spring boot整合redis ---- RedisTemplate

短命女 2023-10-10 12:13 13阅读 0赞

#### RedisTemplate 三分钟快速入门 ####

*  [引入依赖][Link 1]
 *  [RedisTemplate五种数据结构的操作][RedisTemplate]
 *  [RedisTemplate方法讲解][RedisTemplate 1]
 *   *  [判断key是否存在][key]
     *  [获取指定的key的失效时间][key 1]
     *  [根据key获取过期时间][key 2]
     *  [根据key删除reids中缓存数据][key_reids]
     *  [保存和读取String][String]
     *  [保存和读取list][list]
     *  [Hash结构，保存和读取map][Hash_map]
     *  [保存和读取Set][Set]
     *  [保存和读取zset][zset]
 *  [完整示例代码][Link 2]
 *  [序列化][Link 3]

## 引入依赖 ##

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

## RedisTemplate五种数据结构的操作 ##

> 1.  redisTemplate.opsForValue(); //操作字符串
> 2.  redisTemplate.opsForHash(); //操作hash
> 3.  redisTemplate.opsForList(); //操作list
> 4.  redisTemplate.opsForSet(); //操作set
> 5.  redisTemplate.opsForZSet(); //操作有序zset

## RedisTemplate方法讲解 ##

### 判断key是否存在 ###

/**
         * 判断key是否存在
         */
        @GetMapping("haskey")
        public boolean hasKey(String key) {
            return redisTemplate.hasKey(key);
        }

### 获取指定的key的失效时间 ###

/**
         * 指定key的失效时间
         */
        @GetMapping("expire")
        public void expire(String key, long time) {
            //参数一：key
            //参数二：睡眠时间
            //参数三：睡眠时间单位 TimeUnit.DAYS 天 TimeUnit.HOURS 小时 。。。
            redisTemplate.expire(key, time, TimeUnit.MINUTES);
        }

### 根据key获取过期时间 ###

/**
         * 根据key获取过期时间
         */
        @GetMapping("getexpire")
        public long getExpire(String key) {
            Long expire = redisTemplate.getExpire(key);
            return expire;
        }

### 根据key删除reids中缓存数据 ###

/**
         * 根据key删除reids中缓存数据
         */
        @GetMapping("delredisbykey")
        public void delete(String key) {
            redisTemplate.delete(key);
        }

### 保存和读取String ###

/**
         * 保存和读取String
         */
        @GetMapping("stringredisdemo")
        public String stringredisdemo() {
            //设置过期时间为1分钟
            redisTemplate.opsForValue().set("key1", "value1", 1, TimeUnit.MINUTES);
            redisTemplate.opsForValue().set("key2", "value2");
            redisTemplate.opsForValue().set("key3", "value3");
            //读取redis数据
            String result1 = redisTemplate.opsForValue().get("key1").toString();
            String result2 = redisTemplate.opsForValue().get("key2").toString();
            String result3 = redisTemplate.opsForValue().get("key3").toString();
            System.out.println("缓存结果为：result：" + result1 + "  " + result2 + "   " + result3);
            return "缓存结果为：result：" + result1 + "  " + result2 + "   " + result3;
        }

### 保存和读取list ###

/**
         * 保存和读取list
         */
        @GetMapping("listredisdemo")
        public String listredisdemo() {
            List<String> list1 = new ArrayList<>();
            list1.add("a1");
            list1.add("a2");
            list1.add("a3");
            List<String> list2 = new ArrayList<>();
            list2.add("b1");
            list2.add("b2");
            list2.add("b3");
            redisTemplate.opsForList().leftPush("listkey1", list1);
            redisTemplate.opsForList().rightPush("listkey2", list2);
            List<String> resultList1 = (List<String>) redisTemplate.opsForList().leftPop("listkey1");
            List<String> resultList2 = (List<String>) redisTemplate.opsForList().rightPop("listkey2");
            System.out.println("resultList1:" + resultList1);
            System.out.println("resultList2:" + resultList2);
            return "成功";
        }

### Hash结构，保存和读取map ###

/**
         * Hash结构，保存和读取map
         */
        @GetMapping("mapredisdemo")
        public String mapredisdemo() {
            Map<String, String> map = new HashMap<>();
            map.put("key1", "value1");
            map.put("key2", "value2");
            map.put("key3", "value3");
            map.put("key4", "value4");
            map.put("key5", "value5");
            redisTemplate.opsForHash().putAll("map1", map);
            Map<String, String> resultMap = redisTemplate.opsForHash().entries("map1");
            List<String> reslutMapList = redisTemplate.opsForHash().values("map1");
            Set<String> resultMapSet = redisTemplate.opsForHash().keys("map1");
            String value = (String) redisTemplate.opsForHash().get("map1", "key1");
            System.out.println("value:" + value);
            System.out.println("resultMapSet:" + resultMapSet);
            System.out.println("resultMap:" + resultMap);
            System.out.println("resulreslutMapListtMap:" + reslutMapList);
            return "成功";
        }

### 保存和读取Set ###

/**
         * 保存和读取Set
         */
        @GetMapping("setredisdemo")
        public String getredisdemo() {
            SetOperations<String, String> set = redisTemplate.opsForSet();
            set.add("key1", "value1");
            set.add("key1", "value2");
            set.add("key1", "value3");
            Set<String> resultSet = redisTemplate.opsForSet().members("key1");
            System.out.println("resultSet:" + resultSet);
            return "resultSet:" + resultSet;
        }

### 保存和读取zset ###

/**
         * 保存和读取zset
         */
        @GetMapping("zsetredisdemo")
        public String zsetredisdemo() {
            ZSetOperations.TypedTuple<Object> objectTypedTuple1 = new DefaultTypedTuple<>("zset-5", 9.6);
            ZSetOperations.TypedTuple<Object> objectTypedTuple2 = new DefaultTypedTuple<>("zset-6", 9.9);
            Set<ZSetOperations.TypedTuple<Object>> tuples = new HashSet<>();
            tuples.add(objectTypedTuple1);
            tuples.add(objectTypedTuple2);
            System.out.println(redisTemplate.opsForZSet().add("zset1", tuples));
            System.out.println(redisTemplate.opsForZSet().range("zset1", 0, -1));
            return "成功";
        }

## 完整示例代码 ##

import org.springframework.beans.factory.annotation.Autowired;
    import org.springframework.data.redis.core.DefaultTypedTuple;
    import org.springframework.data.redis.core.RedisTemplate;
    import org.springframework.data.redis.core.SetOperations;
    import org.springframework.data.redis.core.ZSetOperations;
    import org.springframework.web.bind.annotation.GetMapping;
    import org.springframework.web.bind.annotation.RestController;
    
    import java.util.*;
    import java.util.concurrent.TimeUnit;
    
    @RestController
    public class ReidsDemo {
    
        @Autowired
        RedisTemplate redisTemplate;
    
        /**
         * 指定key的失效时间
         */
        @GetMapping("expire")
        public void expire(String key, long time) {
            //参数一：key
            //参数二：睡眠时间
            //参数三：睡眠时间单位 TimeUnit.DAYS 天 TimeUnit.HOURS 小时 。。。
            redisTemplate.expire(key, time, TimeUnit.MINUTES);
        }
    
        /**
         * 根据key获取过期时间
         */
        @GetMapping("getexpire")
        public long getExpire(String key) {
            Long expire = redisTemplate.getExpire(key);
            return expire;
        }
    
        /**
         * 判断key是否存在
         */
        @GetMapping("haskey")
        public boolean hasKey(String key) {
            return redisTemplate.hasKey(key);
        }
    
        /**
         * 根据key删除reids中缓存数据
         */
        @GetMapping("delredisbykey")
        public void delete(String key) {
            redisTemplate.delete(key);
        }
    
        /**
         * 保存和读取String
         */
        @GetMapping("stringredisdemo")
        public String stringredisdemo() {
            //设置过期时间为1分钟
            redisTemplate.opsForValue().set("key1", "value1", 1, TimeUnit.MINUTES);
            redisTemplate.opsForValue().set("key2", "value2");
            redisTemplate.opsForValue().set("key3", "value3");
            //读取redis数据
            String result1 = redisTemplate.opsForValue().get("key1").toString();
            String result2 = redisTemplate.opsForValue().get("key2").toString();
            String result3 = redisTemplate.opsForValue().get("key3").toString();
            System.out.println("缓存结果为：result：" + result1 + "  " + result2 + "   " + result3);
            return "缓存结果为：result：" + result1 + "  " + result2 + "   " + result3;
        }
    
        /**
         * 保存和读取list
         */
        @GetMapping("listredisdemo")
        public String listredisdemo() {
            List<String> list1 = new ArrayList<>();
            list1.add("a1");
            list1.add("a2");
            list1.add("a3");
            List<String> list2 = new ArrayList<>();
            list2.add("b1");
            list2.add("b2");
            list2.add("b3");
            redisTemplate.opsForList().leftPush("listkey1", list1);
            redisTemplate.opsForList().rightPush("listkey2", list2);
            List<String> resultList1 = (List<String>) redisTemplate.opsForList().leftPop("listkey1");
            List<String> resultList2 = (List<String>) redisTemplate.opsForList().rightPop("listkey2");
            System.out.println("resultList1:" + resultList1);
            System.out.println("resultList2:" + resultList2);
            return "成功";
        }
    
        /**
         * Hash结构，保存和读取map
         */
        @GetMapping("mapredisdemo")
        public String mapredisdemo() {
            Map<String, String> map = new HashMap<>();
            map.put("key1", "value1");
            map.put("key2", "value2");
            map.put("key3", "value3");
            redisTemplate.opsForHash().putAll("map1", map);
            Map<String, String> resultMap = redisTemplate.opsForHash().entries("map1");
            List<String> reslutMapList = redisTemplate.opsForHash().values("map1");
            Set<String> resultMapSet = redisTemplate.opsForHash().keys("map1");
            String value = (String) redisTemplate.opsForHash().get("map1", "key1");
            System.out.println("value:" + value);
            System.out.println("resultMapSet:" + resultMapSet);
            System.out.println("resultMap:" + resultMap);
            System.out.println("resulreslutMapListtMap:" + reslutMapList);
            return "成功";
        }
    
        /**
         * 保存和读取Set
         */
        @GetMapping("setredisdemo")
        public String getredisdemo() {
            SetOperations<String, String> set = redisTemplate.opsForSet();
            set.add("key1", "value1");
            set.add("key1", "value2");
            set.add("key1", "value3");
            Set<String> resultSet = redisTemplate.opsForSet().members("key1");
            System.out.println("resultSet:" + resultSet);
            return "resultSet:" + resultSet;
        }
    
        /**
         * 保存和读取zset
         */
        @GetMapping("zsetredisdemo")
        public String zsetredisdemo() {
            ZSetOperations.TypedTuple<Object> objectTypedTuple1 = new DefaultTypedTuple<>("zset-5", 9.6);
            ZSetOperations.TypedTuple<Object> objectTypedTuple2 = new DefaultTypedTuple<>("zset-6", 9.9);
            Set<ZSetOperations.TypedTuple<Object>> tuples = new HashSet<>();
            tuples.add(objectTypedTuple1);
            tuples.add(objectTypedTuple2);
            System.out.println(redisTemplate.opsForZSet().add("zset1", tuples));
            System.out.println(redisTemplate.opsForZSet().range("zset1", 0, -1));
            return "成功";
        }
    
    }

## 序列化 ##

> 直接粘贴在项目中即可

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.GenericJackson2JsonRedisSerializer;
    import org.springframework.data.redis.serializer.RedisSerializer;
    import org.springframework.data.redis.serializer.StringRedisSerializer;
    
    /*
    *序列化
     */
    @Configuration
    public class MyRedisConfig {
    
        @Bean(name = "redisTemplate")
        public RedisTemplate<String, Object> redisTemplate(RedisConnectionFactory redisConnectionFactory){
            RedisTemplate<String, Object> redisTemplate = new RedisTemplate<>();
            //参照StringRedisTemplate内部实现指定序列化器
            redisTemplate.setConnectionFactory(redisConnectionFactory);
            redisTemplate.setKeySerializer(keySerializer());
            redisTemplate.setHashKeySerializer(keySerializer());
            redisTemplate.setValueSerializer(valueSerializer());
            redisTemplate.setHashValueSerializer(valueSerializer());
            return redisTemplate;
        }
    
        private RedisSerializer<String> keySerializer(){
            return new StringRedisSerializer();
        }
    
        //使用Jackson序列化器
        private RedisSerializer<Object> valueSerializer(){
            return new GenericJackson2JsonRedisSerializer();
        }
        
    }

[Link 1]: https://blog.csdn.net/xiaozhezhe0470/article/details/111870478?utm_medium=distribute.pc_category.none-task-blog-hot-3.nonecase&depth_1-utm_source=distribute.pc_category.none-task-blog-hot-3.nonecase#_7
[RedisTemplate]: https://blog.csdn.net/xiaozhezhe0470/article/details/111870478?utm_medium=distribute.pc_category.none-task-blog-hot-3.nonecase&depth_1-utm_source=distribute.pc_category.none-task-blog-hot-3.nonecase#RedisTemplate_14
[RedisTemplate 1]: https://blog.csdn.net/xiaozhezhe0470/article/details/111870478?utm_medium=distribute.pc_category.none-task-blog-hot-3.nonecase&depth_1-utm_source=distribute.pc_category.none-task-blog-hot-3.nonecase#RedisTemplate_20
[key]: https://blog.csdn.net/xiaozhezhe0470/article/details/111870478?utm_medium=distribute.pc_category.none-task-blog-hot-3.nonecase&depth_1-utm_source=distribute.pc_category.none-task-blog-hot-3.nonecase#key_22
[key 1]: https://blog.csdn.net/xiaozhezhe0470/article/details/111870478?utm_medium=distribute.pc_category.none-task-blog-hot-3.nonecase&depth_1-utm_source=distribute.pc_category.none-task-blog-hot-3.nonecase#key_33
[key 2]: https://blog.csdn.net/xiaozhezhe0470/article/details/111870478?utm_medium=distribute.pc_category.none-task-blog-hot-3.nonecase&depth_1-utm_source=distribute.pc_category.none-task-blog-hot-3.nonecase#key_48
[key_reids]: https://blog.csdn.net/xiaozhezhe0470/article/details/111870478?utm_medium=distribute.pc_category.none-task-blog-hot-3.nonecase&depth_1-utm_source=distribute.pc_category.none-task-blog-hot-3.nonecase#keyreids_61
[String]: https://blog.csdn.net/xiaozhezhe0470/article/details/111870478?utm_medium=distribute.pc_category.none-task-blog-hot-3.nonecase&depth_1-utm_source=distribute.pc_category.none-task-blog-hot-3.nonecase#String_73
[list]: https://blog.csdn.net/xiaozhezhe0470/article/details/111870478?utm_medium=distribute.pc_category.none-task-blog-hot-3.nonecase&depth_1-utm_source=distribute.pc_category.none-task-blog-hot-3.nonecase#list_94
[Hash_map]: https://blog.csdn.net/xiaozhezhe0470/article/details/111870478?utm_medium=distribute.pc_category.none-task-blog-hot-3.nonecase&depth_1-utm_source=distribute.pc_category.none-task-blog-hot-3.nonecase#Hashmap_120
[Set]: https://blog.csdn.net/xiaozhezhe0470/article/details/111870478?utm_medium=distribute.pc_category.none-task-blog-hot-3.nonecase&depth_1-utm_source=distribute.pc_category.none-task-blog-hot-3.nonecase#Set_147
[zset]: https://blog.csdn.net/xiaozhezhe0470/article/details/111870478?utm_medium=distribute.pc_category.none-task-blog-hot-3.nonecase&depth_1-utm_source=distribute.pc_category.none-task-blog-hot-3.nonecase#zset_165
[Link 2]: https://blog.csdn.net/xiaozhezhe0470/article/details/111870478?utm_medium=distribute.pc_category.none-task-blog-hot-3.nonecase&depth_1-utm_source=distribute.pc_category.none-task-blog-hot-3.nonecase#_184
[Link 3]: https://blog.csdn.net/xiaozhezhe0470/article/details/111870478?utm_medium=distribute.pc_category.none-task-blog-hot-3.nonecase&depth_1-utm_source=distribute.pc_category.none-task-blog-hot-3.nonecase#_330