依赖的jar包:
org.springframework.boot
spring-boot-starter-data-redis
org.apache.commons
commons-pool2
2.6.0
RedisTemplate默认提供的序列化器
RedisSerializer redis序列化的接口类
OxmSerializer xml到object的序列化/反序列化
StringRedisSerializer string字符串的序列化/反序列化
JacksonJsonRedisSerializer json到object的序列化/反序列化
Jackson2JsonRedisSerializer json到object的序列化/反序列化
JdkSerializationRedisSerializer java对象的序列化/反序列化
JAVA code:
配置文件:存放位置properties/redis.properties
# Redis settings
spring.redis.database=0
spring.redis.host=127.0.0.1
spring.redis.port=6379
spring.redis.password=
spring.redis.ssl=false
#客户端超时时间单位是毫秒 默认是2000
spring.redis.connTimeout=10000
spring.redis.CachingTime=900
#spring.redis.url=spring.redis://[email protected]:6379/2
#最大空闲数
spring.redis.maxIdle=300
#最小空闲数
spring.redis.minIdle=1
#连接池的最大数据库连接数。设为0表示无限制,如果是jedis 2.4以后用spring.redis.maxTotal
spring.redis.maxActive=600
spring.redis.maxWait=2
#控制一个pool可分配多少个jedis实例,用来替换上面的spring.redis.maxActive,如果是jedis 2.4以后用该属性
spring.redis.maxTotal=1000
#最大建立连接等待时间。如果超过此时间将接到异常。设为-1表示无限制。
spring.redis.maxWaitMillis=3000
#连接的最小空闲时间 默认1800000毫秒(30分钟)
spring.redis.minEvictableIdleTimeMillis=300000
#每次释放连接的最大数目,默认3
spring.redis.numTestsPerEvictionRun=1024
#逐出扫描的时间间隔(毫秒) 如果为负数,则不运行逐出线程, 默认-1
spring.redis.timeBetweenEvictionRunsMillis=30000
#是否在从池中取出连接前进行检验,如果检验失败,则从池中去除连接并尝试取出另一个
spring.redis.testOnBorrow=true
#返回性校验
spring.redis.testOnReturn=true
#在空闲时检查有效性, 默认false
spring.redis.testWhileIdle=true
RedisProperties配置类:
import lombok.Data;
import org.springframework.boot.context.properties.ConfigurationProperties;
import org.springframework.context.annotation.PropertySource;
import org.springframework.stereotype.Component;
@Component
@Data
@PropertySource(value= {"classpath:properties/redis.properties"})
@ConfigurationProperties(prefix = "spring.redis")
public class RedisProperties {
private static final String PROPERTIES_FILE = "application.properties";
/**
* spring.redis.database=0
* spring.redis.host=192.168.33.200
* spring.redis.port=6379
* spring.redis.ssl=false
* spring.redis.password=123456
* spring.redis.connTimeout=5000ms
* spring.redis.maxActive=500
* spring.redis.maxIdle=10
* spring.redis.minIdle=0
* spring.redis.maxWait=5000ms
* */
private Integer database;
private String host;
private Integer port;
private Boolean ssl;
private String password;
private Long connTimeout;
private Integer maxActive;
private Integer maxIdle;
private Integer minIdle;
private Integer maxWait;
}
RedisConfig配置类:
import com.fasterxml.jackson.annotation.JsonAutoDetect;
import com.fasterxml.jackson.annotation.PropertyAccessor;
import com.fasterxml.jackson.databind.ObjectMapper;
import com.myself.platform.properties.RedisProperties;
import org.apache.commons.pool2.impl.GenericObjectPoolConfig;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.cache.CacheManager;
import org.springframework.cache.annotation.EnableCaching;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.data.redis.cache.RedisCacheManager;
import org.springframework.data.redis.connection.RedisConnectionFactory;
import org.springframework.data.redis.connection.RedisPassword;
import org.springframework.data.redis.connection.RedisStandaloneConfiguration;
import org.springframework.data.redis.connection.lettuce.LettuceClientConfiguration;
import org.springframework.data.redis.connection.lettuce.LettuceConnectionFactory;
import org.springframework.data.redis.connection.lettuce.LettucePoolingClientConfiguration;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.serializer.Jackson2JsonRedisSerializer;
import org.springframework.data.redis.serializer.RedisSerializer;
import org.springframework.data.redis.serializer.StringRedisSerializer;
import java.time.Duration;
/**
* Created by qxr4383 on 2018/12/27.
*/
@Configuration
@EnableCaching
public class RedisConfig {
@Autowired
private RedisProperties redisProperties;
@Bean
public RedisTemplate redisTemplate(LettuceConnectionFactory lettuceConnectionFactory) {
//设置序列化
//使用Jackson2JsonRedisSerializer来序列化和反序列化redis的value值(默认使用JDK的序列化方式)
Jackson2JsonRedisSerializer jackson2JsonRedisSerializer = 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);
om.enableDefaultTyping(ObjectMapper.DefaultTyping.NON_FINAL);
jackson2JsonRedisSerializer.setObjectMapper(om);
//配置redisTemplate
RedisTemplate redisTemplate = new RedisTemplate<>();
// 配置连接工厂
redisTemplate.setConnectionFactory(lettuceConnectionFactory);
RedisSerializer stringSerializer = new StringRedisSerializer();
redisTemplate.setKeySerializer(stringSerializer);//key序列化
redisTemplate.setValueSerializer(jackson2JsonRedisSerializer);//value序列化
redisTemplate.setHashKeySerializer(stringSerializer);//Hash key序列化
redisTemplate.setHashValueSerializer(jackson2JsonRedisSerializer);//Hash value序列化
redisTemplate.afterPropertiesSet();
return redisTemplate;
}
@Bean
public LettuceConnectionFactory lettuceConnectionFactory(GenericObjectPoolConfig genericObjectPoolConfig) {
// 单机版配置
RedisStandaloneConfiguration redisStandaloneConfiguration = new RedisStandaloneConfiguration();
redisStandaloneConfiguration.setDatabase(redisProperties.getDatabase()==null ? 0 : redisProperties.getDatabase());
redisStandaloneConfiguration.setHostName(redisProperties.getHost());
redisStandaloneConfiguration.setPort(redisProperties.getPort());
redisStandaloneConfiguration.setPassword(RedisPassword.of(redisProperties.getPassword()));
// 集群版配置
// RedisClusterConfiguration redisClusterConfiguration = new RedisClusterConfiguration();
// String[] serverArray = clusterNodes.split(",");
// Set nodes = new HashSet();
// for (String ipPort : serverArray) {
// String[] ipAndPort = ipPort.split(":");
// nodes.add(new RedisNode(ipAndPort[0].trim(), Integer.valueOf(ipAndPort[1])));
// }
// redisClusterConfiguration.setPassword(RedisPassword.of(password));
// redisClusterConfiguration.setClusterNodes(nodes);
// redisClusterConfiguration.setMaxRedirects(maxRedirects);
LettuceClientConfiguration clientConfig = LettucePoolingClientConfiguration.builder()
.commandTimeout(Duration.ofMillis(redisProperties.getConnTimeout()))
.poolConfig(genericObjectPoolConfig)
.build();
if (redisProperties.getSsl()){
clientConfig.isUseSsl();
}
LettuceConnectionFactory factory = new LettuceConnectionFactory(redisStandaloneConfiguration,clientConfig);
return factory;
}
/**
* GenericObjectPoolConfig 连接池配置
*
* @return
*/
@Bean
public GenericObjectPoolConfig genericObjectPoolConfig() {
GenericObjectPoolConfig genericObjectPoolConfig = new GenericObjectPoolConfig();
genericObjectPoolConfig.setMaxIdle(redisProperties.getMaxIdle());
genericObjectPoolConfig.setMinIdle(redisProperties.getMinIdle());
genericObjectPoolConfig.setMaxTotal(redisProperties.getMaxActive());
genericObjectPoolConfig.setMaxWaitMillis(redisProperties.getMaxWait());
return genericObjectPoolConfig;
}
@Bean
public CacheManager cacheManager(LettuceConnectionFactory lettuceConnectionFactory) {
RedisCacheManager.RedisCacheManagerBuilder builder = RedisCacheManager
.RedisCacheManagerBuilder
.fromConnectionFactory(lettuceConnectionFactory);
return builder.build();
}
}
redis工具接口类:
import java.util.List;
import java.util.Set;
public interface RedisService {
boolean set(String key, Object value);
boolean set(String key, Object value, Long expireTime);
void remove(String... keys);
/**
* 批量删除key
* @param pattern
*/
void removePattern(String pattern);
/**
* 删除对应的value
* @param key
*/
void remove(String key);
/**
* 判断缓存中是否有对应的value
* @param key
* @return
*/
boolean exists(String key);
/**
* 读取缓存
* @param key
* @return
*/
Object get(String key);
/**
* 哈希 添加
* @param key
* @param hashKey
* @param value
*/
void hmSet(String key, Object hashKey, Object value);
/**
* 哈希获取数据
* @param key
* @param hashKey
* @return
*/
Object hmGet(String key, Object hashKey);
/**
* 列表添加
* @param k
* @param v
*/
void lPush(String k, Object v);
/**
* 列表获取
* @param k
* @param l
* @param l1
* @return
*/
List
redis接口实现类:
import com.myself.platform.service.RedisService;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.redis.core.*;
import org.springframework.stereotype.Service;
import java.io.Serializable;
import java.util.List;
import java.util.Set;
import java.util.concurrent.TimeUnit;
@Service
public class RedisServiceImpl implements RedisService {
@Autowired
private RedisTemplate redisTemplate;
/**
* 写入缓存
* @param key
* @param value
* @return boolean
*/
@Override
public boolean set(String key, Object value) {
boolean result = false;
try {
ValueOperations operations = redisTemplate.opsForValue();
operations.set(key, value);
result = true;
} catch (Exception e) {
e.printStackTrace();
}
return result;
}
/**
* 写入缓存设置时效时间
* @param key
* @param value
* @return boolean
*/
@Override
public boolean set(String key, Object value, Long expireTime) {
boolean result = false;
try {
ValueOperations operations = redisTemplate.opsForValue();
operations.set(key, value);
redisTemplate.expire(key, expireTime, TimeUnit.SECONDS);
result = true;
} catch (Exception e) {
e.printStackTrace();
}
return result;
}
/**
* 批量删除对应的value
* @param keys
*/
@Override
public void remove(String... keys) {
for (String key : keys) {
remove(key);
}
}
/**
* 批量删除key
* @param pattern
*/
@Override
public void removePattern(String pattern) {
Set keys = redisTemplate.keys(pattern);
if (keys.size() > 0)
redisTemplate.delete(keys);
}
/**
* 删除对应的value
* @param key
*/
@Override
public void remove(String key) {
if (exists(key)) {
redisTemplate.delete(key);
}
}
/**
* 判断缓存中是否有对应的value
* @param key
* @return
*/
@Override
public boolean exists(String key) {
return redisTemplate.hasKey(key);
}
/**
* 读取缓存
* @param key
* @return
*/
@Override
public Object get(String key) {
Object result = null;
ValueOperations operations = redisTemplate.opsForValue();
result = operations.get(key);
return result;
}
/**
* 哈希 添加
* @param key
* @param hashKey
* @param value
*/
@Override
public void hmSet(String key, Object hashKey, Object value){
HashOperations hash = redisTemplate.opsForHash();
hash.put(key,hashKey,value);
}
/**
* 哈希获取数据
* @param key
* @param hashKey
* @return
*/
@Override
public Object hmGet(String key, Object hashKey){
HashOperations hash = redisTemplate.opsForHash();
return hash.get(key,hashKey);
}
/**
* 列表添加
* @param k
* @param v
*/
@Override
public void lPush(String k,Object v){
ListOperations list = redisTemplate.opsForList();
list.rightPush(k,v);
}
/**
* 列表获取
* @param k
* @param l
* @param l1
* @return
*/
@Override
public List lRange(String k, long l, long l1){
ListOperations list = redisTemplate.opsForList();
return list.range(k,l,l1);
}
/**
* 集合添加
* @param key
* @param value
*/
@Override
public void setArray(String key,Object value){
SetOperations set = redisTemplate.opsForSet();
set.add(key,value);
}
/**
* 集合获取
* @param key
* @return
*/
@Override
public Set getArray(String key){
SetOperations set = redisTemplate.opsForSet();
return set.members(key);
}
/**
* 有序集合添加
* @param key
* @param value
* @param scoure
*/
@Override
public void zAdd(String key,Object value,double scoure){
ZSetOperations zset = redisTemplate.opsForZSet();
zset.add(key,value,scoure);
}
/**
* 有序集合获取
* @param key
* @param scoure
* @param scoure1
* @return
*/
@Override
public Set rangeByScore(String key,double scoure,double scoure1){
ZSetOperations zset = redisTemplate.opsForZSet();
return zset.rangeByScore(key, scoure, scoure1);
}
}
测试类:
@Autowired
private RedisService redisService;
public String getProperties(){
redisService.set("3213", 1213,900l);
}