Redis之RedisTemplate配置方式(序列和反序列化)

<dependency>
   <groupId>org.springframework.boot</groupId>
   <artifactId>spring-boot-starter-data-redis</artifactId>
</dependency>

package com.sleb.SpringCloud.common.config;
import com.alibaba.fastjson.support.spring.GenericFastJsonRedisSerializer;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.data.redis.connection.RedisConnectionFactory;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.serializer.GenericToStringSerializer;

@Configuration
public class RedisConfig {
    @Bean
    public RedisTemplate<Object, Object> redisTemplate(RedisConnectionFactory redisConnectionFactory) {
        RedisTemplate<Object, Object> redisTemplate = new RedisTemplate<>();
        redisTemplate.setConnectionFactory(redisConnectionFactory);
        // 使用 GenericFastJsonRedisSerializer 替换默认序列化
        GenericFastJsonRedisSerializer genericFastJsonRedisSerializer = new GenericFastJsonRedisSerializer();
        // 设置key和value的序列化规则
        redisTemplate.seTKEySerializer(new GenericToStringSerializer<>(Object.class));
        redisTemplate.setValueSerializer(genericFastJsonRedisSerializer);
        // 设置hashKey和hashValue的序列化规则
        redisTemplate.setHashKeySerializer(new GenericToStringSerializer<>(Object.class));
        redisTemplate.setHashValueSerializer(genericFastJsonRedisSerializer);
        // 设置支持事物
        redisTemplate.setEnableTransactionSupport(true);
        redisTemplate.afterPropertiesSet();
        return redisTemplate;
    }
}

<!-- redis数据源 -->
    <bean id="poolConfig" class="redis.clients.jedis.JedisPoolConfig">
        <!-- 最大空闲数 -->
        <property name="maxIdle" value="${redis.maxIdle}"/>
        <!-- 最大空连接数 -->
        <property name="maxTotal" value="${redis.maxTotal}"/>
        <!-- 最大等待时间 -->
        <property name="maxWaitMillis" value="${redis.maxWaitMillis}"/>
        <!-- 返回连接时，检测连接是否成功 -->
        <property name="testOnBorrow" value="${redis.testOnBorrow}"/>
    </bean>
<!-- Spring-data-redis连接池管理工厂 -->
    <bean id="jedisConnectionFactory" class="org.springframework.data.redis.connection.jedis.JedisConnectionFactory">
        <!-- IP地址 -->
        <property name="hostName" value="${redis.host}"/>
        <!-- 端口号 -->
        <property name="port" value="${redis.port}"/>
        <!-- 密码 -->
<!--        <property name="passWord" value="${redis.password}"/>-->
        <!-- 超时时间 默认2000 -->
        <property name="timeout" value="${redis.timeout}"/>
        <!-- 连接池配置引用 -->
        <property name="poolConfig" ref="poolConfig"/>
        <!-- 是否使用连接池 -->
        <property name="usePool" value="true"/>
        <!-- 指定使用的数据库 -->
        <property name="database" value="0"/>
    </bean>
<!-- redis template definition -->
    <bean id="redisTemplate" 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"/>
        </property>
        <property name="hashKeySerializer">
            <bean class="org.springframework.data.redis.serializer.StringRedisSerializer"/>
        </property>
        <property name="hashValueSerializer">
            <bean class="org.springframework.data.redis.serializer.JdkSerializationRedisSerializer"/>
        </property>
    </bean>

    public void testRedisListPush() {
        String redisKey = "testGoodsKey";
        List<String> redisValues = Arrays.asList("10002001", "10002002");
        // 使用管道向redis list结构中批量插入元素
        redisTemplate.executePipelined((RedisConnection redisConnection) -> {
            // 打开管道
            redisConnection.openPipeline();
            // 给本次管道内添加，一次性执行的多条命令
            for (String redisValue : redisValues) {
                redisConnection.rPush(redisKey.getBytes(), redisValue.getBytes());
            }
            return null;
        });
    }

	public void testRedisListPop() {
        String redisKey = "testGoodsKey";
        // 使用管道从redis list结构中批量获取元素
        List<Object> objects = redisTemplate.executePipelined((RedisConnection redisConnection) -> {
            // 打开管道
            redisConnection.openPipeline();
            for (int i = 0; i < 2; i++) {
                redisConnection.rPop(redisKey.getBytes());
            }
            return null;
        });
        System.out.println(objects);
    }

    public void testRedisListPop() {
        String redisKey = "testGoodsKey";
        // 使用管道从redis list结构中批量获取元素
        List<Object> objects = redisTemplate.executePipelined((RedisConnection redisConnection) -> {
            // 打开管道
            redisConnection.openPipeline();
            for (int i = 0; i < 2; i++) {
                redisConnection.rPop(redisKey.getBytes());
            }
            return null;
        }, redisTemplate.getStringSerializer());
        System.out.println(objects);
    }

    public void testRedisListPush() {
        String redisKey = "testGoodsKey";
        List<String> redisValues = Arrays.asList("10002001", "10002002");
        redisValues.forEach(redisValue -> redisTemplate.opsForList().rightPush(redisKey, redisValue));
    }

    public void testRedisListPush() {
        String redisKey = "testGoodsKey";
        List<String> redisValues = Arrays.asList("10002001", "10002002");
        // 使用管道向redis list结构中批量插入元素
        redisTemplate.executePipelined((RedisConnection redisConnection) -> {
            // 打开管道
            redisConnection.openPipeline();
            // 给本次管道内添加，一次性执行的多条命令
            for (String redisValue : redisValues) {
                redisConnection.rPush(redisKey.getBytes(), redisValue.getBytes());
            }
            return null;
        });
    }