SpringCloud章节复习已经过去，新的章节Redis开始了，这个章节中将会回顾Redis
主要依照以下几个原则

1. 基础+实战的Demo和Coding上传到我的代码仓库
2. 在原有基础上加入一些设计模式，stream+lamdba等新的糖
3. 通过DeBug调试，进入组件源码去分析底层运行的规则和设计模式

代码会同步在我的gitee中去，觉得不错的同学记得一键三连求关注，感谢：
自定义RedisTemplate序列化-链接: DefineRedistemplate
StringRedisTemplate解决内存占用-链接: StringRedisTemplate

可以进入去看，觉得不错的博主记得一键三连支持下

基本介绍

• 1、什么是 SpringDataRedis?
  

2. 常用API

实例Demo

自定义RedisTemplate序列化

引入依赖

    <dependencies>
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-data-redis</artifactId>
        </dependency>
        
        <dependency>
            <groupId>org.apache.commons</groupId>
            <artifactId>commons-pool2</artifactId>
        </dependency>

        <!--JackSon依赖：为了手动序列化使用-->
        <dependency>
            <groupId>com.fasterxml.jackson.core</groupId>
            <artifactId>jackson-databind</artifactId>
        </dependency>

        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-test</artifactId>
            <scope>test</scope>
        </dependency>
    </dependencies>

配置yaml文件，配置连接池属性

spring:
  redis:
    host: 127.0.0.1
    port: 6379
    password:
    lettuce:
       pool:
         max-active: 8 #最大连接
         max-idle: 8  #最大空闲连接
         min-idle: 0  # 最小
         max-wait: 100ms # 连接等待时间

配置自定义的RedisTemplate

@Configuration
public class RedisConfig {


    @Bean
    public RedisTemplate<String, Object> redisTemplate(RedisConnectionFactory redisConnectionFactory){
        RedisTemplate<String, Object> template = new RedisTemplate<>();
        
        //设置连接工厂
        template.setConnectionFactory(redisConnectionFactory);
        //key和hashkey使用String序列化
        template.setKeySerializer(RedisSerializer.string());
        template.setHashKeySerializer(RedisSerializer.string());
        //设置序列化工具
        GenericJackson2JsonRedisSerializer serializer = new GenericJackson2JsonRedisSerializer();
        //value和hashValue采用JSON序列化方式
        template.setValueSerializer(serializer);
        template.setHashValueSerializer(serializer);
        return template;
    }
}

通过注入属性拿 @Autowired private RedisTemplate<String, Object> redisTemplate;

@SpringBootTest
public class RedisTest {

    @Autowired
    private RedisTemplate<String, Object> redisTemplate;

    @BeforeEach
    void testBefore(){
        System.out.println("开始测试");
    }

    @AfterEach
    void testAfter(){
        System.out.println("结束测试");
    }

    @Test
    void testString(){
        redisTemplate.opsForValue().set("name4", "li");
        Object name = redisTemplate.opsForValue().get("name1");
        System.out.println(name);
    }


    @Test
    void testUser(){
        User user = new User(1, "张大树");
        redisTemplate.opsForValue().set("user1", user);
        User user1 = (User) redisTemplate.opsForValue().get("user1");
        System.out.println(user1);
    }

自定义的RestTemplate的内存占用问题

这种方式会自带类型数据，存放一万个数据，就会花费一万个类型数据的空间，是非常浪费的

    @Test
    void testUser(){
        User user = new User(1, "张大树");
        redisTemplate.opsForValue().set("user1", user);
        User user1 = (User) redisTemplate.opsForValue().get("user1");
        System.out.println(user1);
    }

StringRedisTemplate解决内存占用问题

        <!--JackSon依赖-->
        <dependency>
            <groupId>com.fasterxml.jackson.core</groupId>
            <artifactId>jackson-databind</artifactId>
        </dependency>

@SpringBootTest
public class RedisTest1 {

    @Autowired
    private StringRedisTemplate redisTemplate1;

    private static final ObjectMapper mapper = new ObjectMapper();


    @BeforeEach
    void testBefore(){
        System.out.println("开始测试");
    }

    @AfterEach
    void testAfter(){
        System.out.println("结束测试");
    }

    @Test
    void testString(){
        redisTemplate1.opsForValue().set("name4", "li");
        Object name = redisTemplate1.opsForValue().get("name1");
        System.out.println(name);
    }


    @Test
    void testUser(){
        User user = new User(1, "张大树");
        try {
            String value = mapper.writeValueAsString(user);
            redisTemplate1.opsForValue().set("user:"+ user.getName(), value);

            String user1 = redisTemplate1.opsForValue().get("user:张大树");
            User readValue = mapper.readValue(user1, User.class);
            System.out.println(readValue);
        } catch (JsonProcessingException e) {
            e.printStackTrace();
        }
    }


}

总结