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Spring + Jedis集成Redis(单例redis数据库)

这几天没事,就把之前学习的redis代码整理一遍,废话不多说,上步骤。

1、pom.xml引入资源;

        <dependency>
            <groupId>org.springframework.data</groupId>
            <artifactId>spring-data-redis</artifactId>
            <version>1.7.0.RELEASE</version>
        </dependency>
        <dependency>
            <groupId>redis.clients</groupId>
            <artifactId>jedis</artifactId>
            <version>2.8.0</version>
        </dependency>

2、配置redis的配置文件,这里只配置单点数据库,后面会介绍redis集群的配置,这里就不多说了;

 spring-redis.xml配置:

    <!-- 读取配置文件信息 -->
    <context:property-placeholder ignore-unresolvable="true" location="classpath:*.properties"/>

    <!-- Redis 配置 -->
    <bean id="jedisPoolConfig" class="redis.clients.jedis.JedisPoolConfig">
        <property name="maxTotal" value="${redis.maxActive}" />
        <property name="maxIdle" value="${redis.maxIdle}" />
        <property name="maxWaitMillis" value="${redis.maxWaitMillis}" />
        <property name="testOnBorrow" value="true" />
    </bean>

    <!-- redis单节点数据库连接配置 -->
    <bean id="jedisConnectionFactory" class="org.springframework.data.redis.connection.jedis.JedisConnectionFactory">
        <property name="hostName" value="${redis.host}" />
        <property name="port" value="${redis.port}" />
        <property name="password" value="${redis.password}" />
        <property name="poolConfig" ref="jedisPoolConfig" />
    </bean>

    <!-- redisTemplate配置,redisTemplate是对Jedis的对redis操作的扩展,有更多的操作,封装使操作更便捷 -->
    <bean id="redisTemplate" class="org.springframework.data.redis.core.StringRedisTemplate">
        <property name="connectionFactory" ref="jedisConnectionFactory" />
    </bean>

 redis.properties文件配置:

#redis的服务器地址
redis.host=这里写你的ip
#redis的服务端口
redis.port=6379
#密码
redis.password=这里写你的密码
#链接数据库
redis.default.db=0
#客户端超时时间单位是毫秒
redis.timeout=100000
#最大连接数
redis.maxActive=300
#最大空闲数
redis.maxIdle=100
#最大建立连接等待时间
redis.maxWaitMillis=1000

3、接着,具体实现代码;

 序列化和反序列化工具类:

public class SerializerUtil {

    /**
     * 序列化
     * @param object
     * @return
     */
    public static byte[] serializeObj(Object object) {
        ObjectOutputStream oos = null;
        ByteArrayOutputStream baos = null;
        try {
            baos = new ByteArrayOutputStream();
            oos = new ObjectOutputStream(baos);
            oos.writeObject(object);
            byte[] bytes = baos.toByteArray();
            return bytes;
        } catch (Exception e) {
            throw new RuntimeException("序列化失败!", e);
        }
    }

    /**
     * 反序列化
     * @param bytes
     * @return
     */
    public static Object deserializeObj(byte[] bytes) {
        if (bytes == null){
            return null;
        }
        ByteArrayInputStream bais = null;
        try {
            bais = new ByteArrayInputStream(bytes);
            ObjectInputStream ois = new ObjectInputStream(bais);
            return ois.readObject();
        } catch (Exception e) {
            throw new RuntimeException("反序列化失败!", e);
        }
    }
}

操作实现类,这里只提供了3个实现方法,其他的可以按照自己需求自己实现:

@Component
public class RedisCache {

    @Resource
    private RedisTemplate<String, String> redisTemplate;

    /**
     * 添加缓存数据
     * @param key
     * @param obj
     * @param <T>
     * @return
     * @throws Exception
     */
    public <T> boolean putCache(String key, T obj) throws Exception {
        final byte[] bkey = key.getBytes();
        final byte[] bvalue = SerializerUtil.serializeObj(obj);
        boolean result = redisTemplate.execute(new RedisCallback<Boolean>() {
            @Override
            public Boolean doInRedis(RedisConnection connection) throws DataAccessException {
                return connection.setNX(bkey, bvalue);
            }
        });
        return result;
    }

    /**
     * 添加缓存数据,设定缓存失效时间
     * @param key
     * @param obj
     * @param expireTime
     * @param <T>
     * @throws Exception
     */
    public <T> void putCacheWithExpireTime(String key, T obj, final long expireTime) throws Exception {
        final byte[] bkey = key.getBytes();
        final byte[] bvalue = SerializerUtil.serializeObj(obj);
        redisTemplate.execute(new RedisCallback<Boolean>() {
            @Override
            public Boolean doInRedis(RedisConnection connection) throws DataAccessException {
                connection.setEx(bkey, expireTime, bvalue);
                return true;
            }
        });
    }

    /**
     * 根据key取缓存数据
     * @param key
     * @param <T>
     * @return
     * @throws Exception
     */
    public <T> T getCache(final String key) throws Exception {
        byte[] result = redisTemplate.execute(new RedisCallback<byte[]>() {
            @Override
            public byte[] doInRedis(RedisConnection connection) throws DataAccessException {
                return connection.get(key.getBytes());
            }
        });
        if (result == null) {
            return null;
        }
        return (T) SerializerUtil.deserializeObj(result);
    }
}

4、测试代码;

    @Test
    public void test7() throws Exception{
        List<String> list = new ArrayList<String>();
        list.add("测试list");
        list.add("测试list2");
        
        Map<String,Object> map = new HashMap<String, Object>();
        map.put("test*","测试数据");
        map.put("测试数据","啥的");
        map.put("listTest",list);
        redisCache.putCache("testMap",map);

        Map<String,Object> mapResult = redisCache.getCache("testMap");
        System.out.print(mapResult.toString());

    }

结果:

5、OK,一切正常。ps:有兴趣的同学可以去看看redis源码,挺好!

posted @ 2016-11-04 23:40  沃弗码客  阅读(8266)  评论(2编辑  收藏  举报
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