Foreword: Briefly share my technical sharing on how to use SpringBoot to operate the Redis database in actual development. I have provided the complete code, and you can copy and use it as needed!
Table of contents
Fourth, the core configuration class
1. Import pom dependencies
<dependencies>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-web</artifactId>
</dependency>
<!-- lombok依赖 -->
<dependency>
<groupId>org.projectlombok</groupId>
<artifactId>lombok</artifactId>
<optional>true</optional>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-test</artifactId>
<scope>test</scope>
</dependency>
<!-- redis依赖 对象池 -->
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-data-redis</artifactId>
</dependency>
<!-- pool 对象池 -->
<dependency>
<groupId>org.apache.commons</groupId>
<artifactId>commons-pool2</artifactId>
<version>2.11.1</version>
</dependency>
<!-- 阿里JSON解析器 -->
<dependency>
<groupId>com.alibaba.fastjson2</groupId>
<artifactId>fastjson2</artifactId>
<version>2.0.34</version>
</dependency>
</dependencies>Two, yml configuration file
spring:
redis:
host: localhost
port: 6379
database: 0
password:
timeout: 10s
lettuce:
pool:
min-idle: 0
max-idle: 8
max-active: 8
max-wait: -1ms
3. Use FastJson serialization
This FastJson2JsonRedisSerializer class implements the RedisSerializer interface of Spring Redis, which is used to serialize and deserialize objects using FastJson.
1. In the construction method, the generic class Class<T> is passed in, indicating the type of object that needs to be serialized.
private Class<T> clazz;
public FastJson2JsonRedisSerializer(Class<T> clazz)
{
super();
this.clazz = clazz;
}2. The serialize method implements serialization, converts the object into a JSON string, and converts it into a byte array. Use the JSONWriter.Feature.WriteClassName feature to write the class name during serialization, which is convenient for deserialization.
@Override
public byte[] serialize(T t) throws SerializationException
{
if (t == null)
{
return new byte[0];
}
return JSON.toJSONString(t, JSONWriter.Feature.WriteClassName).getBytes(DEFAULT_CHARSET);
}3. The deserialize method implements deserialization, converts the byte array into a String, and then deserializes it into an object using the parseObject method of FastJson, and uses the JSONReader.Feature.SupportAutoType feature to automatically select the class type during deserialization.
@Override
public T deserialize(byte[] bytes) throws SerializationException
{
if (bytes == null || bytes.length <= 0)
{
return null;
}
String str = new String(bytes, DEFAULT_CHARSET);
return JSON.parseObject(str, clazz, JSONReader.Feature.SupportAutoType);
}Full code:
package com.example.redis.config;
import com.alibaba.fastjson2.JSON;
import com.alibaba.fastjson2.JSONReader;
import com.alibaba.fastjson2.JSONWriter;
import org.springframework.data.redis.serializer.RedisSerializer;
import org.springframework.data.redis.serializer.SerializationException;
import java.nio.charset.Charset;
/**
* Redis使用FastJson序列化
*/
public class FastJson2JsonRedisSerializer<T> implements RedisSerializer<T>
{
public static final Charset DEFAULT_CHARSET = Charset.forName("UTF-8");
private Class<T> clazz;
public FastJson2JsonRedisSerializer(Class<T> clazz)
{
super();
this.clazz = clazz;
}
@Override
public byte[] serialize(T t) throws SerializationException
{
if (t == null)
{
return new byte[0];
}
return JSON.toJSONString(t, JSONWriter.Feature.WriteClassName).getBytes(DEFAULT_CHARSET);
}
@Override
public T deserialize(byte[] bytes) throws SerializationException
{
if (bytes == null || bytes.length <= 0)
{
return null;
}
String str = new String(bytes, DEFAULT_CHARSET);
return JSON.parseObject(str, clazz, JSONReader.Feature.SupportAutoType);
}
}
Fourth, the core configuration class
1. Create a RedisTemplate object.
RedisTemplate<Object, Object> template = new RedisTemplate<>();2. Set up the Redis connection factory.
template.setConnectionFactory(redisConnectionFactory);3. Create a JSON serializer, using FastJson.
FastJson2JsonRedisSerializer serializer = new FastJson2JsonRedisSerializer(Object.class);4. Set the serialization method of Key to StringRedisSerializer.
template.setKeySerializer(new StringRedisSerializer());5. Set the serialization method of Value to the previously created JSON serializer.
template.setValueSerializer(serializer);6. Set the serialization method of Hash type Key.
template.setHashKeySerializer(new StringRedisSerializer());7. Set the serialization method of Hash type Value.
template.setHashValueSerializer(serializer);8. Initialize the template object.
template.afterPropertiesSet();Full code:
package com.example.redis.config;
import org.springframework.cache.annotation.CachingConfigurerSupport;
import org.springframework.cache.annotation.EnableCaching;
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.StringRedisSerializer;
/**
* redis配置
*/
@Configuration
@EnableCaching
public class RedisConfig extends CachingConfigurerSupport
{
@Bean
@SuppressWarnings(value = { "unchecked", "rawtypes" })
public RedisTemplate<Object, Object> redisTemplate(RedisConnectionFactory redisConnectionFactory)
{
RedisTemplate<Object, Object> template = new RedisTemplate<>();
template.setConnectionFactory(redisConnectionFactory);
FastJson2JsonRedisSerializer serializer = new FastJson2JsonRedisSerializer(Object.class);
// 使用StringRedisSerializer来序列化和反序列化redis的key值
template.setKeySerializer(new StringRedisSerializer());
template.setValueSerializer(serializer);
// Hash的key也采用StringRedisSerializer的序列化方式
template.setHashKeySerializer(new StringRedisSerializer());
template.setHashValueSerializer(serializer);
template.afterPropertiesSet();
return template;
}
}
5. Tools
Full code:
package com.example.redis.utils;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.redis.core.BoundSetOperations;
import org.springframework.data.redis.core.HashOperations;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.core.ValueOperations;
import org.springframework.stereotype.Component;
import java.util.*;
import java.util.concurrent.TimeUnit;
/**
* spring redis 工具类
**/
@SuppressWarnings(value = { "unchecked", "rawtypes" })
@Component
public class RedisCache
{
@Autowired
public RedisTemplate redisTemplate;
/**
* 缓存基本的对象，Integer、String、实体类等
*
* @param key 缓存的键值
* @param value 缓存的值
*/
public <T> void setCacheObject(final String key, final T value)
{
redisTemplate.opsForValue().set(key, value);
}
/**
* 缓存基本的对象，Integer、String、实体类等
*
* @param key 缓存的键值
* @param value 缓存的值
* @param timeout 时间
* @param timeUnit 时间颗粒度
*/
public <T> void setCacheObject(final String key, final T value, final Integer timeout, final TimeUnit timeUnit)
{
redisTemplate.opsForValue().set(key, value, timeout, timeUnit);
}
/**
* 设置有效时间
*
* @param key Redis键
* @param timeout 超时时间
* @return true=设置成功；false=设置失败
*/
public boolean expire(final String key, final long timeout)
{
return expire(key, timeout, TimeUnit.SECONDS);
}
/**
* 设置有效时间
*
* @param key Redis键
* @param timeout 超时时间
* @param unit 时间单位
* @return true=设置成功；false=设置失败
*/
public boolean expire(final String key, final long timeout, final TimeUnit unit)
{
return redisTemplate.expire(key, timeout, unit);
}
/**
* 获取有效时间
*
* @param key Redis键
* @return 有效时间
*/
public long getExpire(final String key)
{
return redisTemplate.getExpire(key);
}
/**
* 判断 key是否存在
*
* @param key 键
* @return true 存在 false不存在
*/
public Boolean hasKey(String key)
{
return redisTemplate.hasKey(key);
}
/**
* 获得缓存的基本对象。
*
* @param key 缓存键值
* @return 缓存键值对应的数据
*/
public <T> T getCacheObject(final String key)
{
ValueOperations<String, T> operation = redisTemplate.opsForValue();
return operation.get(key);
}
/**
* 删除单个对象
*
* @param key
*/
public boolean deleteObject(final String key)
{
return redisTemplate.delete(key);
}
/**
* 删除集合对象
*
* @param collection 多个对象
* @return
*/
public boolean deleteObject(final Collection collection)
{
return redisTemplate.delete(collection) > 0;
}
/**
* 缓存List数据
*
* @param key 缓存的键值
* @param dataList 待缓存的List数据
* @return 缓存的对象
*/
public <T> long setCacheList(final String key, final List<T> dataList)
{
Long count = redisTemplate.opsForList().rightPushAll(key, dataList);
return count == null ? 0 : count;
}
/**
* 获得缓存的list对象
*
* @param key 缓存的键值
* @return 缓存键值对应的数据
*/
public <T> List<T> getCacheList(final String key)
{
return redisTemplate.opsForList().range(key, 0, -1);
}
/**
* 缓存Set
*
* @param key 缓存键值
* @param dataSet 缓存的数据
* @return 缓存数据的对象
*/
public <T> BoundSetOperations<String, T> setCacheSet(final String key, final Set<T> dataSet)
{
BoundSetOperations<String, T> setOperation = redisTemplate.boundSetOps(key);
Iterator<T> it = dataSet.iterator();
while (it.hasNext())
{
setOperation.add(it.next());
}
return setOperation;
}
/**
* 获得缓存的set
*
* @param key
* @return
*/
public <T> Set<T> getCacheSet(final String key)
{
return redisTemplate.opsForSet().members(key);
}
/**
* 缓存Map
*
* @param key
* @param dataMap
*/
public <T> void setCacheMap(final String key, final Map<String, T> dataMap)
{
if (dataMap != null) {
redisTemplate.opsForHash().putAll(key, dataMap);
}
}
/**
* 获得缓存的Map
*
* @param key
* @return
*/
public <T> Map<String, T> getCacheMap(final String key)
{
return redisTemplate.opsForHash().entries(key);
}
/**
* 往Hash中存入数据
*
* @param key Redis键
* @param hKey Hash键
* @param value 值
*/
public <T> void setCacheMapValue(final String key, final String hKey, final T value)
{
redisTemplate.opsForHash().put(key, hKey, value);
}
/**
* 获取Hash中的数据
*
* @param key Redis键
* @param hKey Hash键
* @return Hash中的对象
*/
public <T> T getCacheMapValue(final String key, final String hKey)
{
HashOperations<String, String, T> opsForHash = redisTemplate.opsForHash();
return opsForHash.get(key, hKey);
}
/**
* 获取多个Hash中的数据
*
* @param key Redis键
* @param hKeys Hash键集合
* @return Hash对象集合
*/
public <T> List<T> getMultiCacheMapValue(final String key, final Collection<Object> hKeys)
{
return redisTemplate.opsForHash().multiGet(key, hKeys);
}
/**
* 删除Hash中的某条数据
*
* @param key Redis键
* @param hKey Hash键
* @return 是否成功
*/
public boolean deleteCacheMapValue(final String key, final String hKey)
{
return redisTemplate.opsForHash().delete(key, hKey) > 0;
}
/**
* 获得缓存的基本对象列表
*
* @param pattern 字符串前缀
* @return 对象列表
*/
public Collection<String> keys(final String pattern)
{
return redisTemplate.keys(pattern);
}
/**
* 存储有序集合
* @param key 键
* @param value 值
* @param score 排序
*/
public void zSet(Object key, Object value, double score){
redisTemplate.opsForZSet().add(key, value, score);
}
/**
* 存储值
* @param key 键
* @param set 集合
*/
public void zSet(Object key, Set set){
redisTemplate.opsForZSet().add(key, set);
}
/**
* 获取key指定范围的值
* @param key 键
* @param start 开始位置
* @param end 结束位置
* @return 返回set
*/
public Set zGet(Object key, long start, long end){
Set set = redisTemplate.opsForZSet().range(key, start, end);
return set;
}
/**
* 获取key对应的所有值
* @param key 键
* @return 返回set
*/
public Set zGet(Object key){
Set set = redisTemplate.opsForZSet().range(key, 0, -1);
return set;
}
/**
* 获取对用数据的大小
* @param key 键
* @return 键值大小
*/
public long zGetSize(Object key){
Long size = redisTemplate.opsForZSet().size(key);
return size;
}
}
6. User entity class
Need to implement serialization interface
package com.example.redis.domain;
import lombok.AllArgsConstructor;
import lombok.Data;
import lombok.NoArgsConstructor;
import java.io.Serializable;
@Data
@AllArgsConstructor
@NoArgsConstructor
public class User implements Serializable{
private String username;
private String password;
}
Seven, five basic data types
Here's an example of how to use each tag
7.1, String type
@Autowired
private RedisCache redisCache;
public void string(){
User user = new User("mike","123456");
redisCache.setCacheObject("user",user);
User redisUser = redisCache.getCacheObject("user");
System.out.println(redisUser);
}7.2, List type
@Autowired
private RedisCache redisCache;
public void list(){
List<String> list = new ArrayList<>();
list.add("aaa");
list.add("bbb");
redisCache.setCacheList("list",list);
List<Object> redisList = redisCache.getCacheList("list");
System.out.println(redisList);
}7.3, Set type
@Autowired
private RedisCache redisCache;
public void set(){
Set<String> set = new HashSet<>();
set.add("aaa");
set.add("bbb");
redisCache.setCacheSet("set",set);
Set<String> redisSet = redisCache.getCacheSet("set");
System.out.println(redisSet);
}7.4. Map type
@Autowired
private RedisCache redisCache;
public void map(){
User user = new User("mike","123456");
Map<String,String> map = new HashMap<>(16);
map.put("username", user.getUsername());
map.put("password", user.getPassword());
redisCache.setCacheMap("map",map);
Map<String,String> redisMap = redisCache.getCacheMap("map");
System.out.println(redisMap);
}7.5, ZSet type
@Autowired
private RedisCache redisCache;
public void ZSet(){
String key = "ZSet_key";
User user1 = new User("Tom", "123");
User user2 = new User("Jack", "123");
Set<User> hashSet = new HashSet<>();
hashSet.add(user1);
hashSet.add(user2);
redisCache.zSet(key,user1,0);
redisCache.zSet(key,user2,1);
Set set = redisCache.zGet(key, 0, -1);
System.out.println(set);
}8. Gitee source code
I have uploaded the source code to the code cloud, you can pull it if you need it:
Address: SpringBoot integrates RedisTemplate to operate Redis data complete code sharing
Nine. Summary
The above is some common code sharing about how SpringBoot operates the Redis database in actual project development. If you have any questions, welcome to discuss in the comment area!