知识点：
ProtoStuff 是将结构数据转为字节流进行序列化的，优点是占用空间小，速度快，缺点是可读性差。
ProtoStuff 是基于 ProtoBuf 发展而来的。
本文不讲那么多背景，直接上代码：
import io.protostuff.LinkedBuffer;
import io.protostuff.ProtostuffIOUtil;
import io.protostuff.Schema;
import io.protostuff.runtime.RuntimeSchema;
import org.springframework.data.redis.serializer.RedisSerializer;
import org.springframework.data.redis.serializer.SerializationException;
public class ProtostuffRedisSerializer implements RedisSerializer
private static final Schema
@Override
public byte[] serialize(Object o) throws SerializationException {
LinkedBuffer buffer = LinkedBuffer.allocate(LinkedBuffer.DEFAULT_BUFFER_SIZE);
byte[] bytes;
try {
bytes = ProtostuffIOUtil.toByteArray(new ObjectWrapper(o), SCHEMA, buffer);
} finally {
buffer.clear();
}
return bytes;
}
@Override
public Object deserialize(byte[] bytes) {
if (bytes == null || bytes.length == 0) {
return null;
}
ObjectWrapper wrapper = new ObjectWrapper();
ProtostuffIOUtil.mergeFrom(bytes, wrapper, SCHEMA);
return wrapper.getObject();
}
@Override
public boolean canSerialize(Class type) {
return false;
}
@Override
public Class getTargetType() {
return null;
}
public static class ObjectWrapper {
private Object object;
public ObjectWrapper() {
}
public ObjectWrapper(Object object) {
this.object = object;
}
public Object getObject() {
return object;
}
public void setObject(Object object) {
this.object = object;
}
}
}
在RedisTemplate上使用：
private static final String PROTOSTUFF_REDIS_TEMPLATE = "protostuffRedisTemplate";
@Bean(name = PROTOSTUFF_REDIS_TEMPLATE)
public RedisTemplate
RedisTemplate
template.setConnectionFactory(factory);
RedisSerializer
template.setKeySerializer(redisSerializer);
template.setHashKeySerializer(redisSerializer);
ProtostuffRedisSerializer protostuffRedisSerializer = new ProtostuffRedisSerializer();
template.setValueSerializer(protostuffRedisSerializer);
template.setHashValueSerializer(protostuffRedisSerializer);
template.afterPropertiesSet();
return template;
}
参考：
java序列化/反序列化之xstream、protobuf、protostuff 的比较与使用例子
Protobuf vs. Protostuff：性能、易用性和适用场景分析