以前使用 protobuf或protostuff的时候觉得很麻烦,每个类都要单独定制,于是封装了一个类。
同事测试过,性能和压缩率都很好,尤其是相比json的序列化。
需注意:只支持Pojo类(即需要有get/set方法)、对一个新的class第一次调用初始化会有一两百毫秒的register时间,之后就很快了。
import io.protostuff.LinkedBuffer; import io.protostuff.ProtostuffIOUtil; import io.protostuff.Schema; import io.protostuff.runtime.RuntimeSchema; import java.io.Serializable; import java.util.Map; import java.util.concurrent.ConcurrentHashMap; /** * Protostuff serializer tool, for POJO serialization. * Protostuff is much more efficient than json, even faster than Protobuf and Avro, but the serialized string is human-unreadable. * Not support Array or Generic-type, please wrap these special objects via a POJO with empty constructors. * * @author lhfcws * @since 2016-03-16 */ public class ProtostuffSerializer implements Serializable { static Map<Class, Schema> schemaCache = new ConcurrentHashMap<>(); /** * common protostuff serialize, object need a empty constructor * Be careful to convert result byte[] to String, use new String(bytes, StandardCharsets.UTF_16LE). * * @param obj * @param <T> * @return */ public static <T> byte[] serializeObject(T obj) { Class<T> klass = (Class<T>) obj.getClass(); LinkedBuffer buffer = LinkedBuffer.allocate(4096);
try { if (schemaCache.containsKey(klass)) { return ProtostuffIOUtil.toByteArray(obj, schemaCache.get(klass), buffer); } else { schemaCache.put(klass, RuntimeSchema.getSchema(klass)); return ProtostuffIOUtil.toByteArray(obj, schemaCache.get(klass), buffer); }
} finally {
buffer.clear();
} } /** * common protostuff unserialize * * @param bs * @param klass * @param <T> * @return */ public static <T> T deserialize(byte[] bs, Class<T> klass) { if (schemaCache.containsKey(klass)) { Schema<T> schema = schemaCache.get(klass); T msg = schema.newMessage(); ProtostuffIOUtil.mergeFrom(bs, msg, schema); return msg; } else { Schema<T> schema = RuntimeSchema.getSchema(klass); T msg = schema.newMessage(); schemaCache.put(klass, schema); ProtostuffIOUtil.mergeFrom(bs, msg, schema); return msg; } } }
使用demo:
// 如果是Pojo类直接调用就行了,非Pojo类参考如下:(假设已有一个StrParams model类) public static class StrParamsPojo { private StrParams p; public StrParamsPojo() { } public StrParamsPojo(StrParams p) { this.p = p; } public StrParams getP() { return p; } public void setP(StrParams p) { this.p = p; } } public void serialize() throws IOException { StrParams p = new StrParams(); StrParamsPojo pojo = new StrParamsPojo(p); byte[] bs = ProtostuffSerializer.serializeObject(pojo); } public void deserialize(byte[] bs) throws IOException { StrParamsPojo pojo = ProtostuffSerializer.deserialize(bs, StrParamsPojo.class); StrParams p = pojo.getP(); }
附送一个FastJsonSerializer:
import com.alibaba.fastjson.JSON; import com.alibaba.fastjson.serializer.SerializerFeature; import java.lang.reflect.Type; /** * FastJson is faster than Gson. * But DO remember your objects has get/set for the fields you want to serialze. * @author lhfcws */ public class FastJsonSerializer { /** * 把给定的对象序列化成json字符串 * @param obj 给定的对象 * @return 对象序列化后的json字符串 */ public static <T> String serialize(T obj) { return JSON.toJSONString(obj, SerializerFeature.IgnoreNonFieldGetter, SerializerFeature.SkipTransientField, SerializerFeature.DisableCircularReferenceDetect, SerializerFeature.BrowserCompatible ); } public static <T> String serializePretty(T obj) { return JSON.toJSONString(obj, SerializerFeature.IgnoreNonFieldGetter, SerializerFeature.SkipTransientField, SerializerFeature.DisableCircularReferenceDetect, SerializerFeature.BrowserCompatible, SerializerFeature.PrettyFormat ); } /** * 根据类名把json字符串反序列化成实体类对象 * @param json 待反序列化的json字符串 * @param klass 反序列化的实体类 * @return 反序列化后的对象 */ public static <T> T deserialize(String json, Class<T> klass) { return JSON.parseObject(json, klass); } /** * 把Json字符串反序列化成实现了Type接口的实体类对象 * @param json 待反序列化的json字符串 * @param type 泛型类型 * @return 反序列化后的对象 */ public static <T> T deserialize(String json, Type type) { return JSON.parseObject(json, type); } }