Integration of Redis framework and SpringBoot and detailed learning summary

Table of contents

springBoot integrates Redis

Advantages of Redis

Redis installation

Redis data types

Springboot operates Redis

springboot configuration redis

RedisTemplate and its related methods

springBoot implements upload and download

RedisTemplate and its related methods

springBoot implements upload and download

springBoot CORS (Cross Domain Resource Sharing)

springBoot aggregation project

springBoot integrates Redis

Redis is completely open source, complies with the BSD protocol, and is a high-performance key-value database.

Redis and other key-value cache products have the following three characteristics:

Redis supports data persistence, which can save the data in the memory to the disk, and can be loaded again for use when restarting.
Redis not only supports simple key-value type data, but also provides storage of data structures such as list, set, zset, and hash.
Redis supports data backup, that is, data backup in master-slave mode.

Advantages of Redis

Extremely high performance – Redis can read at 110,000 times/s and write at 81,000 times/s
Rich data types – Redis supports String, List, Hash, Set and zset data types for binary cases.
Atomic – All Redis operations are atomic, meaning they either succeed or fail at all. Individual operations are atomic. Multiple operations also support transactions, that is, atomicity, wrapped by MULTI and EXEC instructions.
Rich features – Redis also supports publish/subscribe, notification, key expiration and other features
Redis is single-threaded, and version 6.0 supports multi-threading.

Redis installation

Download address: Releases·tporadowski/redis·GitHub .

Decompress the downloaded compressed file, the list of files after decompression is as follows:

Open Redis using cmd window

Install the Redis database client

Library related instructions:

flushdb clears the current library 
flushall
clears all libraries 
select
1 switch library

Key related instructions

instruction	effect	grammar
of the	delete one or more keys	del keyname
exists	Determine whether one or more keys exist, and return 1 if one of the keys exists	exists keyname
expire	Set the survival time unit of the key: seconds	expire keyname seconds
keys	Query all keys matching the pattern? Match a character * Match 0-n characters [] to meet one of them	key * key h?llo
move	Move the key to the specified library	move keyname db
pexpire	Set the survival time unit of the key: return 1 if the millisecond setting is successful, otherwise return 0	pexpire keyname milliseconds
ttl	Returns the remaining lifetime of the key in seconds, returns -1 for permanent storage, -2 for key does not exist	ttl keyname
randomkey	Randomly returns a key from the current database	randomkey
rename	Rename the key, return ok if successful, otherwise return an error message.	rename key newkey
type	Returns the type of the value stored by the key	type keyname

Redis data types

1. String (string)

string is the most basic type of redis, you can understand it as exactly the same type as Memcached, a key corresponds to a value.
The string type is binary safe. It means that the string of redis can contain any data. Such as jpg images or serialized objects.
The string type is the most basic data type of Redis, and the value of the string type can store up to 512MB.

Operation instruction:

Order	describe
SET	Set the value of the specified key
GET	Get the value of the specified key.
AFFECTED	Returns the subcharacters of the string value at key
GETSET	Sets the value of the given key to value and returns the old value of the key.
SEVEN	Associate the value value to key and set the key's expiration time to seconds (in seconds).
SETNX	Only set the value of the key if the key does not exist
STRLEN	Returns the length of the string value stored by key.
MSET	Set one or more key-value pairs at the same time.
MSETNX	Simultaneously set one or more key-value pairs if and only if none of the given keys exist
INCR	Increment the numeric value stored in key by one
INCRBY	Add the value stored by the key to the given increment value (increment)
INCRBYFLOAT	Add the value stored by the key to the given floating point increment value (increment)
Dec	Decrements the numeric value stored in key by one.
DECRBY	The value stored by the key minus the given decrement value (decrement)
APPEND	If the key already exists and is a string, the APPEND command will append the specified value to the end of the key's original value (value)

2. Hash (hash)

Redis hash is a collection of key-value (key=>value) pairs.
Redis hash is a mapping table of string type field and value, and hash is especially suitable for storing objects.

Operation instruction:

Order	describe
hset	Set a key/value pair
hget	Get the value corresponding to the key
hgetall	Get all key/value pairs
hdel	Delete a key/value pair
hexists	Determine whether a key exists
hkeys	Get all keys
whale	Get all values
hmset	Set multiple key/value
hmget	Get the value of multiple keys
hsetnx	Set the value of a key that does not exist
hincrby	Add operation for the value of value
hincrbyfloat	Add floating-point type value operation to the value of value

3. List (list)

Redis lists are simply lists of strings, sorted by insertion order. You can add an element to the head (left) or tail (right) of the list.

Operation instruction

Order	describe
LINDEX	通过索引获取列表中的元素 lindex lists 0
LINSERT key BEFORE\|AFTER	在列表的元素前或者后插入元素
LLEN	获取列表长度
LPOP	移出并获取列表的第一个元素
LPUSH	将一个或多个值插入到列表头部
LPUSHX	将一个值插入到已存在的列表头部
LRANGE	获取列表指定范围内的元素（0 -1）
LREM	移除列表重复元素
LSET	通过索引设置列表元素的值，但是索引必须存在，实质是根据索引修改值
LTRIM	对一个列表进行修剪(trim)，就是说，让列表只保留指定区间内的元素，不在指定区间之内的元素都将被删除
RPOP	移除列表的最后一个元素，返回值为移除的元素
RPOPLPUSH	移除列表的最后一个元素，并将该元素添加到另一个列表并返回
RPUSH	在列表中添加一个或多个值
RPUSHX	为已存在的列表添加值

4.Set（集合）

Redis 的 Set 是 string 类型的无序集合。
集合是通过哈希表实现的，所以添加，删除，查找的复杂度都是 O(1)。

操作指令：

命令	描述
sadd	为集合添加元素
smembers	显示集合中所有元素（无序）
scard	返回集合中元素的个数
spop	随机返回一个元素，并将这个元素删除
smove	从一个集合向令一个集合中转移元素
srem	从集合中删除一个元素
sismember	判断集合中是否包含这个元素
srandmember	随机返回一个元素
sinter	求交集
sunion	求和集

5.zset(sorted set：有序集合)

Redis zset 和 set 一样也是string类型元素的集合,且不允许重复的成员。
不同的是每个元素都会关联一个double类型的分数。redis正是通过分数来为集合中的成员进行从小到大的排序。
zset的成员是唯一的,但分数(score)却可以重复。

操作指令：

命令	描述
zadd	添加一个有序集合元素
zcard	返回集合中元素的个数
zrange升序 zrevrange降序	返回一个范围内的元素
zrangebyscore	按照分数查找一个范围内的元素
zrank	返回排名
zrevrank	倒叙排名
zscore	显示某个元素的分数
zrem	移除某个元素
zincrby	给某个特定元素加分

springboot操作Redis

spring boot data redis中提供了RedisTemplate和StringRedisTemplate，其中StringRedisTemplate是Redistemplate的子类，两个方法基本一致，不同之处主要体现在操作的数据类型不同，RedisTemplate中的两个泛型都是Object，意味着存储的key和value都可以是一个对象，而StringRedisTemplate的两个泛型都是String，意味着StringRedisTemplate的key和value都只能是字符串。

引入依赖

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

springboot 配置redis

RedisTemplate及其相关方法

1.RedisTemplate

Spring封装了RedisTemplate对象来进行对Redis的各种操作，它支持所有的Redis原生的api。RedisTemplate位于spring-data-redis包下。RedisTemplate提供了redis各种操作、异常处理及序列化，支持发布订阅。

2.Redis5种数据结构操作

redisTemplate.opsForValue(); //操作字符串
redisTemplate.opsForHash(); //操作hash
redisTemplate.opsForList(); //操作list
redisTemplate.opsForSet(); //操作set
redisTemplate.opsForZSet(); //操作有序set

或者：

redistempalate.boundValueOps
redistempalate.boundSetOps
redistempalate.boundListOps
redistempalate.boundHashOps
redistempalate.boundZSetOps

opsForXXX和boundXXXOps的区别：XXX为value的类型，前者获取一个operator，但是没有指定操作的对象（key），可以在一个连接（事务）内操作多个key以及对应的value；后者获取了一个指定操作对象（key）的operator，在一个连接（事务）内只能操作这个key对应的value。

SpringBootTest 实现Redis数据库增删改查

/**
 * 使用RedisTemplate 操作Redis数据的不同数据类型
 */
@SpringBootTest
public class Springbootday03ApplicationTests {
    @Autowired
    private RedisTemplate<String, String> redisTemplate;

    /**
     * String 类型数据操作
     */
    @Test
    public void operateString() {

        //添加值
        redisTemplate.opsForValue().set("str", "strValue1");

        //添加值  判定是否存在 存在则不添加
        Boolean aBoolean = redisTemplate.opsForValue().setIfAbsent("str", "strAbsent");
        System.out.println("str设置成功:" + aBoolean);

        //获取值
        String str = redisTemplate.opsForValue().get("str");
        System.out.println("str = " + str);

        //更新值
        redisTemplate.opsForValue().set("str", "strValue2");
        str = redisTemplate.opsForValue().get("str");
        System.out.println("newStr = " + str);

        //删除值
        Boolean b = redisTemplate.delete("str");
        System.out.println("str删除成功：" + b);

    }

    /**
     * 操作string类型数据  设置过期时间
     */
    @Test
    public void operateString2() {
        redisTemplate.opsForValue().set("str", "strTimeout", 10, TimeUnit.SECONDS);
        //判定值是否存在 不存在则设置值 同时设置过期时间
        Boolean aBoolean = redisTemplate.opsForValue().setIfAbsent("str2", "strTimeoutAbsent", 20, TimeUnit.SECONDS);
        System.out.println("setIfAbsent:" + aBoolean);
    }

    /**
     * 操作hash类型数据
     */
    @Test
    public void operateHash() {
        //添加hash类型数据  key - value
        redisTemplate.opsForHash().put("hash", "username", "admin");
        //修改hash类型数据
        redisTemplate.opsForHash().put("hash", "username", "tom");
        redisTemplate.opsForHash().put("hash", "password", "123456");

        //添加hash类型数据  key - map
        HashMap<String, String> map = new HashMap<>();
        map.put("driverName", "com.mysql.jdbc.Driver");
        map.put("url", "jdbc:mysql://localhost:3306/mybatis?serverTimezone=UTC");
        redisTemplate.opsForHash().putAll("hash", map);

        //获取hash类型数据  entries
        Map<Object, Object> hash = redisTemplate.opsForHash().entries("hash");
        hash.forEach((key, value) -> {
            System.out.println(key + "::" + value);
        });

        //获取所有的key
        Set<Object> keys = redisTemplate.opsForHash().keys("hash");
        for (Object key : keys) {
            System.out.println("key:" + key);
        }
        //获取所有value
        List<Object> values = redisTemplate.opsForHash().values("hash");
        values.forEach(value -> System.out.println("value:" + value));

        //删除hash类型数据  删除一个  返回删除的个数
        Long delete = redisTemplate.opsForHash().delete("hash", "username");
        System.out.println("delete = " + delete);

        //删除hash类型数据  删除多个  返回删除的个数
        delete = redisTemplate.opsForHash().delete("hash", "username", "password", "driverName");
        System.out.println("delete = " + delete);

        //删除hash类型数据  删除所有
        Boolean delHash = redisTemplate.delete("hash");
        System.out.println("delHah:" + delHash);

    }

    /**
     * 操作List类型  有序 可重复
     */
    @Test
    public void operateList() {

        //左压栈
        // redisTemplate.opsForList().leftPush("list", "listValue1");
        // redisTemplate.opsForList().leftPush("list", "listValue1");
        // redisTemplate.opsForList().leftPush("list", "listValue2");
        // redisTemplate.opsForList().leftPush("list", "listValue3");

        //右压栈
        redisTemplate.opsForList().rightPush("list", "listValue0");
        redisTemplate.opsForList().rightPush("list", "listValue2");
        redisTemplate.opsForList().rightPush("list", "listValue0");

        //左出栈
        String list1 = redisTemplate.opsForList().leftPop("list");
        System.out.println("leftPop list1 = " + list1);
        //右出栈
        String list2 = redisTemplate.opsForList().rightPop("list");
        System.out.println("rightPop list2 = " + list2);

        //获取所有数据
        List<String> lists = redisTemplate.opsForList().range("list", 0, 		        redisTemplate.opsForList().size("list") - 1);
        lists.forEach(list -> System.out.println(list));


        //设置指定位置的数据
        redisTemplate.opsForList().set("list", 0, "listValue0");
        /**
         * 从存储在键中的列表中删除等于值的元素的第一个计数事件。
         * count> 0：删除等于从左到右移动的值的第一个元素；
         * count< 0：删除等于从右到左移动的值的第一个元素；
         * count = 0：删除等于value的所有元素。
         */
        Long remove = redisTemplate.opsForList().remove("list", -1, "listValue0");
        System.out.println("remove:" + remove);

        //删除指定key的list数据
        Boolean list = redisTemplate.delete("list");
        System.out.println("list集合删除成功:" + list);
    }

    /**
     * 操作Set类型  无序 不可重复
     */
    @Test
    public void operateSet() {

        //设置set值
        redisTemplate.opsForSet().add("set", "setValue0");
        redisTemplate.opsForSet().add("set", "setValue0");
        redisTemplate.opsForSet().add("set", "setValue1");

        //判定是否包含
        Boolean member = redisTemplate.opsForSet().isMember("set", "setValue0");
        System.out.println("isMember:" + member);

        //删除set中的值
        Long remove = redisTemplate.opsForSet().remove("set", "setValue0");
        System.out.println("remove = " + remove);

        //获取set类型值
        Set<String> set = redisTemplate.opsForSet().members("set");
        set.forEach(str -> {
            System.out.println("str = " + str);
        });
    }

    /**
     * 操作 ZSet  有序 不可重复
     */
    @Test
    public void operateZSet() {
        //存储值
        Boolean add = redisTemplate.opsForZSet().add("zset", "zsetValue0", 10);
        System.out.println("add = " + add);
        System.out.println("add = " + add);
        add = redisTemplate.opsForZSet().add("zset", "zsetValue2", 2);
        System.out.println("add = " + add);
        //获取值
        // Boolean zset = redisTemplate.delete("zset");
        // System.out.println("delete zset = " + zset);
    }
}

Redis工具类的封装

/**
 * Redis 工具类
 * @author mosin
 * date 2021/11/30
 * @version 1.0
 */
@Component
public final class RedisUtil {

    private RedisUtil(){};
    @Autowired
    private RedisTemplate<String,String> redisTemplate;

    //设置值
    public void  setValue(String key,String value){
        redisTemplate.opsForValue().set(key, value);
    }
    // 设置值 同时设置有效时间
    public void setValue(String key, String value, Long timeOut, TimeUnit timeUnit){
        redisTemplate.opsForValue().setIfAbsent(key, value, timeOut, timeUnit);
    }

    //设置值 没有则设置 有则不设置
    public void  setNx(String key,String value){
        redisTemplate.opsForValue().setIfAbsent(key, value);
    }

    //设置值 没有则设置 同时设置有效时间 有则不设置
    public void  setNx(String key,String value,long timeOut,TimeUnit timeUnit){
        redisTemplate.opsForValue().setIfAbsent(key, value,timeOut,timeUnit);
    }

    //删除值
    public boolean del(String key){
        return redisTemplate.delete(key);
    }
    
     //获取值
    public String getValue(String key){
        return  redisTemplate.opsForValue().get(key);
    }
}

业务实践（redis存储token，实现非法请求拦截）

1.编写拦截器

2.配置拦截器

3.编写统一返回数据格式类

4.编写控制器

@Controller
@RequestMapping("/user")
public class UserController {
    @Autowired
    private UserService userService;
    @Autowired
    private RedisUtil redisUtil;
    @ResponseBody
    @RequestMapping("/login")
    public Object login(User user) throws JsonProcessingException {
        User usr = User.builder().id(1).name("admin").password("123456").build();
        //获取token  放入redis
        String token = UUID.randomUUID().toString().replace("-", "");
        //将user 转为json格式放入 redis
        ObjectMapper objectMapper = new ObjectMapper();
        String s1 = objectMapper.writeValueAsString(usr);
        //将 token 和用户信息存入 redis
        redisUtil.setValue(token, s1, 2L, TimeUnit.MINUTES);
        //将token 存入map集合返回
        HashMap<String, String> map = new HashMap<>();
        map.put("token", token);
        return map;
    }

    @ResponseBody
    @RequestMapping("/register")
    public Object register(User user){
        HashMap<String, String> map = new HashMap<>();
        map.put("msg", "ok");
        return map;
    }

    @ResponseBody
    @RequestMapping("/add")
    public Object add(User user){
        HashMap<String, String> map = new HashMap<>();
        map.put("msg", "ok");
        return map;
    }
}

5.编写业务类和Mapper接口

6.使用postman接口测试工具测试接口

springBoot实现上传下载

1.编写控制器

/**
 * 文件上传下载控制类
 * @author mosin
 * date 2021/12/1
 * @version 1.0
 */
@Controller
@RequestMapping("/file")
public class FileController {

    @RequestMapping("/toupload")
    public String toUpload(){ //跳转上传页
        return "upload";
    }

    @RequestMapping("/upload")
    public Object fileUpload(MultipartFile file, Model model){
        if( !file.isEmpty()){
            String originalFilename = file.getOriginalFilename();
            String uuid = UUID.randomUUID().toString().replace("-", "");
            String suffix = originalFilename.substring(originalFilename.lastIndexOf("."));
            String fileName = uuid+suffix;
            File f = new File("D:\\upload",fileName);
            try {
                file.transferTo(f);
                model.addAttribute("downloadName", fileName);
                model.addAttribute("originalFilename", originalFilename);
            } catch (IOException e) {
                e.printStackTrace();
            }
        }
        return "download";
    }

    @RequestMapping("/download")
    @ResponseBody
    public Object fileDownLoad(String fileName, HttpServletResponse response){
        HashMap<String, String> map = new HashMap<>();
        try {
            FileInputStream fis= new FileInputStream(new File("D:\\upload", fileName));
            //设置以附件形式输出
           response.setHeader("Content-disposition", "attachment; filename="+fileName);
            //获取输出流
            ServletOutputStream outputStream = response.getOutputStream();
            //org.springframework.util.FileCopyUtils  工具类
            FileCopyUtils.copy(fis, outputStream);
            map.put("msg", "上传成功!");
        } catch (Exception e) {
            e.printStackTrace();
            map.put("msg", "上传失败!");
        }
        return map ;
    }
}

2.编写上传页面

3.编写下载页面

设置上传文件大小限制

RedisTemplate及其相关方法

1.RedisTemplate

2.Redis5种数据结构操作

redisTemplate.opsForValue(); //操作字符串
redisTemplate.opsForHash(); //操作hash
redisTemplate.opsForList(); //操作list
redisTemplate.opsForSet(); //操作set
redisTemplate.opsForZSet(); //操作有序set

或者：

redistempalate.boundValueOps
redistempalate.boundSetOps
redistempalate.boundListOps
redistempalate.boundHashOps
redistempalate.boundZSetOps

opsForXXX和boundXXXOps的区别：XXX为value的类型，前者获取一个operator，但是没有指定操作的对象（key），可以在一个连接（事务）内操作多个key以及对应的value；后者获取了一个指定操作对象（key）的operator，在一个连接（事务）内只能操作这个key对应的value。

SpringBootTest 实现Redis数据库增删改查

/**
 * 使用RedisTemplate 操作Redis数据的不同数据类型
 */
@SpringBootTest
public class Springbootday03ApplicationTests {
    @Autowired
    private RedisTemplate<String, String> redisTemplate;

    /**
     * String 类型数据操作
     */
    @Test
    public void operateString() {

        //添加值
        redisTemplate.opsForValue().set("str", "strValue1");

        //添加值  判定是否存在 存在则不添加
        Boolean aBoolean = redisTemplate.opsForValue().setIfAbsent("str", "strAbsent");
        System.out.println("str设置成功:" + aBoolean);

        //获取值
        String str = redisTemplate.opsForValue().get("str");
        System.out.println("str = " + str);

        //更新值
        redisTemplate.opsForValue().set("str", "strValue2");
        str = redisTemplate.opsForValue().get("str");
        System.out.println("newStr = " + str);

        //删除值
        Boolean b = redisTemplate.delete("str");
        System.out.println("str删除成功：" + b);

    }

    /**
     * 操作string类型数据  设置过期时间
     */
    @Test
    public void operateString2() {
        redisTemplate.opsForValue().set("str", "strTimeout", 10, TimeUnit.SECONDS);
        //判定值是否存在 不存在则设置值 同时设置过期时间
        Boolean aBoolean = redisTemplate.opsForValue().setIfAbsent("str2", "strTimeoutAbsent", 20, TimeUnit.SECONDS);
        System.out.println("setIfAbsent:" + aBoolean);
    }

    /**
     * 操作hash类型数据
     */
    @Test
    public void operateHash() {
        //添加hash类型数据  key - value
        redisTemplate.opsForHash().put("hash", "username", "admin");
        //修改hash类型数据
        redisTemplate.opsForHash().put("hash", "username", "tom");
        redisTemplate.opsForHash().put("hash", "password", "123456");

        //添加hash类型数据  key - map
        HashMap<String, String> map = new HashMap<>();
        map.put("driverName", "com.mysql.jdbc.Driver");
        map.put("url", "jdbc:mysql://localhost:3306/mybatis?serverTimezone=UTC");
        redisTemplate.opsForHash().putAll("hash", map);

        //获取hash类型数据  entries
        Map<Object, Object> hash = redisTemplate.opsForHash().entries("hash");
        hash.forEach((key, value) -> {
            System.out.println(key + "::" + value);
        });

        //获取所有的key
        Set<Object> keys = redisTemplate.opsForHash().keys("hash");
        for (Object key : keys) {
            System.out.println("key:" + key);
        }
        //获取所有value
        List<Object> values = redisTemplate.opsForHash().values("hash");
        values.forEach(value -> System.out.println("value:" + value));

        //删除hash类型数据  删除一个  返回删除的个数
        Long delete = redisTemplate.opsForHash().delete("hash", "username");
        System.out.println("delete = " + delete);

        //删除hash类型数据  删除多个  返回删除的个数
        delete = redisTemplate.opsForHash().delete("hash", "username", "password", "driverName");
        System.out.println("delete = " + delete);

        //删除hash类型数据  删除所有
        Boolean delHash = redisTemplate.delete("hash");
        System.out.println("delHah:" + delHash);

    }

    /**
     * 操作List类型  有序 可重复
     */
    @Test
    public void operateList() {

        //左压栈
        // redisTemplate.opsForList().leftPush("list", "listValue1");
        // redisTemplate.opsForList().leftPush("list", "listValue1");
        // redisTemplate.opsForList().leftPush("list", "listValue2");
        // redisTemplate.opsForList().leftPush("list", "listValue3");

        //右压栈
        redisTemplate.opsForList().rightPush("list", "listValue0");
        redisTemplate.opsForList().rightPush("list", "listValue2");
        redisTemplate.opsForList().rightPush("list", "listValue0");

        //左出栈
        String list1 = redisTemplate.opsForList().leftPop("list");
        System.out.println("leftPop list1 = " + list1);
        //右出栈
        String list2 = redisTemplate.opsForList().rightPop("list");
        System.out.println("rightPop list2 = " + list2);

        //获取所有数据
        List<String> lists = redisTemplate.opsForList().range("list", 0, 		        redisTemplate.opsForList().size("list") - 1);
        lists.forEach(list -> System.out.println(list));


        //设置指定位置的数据
        redisTemplate.opsForList().set("list", 0, "listValue0");
        /**
         * 从存储在键中的列表中删除等于值的元素的第一个计数事件。
         * count> 0：删除等于从左到右移动的值的第一个元素；
         * count< 0：删除等于从右到左移动的值的第一个元素；
         * count = 0：删除等于value的所有元素。
         */
        Long remove = redisTemplate.opsForList().remove("list", -1, "listValue0");
        System.out.println("remove:" + remove);

        //删除指定key的list数据
        Boolean list = redisTemplate.delete("list");
        System.out.println("list集合删除成功:" + list);
    }

    /**
     * 操作Set类型  无序 不可重复
     */
    @Test
    public void operateSet() {

        //设置set值
        redisTemplate.opsForSet().add("set", "setValue0");
        redisTemplate.opsForSet().add("set", "setValue0");
        redisTemplate.opsForSet().add("set", "setValue1");

        //判定是否包含
        Boolean member = redisTemplate.opsForSet().isMember("set", "setValue0");
        System.out.println("isMember:" + member);

        //删除set中的值
        Long remove = redisTemplate.opsForSet().remove("set", "setValue0");
        System.out.println("remove = " + remove);

        //获取set类型值
        Set<String> set = redisTemplate.opsForSet().members("set");
        set.forEach(str -> {
            System.out.println("str = " + str);
        });
    }

    /**
     * 操作 ZSet  有序 不可重复
     */
    @Test
    public void operateZSet() {
        //存储值
        Boolean add = redisTemplate.opsForZSet().add("zset", "zsetValue0", 10);
        System.out.println("add = " + add);
        System.out.println("add = " + add);
        add = redisTemplate.opsForZSet().add("zset", "zsetValue2", 2);
        System.out.println("add = " + add);
        //获取值
        // Boolean zset = redisTemplate.delete("zset");
        // System.out.println("delete zset = " + zset);
    }
}

Redis工具类的封装

/**
 * Redis 工具类
 * @author mosin
 * date 2021/11/30
 * @version 1.0
 */
@Component
public final class RedisUtil {

    private RedisUtil(){};
    @Autowired
    private RedisTemplate<String,String> redisTemplate;

    //设置值
    public void  setValue(String key,String value){
        redisTemplate.opsForValue().set(key, value);
    }
    // 设置值 同时设置有效时间
    public void setValue(String key, String value, Long timeOut, TimeUnit timeUnit){
        redisTemplate.opsForValue().setIfAbsent(key, value, timeOut, timeUnit);
    }

    //设置值 没有则设置 有则不设置
    public void  setNx(String key,String value){
        redisTemplate.opsForValue().setIfAbsent(key, value);
    }

    //设置值 没有则设置 同时设置有效时间 有则不设置
    public void  setNx(String key,String value,long timeOut,TimeUnit timeUnit){
        redisTemplate.opsForValue().setIfAbsent(key, value,timeOut,timeUnit);
    }

    //删除值
    public boolean del(String key){
        return redisTemplate.delete(key);
    }
    
     //获取值
    public String getValue(String key){
        return  redisTemplate.opsForValue().get(key);
    }
}

业务实践（redis存储token，实现非法请求拦截）

1.编写拦截器

@Component
public class AdminInterceptor implements HandlerInterceptor {
    @Autowired
    private RedisUtil redisUtil;
    @Override
    public boolean preHandle(HttpServletRequest request, HttpServletResponse response, Object handler) throws Exception {
        System.out.println("拦截器以拦截请求");
        //从请求头中获取token  验证用户是否登录
        String token = request.getHeader("token");
        System.out.println(token);
        String tokenValue = redisUtil.getValue(token);
        System.out.println("tokenValue = " + tokenValue);
        if(tokenValue!=null){ //用户已登录 放行请求
            return  true;
        }else{//重定向到登录页面
            response.sendRedirect(request.getContextPath()+"/login.jsp");
            return false;
        }
    }
}

2.配置拦截器

3.编写统一返回数据格式类

4.编写控制器

@Controller
@RequestMapping("/user")
public class UserController {
    @Autowired
    private UserService userService;
    @Autowired
    private RedisUtil redisUtil;
    @ResponseBody
    @RequestMapping("/login")
    public Object login(User user) throws JsonProcessingException {
        User usr = User.builder().id(1).name("admin").password("123456").build();
        //获取token  放入redis
        String token = UUID.randomUUID().toString().replace("-", "");
        //将user 转为json格式放入 redis
        ObjectMapper objectMapper = new ObjectMapper();
        String s1 = objectMapper.writeValueAsString(usr);
        //将 token 和用户信息存入 redis
        redisUtil.setValue(token, s1, 2L, TimeUnit.MINUTES);
        //将token 存入map集合返回
        HashMap<String, String> map = new HashMap<>();
        map.put("token", token);
        return map;
    }

    @ResponseBody
    @RequestMapping("/register")
    public Object register(User user){
        HashMap<String, String> map = new HashMap<>();
        map.put("msg", "ok");
        return map;
    }

    @ResponseBody
    @RequestMapping("/add")
    public Object add(User user){
        HashMap<String, String> map = new HashMap<>();
        map.put("msg", "ok");
        return map;
    }
}

5.编写业务类和Mapper接口

6.使用postman接口测试工具测试接口

springBoot实现上传下载

1.编写控制器

/**
 * 文件上传下载控制类
 * @author mosin
 * date 2021/12/1
 * @version 1.0
 */
@Controller
@RequestMapping("/file")
public class FileController {

    @RequestMapping("/toupload")
    public String toUpload(){ //跳转上传页
        return "upload";
    }

    @RequestMapping("/upload")
    public Object fileUpload(MultipartFile file, Model model){
        if( !file.isEmpty()){
            String originalFilename = file.getOriginalFilename();
            String uuid = UUID.randomUUID().toString().replace("-", "");
            String suffix = originalFilename.substring(originalFilename.lastIndexOf("."));
            String fileName = uuid+suffix;
            File f = new File("D:\\upload",fileName);
            try {
                file.transferTo(f);
                model.addAttribute("downloadName", fileName);
                model.addAttribute("originalFilename", originalFilename);
            } catch (IOException e) {
                e.printStackTrace();
            }
        }
        return "download";
    }

    @RequestMapping("/download")
    @ResponseBody
    public Object fileDownLoad(String fileName, HttpServletResponse response){
        HashMap<String, String> map = new HashMap<>();
        try {
            FileInputStream fis= new FileInputStream(new File("D:\\upload", fileName));
            //设置以附件形式输出
           response.setHeader("Content-disposition", "attachment; filename="+fileName);
            //获取输出流
            ServletOutputStream outputStream = response.getOutputStream();
            //org.springframework.util.FileCopyUtils  工具类
            FileCopyUtils.copy(fis, outputStream);
            map.put("msg", "上传成功!");
        } catch (Exception e) {
            e.printStackTrace();
            map.put("msg", "上传失败!");
        }
        return map ;
    }
}

2.编写上传页面

3.编写下载页面

设置上传文件大小限制

springBoot CORS（跨域资源共享）

CORS是一个W3C标准，全称是"跨域资源共享"（Cross-origin resource sharing）。它允许浏览器向跨源服务器，发出XMLHttpRequest请求，从而克服了AJAX只能同源使用的限制。

什么是同源策略？ 同源策略是浏览器的一个安全功能，不同源的客户端脚本在没有明确授权的情况下，不能读写对方资源。所以a.com下的js脚本采用ajax读取b.com里面的文件数据是会报错的。

先来说说什么是源 • 源（origin）就是协议、域名和端口号。若地址里面的协议、域名和端口号均相同则属于同源。以下是相对于 http:// www.a.com/test/index.html 的同源检测 http://www.a.com/dir/page.html ----成功 http://www.child.a.com/test/index.html ----失败，域名不同 https://www.a.com/test/index.html ----失败，协议不同 http://www.a.com:8080/test/index.html ----失败，端口号不同

哪些操作不受同源限制

1.script

2.link

3.img

4.form

5.a

哪些操作受同源的限制

1.ajax

解决方案：

1.局部解决跨域

使用注解@CrossOrigin（局部跨域）

2.全局解决跨域

配置类解决跨域（全局跨域）

import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.web.cors.CorsConfiguration;
import org.springframework.web.cors.UrlBasedCorsConfigurationSource;
import org.springframework.web.filter.CorsFilter;

import java.util.ArrayList;
import java.util.List;

@Configuration
public class CorsConfig {
    private CorsConfiguration buildConfig() {
        CorsConfiguration corsConfiguration = new CorsConfiguration();
        corsConfiguration.setAllowCredentials(true); //sessionid 多次访问一致
        // 允许访问的客户端域名
        List<String> allowedOriginPatterns = new ArrayList<>();
        allowedOriginPatterns.add("*");
        corsConfiguration.setAllowedOriginPatterns(allowedOriginPatterns);
        corsConfiguration.addAllowedHeader("*"); // 允许任何头
        corsConfiguration.addAllowedMethod("*"); // 允许任何方法（post、get等）
        return corsConfiguration;
    }
    @Bean
    public CorsFilter corsFilter() {
        UrlBasedCorsConfigurationSource source = new UrlBasedCorsConfigurationSource();
        source.registerCorsConfiguration("/**", buildConfig()); // 对接口配置跨域设置
        return new CorsFilter(source);
    }
}


方式2：
    
@Configuration
public class MyWebMvcConfig implements WebMvcConfigurer {
    @Override
    public void addCorsMappings(CorsRegistry registry) {
        registry.addMapping("/**")
                .allowedOrigins("*")
                .allowedMethods("*")
                .allowedHeaders("*");
    }
}

springBoot聚合工程

多模块聚合工程：按照MVC的思想，将应用分成三层web、service、mapper/dao这三个主要模块，在实际的开发过程中可能会根据实际的业务将聚合工程分成如下的形式:

common：通用工具类模块，专门用于项目中使用的一些工具类。
entity：实体类模块，专门存放实体类对象，例如：DTO、BO、AO、VO等等对象。
mapper：dao接口模块，专门存放操作数据库的dao接口。
service：业务逻辑模块，专门进行业务逻辑的处理。
web：控制器模块，用于页面请求控制模块。

搭建聚合工程步骤如下：

（1）IDEA创建maven工程

通过IDEA创建一个maven的quickstart类型项目，然后删除里面的src目录，保留pom.xml文件即可，如下图所示

（2）修改pom依赖，修改父工程项目中的pom.xml文件，添加【springboot】依赖。

（3）创建common子模块

In the pop-up interface, select the [quickstart] type of project, and then fill in the sub-project information in the next step

In the subproject, delete the redundant [test] directory and [App] startup class, modify the pom file, delete redundant content, and add parent project dependencies

Follow the above steps to complete the creation of subsequent submodules. The web module can create a webapp project to form the following directory structure

Unified dependency management

Through the previous steps, we have built both the parent project and the child project, and introduced the [springboot] parent project dependency. Here, in order to facilitate the management of the dependencies of each sub-project and other third-party dependencies, we can choose to uniformly define the dependency version in the [pom] file in the parent project.

In the pom file of the subproject [-web], add the [web] dependency and create the [Application] startup class.

Create the [Application] startup class.

Create the [src/main/resources] directory and add the [application.yml] configuration file

Create [HelloController] test class

Start the project, open the browser, and access the test path

At this point, the SpringBoot aggregation project has been created and access can be started. Although the above sub-projects have been created, there is no dependency relationship between each sub-project. Now we will associate these sub-projects with dependencies.

web----->service (----> indicates dependency)

service----->mapper，app-common

mapper----->entity

Add the above dependencies to each sub-project in turn