SpringBoot整合Redis
这里对SpringBoot整合Redis进行一下整合,数据库采用的是Mysql,使用Java持久层API进行管理,也就是JPA
直接上代码了
pom.xml
<dependencies>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-web</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-test</artifactId>
<scope>test</scope>
<exclusions>
<exclusion>
<groupId>org.junit.vintage</groupId>
<artifactId>junit-vintage-engine</artifactId>
</exclusion>
</exclusions>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-data-jdbc</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-data-jpa</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-jdbc</artifactId>
</dependency>
<dependency>
<groupId>mysql</groupId>
<artifactId>mysql-connector-java</artifactId>
<scope>runtime</scope>
</dependency>
<!-- druid数据库连接池-->
<dependency>
<groupId>com.alibaba</groupId>
<artifactId>druid</artifactId>
<version>1.1.10</version>
</dependency>
<!--lombok依赖-->
<dependency>
<groupId>org.projectlombok</groupId>
<artifactId>lombok</artifactId>
<optional>true</optional>
</dependency>
<!-- Spring Data Redis依赖启动器 -->
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-data-redis</artifactId>
</dependency>
<dependency>
<groupId>redis.clients</groupId>
<artifactId>jedis</artifactId>
<version>3.3.0</version>
</dependency>
<dependency>
<groupId>com.vaadin.external.google</groupId>
<artifactId>android-json</artifactId>
<version>0.0.20131108.vaadin1</version>
<scope>compile</scope>
</dependency>
<dependency>
<groupId>com.vaadin.external.google</groupId>
<artifactId>android-json</artifactId>
<version>0.0.20131108.vaadin1</version>
<scope>compile</scope>
</dependency>
<dependency>
<groupId>net.minidev</groupId>
<artifactId>json-smart</artifactId>
</dependency>
<dependency>
<groupId>org.json</groupId>
<artifactId>json</artifactId>
<version>20200518</version>
</dependency>
</dependencies>
application.yml
server: port: 8080 spring: datasource: url: jdbc:mysql://localhost:3306/test?useUnicode=true&characterEncoding=UTF-8&allowMultiQueries=true&serverTimezone=UTC driver-class-name: com.mysql.jdbc.Driver username: root password: root jpa: hibernate: ddl-auto: update show-sql: true redis: host: 192.168.1.3 port: 6379 password: jedis: pool: max-active: 200 max-wait: 1 max-idle: 10 min-idle: 0 timeout: 1000 database: 0
这里新建一个包,config
RedisConfig.java
package com.along.jpa_user.config; 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.Jackson2JsonRedisSerializer; import org.springframework.data.redis.serializer.StringRedisSerializer; import com.fasterxml.jackson.annotation.JsonAutoDetect; import com.fasterxml.jackson.annotation.PropertyAccessor; import com.fasterxml.jackson.databind.ObjectMapper; @Configuration public class RedisConfig { @Bean @SuppressWarnings("all") public RedisTemplate<String, Object> redisTemplate(RedisConnectionFactory factory) { // 创建RedisTemplate<String, Object>对象 RedisTemplate<String, Object> template = new RedisTemplate<>(); // 配置连接工厂 template.setConnectionFactory(factory); // 定义Jackson2JsonRedisSerializer序列化对象 Jackson2JsonRedisSerializer<Object> jacksonSeial = new Jackson2JsonRedisSerializer<>(Object.class); ObjectMapper om = new ObjectMapper(); // 指定要序列化的域,field,get和set,以及修饰符范围,ANY是都有包括private和public om.setVisibility(PropertyAccessor.ALL, JsonAutoDetect.Visibility.ANY); // 指定序列化输入的类型,类必须是非final修饰的,final修饰的类,比如String,Integer等会报异常 om.enableDefaultTyping(ObjectMapper.DefaultTyping.NON_FINAL); jacksonSeial.setObjectMapper(om); StringRedisSerializer stringSerial = new StringRedisSerializer(); // redis key 序列化方式使用stringSerial template.setKeySerializer(stringSerial); // redis value 序列化方式使用jackson template.setValueSerializer(jacksonSeial); // redis hash key 序列化方式使用stringSerial template.setHashKeySerializer(stringSerial); // redis hash value 序列化方式使用jackson template.setHashValueSerializer(jacksonSeial); template.afterPropertiesSet(); return template; } }
RedisAutoConfiguration.java
package com.along.jpa_user.config; import java.net.UnknownHostException; import org.springframework.boot.autoconfigure.condition.ConditionalOnClass; import org.springframework.boot.autoconfigure.condition.ConditionalOnMissingBean; import org.springframework.boot.autoconfigure.data.redis.RedisProperties; import org.springframework.boot.context.properties.EnableConfigurationProperties; 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.RedisOperations; import org.springframework.data.redis.core.RedisTemplate; import org.springframework.data.redis.core.StringRedisTemplate; import org.springframework.data.redis.connection.jedis.JedisConnectionFactory; @Configuration @ConditionalOnClass(RedisOperations.class) @EnableConfigurationProperties(RedisProperties.class) //@Import({ LettuceConnectionConfiguration.class, JedisConnectionFactory.class }) public class RedisAutoConfiguration { // @Bean // @ConditionalOnMissingBean(name = "redisTemplate") // public RedisTemplate<Object, Object> redisTemplate(RedisConnectionFactory redisConnectionFactory) throws UnknownHostException { // RedisTemplate<Object, Object> template = new RedisTemplate<>(); // template.setConnectionFactory(redisConnectionFactory); // return template; // } @Bean @ConditionalOnMissingBean public StringRedisTemplate stringRedisTemplate(RedisConnectionFactory redisConnectionFactory) throws UnknownHostException { StringRedisTemplate template = new StringRedisTemplate(); template.setConnectionFactory(redisConnectionFactory); return template; } @Bean public JedisConnectionFactory jedisConnFactory() { JedisConnectionFactory jedis = new JedisConnectionFactory(); jedis.setUsePool(true); return jedis; } }
再建一个util包
RedisUtil.java
package com.along.jpa_user.util; import java.util.List; import java.util.Map; import java.util.Set; import java.util.concurrent.TimeUnit; import org.springframework.beans.factory.annotation.Autowired; import org.springframework.data.redis.core.RedisTemplate; import org.springframework.stereotype.Component; import org.springframework.util.CollectionUtils; @Component public final class RedisUtil { /** *框架提供 */ @Autowired private RedisTemplate<String, Object> redisTemplate; /** * 指定缓存失效时间 * @param key 键 * @param time 时间(秒) * @return */ public boolean expire(String key, long time) { try { if (time > 0) { redisTemplate.expire(key, time, TimeUnit.SECONDS); } return true; } catch (Exception e) { e.printStackTrace(); return false; } } /** * 根据key 获取过期时间 * @param key 键 不能为null * @return 时间(秒) 返回0代表为永久有效 */ public long getExpire(String key) { return redisTemplate.getExpire(key, TimeUnit.SECONDS); } /** * 判断key是否存在 * @param key 键 * @return true 存在 false不存在 */ public boolean hasKey(String key) { try { return redisTemplate.hasKey(key); } catch (Exception e) { e.printStackTrace(); return false; } } /** * 删除缓存 * @param key 可以传一个值 或多个 */ @SuppressWarnings("unchecked") public void del(String... key) { if (key != null && key.length > 0) { if (key.length == 1) { redisTemplate.delete(key[0]); } else { redisTemplate.delete(CollectionUtils.arrayToList(key)); } } } /** * 普通缓存获取 * @param key 键 * @return 值 */ public Object get(String key) { return key == null ? null : redisTemplate.opsForValue().get(key); } /** * 普通缓存放入 * @param key 键 * @param value 值 * @return true成功 false失败 */ public boolean set(String key, Object value) { try { redisTemplate.opsForValue().set(key, value); return true; } catch (Exception e) { e.printStackTrace(); return false; } } /** * 普通缓存放入并设置时间 * @param key 键 * @param value 值 * @param time 时间(秒) time要大于0 如果time小于等于0 将设置无限期 * @return true成功 false 失败 */ public boolean set(String key, Object value, long time) { try { if (time > 0) { redisTemplate.opsForValue().set(key, value, time, TimeUnit.SECONDS); } else { set(key, value); } return true; } catch (Exception e) { e.printStackTrace(); return false; } } /** * 递增 * @param key 键 * @param delta 要增加几(大于0) * @return */ public long incr(String key, long delta) { if (delta < 0) { throw new RuntimeException("递增因子必须大于0"); } return redisTemplate.opsForValue().increment(key, delta); } /** * 递减 * @param key 键 * @param delta 要减少几(小于0) * @return */ public long decr(String key, long delta) { if (delta < 0) { throw new RuntimeException("递减因子必须大于0"); } return redisTemplate.opsForValue().increment(key, -delta); } /** * HashGet * @param key 键 不能为null * @param item 项 不能为null * @return 值 */ public Object hget(String key, String item) { return redisTemplate.opsForHash().get(key, item); } /** * 获取hashKey对应的所有键值 * @param key 键 * @return 对应的多个键值 */ public Map<Object, Object> hmget(String key) { return redisTemplate.opsForHash().entries(key); } /** * HashSet * @param key 键 * @param map 对应多个键值 * @return true 成功 false 失败 */ public boolean hmset(String key, Map<String, Object> map) { try { redisTemplate.opsForHash().putAll(key, map); return true; } catch (Exception e) { e.printStackTrace(); return false; } } /** * HashSet 并设置时间 * @param key 键 * @param map 对应多个键值 * @param time 时间(秒) * @return true成功 false失败 */ public boolean hmset(String key, Map<String, Object> map, long time) { try { redisTemplate.opsForHash().putAll(key, map); if (time > 0) { expire(key, time); } return true; } catch (Exception e) { e.printStackTrace(); return false; } } /** * 向一张hash表中放入数据,如果不存在将创建 * @param key 键 * @param item 项 * @param value 值 * @return true 成功 false失败 */ public boolean hset(String key, String item, Object value) { try { redisTemplate.opsForHash().put(key, item, value); return true; } catch (Exception e) { e.printStackTrace(); return false; } } /** * 向一张hash表中放入数据,如果不存在将创建 * @param key 键 * @param item 项 * @param value 值 * @param time 时间(秒) 注意:如果已存在的hash表有时间,这里将会替换原有的时间 * @return true 成功 false失败 */ public boolean hset(String key, String item, Object value, long time) { try { redisTemplate.opsForHash().put(key, item, value); if (time > 0) { expire(key, time); } return true; } catch (Exception e) { e.printStackTrace(); return false; } } /** * 删除hash表中的值 * @param key 键 不能为null * @param item 项 可以使多个 不能为null */ public void hdel(String key, Object... item) { redisTemplate.opsForHash().delete(key, item); } /** * 判断hash表中是否有该项的值 * @param key 键 不能为null * @param item 项 不能为null * @return true 存在 false不存在 */ public boolean hHasKey(String key, String item) { return redisTemplate.opsForHash().hasKey(key, item); } /** * hash递增 如果不存在,就会创建一个 并把新增后的值返回 * @param key 键 * @param item 项 * @param by 要增加几(大于0) * @return */ public double hincr(String key, String item, double by) { return redisTemplate.opsForHash().increment(key, item, by); } /** * hash递减 * @param key 键 * @param item 项 * @param by 要减少记(小于0) * @return */ public double hdecr(String key, String item, double by) { return redisTemplate.opsForHash().increment(key, item, -by); } /** * 根据key获取Set中的所有值 * @param key 键 * @return */ public Set<Object> sGet(String key) { try { return redisTemplate.opsForSet().members(key); } catch (Exception e) { e.printStackTrace(); return null; } } /** * 根据value从一个set中查询,是否存在 * @param key 键 * @param value 值 * @return true 存在 false不存在 */ public boolean sHasKey(String key, Object value) { try { return redisTemplate.opsForSet().isMember(key, value); } catch (Exception e) { e.printStackTrace(); return false; } } /** * 将数据放入set缓存 * @param key 键 * @param values 值 可以是多个 * @return 成功个数 */ public long sSet(String key, Object... values) { try { return redisTemplate.opsForSet().add(key, values); } catch (Exception e) { e.printStackTrace(); return 0; } } /** * 将set数据放入缓存 * @param key 键 * @param time 时间(秒) * @param values 值 可以是多个 * @return 成功个数 */ public long sSetAndTime(String key, long time, Object... values) { try { Long count = redisTemplate.opsForSet().add(key, values); if (time > 0) expire(key, time); return count; } catch (Exception e) { e.printStackTrace(); return 0; } } /** * 获取set缓存的长度 * @param key 键 * @return */ public long sGetSetSize(String key) { try { return redisTemplate.opsForSet().size(key); } catch (Exception e) { e.printStackTrace(); return 0; } } /** * 移除值为value的 * @param key 键 * @param values 值 可以是多个 * @return 移除的个数 */ public long setRemove(String key, Object... values) { try { Long count = redisTemplate.opsForSet().remove(key, values); return count; } catch (Exception e) { e.printStackTrace(); return 0; } } /** * 获取list缓存的内容 * @param key 键 * @param start 开始 * @param end 结束 0 到 -1代表所有值 * @return */ public List<Object> lGet(String key, long start, long end) { try { return redisTemplate.opsForList().range(key, start, end); } catch (Exception e) { e.printStackTrace(); return null; } } /** * 获取list缓存的长度 * @param key 键 * @return */ public long lGetListSize(String key) { try { return redisTemplate.opsForList().size(key); } catch (Exception e) { e.printStackTrace(); return 0; } } /** * 通过索引 获取list中的值 * @param key 键 * @param index 索引 index>=0时, 0 表头,1 第二个元素,依次类推;index<0时,-1,表尾,-2倒数第二个元素,依次类推 * @return */ public Object lGetIndex(String key, long index) { try { return redisTemplate.opsForList().index(key, index); } catch (Exception e) { e.printStackTrace(); return null; } } /** * 将list放入缓存 * @param key 键 * @param value 值 // * @param time 时间(秒) * @return */ public boolean lSet(String key, Object value) { try { redisTemplate.opsForList().rightPush(key, value); return true; } catch (Exception e) { e.printStackTrace(); return false; } } /** * 将list放入缓存 * @param key 键 * @param value 值 * @param time 时间(秒) * @return */ public boolean lSet(String key, Object value, long time) { try { redisTemplate.opsForList().rightPush(key, value); if (time > 0) expire(key, time); return true; } catch (Exception e) { e.printStackTrace(); return false; } } /** * 将list放入缓存 * @param key 键 * @param value 值 // * @param time 时间(秒) * @return */ public boolean lSet(String key, List<Object> value) { try { redisTemplate.opsForList().rightPushAll(key, value); return true; } catch (Exception e) { e.printStackTrace(); return false; } } /** * 将list放入缓存 * @param key 键 * @param value 值 * @param time 时间(秒) * @return */ public boolean lSet(String key, List<Object> value, long time) { try { redisTemplate.opsForList().rightPushAll(key, value); if (time > 0) expire(key, time); return true; } catch (Exception e) { e.printStackTrace(); return false; } } /** * 根据索引修改list中的某条数据 * @param key 键 * @param index 索引 * @param value 值 * @return */ public boolean lUpdateIndex(String key, long index, Object value) { try { redisTemplate.opsForList().set(key, index, value); return true; } catch (Exception e) { e.printStackTrace(); return false; } } /** * 移除N个值为value * @param key 键 * @param count 移除多少个 * @param value 值 * @return 移除的个数 */ public long lRemove(String key, long count, Object value) { try { Long remove = redisTemplate.opsForList().remove(key, count, value); return remove; } catch (Exception e) { e.printStackTrace(); return 0; } } }
实体entity
User.java
package com.along.jpa_user.entity; import org.springframework.data.redis.core.RedisHash; import javax.persistence.Entity; import javax.persistence.GeneratedValue; import javax.persistence.GenerationType; import javax.persistence.Id; import java.io.Serializable; @Entity(name = "t_user") public class User implements Serializable{ @Id @GeneratedValue(strategy = GenerationType.IDENTITY) private int id; private String name; private int age; public int getId() { return id; } public void setId(int id) { this.id = id; } public String getName() { return name; } public void setName(String name) { this.name = name; } public int getAge() { return age; } public void setAge(int age) { this.age = age; } @Override public String toString() { return "User{" + "id=" + id + ", name='" + name + '\'' + ", age=" + age + '}'; } }
Dao层
UserDao.java
package com.along.jpa_user.dao; import com.along.jpa_user.entity.User; import org.springframework.data.jpa.repository.JpaRepository; import org.springframework.data.jpa.repository.Modifying; import org.springframework.data.jpa.repository.Query; import org.springframework.data.repository.query.Param; import org.springframework.stereotype.Repository; import org.springframework.transaction.annotation.Transactional; import java.util.List; @Repository public interface UserDao extends JpaRepository<User,Integer> { List<User> findAll(); @Modifying @Transactional @Query(value = "insert into t_user(name,age) values (?,?)", nativeQuery = true) int insertUser(@Param("name")String name,@Param("age")int age); @Modifying @Transactional @Query(value = "delete from t_user where id=:id") int deleteById(@Param("id") int id); @Modifying @Transactional @Query(value = "update t_user t set t.name=:name,t.age=:age where t.id=:id") int updateUser(@Param("id") int id,@Param("name") String name,@Param("age") int age); }
在使用Spring Data JPA的时候,通常我们只需要继承JpaRepository就能获得大部分常用的增删改查的方法。
UserServiceImpl.java
package com.along.jpa_user.service.Impl; import com.along.jpa_user.dao.UserDao; import com.along.jpa_user.entity.User; import com.along.jpa_user.service.UserService; import com.along.jpa_user.util.RedisUtil; import org.springframework.beans.factory.annotation.Autowired; import org.springframework.data.redis.core.RedisTemplate; import org.springframework.stereotype.Service; import java.util.List; @Service public class UserServiceImpl implements UserService { @Autowired UserDao userDao; @Autowired RedisUtil redisUtil; @Override public List<User> findAll() { // redisUtil.set("redisAll",userDao.findAll()); // System.out.println(redisUtil.get("redisAll")); redisUtil.get("all"); return userDao.findAll(); } @Override public int insertUser(String name, int age) { return userDao.insertUser(name,age); } @Override public int deleteById(int id) { return userDao.deleteById(id); } @Override public int updateUser(int id, String name, int age) { return userDao.updateUser(id,name,age); } public User save(User user){ return userDao.save(user); } public int delete(int id){ return userDao.deleteById(id); } public User update(User user){ return userDao.save(user); } }
项目运行路径 http://localhost:8080/redisAll


查询到的数据已经成功存储到了Redis中
这里多说两点,在项目中,因为一些小问题,卡了许久
首先是空指针
在调用
RedisUtil redisUtil;
忘了加
@Autowired
而导致的
如果小伙伴们去运行这几个方法的时候
@PostMapping("/save")
public User save(User user){
return userService.save(user);
}
@DeleteMapping("/deleteById")
public String deleteById(int id){
int result=userService.delete(id);
if(result>=1){
return "删除成功";
}else{
return "删除失败";
}
}
@PutMapping("/updateById")
public User updateById(User user){
return userService.update(user);
}
可能会出现500错误
相信大家在碰到错误的时候都会去百度一下,但你会发现你查询不到这个的错误的解释
不要怕,这里下载一个Postman,用这个软件进行测试(没有收取广告费---勿喷)
这是为什么呢

@PostMapping、@PutMapping、@DeleteMapping
是不能在url上进行提交的
有喜欢小编的可以给个关注,谢谢帅哥美女们的支持
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