!7 使用redisson

Merge pull request !7 from 月夜/master
This commit is contained in:
月夜
2021-12-28 10:35:07 +00:00
committed by 疯狂的狮子Li
parent b59a0c44b5
commit 0fc652d3e9
16 changed files with 914 additions and 465 deletions

View File

@@ -22,6 +22,12 @@
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-data-redis</artifactId>
</dependency>
<!--redisson-->
<dependency>
<groupId>org.redisson</groupId>
<artifactId>redisson-spring-boot-starter</artifactId>
</dependency>
<!-- RuoYi Common Core-->
<dependency>

View File

@@ -0,0 +1,198 @@
package com.ruoyi.common.redis.config;
import cn.hutool.core.util.ObjectUtil;
import com.ruoyi.common.core.utils.StringUtils;
import com.ruoyi.common.redis.config.properties.RedissonProperties;
import lombok.extern.slf4j.Slf4j;
import org.redisson.Redisson;
import org.redisson.api.RedissonClient;
import org.redisson.codec.JsonJacksonCodec;
import org.redisson.config.Config;
import org.redisson.spring.cache.CacheConfig;
import org.redisson.spring.cache.RedissonSpringCacheManager;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.autoconfigure.condition.ConditionalOnMissingBean;
import org.springframework.boot.autoconfigure.data.redis.RedisProperties;
import org.springframework.cache.CacheManager;
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 java.io.IOException;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.stream.Collectors;
/**
* redis配置
*
* @author Lion Li
*/
@Slf4j
@Configuration
@EnableCaching
public class RedisConfig extends CachingConfigurerSupport {
private static final String REDIS_PROTOCOL_PREFIX = "redis://";
private static final String REDISS_PROTOCOL_PREFIX = "rediss://";
@Autowired
private RedisProperties redisProperties;
@Autowired
private RedissonProperties redissonProperties;
@Bean(destroyMethod = "shutdown")
@ConditionalOnMissingBean(RedissonClient.class)
public RedissonClient redisson() throws IOException {
String prefix = REDIS_PROTOCOL_PREFIX;
if (redisProperties.isSsl()) {
prefix = REDISS_PROTOCOL_PREFIX;
}
Config config = new Config();
config.setThreads(redissonProperties.getThreads())
.setNettyThreads(redissonProperties.getNettyThreads())
.setCodec(JsonJacksonCodec.INSTANCE)
.setTransportMode(redissonProperties.getTransportMode());
RedissonProperties.SingleServerConfig singleServerConfig = redissonProperties.getSingleServerConfig();
if (ObjectUtil.isNotNull(singleServerConfig)) {
// 使用单机模式
config.useSingleServer()
.setAddress(prefix + redisProperties.getHost() + ":" + redisProperties.getPort())
.setConnectTimeout(((Long) redisProperties.getTimeout().toMillis()).intValue())
.setDatabase(redisProperties.getDatabase())
.setPassword(StringUtils.isNotBlank(redisProperties.getPassword()) ? redisProperties.getPassword() : null)
.setTimeout(singleServerConfig.getTimeout())
.setRetryAttempts(singleServerConfig.getRetryAttempts())
.setRetryInterval(singleServerConfig.getRetryInterval())
.setSubscriptionsPerConnection(singleServerConfig.getSubscriptionsPerConnection())
.setClientName(singleServerConfig.getClientName())
.setIdleConnectionTimeout(singleServerConfig.getIdleConnectionTimeout())
.setSubscriptionConnectionMinimumIdleSize(singleServerConfig.getSubscriptionConnectionMinimumIdleSize())
.setSubscriptionConnectionPoolSize(singleServerConfig.getSubscriptionConnectionPoolSize())
.setConnectionMinimumIdleSize(singleServerConfig.getConnectionMinimumIdleSize())
.setConnectionPoolSize(singleServerConfig.getConnectionPoolSize())
.setDnsMonitoringInterval(singleServerConfig.getDnsMonitoringInterval());
}
// 集群配置方式 参考下方注释
RedissonProperties.ClusterServersConfig clusterServersConfig = redissonProperties.getClusterServersConfig();
if (ObjectUtil.isNotNull(clusterServersConfig)) {
// 使用集群模式
String finalPrefix = prefix;
List<String> nodes = redisProperties.getCluster().getNodes()
.stream()
.map(node -> finalPrefix + node)
.collect(Collectors.toList());
config.useClusterServers()
.setConnectTimeout(((Long) redisProperties.getTimeout().toMillis()).intValue())
.setPassword(StringUtils.isNotBlank(redisProperties.getPassword()) ? redisProperties.getPassword() : null)
.setTimeout(clusterServersConfig.getTimeout())
.setRetryAttempts(clusterServersConfig.getRetryAttempts())
.setRetryInterval(clusterServersConfig.getRetryInterval())
.setSubscriptionsPerConnection(clusterServersConfig.getSubscriptionsPerConnection())
.setClientName(clusterServersConfig.getClientName())
.setIdleConnectionTimeout(clusterServersConfig.getIdleConnectionTimeout())
.setPingConnectionInterval(clusterServersConfig.getPingConnectionInterval())
.setSubscriptionConnectionMinimumIdleSize(clusterServersConfig.getSubscriptionConnectionMinimumIdleSize())
.setSubscriptionConnectionPoolSize(clusterServersConfig.getSubscriptionConnectionPoolSize())
.setMasterConnectionMinimumIdleSize(clusterServersConfig.getMasterConnectionMinimumIdleSize())
.setMasterConnectionPoolSize(clusterServersConfig.getMasterConnectionPoolSize())
.setSlaveConnectionMinimumIdleSize(clusterServersConfig.getSlaveConnectionMinimumIdleSize())
.setSlaveConnectionPoolSize(clusterServersConfig.getSlaveConnectionPoolSize())
.setDnsMonitoringInterval(clusterServersConfig.getDnsMonitoringInterval())
.setFailedSlaveReconnectionInterval(clusterServersConfig.getFailedSlaveReconnectionInterval())
.setScanInterval(clusterServersConfig.getScanInterval())
.setReadMode(clusterServersConfig.getReadMode())
.setSubscriptionMode(clusterServersConfig.getSubscriptionMode())
.setNodeAddresses(nodes);
}
RedissonClient redissonClient = Redisson.create(config);
log.info("初始化 redis 配置");
return redissonClient;
}
/**
* 整合spring-cache
*/
@Bean
public CacheManager cacheManager(RedissonClient redissonClient) {
List<RedissonProperties.CacheGroup> cacheGroup = redissonProperties.getCacheGroup();
Map<String, CacheConfig> config = new HashMap<>();
for (RedissonProperties.CacheGroup group : cacheGroup) {
CacheConfig cacheConfig = new CacheConfig(group.getTtl(), group.getMaxIdleTime());
cacheConfig.setMaxSize(group.getMaxSize());
config.put(group.getGroupId(), cacheConfig);
}
return new RedissonSpringCacheManager(redissonClient, config, JsonJacksonCodec.INSTANCE);
}
/**
* redis集群配置 yml
*
* --- # redis 集群配置(单机与集群只能开启一个另一个需要注释掉)
* spring:
* redis:
* cluster:
* nodes:
* - 192.168.0.100:6379
* - 192.168.0.101:6379
* - 192.168.0.102:6379
* # 密码
* password:
* # 连接超时时间
* timeout: 10s
* # 是否开启ssl
* ssl: false
*
* redisson:
* # 线程池数量
* threads: 16
* # Netty线程池数量
* nettyThreads: 32
* # 传输模式
* transportMode: "NIO"
* # 集群配置
* clusterServersConfig:
* # 客户端名称
* clientName: ${ruoyi.name}
* # master最小空闲连接数
* masterConnectionMinimumIdleSize: 32
* # master连接池大小
* masterConnectionPoolSize: 64
* # slave最小空闲连接数
* slaveConnectionMinimumIdleSize: 32
* # slave连接池大小
* slaveConnectionPoolSize: 64
* # 连接空闲超时,单位:毫秒
* idleConnectionTimeout: 10000
* # ping连接间隔
* pingConnectionInterval: 1000
* # 命令等待超时,单位:毫秒
* timeout: 3000
* # 如果尝试在此限制之内发送成功,则开始启用 timeout 计时。
* retryAttempts: 3
* # 命令重试发送时间间隔,单位:毫秒
* retryInterval: 1500
* # 从可用服务器的内部列表中排除 Redis Slave 重新连接尝试的间隔。
* failedSlaveReconnectionInterval: 3000
* # 发布和订阅连接池最小空闲连接数
* subscriptionConnectionMinimumIdleSize: 1
* # 发布和订阅连接池大小
* subscriptionConnectionPoolSize: 50
* # 单个连接最大订阅数量
* subscriptionsPerConnection: 5
* # 扫描间隔
* scanInterval: 1000
* # DNS监测时间间隔单位毫秒
* dnsMonitoringInterval: 5000
* # 读取模式
* readMode: "SLAVE"
* # 订阅模式
* subscriptionMode: "MASTER"
*/
}

View File

@@ -0,0 +1,236 @@
package com.ruoyi.common.redis.config.properties;
import lombok.Data;
import lombok.NoArgsConstructor;
import org.redisson.config.ReadMode;
import org.redisson.config.SubscriptionMode;
import org.redisson.config.TransportMode;
import org.springframework.boot.context.properties.ConfigurationProperties;
import org.springframework.stereotype.Component;
import java.util.List;
/**
* Redisson 配置属性
*
* @author Lion Li
*/
@Data
@Component
@ConfigurationProperties(prefix = "redisson")
public class RedissonProperties {
/**
* 线程池数量,默认值 = 当前处理核数量 * 2
*/
private int threads;
/**
* Netty线程池数量,默认值 = 当前处理核数量 * 2
*/
private int nettyThreads;
/**
* 传输模式
*/
private TransportMode transportMode;
/**
* 单机服务配置
*/
private SingleServerConfig singleServerConfig;
/**
* 集群服务配置
*/
private ClusterServersConfig clusterServersConfig;
/**
* 缓存组
*/
private List<CacheGroup> cacheGroup;
@Data
@NoArgsConstructor
public static class SingleServerConfig {
/**
* 客户端名称
*/
private String clientName;
/**
* 最小空闲连接数
*/
private int connectionMinimumIdleSize;
/**
* 连接池大小
*/
private int connectionPoolSize;
/**
* 连接空闲超时,单位:毫秒
*/
private int idleConnectionTimeout;
/**
* 命令等待超时,单位:毫秒
*/
private int timeout;
/**
* 如果尝试在此限制之内发送成功,则开始启用 timeout 计时。
*/
private int retryAttempts;
/**
* 命令重试发送时间间隔,单位:毫秒
*/
private int retryInterval;
/**
* 发布和订阅连接的最小空闲连接数
*/
private int subscriptionConnectionMinimumIdleSize;
/**
* 发布和订阅连接池大小
*/
private int subscriptionConnectionPoolSize;
/**
* 单个连接最大订阅数量
*/
private int subscriptionsPerConnection;
/**
* DNS监测时间间隔单位毫秒
*/
private int dnsMonitoringInterval;
}
@Data
@NoArgsConstructor
public static class ClusterServersConfig {
/**
* 客户端名称
*/
private String clientName;
/**
* master最小空闲连接数
*/
private int masterConnectionMinimumIdleSize;
/**
* master连接池大小
*/
private int masterConnectionPoolSize;
/**
* slave最小空闲连接数
*/
private int slaveConnectionMinimumIdleSize;
/**
* slave连接池大小
*/
private int slaveConnectionPoolSize;
/**
* 连接空闲超时,单位:毫秒
*/
private int idleConnectionTimeout;
/**
* ping超时
*/
private int pingConnectionInterval;
/**
* 命令等待超时,单位:毫秒
*/
private int timeout;
/**
* 如果尝试在此限制之内发送成功,则开始启用 timeout 计时。
*/
private int retryAttempts;
/**
* 命令重试发送时间间隔,单位:毫秒
*/
private int retryInterval;
/**
* 错误重试次数
*/
private int failedSlaveReconnectionInterval;
/**
* 发布和订阅连接池最小空闲连接数
*/
private int subscriptionConnectionMinimumIdleSize;
/**
* 发布和订阅连接池大小
*/
private int subscriptionConnectionPoolSize;
/**
* 单个连接最大订阅数量
*/
private int subscriptionsPerConnection;
/**
* 扫描间隔
*/
private int scanInterval;
/**
* DNS监测时间间隔单位毫秒
*/
private int dnsMonitoringInterval;
/**
* 读取模式
*/
private ReadMode readMode;
/**
* 订阅模式
*/
private SubscriptionMode subscriptionMode;
}
@Data
@NoArgsConstructor
public static class CacheGroup {
/**
* 组id
*/
private String groupId;
/**
* 组过期时间
*/
private long ttl;
/**
* 组最大空闲时间
*/
private long maxIdleTime;
/**
* 组最大长度
*/
private int maxSize;
}
}

View File

@@ -1,71 +0,0 @@
package com.ruoyi.common.redis.configure;
import com.alibaba.fastjson.JSON;
import com.alibaba.fastjson.serializer.SerializerFeature;
import com.fasterxml.jackson.databind.JavaType;
import com.fasterxml.jackson.databind.ObjectMapper;
import com.fasterxml.jackson.databind.type.TypeFactory;
import org.springframework.data.redis.serializer.RedisSerializer;
import org.springframework.data.redis.serializer.SerializationException;
import com.alibaba.fastjson.parser.ParserConfig;
import org.springframework.util.Assert;
import java.nio.charset.Charset;
/**
* Redis使用FastJson序列化
*
* @author ruoyi
*/
public class FastJson2JsonRedisSerializer<T> implements RedisSerializer<T>
{
@SuppressWarnings("unused")
private ObjectMapper objectMapper = new ObjectMapper();
public static final Charset DEFAULT_CHARSET = Charset.forName("UTF-8");
private Class<T> clazz;
static
{
ParserConfig.getGlobalInstance().setAutoTypeSupport(true);
}
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, SerializerFeature.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);
}
public void setObjectMapper(ObjectMapper objectMapper)
{
Assert.notNull(objectMapper, "'objectMapper' must not be null");
this.objectMapper = objectMapper;
}
protected JavaType getJavaType(Class<?> clazz)
{
return TypeFactory.defaultInstance().constructType(clazz);
}
}

View File

@@ -1,50 +0,0 @@
package com.ruoyi.common.redis.configure;
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;
import com.fasterxml.jackson.annotation.JsonAutoDetect;
import com.fasterxml.jackson.annotation.JsonTypeInfo;
import com.fasterxml.jackson.annotation.PropertyAccessor;
import com.fasterxml.jackson.databind.ObjectMapper;
import com.fasterxml.jackson.databind.jsontype.impl.LaissezFaireSubTypeValidator;
/**
* redis配置
*
* @author ruoyi
*/
@Configuration
@EnableCaching
public class RedisConfig extends CachingConfigurerSupport
{
@Bean
@SuppressWarnings(value = { "unchecked", "rawtypes" })
public RedisTemplate<Object, Object> redisTemplate(RedisConnectionFactory connectionFactory)
{
RedisTemplate<Object, Object> template = new RedisTemplate<>();
template.setConnectionFactory(connectionFactory);
FastJson2JsonRedisSerializer serializer = new FastJson2JsonRedisSerializer(Object.class);
ObjectMapper mapper = new ObjectMapper();
mapper.setVisibility(PropertyAccessor.ALL, JsonAutoDetect.Visibility.ANY);
mapper.activateDefaultTyping(LaissezFaireSubTypeValidator.instance, ObjectMapper.DefaultTyping.NON_FINAL, JsonTypeInfo.As.PROPERTY);
serializer.setObjectMapper(mapper);
// 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;
}
}

View File

@@ -1,256 +0,0 @@
package com.ruoyi.common.redis.service;
import java.util.Collection;
import java.util.Iterator;
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.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;
/**
* spring redis 工具类
*
* @author ruoyi
**/
@SuppressWarnings(value = { "unchecked", "rawtypes" })
@Component
public class RedisService
{
@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 Long 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 long deleteObject(final Collection collection)
{
return redisTemplate.delete(collection);
}
/**
* 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);
}
/**
* 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);
}
}

View File

@@ -0,0 +1,394 @@
package com.ruoyi.common.redis.utils;
import cn.hutool.core.collection.IterUtil;
import com.ruoyi.common.core.utils.SpringUtils;
import lombok.AccessLevel;
import lombok.NoArgsConstructor;
import org.redisson.api.*;
import java.util.Collection;
import java.util.List;
import java.util.Map;
import java.util.Set;
import java.util.concurrent.TimeUnit;
import java.util.function.Consumer;
/**
* redis 工具类
*
* @author Lion Li
* @version 3.1.0 新增
*/
@NoArgsConstructor(access = AccessLevel.PRIVATE)
@SuppressWarnings(value = {"unchecked", "rawtypes"})
public class RedisUtils {
private static final RedissonClient CLIENT = SpringUtils.getBean(RedissonClient.class);
/**
* 限流
*
* @param key 限流key
* @param rateType 限流类型
* @param rate 速率
* @param rateInterval 速率间隔
* @return -1 表示失败
*/
public static long rateLimiter(String key, RateType rateType, int rate, int rateInterval) {
RRateLimiter rateLimiter = CLIENT.getRateLimiter(key);
rateLimiter.trySetRate(rateType, rate, rateInterval, RateIntervalUnit.SECONDS);
if (rateLimiter.tryAcquire()) {
return rateLimiter.availablePermits();
} else {
return -1L;
}
}
/**
* 获取客户端实例
*/
public static RedissonClient getClient() {
return CLIENT;
}
/**
* 发布通道消息
*
* @param channelKey 通道key
* @param msg 发送数据
* @param consumer 自定义处理
*/
public static <T> void publish(String channelKey, T msg, Consumer<T> consumer) {
RTopic topic = CLIENT.getTopic(channelKey);
topic.publish(msg);
consumer.accept(msg);
}
public static <T> void publish(String channelKey, T msg) {
RTopic topic = CLIENT.getTopic(channelKey);
topic.publish(msg);
}
/**
* 订阅通道接收消息
*
* @param channelKey 通道key
* @param clazz 消息类型
* @param consumer 自定义处理
*/
public static <T> void subscribe(String channelKey, Class<T> clazz, Consumer<T> consumer) {
RTopic topic = CLIENT.getTopic(channelKey);
topic.addListener(clazz, (channel, msg) -> consumer.accept(msg));
}
/**
* 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 static <T> void setCacheObject(final String key, final T value) {
setCacheObject(key, value, false);
}
/**
* 缓存基本的对象,保留当前对象 TTL 有效期
*
* @param key 缓存的键值
* @param value 缓存的值
* @param isSaveTtl 是否保留TTL有效期(例如: set之前ttl剩余90 set之后还是为90)
* @since Redis 6.X 以上使用 setAndKeepTTL 兼容 5.X 方案
*/
public static <T> void setCacheObject(final String key, final T value, final boolean isSaveTtl) {
RBucket<Object> bucket = CLIENT.getBucket(key);
if (isSaveTtl) {
try {
bucket.setAndKeepTTL(value);
} catch (Exception e) {
long timeToLive = bucket.remainTimeToLive();
bucket.set(value);
bucket.expire(timeToLive, TimeUnit.MILLISECONDS);
}
} else {
bucket.set(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 static <T> void setCacheObject(final String key, final T value, final long timeout, final TimeUnit timeUnit) {
RBucket<T> result = CLIENT.getBucket(key);
result.set(value);
result.expire(timeout, timeUnit);
}
/**
* 注册对象监听器
*
* key 监听器需开启 `notify-keyspace-events` 等 redis 相关配置
*
* @param key 缓存的键值
* @param listener 监听器配置
*/
public static <T> void addObjectListener(final String key, final ObjectListener listener) {
RBucket<T> result = CLIENT.getBucket(key);
result.addListener(listener);
}
/**
* 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 static 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 static boolean expire(final String key, final long timeout, final TimeUnit unit) {
RBucket rBucket = CLIENT.getBucket(key);
return rBucket.expire(timeout, unit);
}
/**
* 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 static <T> T getCacheObject(final String key) {
RBucket<T> rBucket = CLIENT.getBucket(key);
return rBucket.get();
}
/**
* 获得key剩余存活时间
*
* @param key 缓存键值
* @return 剩余存活时间
*/
public static <T> long getTimeToLive(final String key) {
RBucket<T> rBucket = CLIENT.getBucket(key);
return rBucket.remainTimeToLive();
}
/**
* 删除单个对象
*
* @param key 缓存的键值
*/
public static boolean deleteObject(final String key) {
return CLIENT.getBucket(key).delete();
}
/**
* 删除集合对象
*
* @param collection 多个对象
*/
public static void deleteObject(final Collection collection) {
RBatch batch = CLIENT.createBatch();
collection.forEach(t -> {
batch.getBucket(t.toString()).deleteAsync();
});
batch.execute();
}
/**
* 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 static <T> boolean setCacheList(final String key, final List<T> dataList) {
RList<T> rList = CLIENT.getList(key);
return rList.addAll(dataList);
}
/**
* 注册List监听器
*
* key 监听器需开启 `notify-keyspace-events` 等 redis 相关配置
*
* @param key 缓存的键值
* @param listener 监听器配置
*/
public static <T> void addListListener(final String key, final ObjectListener listener) {
RList<T> rList = CLIENT.getList(key);
rList.addListener(listener);
}
/**
* 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 static <T> List<T> getCacheList(final String key) {
RList<T> rList = CLIENT.getList(key);
return rList.readAll();
}
/**
* 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 static <T> boolean setCacheSet(final String key, final Set<T> dataSet) {
RSet<T> rSet = CLIENT.getSet(key);
return rSet.addAll(dataSet);
}
/**
* 注册Set监听器
*
* key 监听器需开启 `notify-keyspace-events` 等 redis 相关配置
*
* @param key 缓存的键值
* @param listener 监听器配置
*/
public static <T> void addSetListener(final String key, final ObjectListener listener) {
RSet<T> rSet = CLIENT.getSet(key);
rSet.addListener(listener);
}
/**
* 获得缓存的set
*
* @param key 缓存的key
* @return set对象
*/
public static <T> Set<T> getCacheSet(final String key) {
RSet<T> rSet = CLIENT.getSet(key);
return rSet.readAll();
}
/**
* 缓存Map
*
* @param key 缓存的键值
* @param dataMap 缓存的数据
*/
public static <T> void setCacheMap(final String key, final Map<String, T> dataMap) {
if (dataMap != null) {
RMap<String, T> rMap = CLIENT.getMap(key);
rMap.putAll(dataMap);
}
}
/**
* 注册Map监听器
*
* key 监听器需开启 `notify-keyspace-events` 等 redis 相关配置
*
* @param key 缓存的键值
* @param listener 监听器配置
*/
public static <T> void addMapListener(final String key, final ObjectListener listener) {
RMap<String, T> rMap = CLIENT.getMap(key);
rMap.addListener(listener);
}
/**
* 获得缓存的Map
*
* @param key 缓存的键值
* @return map对象
*/
public static <T> Map<String, T> getCacheMap(final String key) {
RMap<String, T> rMap = CLIENT.getMap(key);
return rMap.getAll(rMap.keySet());
}
/**
* 往Hash中存入数据
*
* @param key Redis键
* @param hKey Hash键
* @param value 值
*/
public static <T> void setCacheMapValue(final String key, final String hKey, final T value) {
RMap<String, T> rMap = CLIENT.getMap(key);
rMap.put(hKey, value);
}
/**
* 获取Hash中的数据
*
* @param key Redis键
* @param hKey Hash键
* @return Hash中的对象
*/
public static <T> T getCacheMapValue(final String key, final String hKey) {
RMap<String, T> rMap = CLIENT.getMap(key);
return rMap.get(hKey);
}
/**
* 删除Hash中的数据
*
* @param key Redis键
* @param hKey Hash键
* @return Hash中的对象
*/
public static <T> T delCacheMapValue(final String key, final String hKey) {
RMap<String, T> rMap = CLIENT.getMap(key);
return rMap.remove(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 static <K, V> Map<K, V> getMultiCacheMapValue(final String key, final Set<K> hKeys) {
RMap<K, V> rMap = CLIENT.getMap(key);
return rMap.getAll(hKeys);
}
/**
* 获得缓存的基本对象列表
*
* @param pattern 字符串前缀
* @return 对象列表
*/
public static Collection<String> keys(final String pattern) {
Iterable<String> iterable = CLIENT.getKeys().getKeysByPattern(pattern);
return IterUtil.toList(iterable);
}
/**
* 检查redis中是否存在key
* @param key 键
* @return
*/
public static Boolean hasKey(String key){
RKeys rKeys= CLIENT.getKeys();
if(rKeys.countExists(key)>0){
return true;
}else {
return false;
}
}
}

View File

@@ -1,5 +1,5 @@
org.springframework.boot.autoconfigure.EnableAutoConfiguration=\
com.ruoyi.common.redis.configure.RedisConfig,\
com.ruoyi.common.redis.service.RedisService
com.ruoyi.common.redis.config.RedisConfig,\
com.ruoyi.common.redis.config.properties.RedissonProperties

View File

@@ -1,11 +1,5 @@
package com.ruoyi.common.security.service;
import java.util.HashMap;
import java.util.Map;
import java.util.concurrent.TimeUnit;
import javax.servlet.http.HttpServletRequest;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Component;
import com.ruoyi.common.core.constant.CacheConstants;
import com.ruoyi.common.core.constant.SecurityConstants;
import com.ruoyi.common.core.utils.IdUtils;
@@ -13,9 +7,15 @@ import com.ruoyi.common.core.utils.JwtUtils;
import com.ruoyi.common.core.utils.ServletUtils;
import com.ruoyi.common.core.utils.StringUtils;
import com.ruoyi.common.core.utils.ip.IpUtils;
import com.ruoyi.common.redis.service.RedisService;
import com.ruoyi.common.redis.utils.RedisUtils;
import com.ruoyi.common.security.utils.SecurityUtils;
import com.ruoyi.system.api.model.LoginUser;
import org.springframework.stereotype.Component;
import javax.servlet.http.HttpServletRequest;
import java.util.HashMap;
import java.util.Map;
import java.util.concurrent.TimeUnit;
/**
* token验证处理
@@ -25,8 +25,6 @@ import com.ruoyi.system.api.model.LoginUser;
@Component
public class TokenService
{
@Autowired
private RedisService redisService;
protected static final long MILLIS_SECOND = 1000;
@@ -100,7 +98,7 @@ public class TokenService
if (StringUtils.isNotEmpty(token))
{
String userkey = JwtUtils.getUserKey(token);
user = redisService.getCacheObject(getTokenKey(userkey));
user= RedisUtils.getCacheObject(getTokenKey(userkey));
return user;
}
}
@@ -129,7 +127,7 @@ public class TokenService
if (StringUtils.isNotEmpty(token))
{
String userkey = JwtUtils.getUserKey(token);
redisService.deleteObject(getTokenKey(userkey));
RedisUtils.deleteObject(getTokenKey(userkey));
}
}
@@ -159,7 +157,7 @@ public class TokenService
loginUser.setExpireTime(loginUser.getLoginTime() + expireTime * MILLIS_MINUTE);
// 根据uuid将loginUser缓存
String userKey = getTokenKey(loginUser.getToken());
redisService.setCacheObject(userKey, loginUser, expireTime, TimeUnit.MINUTES);
RedisUtils.setCacheObject(userKey, loginUser, expireTime, TimeUnit.MINUTES);
}
private String getTokenKey(String token)

View File

@@ -1,12 +1,12 @@
package com.ruoyi.common.security.utils;
import com.ruoyi.common.core.constant.Constants;
import com.ruoyi.common.core.utils.StringUtils;
import com.ruoyi.common.redis.utils.RedisUtils;
import com.ruoyi.system.api.domain.SysDictData;
import java.util.Collection;
import java.util.List;
import com.ruoyi.common.core.constant.Constants;
import com.ruoyi.common.core.utils.SpringUtils;
import com.ruoyi.common.core.utils.StringUtils;
import com.ruoyi.common.redis.service.RedisService;
import com.ruoyi.system.api.domain.SysDictData;
/**
* 字典工具类
@@ -23,7 +23,7 @@ public class DictUtils
*/
public static void setDictCache(String key, List<SysDictData> dictDatas)
{
SpringUtils.getBean(RedisService.class).setCacheObject(getCacheKey(key), dictDatas);
RedisUtils.setCacheObject(getCacheKey(key), dictDatas);
}
/**
@@ -34,7 +34,7 @@ public class DictUtils
*/
public static List<SysDictData> getDictCache(String key)
{
Object cacheObj = SpringUtils.getBean(RedisService.class).getCacheObject(getCacheKey(key));
Object cacheObj = RedisUtils.getCacheObject(getCacheKey(key));
if (StringUtils.isNotNull(cacheObj))
{
List<SysDictData> dictDatas = StringUtils.cast(cacheObj);
@@ -50,7 +50,7 @@ public class DictUtils
*/
public static void removeDictCache(String key)
{
SpringUtils.getBean(RedisService.class).deleteObject(getCacheKey(key));
RedisUtils.deleteObject(getCacheKey(key));
}
/**
@@ -58,8 +58,8 @@ public class DictUtils
*/
public static void clearDictCache()
{
Collection<String> keys = SpringUtils.getBean(RedisService.class).keys(Constants.SYS_DICT_KEY + "*");
SpringUtils.getBean(RedisService.class).deleteObject(keys);
Collection<String> keys = RedisUtils.keys(Constants.SYS_DICT_KEY + "*");
RedisUtils.deleteObject(keys);
}
/**