Redis+protostuff 实现对象序列化保存，反序列化获取

很多情况我们为了解决并发问题使用redis非关系型数据库保存数据，我们序列化保存方便数据的传输 可以随时把对象持久化到数据库、文件等系统里，也方我们反序列化获取对象，下面我就开始整理吧

1.利用maven管理项目，导入相关jar包

<!--redis客户端--> < dependency > < groupId > redis.clients </ groupId > < artifactId > jedis </ artifactId > < version > 2.9.0 </ version > </ dependency > <!--序列化插件--> < dependency > < groupId > com.dyuproject.protostuff </ groupId > < artifactId > protostuff-core </ artifactId > < version > 1.1.1 </ version > </ dependency > < dependency > < groupId > com.dyuproject.protostuff </ groupId > < artifactId > protostuff-runtime </ artifactId > < version > 1.1.1 </ version > </ dependency >

2.编写protostuff工具类，实现对象序列化和反序列化

package hxf.utils; import com.dyuproject.protostuff.LinkedBuffer; import com.dyuproject.protostuff.ProtobufIOUtil; import com.dyuproject.protostuff.ProtostuffIOUtil; import com.dyuproject.protostuff.Schema; import com.dyuproject.protostuff.runtime.RuntimeSchema; /** * 序列化工具类 */ public class ProtostuffUtil { public ProtostuffUtil() { } /** * 对象序列化 * @param o 需要序列化对象 * @param <T> 序列化对象类型 * @return */ public static < T > byte [] serializer( T o) { Schema schema = RuntimeSchema. getSchema (o.getClass()); //通过对象的类构建对应的schema return ProtobufIOUtil. toByteArray (o, schema, LinkedBuffer. allocate (LinkedBuffer. DEFAULT_BUFFER_SIZE )); //保存数据 } /** * 对象反序列化 * @param bytes 对象字节数组 * @param clazz Class对象 * @param <T> 反序列化对象 * @return */ public static < T > T deserializer( byte [] bytes, Class< T > clazz) { T obj = null ; try { Schema schema = RuntimeSchema. getSchema (clazz); //通过对象的类构建对应的schema； obj = ( T ) schema.newMessage(); //通过schema新建一个对象，这里需要转换一下 ProtostuffIOUtil. mergeFrom (bytes, obj, schema); //数据反序列化 } catch (Exception e) { e.printStackTrace(); } return obj; } }

3.redis 操作方法

package hxf.redis.dao.impl; import hxf.entity.Seckill; import hxf.redis.dao.RedisDataSource; import hxf.utils.ProtostuffUtil; import org.slf4j.Logger; import org.slf4j.LoggerFactory; import org.springframework.beans.factory.annotation. Autowired ; import org.springframework.stereotype. Repository ; import redis.clients.jedis.ShardedJedis; @Repository public class RedisClientTemplate { private Logger logger = LoggerFactory. getLogger ( this .getClass()); @Autowired private RedisDataSource redisDataSource ; public void disconnect() { ShardedJedis shardedJedis = redisDataSource .getRedisClient(); shardedJedis.disconnect(); } private static final Logger log = LoggerFactory. getLogger (RedisClientTemplate. class ); /** * 添加一个对象 * @param id 主键id * @param o 对象数据 * @param <T> 对象泛型 * @return 成功返回true，否则返回false */ public < T > boolean setObj(String id, T o) { boolean result = false ; ShardedJedis shardedJedis = redisDataSource .getRedisClient(); if (shardedJedis == null ) { return result; } try { String result1 = shardedJedis.set(id.getBytes(), ProtostuffUtil. serializer (o)); logger .info( "添加结果：" +result1); if (result1.equals( "ok" )){ result = true ; } } catch (Exception e) { log .error(e.getMessage(), e); } finally { redisDataSource .close(shardedJedis,!result); } return result; } public < T > T getObj(String id, Class< T > clazz) { T result = null ; ShardedJedis shardedJedis = redisDataSource .getRedisClient(); if (shardedJedis == null ) { return result; } try { byte [] bytes = shardedJedis.get(id.getBytes()); if (bytes != null ){ result = ProtostuffUtil. deserializer (bytes,clazz); } logger .info(bytes.toString()); } catch (Exception e) { log .error(e.getMessage(), e); } finally { redisDataSource .close(shardedJedis); } return result; }}

5.测试

package hxf.redis.dao.impl; import hxf.entity.Seckill; import junit.framework.TestCase; import org.junit. Test ; import org.springframework.beans.factory.annotation. Autowired ; import org.junit.runner. RunWith ; import org.springframework.test.context. ContextConfiguration ; import org.springframework.test.context.junit4.SpringJUnit4ClassRunner; @RunWith (SpringJUnit4ClassRunner. class ) //配置Spring文件 @ContextConfiguration ({ "classpath:spring/spring-redis.xml" }) public class RedisClientTemplateTest extends TestCase { @Autowired private RedisClientTemplate redisClientTemplate ; @Test public void test() throws Exception { Seckill seckill = new Seckill(); seckill.setSeckillId( 1002 ); seckill.setName( "100元秒杀苹果8" ); seckill.setNumber( 20 ); redisClientTemplate .setObj(seckill.getSeckillId()+ "" ,seckill); } @Test public void testGet() throws Exception { System. out .println( redisClientTemplate .getObj( "1002" ,Seckill. class )); } }

总结：这个方法适合存储对象，因为重点是redis保存数据时序列化与获取数据反序列化，redis的相关配置我没写出来，想在的redis配置的自己看这篇文章 https://www.cnblogs.com/tankaixiong/p/3660075.html

本文参考 http://blog.youkuaiyun.com/zhglance/article/details/56017926