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