerializer US_ASCII = new StringRedisSerializer(StandardCharsets.US_ASCII);

    /**
     * {@link StringRedisSerializer} to use ISO Latin Alphabet No. 1, a.k.a. ISO-LATIN-1.
     *
     * @see StandardCharsets#ISO_8859_1
     * @since 2.1
     */
    public static final StringRedisSerializer ISO_8859_1 = new StringRedisSerializer(StandardCharsets.ISO_8859_1);

    /**
     * {@link StringRedisSerializer} to use 8 bit UCS Transformation Format.
     *
     * @see StandardCharsets#UTF_8
     * @since 2.1
     */
    public static final StringRedisSerializer UTF_8 = new StringRedisSerializer(StandardCharsets.UTF_8);

    /**
     * Creates a new {@link StringRedisSerializer} using {@link StandardCharsets#UTF_8 UTF-8}.
     */
    public StringRedisSerializerUtil() {
        this(StandardCharsets.UTF_8);
    }

    /**
     * Creates a new {@link StringRedisSerializer} using the given {@link Charset} to encode and decode strings.
     *
     * @param charset must not be {@literal null}.
     */
    public StringRedisSerializerUtil(Charset charset) {

        Assert.notNull(charset, "Charset must not be null!");
        this.charset = charset;
    }

    @Override
    public byte[] serialize(Object o) throws SerializationException {
        String string = JSON.toJSONString(o);
        if (string == null) {
            return null;
        }
        string = string.replace(target, replacement);
        return string.getBytes(charset);
    }

    /*
     * (non-Javadoc)
     * @see org.springframework.data.redis.serializer.RedisSerializer#deserialize(byte[])
     */
    @Override
    public String deserialize( byte[] bytes) {
        return (bytes == null ? null : new String(bytes, charset));
    }
}

這種配置之後就可以正常了

方式二

因為發現方法名都比較怪，直接封裝一下，實際上也是配置了序列化方式

RedisServiceImpl

package com.fch.user.service.impl;

import lombok.extern.slf4j.Slf4j;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.redis.core.*;
import org.springframework.data.redis.serializer.RedisSerializer;
import org.springframework.data.redis.serializer.StringRedisSerializer;
import org.springframework.stereotype.Service;

import java.io.Serializable;
import java.util.List;
import java.util.Set;
import java.util.concurrent.TimeUnit;

/**
 * Created with IntelliJ IDEA.
 * Date: 2018/7/25
 * Time: 下午2:41
 * Description: No Description
 */

@Slf4j
@Service
@SuppressWarnings({"unchecked","rawtypes"})
public class RedisServiceImpl {

    /*@Autowired*/
    private RedisTemplate redisTemplate;

    /**
     * 寫入快取
    * @Title：set
    * @Description：TODO
    * @param ：@param key
    * @param ：@param value
    * @param ：@return
    * @return ：boolean
    * @throws
     */
    public boolean set(final String key,Object value) {
        boolean result = false;
        try {
            ValueOperations<Serializable,Object> operations = redisTemplate.opsForValue();
            operations.set(key, value);
            result = true;
        } catch (Exception e) {
            log.error("==>>寫入快取出錯" + e.getMessage());
        }
        return result;
    }

    /**
     * 寫入快取設定過期時間
    * @Title：set
    * @Description：TODO
    * @param ：@param key
    * @param ：@param value
    * @param ：@param expireTime
    * @param ：@return
    * @return ：boolean
    * @throws
     */
    public boolean set(final String key, Object value, Long expireTime) {
        log.info("--------------寫入快取設定過期時間---------------");
        boolean result = false;
        try {
            ValueOperations<Serializable, Object> operations = redisTemplate.opsForValue();
            operations.set(key, value);
            redisTemplate.expire(key, expireTime, TimeUnit.SECONDS);
            result = true;
        } catch (Exception e) {
            log.error("==>>寫入快取出錯並設定過期時間" + e.getMessage());
        }
        return result;
    }

    /**
     * 批量刪除對應的value
     * @param keys
     */
    public void remove(final String... keys) {
        for (String key : keys) {
            remove(key);
        }
    }

    /**
     * 批量刪除key
     * @param pattern
     */
    public void removePattern(final String pattern) {
        Set<Serializable> keys = redisTemplate.keys(pattern);
        if (keys.size() > 0)
            redisTemplate.delete(keys);
    }

    /**
     * 刪除對應的value
     * @param key
     */
    public void remove(final String key) {
        if (exists(key)) {
            redisTemplate.delete(key);
        }
    }

    /**
     * 判斷快取中是否有對應的value
     * @param key
     * @return
     */
    public boolean exists(final String key) {
        return redisTemplate.hasKey(key);
    }

    /**
     * 讀取快取
     * @param key
     * @return
     */
    public Object get(final String key) {
        Object result = null;
        ValueOperations<Serializable, Object> operations = redisTemplate.opsForValue();
        result = operations.get(key);
        return result;
    }

    /**
     * 雜湊 新增
     * @param key
     * @param hashKey
     * @param value
     */
    public void hmSet(String key, Object hashKey, Object value){
        HashOperations<String, Object, Object> hash = redisTemplate.opsForHash();
        hash.put(key,hashKey,value);
    }

    /**
     * 雜湊獲取資料
     * @param key
     * @param hashKey
     * @return
     */
    public Object hmGet(String key, Object hashKey){
        HashOperations<String, Object, Object>  hash = redisTemplate.opsForHash();
        return hash.get(key,hashKey);
    }

    /**
     * 列表新增
     * @param k
     * @param v
     */
    public void lPush(String k,Object v){
        ListOperations<String, Object> list = redisTemplate.opsForList();
        list.rightPush(k,v);
    }

    /**
     * 列表獲取
     * @param k
     * @param l
     * @param l1
     * @return
     */
    public List<Object> lRange(String k, long l, long l1){
        ListOperations<String, Object> list = redisTemplate.opsForList();
        return list.range(k,l,l1);
    }

    /**
     * 集合新增
     * @param key
     * @param value
     */
    public void add(String key,Object value){
        SetOperations<String, Object> set = redisTemplate.opsForSet();
        set.add(key,value);
    }

    /**
     * 集合獲取
     * @param key
     * @return
     */
    public Set<Object> setMembers(String key){
        SetOperations<String, Object> set = redisTemplate.opsForSet();
        return set.members(key);
    }

    /**
     * 有序集合新增
     * @param key
     * @param value
     * @param scoure
     */
    public void zAdd(String key,Object value,double scoure){
        ZSetOperations<String, Object> zset = redisTemplate.opsForZSet();
        zset.add(key,value,scoure);
    }

    /**
     * 有序集合獲取
     * @param key
     * @param scoure
     * @param scoure1
     * @return
     */
    public Set<Object> rangeByScore(String key,double scoure,double scoure1){
        ZSetOperations<String, Object> zset = redisTemplate.opsForZSet();
        return zset.rangeByScore(key, scoure, scoure1);
    }


    @Autowired(required = false)
    public void setRedisTemplate(RedisTemplate redisTemplate) {
        RedisSerializer stringSerializer = new StringRedisSerializer();
        redisTemplate.setKeySerializer(stringSerializer);
        redisTemplate.setValueSerializer(stringSerializer);
        redisTemplate.setHashKeySerializer(stringSerializer);
        redisTemplate.setHashValueSerializer(stringSerializer);
        this.redisTemplate = redisTemplate;
    }
}

2018-09-07