spring-data-redis --简单的用spring-data-redis

spring-data-redis序列化策略

spring-data-redis提供了多种serializer策略，这对使用jedis的开发者而言，实在是非常便捷。sdr提供了4种内置的serializer：

• JdkSerializationRedisSerializer：使用JDK的序列化手段(serializable接口，ObjectInputStrean，ObjectOutputStream)，数据以字节流存储，jdk序列化和反序列化数据

• StringRedisSerializer：字符串编码，数据以string存储
• JacksonJsonRedisSerializer：json格式存储
• OxmSerializer：xml格式存储

其中JdkSerializationRedisSerializer和StringRedisSerializer是最基础的序列化策略，其中“JacksonJsonRedisSerializer”与“OxmSerializer”都是基于stirng存储，因此它们是较为“高级”的序列化(最终还是使用string解析以及构建java对象)。

RedisTemplate中需要声明4种serializer，默认为“JdkSerializationRedisSerializer”：

1) keySerializer ：对于普通K-V操作时，key采取的序列化策略
2) valueSerializer：value采取的序列化策略
3) hashKeySerializer： 在hash数据结构中，hash-key的序列化策略
4) hashValueSerializer：hash-value的序列化策略

无论如何，建议key/hashKey采用StringRedisSerializer。 这redis服务端用命令行好查看 配置如下

1、maven配置

	<properties>
		<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
		<spring.version>4.1.1.RELEASE</spring.version>
	</properties>
	<dependencies>
		<dependency>
			<groupId>org.springframework</groupId>
			<artifactId>spring-context-support</artifactId>
			<version>${spring.version}</version>
		</dependency>
		<dependency>
			<groupId>org.springframework.data</groupId>
			<artifactId>spring-data-redis</artifactId>
			<version>1.4.1.RELEASE</version>
		</dependency>
		<dependency>
			<groupId>redis.clients</groupId>
			<artifactId>jedis</artifactId>
			<version>2.6.0</version>
			<type>jar</type>
			<scope>compile</scope>
		</dependency>
		<dependency>
			<groupId>junit</groupId>
			<artifactId>junit</artifactId>
			<version>4.11</version>
			<scope>test</scope>
		</dependency>
	</dependencies>

2、spring xml配置文件

配置jedis的缓冲池

	<!-- 配置Jedis的 缓冲池 -->
	<bean id="jedisPoolConfig" class="redis.clients.jedis.JedisPoolConfig" p:maxTotal="32" p:maxIdle="6"
		p:maxWaitMillis="15000">
	</bean>

配置ConnectionFactory

<!-- 配置Jedis connection -->
	<bean id="connectionFactory" class="org.springframework.data.redis.connection.jedis.JedisConnectionFactory"
		p:poolConfig-ref="jedisPoolConfig" p:hostName="127.0.0.1" p:port="6379" p:usePool="true">
	</bean>

创建RedisTemplate

<!-- 配置 redisTemplate 利用Stringserializer -->
	<bean id="redisTemplate" class="org.springframework.data.redis.core.RedisTemplate" p:connectionFactory-ref="connectionFactory">
		<property name="defaultSerializer">
			<bean class="org.springframework.data.redis.serializer.StringRedisSerializer" />
		</property>
		<!-- 使用string主要是key 在redis端用命令好读 不然默认的序列化没办法读 -->
		<property name="keySerializer">
			<bean class="org.springframework.data.redis.serializer.StringRedisSerializer" />
		</property>
		<property name="hashKeySerializer">
			<bean class="org.springframework.data.redis.serializer.StringRedisSerializer" />
		</property>
	</bean>

 3、案例

private static ApplicationContext context = null;
	private static RedisTemplate redisTemplate=null;
	@org.junit.BeforeClass
	public static void BeforeClass() {
		if (context == null) {
			System.out.println("ctx inited....");
			context = new ClassPathXmlApplicationContext("spring-context.xml");
			redisTemplate = context.getBean("redisTemplate",RedisTemplate.class);
		}
	}

1.String

	@Test
	public void testString(){
		ValueOperations opsForValue = redisTemplate.opsForValue();

		opsForValue.set("string:name", "achuan");
		opsForValue.set("string:id","1");

		Object name = opsForValue.get("string:name");
		assertNotNull(name);
		assertEquals("achuan", name.toString());
	}

2.List

说到List  Redis 提供了类似于消息队列的操作，

        @Test
	public void testList() {
		ListOperations opsForList = redisTemplate.opsForList();

		String keyName = "ListKey";

		redisTemplate.delete(keyName);

		opsForList.leftPush(keyName, "zhangsan");
		opsForList.leftPush(keyName, "lisi");
		opsForList.leftPushAll(keyName, "wangwu", "zhaoliu", "qianqi");

		Long size = opsForList.size(keyName);
		System.out.println("size:" + size);

		for (long i = 0; i < size; i++) {
			Object value = opsForList.index(keyName,i);
			System.out.println("i:"+i+",value:"+value.toString());
		}

		Object leftPop = opsForList.leftPop(keyName);
		System.out.println("after pop size:"+opsForList.size(keyName));
	}

3 Hashes （SETS 自己看看吧。。)

今天就先到这里，Redis 还有很多东西，比如cache transcation 等等 看下目录结构