java

Redis使用Fastjson序列化

2021-04-08  本文已影响0人  归来_仍是少年

实测使用Fastjson序列化会快一点

  1. 依赖
<!-- spring data redis 依赖 -->
<dependency>
    <groupId>org.springframework.boot</groupId>
    <artifactId>spring-boot-starter-data-redis</artifactId>
</dependency>
<!-- commons-pool2 对象池依赖 -->
<dependency>
    <groupId>org.apache.commons</groupId>
    <artifactId>commons-pool2</artifactId>
</dependency>
<!-- JSON工具 -->
<dependency>
    <groupId>com.alibaba</groupId>
    <artifactId>fastjson</artifactId>
    <version>1.2.76</version>
</dependency>
  1. 实现RedisSerializer接口
import com.alibaba.fastjson.JSON;
import com.alibaba.fastjson.parser.ParserConfig;
import com.alibaba.fastjson.serializer.SerializerFeature;
import org.springframework.data.redis.serializer.RedisSerializer;
import org.springframework.data.redis.serializer.SerializationException;

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

public class FastJson2JsonRedisSerializer<T> implements RedisSerializer<T> {

    public static final Charset DEFAULT_CHARSET = StandardCharsets.UTF_8;

    static {
        ParserConfig.getGlobalInstance().setAutoTypeSupport(true);
    }

    private final Class<T> clazz;

    public FastJson2JsonRedisSerializer(Class<T> clazz) {
        super();
        this.clazz = clazz;
    }

    /**
     * 序列化
     */
    @Override
    public byte[] serialize(T t) throws SerializationException {
        if (null == t) {
            return new byte[0];
        }
        return JSON.toJSONString(t, SerializerFeature.WriteClassName).getBytes(DEFAULT_CHARSET);
    }

    /**
     * 反序列化
     */
    @Override
    public T deserialize(byte[] bytes) throws SerializationException {
        if (null == bytes || bytes.length <= 0) {
            return null;
        }
        String str = new String(bytes, DEFAULT_CHARSET);
        return (T) JSON.parseObject(str, clazz);
    }
}
  1. 配置redisTemplate
import org.springframework.boot.autoconfigure.AutoConfigureAfter;
import org.springframework.boot.autoconfigure.data.redis.RedisAutoConfiguration;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.data.redis.connection.RedisConnectionFactory;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.serializer.StringRedisSerializer;

@Configuration
@AutoConfigureAfter(RedisAutoConfiguration.class)
public class RedisCacheAutoConfiguration {

    @Bean
    public RedisTemplate<Object, Object> redisTemplate(RedisConnectionFactory factory) {
        RedisTemplate<Object, Object> template = new RedisTemplate<>();
        template.setConnectionFactory(factory);
        FastJson2JsonRedisSerializer<Object> fastJsonRedisSerializer = new FastJson2JsonRedisSerializer<>(Object.class);

        StringRedisSerializer stringRedisSerializer = new StringRedisSerializer();
        // key采用String的序列化方式
        template.setKeySerializer(stringRedisSerializer);
        // hash的key也采用String的序列化方式
        template.setHashKeySerializer(stringRedisSerializer);

        // value序列化方式采用fastJson
        template.setValueSerializer(fastJsonRedisSerializer);
        // hash的value序列化方式采用fastJson
        template.setHashValueSerializer(fastJsonRedisSerializer);

        template.afterPropertiesSet();
        return template;
    }
}

4.redis通用工具

import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.redis.core.*;
import org.springframework.stereotype.Component;

import java.util.*;
import java.util.concurrent.TimeUnit;

/**
 * spring redis 工具类
 **/
@Component
public class RedisUtil {

    @Autowired
    private RedisTemplate<Object, Object> redisTemplate;

    /**
     * 缓存基本的对象,Integer、String、实体类等
     *
     * @param key   缓存的键值
     * @param value 缓存的值
     * @return 缓存的对象
     */
    public ValueOperations<Object, Object> setCacheObject(Object key, Object value) {
        ValueOperations<Object, Object> operation = redisTemplate.opsForValue();
        operation.set(key, value);
        return operation;
    }

    /**
     * 缓存基本的对象,Integer、String、实体类等
     *
     * @param key      缓存的键值
     * @param value    缓存的值
     * @param timeout  时间
     * @param timeUnit 时间颗粒度
     * @return 缓存的对象
     */
    public ValueOperations<Object, Object> setCacheObject(Object key, Object value, Integer timeout, TimeUnit timeUnit) {
        ValueOperations<Object, Object> operation = redisTemplate.opsForValue();
        operation.set(key, value, timeout, timeUnit);
        return operation;
    }

    /**
     * 获得缓存的基本对象。
     *
     * @param key 缓存键值
     * @return 缓存键值对应的数据
     */
    public Object getCacheObject(Object key) {
        ValueOperations<Object, Object> operation = redisTemplate.opsForValue();
        return operation.get(key);
    }

    /**
     * 删除单个对象
     *
     * @param key
     */
    public void deleteObject(Object key) {
        redisTemplate.delete(key);
    }

    /**
     * 删除集合对象
     *
     * @param collection
     */
    public void deleteObject(Collection collection) {
        redisTemplate.delete(collection);
    }

    public Long getExpire(String key) {
        return redisTemplate.getExpire(key);
    }

    public void expire(String key, int expire, TimeUnit timeUnit) {
        redisTemplate.expire(key, expire, timeUnit);
    }

    /**
     * 缓存List数据
     *
     * @param key      缓存的键值
     * @param dataList 待缓存的List数据
     * @return 缓存的对象
     */
    public ListOperations<Object, Object> setCacheList(Object key, List<Object> dataList) {
        ListOperations listOperation = redisTemplate.opsForList();
        if (null != dataList) {
            int size = dataList.size();
            for (Object o : dataList) {
                listOperation.leftPush(key, o);
            }
        }
        return listOperation;
    }

    /**
     * 获得缓存的list对象
     *
     * @param key 缓存的键值
     * @return 缓存键值对应的数据
     */
    public List<Object> getCacheList(String key) {
        List<Object> dataList = new ArrayList<>();
        ListOperations<Object, Object> listOperation = redisTemplate.opsForList();
        Long size = listOperation.size(key);
        if (null != size) {
            for (int i = 0; i < size; i++) {
                dataList.add(listOperation.index(key, i));
            }
        }
        return dataList;
    }

    /**
     * 缓存Set
     *
     * @param key     缓存键值
     * @param dataSet 缓存的数据
     * @return 缓存数据的对象
     */
    public BoundSetOperations<Object, Object> setCacheSet(String key, Set<Object> dataSet) {
        BoundSetOperations<Object, Object> setOperation = redisTemplate.boundSetOps(key);
        for (Object o : dataSet) {
            setOperation.add(o);
        }
        return setOperation;
    }

    /**
     * 获得缓存的set
     *
     * @param key
     * @return
     */
    public Set<Object> getCacheSet(Object key) {
        Set<Object> dataSet = new HashSet<>();
        BoundSetOperations<Object, Object> operation = redisTemplate.boundSetOps(key);
        dataSet = operation.members();
        return dataSet;
    }

    /**
     * 缓存Map
     *
     * @param key
     * @param dataMap
     * @return
     */
    public HashOperations<Object, Object, Object> setCacheMap(Object key, Map<Object, Object> dataMap) {
        HashOperations hashOperations = redisTemplate.opsForHash();
        if (null != dataMap) {
            for (Map.Entry<Object, Object> entry : dataMap.entrySet()) {
                hashOperations.put(key, entry.getKey(), entry.getValue());
            }
        }
        return hashOperations;
    }

    /**
     * 获得缓存的Map
     *
     * @param key
     * @return
     */
    public Map<Object, Object> getCacheMap(Object key) {
        Map<Object, Object> map = redisTemplate.opsForHash().entries(key);
        return map;
    }

    /**
     * 获得缓存的基本对象列表
     *
     * @param pattern 字符串前缀
     * @return 对象列表
     */
    public Collection<Object> keys(String pattern) {
        return redisTemplate.keys(pattern);
    }
}
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