redis的基本数据类型测试

依赖

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

 

@SpringBootTest
class SpringBootTestApplicationTests {

    @Resource
    StringRedisTemplate stringRedisTemplate;

    @Test
    void StringRedis() {
        stringRedisTemplate.opsForValue().set("name", "张三");
        //获取

        String s = stringRedisTemplate.opsForValue().get(name);

        //设置过期时间10s
        stringRedisTemplate.expire("name", 10, TimeUnit.SECONDS);
    }

    @Test
    void ListRedis() {
        List list = new ArrayList<>();
        list.add("aaah");
        list.add("bbb3");
        list.add("ccc2");
//        所有的集合作为一条数据进行储存  rightPush :从尾部添加
        stringRedisTemplate.opsForList().rightPush("list1", list.toString());
//        leftPush :从头部添加
        stringRedisTemplate.opsForList().leftPush("list2", list.toString());
//       作为n数据进行储存
        stringRedisTemplate.opsForList().rightPushAll("list5", list);
        //      list集合获取启始到结束的集合
        List<String> list1 = stringRedisTemplate.opsForList().range("list1", 0, -1);
        List<String> list5 = stringRedisTemplate.opsForList().range("list5", 0, -1);
        System.out.println("list1 :" + list1);
        System.out.println("list5 :" + list5);

//        list1 :[[aaah, bbb3, ccc2], [aaah, bbb3, ccc2]]
//        list5 :[aaah, bbb3, ccc2, aaah, bbb3, ccc2]
    }

    @Test
    void SetRedis() {
//        无序不可以重复的集合
        stringRedisTemplate.opsForSet().add("z1a", "aaa", "bbb", "ddd", "ccc", "aaa");
//     set获取
        Set<String> z1a = stringRedisTemplate.opsForSet().members("z1a");
        System.out.println(z1a);
//        [aaa, bbb, ddd, ccc]
//        查看个数
        Long z1a1 = stringRedisTemplate.opsForSet().size("z1a");
        System.out.println("z1a1:" + z1a1);
//      z1a1:4

    }

    @Test
    void ZSetRedis() {
        //    有序不可以重复的集合
        stringRedisTemplate.opsForZSet().add("z1b", "aaa", 22);
        stringRedisTemplate.opsForZSet().add("z1b", "ccc", 11);
        stringRedisTemplate.opsForZSet().add("z1b", "ddd", 33);
//     zset 从小到大获取
        Set<String> z1b = stringRedisTemplate.opsForZSet().range("z1b", 0, -1);
        System.out.println("z1b:" + z1b);
//        z1b:[ccc, dd, aaa, bbb, ddd]
//     zset 从大到小获取
        Set<String> strings = stringRedisTemplate.opsForZSet().reverseRange("z1b", 0, -1);
        System.out.println("strings:"+strings);
//        strings:[ddd, bbb, aaa, dd, ccc]
    }

    @Test
    void HashRedis() {
        stringRedisTemplate.opsForHash().put("user", "name", "小明");
        stringRedisTemplate.opsForHash().put("user", "pass", "123456");
        stringRedisTemplate.opsForHash().put("user", "age", "15");
//        获取单个
        Object o = stringRedisTemplate.opsForHash().get("user", "name");
        System.out.println("o:" + o); //o:小明
//        获取所有
        Map<Object, Object> user = stringRedisTemplate.opsForHash().entries("user");
        System.out.println("user:" + user);
//        user:{name=小明, pass=123456, age=15}
    }

}