04.spring-data-redis与Jedis整合使用

1.spring-data-redis与Jedis简单整合

spring-data-redis与Jedis简单整合，Redis没有任何集群只是单节点工作，使用连接池

1.创建spring-context-jedis.xml配置文件

<?xml version="1.0" encoding="UTF-8"?>
<beans xmlns="http://www.springframework.org/schema/beans"
	xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
	xmlns:context="http://www.springframework.org/schema/context"
	xmlns:mvc="http://www.springframework.org/schema/mvc"
	xsi:schemaLocation="
		http://www.springframework.org/schema/mvc
		http://www.springframework.org/schema/mvc/spring-mvc-4.0.xsd
		http://www.springframework.org/schema/beans
		http://www.springframework.org/schema/beans/spring-beans-4.0.xsd
		http://www.springframework.org/schema/context
		http://www.springframework.org/schema/context/spring-context-4.0.xsd"
	default-lazy-init="false">
	<!-- 连接池配置. -->
	<bean id="jedisPoolConfig" class="redis.clients.jedis.JedisPoolConfig">
		<!-- 连接池中最大连接数。高版本：maxTotal，低版本：maxActive -->
		<property name="maxTotal" value="8" />
		<!-- 连接池中最大空闲的连接数. -->
		<property name="maxIdle" value="4" />
		<!-- 连接池中最少空闲的连接数. -->
		<property name="minIdle" value="1" />
		<!-- 当连接池资源耗尽时，调用者最大阻塞的时间，超时将跑出异常。单位，毫秒数;默认为-1.表示永不超时。高版本：maxWaitMillis，低版本：maxWait -->
		<property name="maxWaitMillis" value="5000" />
		<!-- 连接空闲的最小时间，达到此值后空闲连接将可能会被移除。负值(-1)表示不移除. -->
		<property name="minEvictableIdleTimeMillis" value="300000" />
		<!-- 对于“空闲链接”检测线程而言，每次检测的链接资源的个数。默认为3 -->
		<property name="numTestsPerEvictionRun" value="3" />
		 <!-- “空闲链接”检测线程，检测的周期，毫秒数。如果为负值，表示不运行“检测线程”。默认为-1. -->
		<property name="timeBetweenEvictionRunsMillis" value="60000" />
		<!-- testOnBorrow:向调用者输出“链接”资源时，是否检测是有有效，如果无效则从连接池中移除，并尝试获取继续获取。默认为false。建议保持默认值. -->
		<!-- testOnReturn:向连接池“归还”链接时，是否检测“链接”对象的有效性。默认为false。建议保持默认值.-->
		<!-- testWhileIdle:向调用者输出“链接”对象时，是否检测它的空闲超时；默认为false。如果“链接”空闲超时，将会被移除。建议保持默认值. -->
		<!-- whenExhaustedAction:当“连接池”中active数量达到阀值时，即“链接”资源耗尽时，连接池需要采取的手段, 默认为1(0:抛出异常。1:阻塞，直到有可用链接资源。2:强制创建新的链接资源) -->
	</bean>
	<!-- Spring提供的Redis连接工厂 -->
	<bean id="jedisConnectionFactory" class="org.springframework.data.redis.connection.jedis.JedisConnectionFactory" destroy-method="destroy">
		<!-- 连接池配置. -->
		<property name="poolConfig" ref="jedisPoolConfig" />
		<!-- Redis服务主机. -->
		<property name="hostName" value="192.168.110.101" />
		<!-- Redis服务端口号. -->
		<property name="port" value="6379" />
		<!-- Redis服务连接密码. -->
		<!-- <property name="password" value="${redis.password}" /> -->
		<!-- 连超时设置. -->
		<property name="timeout" value="15000" />
		<!-- 是否使用连接池. -->
		<property name="usePool" value="true" />
	</bean>
	<!-- Spring提供的访问Redis类. -->
	<bean id="jedisTemplate" class="org.springframework.data.redis.core.RedisTemplate">
		<property name="connectionFactory" ref="jedisConnectionFactory" />
		<property name="keySerializer">
			<bean class="org.springframework.data.redis.serializer.StringRedisSerializer" />
		</property>
		<property name="valueSerializer">
			<!-- <bean class="org.springframework.data.redis.serializer.JdkSerializationRedisSerializer" /> -->
			<bean class="org.springframework.data.redis.serializer.GenericJackson2JsonRedisSerializer" />
		</property>
	</bean>
</beans>

2.使用Spring提供的RedisTemplate类

public static void main(String[] args)
{
    ClassPathXmlApplicationContext applicationContext = new ClassPathXmlApplicationContext("spring-context-jedis.xml");
    
    // 获取Spring提供的RedisTemplate类此类封装了Jedis，简化操作
    RedisTemplate<String, List<String>> redisTemplate = applicationContext.getBean("jedisTemplate", RedisTemplate.class);
    // Spring 提供的各种Redis结构的key-value操作类
    ValueOperations<String, List<String>> value = redisTemplate.opsForValue();
    HashOperations<String, Object, Object> hash = redisTemplate.opsForHash();
    ListOperations<String, List<String>> list = redisTemplate.opsForList();
    HyperLogLogOperations<String, List<String>> hyperLogLog = redisTemplate.opsForHyperLogLog();
    SetOperations<String, List<String>> set = redisTemplate.opsForSet();
    ZSetOperations<String, List<String>> zSet = redisTemplate.opsForZSet();
    List<String> listValue = new ArrayList<String>();
    listValue.add("001");
    listValue.add("002");
    value.set("list", listValue);
    System.out.println(value.get("list"));
    
    // 关闭Spring容器释放资源
    applicationContext.close();
}

3.关于RedisTemplate类源码学习

RedisTemplate类的属性

private boolean enableTransactionSupport = false;
private boolean exposeConnection = false;
private boolean initialized = false;
private boolean enableDefaultSerializer = true;
// 默认的序列化实现
private RedisSerializer<?> defaultSerializer = new JdkSerializationRedisSerializer();
// 各种操作的序列化方式定义
private RedisSerializer keySerializer = null;
private RedisSerializer valueSerializer = null;
private RedisSerializer hashKeySerializer = null;
private RedisSerializer hashValueSerializer = null;
private RedisSerializer<String> stringSerializer = new StringRedisSerializer();
private ScriptExecutor<K> scriptExecutor;
// Spring 提供的各种Redis结构的key-value操作类
// cache singleton objects (where possible)
private ValueOperations<K, V> valueOps;
private ListOperations<K, V> listOps;
private SetOperations<K, V> setOps;
private ZSetOperations<K, V> zSetOps;
private HyperLogLogOperations<K, V> hllOps;

在一个应用中RedisTemplate类对象可以是单例的，因为其属性“ valueOps、listOps、setOps、zSetOps、hllOps”的各种操作也是线程安全的，源码如下：

获取其“ valueOps、listOps、setOps、zSetOps、hllOps”属性：

public ValueOperations<K, V> opsForValue()
{
    if (valueOps == null)
    {
        valueOps = new DefaultValueOperations<K, V>(this);
    }
    return valueOps;
}
public ListOperations<K, V> opsForList()
{
    if (listOps == null)
    {
        listOps = new DefaultListOperations<K, V>(this);
    }
    return listOps;
}
// 省略部分......

其属性“ valueOps、listOps、setOps、zSetOps、hllOps”的各种操作也是线程安全的，例如valueOps属性对象默认实现类DefaultValueOperations<K, V>源码：

public void set(K key, V value)
{
    final byte[] rawValue = rawValue(value);
    execute(new ValueDeserializingRedisCallback(key)
    {
        protected byte[] inRedis(byte[] rawKey, RedisConnection connection)
        {
            connection.set(rawKey, rawValue);
            return null;
        }
    }, true);
}
// 省略其他操作......

再看看execute的实现如下：

//org.springframework.data.redis.core.AbstractOperations<K, V>
<T> T execute(RedisCallback<T> callback, boolean b) {
    return template.execute(callback, b);
}
// template.execute实现如下：
// org.springframework.data.redis.core.RedisTemplate<K, V>
public <T> T execute(RedisCallback<T> action, boolean exposeConnection) {
    return execute(action, exposeConnection, false);
}
// execute实现如下：
// org.springframework.data.redis.core.RedisTemplate<K, V> --- 最终实现
public <T> T execute(RedisCallback<T> action, boolean exposeConnection, boolean pipeline) {
    Assert.isTrue(initialized, "template not initialized; call afterPropertiesSet() before using it");
    Assert.notNull(action, "Callback object must not be null");
    RedisConnectionFactory factory = getConnectionFactory();
    RedisConnection conn = null;
    try {
        if (enableTransactionSupport) {
            // only bind resources in case of potential transaction synchronization
            conn = RedisConnectionUtils.bindConnection(factory, enableTransactionSupport);
        } else {
            conn = RedisConnectionUtils.getConnection(factory);
        }
        boolean existingConnection = TransactionSynchronizationManager.hasResource(factory);
        RedisConnection connToUse = preProcessConnection(conn, existingConnection);
        boolean pipelineStatus = connToUse.isPipelined();
        if (pipeline && !pipelineStatus) {
            connToUse.openPipeline();
        }
        RedisConnection connToExpose = (exposeConnection ? connToUse : createRedisConnectionProxy(connToUse));
        T result = action.doInRedis(connToExpose);
        // close pipeline
        if (pipeline && !pipelineStatus) {
            connToUse.closePipeline();
        }
        // TODO: any other connection processing?
        return postProcessResult(result, connToUse, existingConnection);
    } finally {
        if (!enableTransactionSupport) {
            RedisConnectionUtils.releaseConnection(conn, factory);
        }
    }
}

此时已经可以看出每次操作都会创建一个新的RedisConnection对象使用完成会调用RedisConnectionUtils.releaseConnection(conn, factory)方法释放连接，若想查看其创建RedisConnection连接和RedisConnectionUtils.releaseConnection(conn, factory)释放连接过程可继续查看其源码，此处就不赘述了。

2.JedisConnectionFactory中使用sentinel集群

1.在spring-context-jedis.xml中配置sentinel信息

<!-- Redis sentinel集群配置 -->
<bean id="sentinelConfig" class="org.springframework.data.redis.connection.RedisSentinelConfiguration">
    <constructor-arg index="0" type="java.lang.String" value="master001" />
    <constructor-arg index="1" type="java.util.Set">
        <set>
            <value>192.168.110.100:26379</value>
            <value>192.168.110.100:36379</value>
            <value>192.168.110.100:46379</value>
        </set>
    </constructor-arg>
</bean>
<!-- Spring提供的Redis连接工厂 -->
<bean id="jedisConnectionFactory" class="org.springframework.data.redis.connection.jedis.JedisConnectionFactory" destroy-method="destroy">
    <!-- Redis sentinel集群配置 -->
    <constructor-arg index="0" type="org.springframework.data.redis.connection.RedisSentinelConfiguration" ref="sentinelConfig" />
    <!-- 连接池配置. -->
    <constructor-arg index="1" type="redis.clients.jedis.JedisPoolConfig" ref="jedisPoolConfig" />
    
    <!-- Redis服务主机. -->
    <property name="hostName" value="192.168.110.101" />
    <!-- Redis服务端口号. -->
    <property name="port" value="6379" />
    <!-- Redis服务连接密码. -->
    <!-- <property name="password" value="${redis.password}" /> -->
    <!-- 连超时设置. -->
    <property name="timeout" value="15000" />
    <!-- 是否使用连接池. -->
    <property name="usePool" value="true" />
</bean>

2.使用测试代码

public static void main(String[] args)
{
    ClassPathXmlApplicationContext applicationContext = new ClassPathXmlApplicationContext("spring-context-jedis.xml");
    // 获取Spring提供的RedisTemplate类此类封装了Jedis，简化操作
    RedisTemplate<String, String> redisTemplate = applicationContext.getBean("jedisTemplate", RedisTemplate.class);
    ValueOperations<String, String> value = redisTemplate.opsForValue();
    value.set("K001", "V001");
    System.out.println(value.get("K001"));
    // 关闭Redis Master服务
    Scanner scanner = new Scanner(System.in);
    String input = scanner.nextLine();
    System.out.println(input);
    value.set("K002", "V002");
    System.out.println(value.get("K002"));
    // 关闭Spring容器释放资源
    applicationContext.close();
}

代码输出，注意中间的打印：

2015-10-3 15:10:59 redis.clients.jedis.JedisSentinelPool initSentinels
信息: Trying to find master from available Sentinels...
2015-10-3 15:10:59 redis.clients.jedis.JedisSentinelPool initSentinels
信息: Redis master running at 192.168.110.101:6379, starting Sentinel listeners...
2015-10-3 15:10:59 redis.clients.jedis.JedisSentinelPool initPool
信息: Created JedisPool to master at 192.168.110.101:6379
V001
2015-10-3 15:11:38 redis.clients.jedis.JedisSentinelPool initPool
信息: Created JedisPool to master at 192.168.110.103:6379
V002

3.JedisConnectionFactory中使用JedisShardInfo

Spring-Data-Redis好像并不支持Redis分片集群，但是JedisConnectionFactory源码中有一个JedisShardInfo属性，源码如下：

private JedisShardInfo shardInfo;
// 省略......
public void afterPropertiesSet() {
    if (shardInfo == null) {
        shardInfo = new JedisShardInfo(hostName, port);
        if (StringUtils.hasLength(password)) {
            shardInfo.setPassword(password);
        }
        if (timeout > 0) {
            setTimeoutOn(shardInfo, timeout);
        }
    }
    if (usePool) {
        this.pool = createPool();
    }
}
// 省略......
protected Jedis fetchJedisConnector() {
    try {
        if (usePool && pool != null) {
            return pool.getResource();
        }
        Jedis jedis = new Jedis(getShardInfo());
        // force initialization (see Jedis issue #82)
        jedis.connect();
        return jedis;
    } catch (Exception ex) {
        throw new RedisConnectionFailureException("Cannot get Jedis connection", ex);
    }
}

-------------------------------------------------------------------------------------------------------------------------------

来自为知笔记(Wiz)