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v3.0.0 init

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ageerle
2026-02-06 03:00:23 +08:00
parent eb2e8f3ff8
commit 7b8cfe02a1
1524 changed files with 53132 additions and 58866 deletions
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29
ruoyi-common/ruoyi-common-redis/pom.xml
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@@ -1,12 +1,11 @@
<?xml version="1.0" encoding="UTF-8"?>
<project xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xmlns="http://maven.apache.org/POM/4.0.0"
<project xmlns="http://maven.apache.org/POM/4.0.0"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
<parent>
<groupId>org.ruoyi</groupId>
<artifactId>ruoyi-common</artifactId>
<version>${revision}</version>
<relativePath>../pom.xml</relativePath>
</parent>
<modelVersion>4.0.0</modelVersion>
@@ -17,7 +16,7 @@
</description>
<dependencies>
<!-- ruoyi Common Core-->
<!-- RuoYi Common Core-->
<dependency>
<groupId>org.ruoyi</groupId>
<artifactId>ruoyi-common-core</artifactId>
@@ -33,6 +32,28 @@
<groupId>com.baomidou</groupId>
<artifactId>lock4j-redisson-spring-boot-starter</artifactId>
</dependency>
<dependency>
<groupId>com.github.ben-manes.caffeine</groupId>
<artifactId>caffeine</artifactId>
</dependency>
<dependency>
<groupId>com.fasterxml.jackson.datatype</groupId>
<artifactId>jackson-datatype-jsr310</artifactId>
</dependency>
<!-- &lt;!&ndash; redis序列化替代方案 比json快无数的跨语言二进制序列化 &ndash;&gt;-->
<!-- <dependency>-->
<!-- <groupId>org.apache.fury</groupId>-->
<!-- <artifactId>fury-core</artifactId>-->
<!-- <version>0.9.0</version>-->
<!-- </dependency>-->
<!-- <dependency>-->
<!-- <groupId>org.slf4j</groupId>-->
<!-- <artifactId>slf4j-api</artifactId>-->
<!-- </dependency>-->
</dependencies>
</project>

45
ruoyi-common/ruoyi-common-redis/src/main/java/org/ruoyi/common/redis/config/CacheConfig.java Normal file
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@@ -0,0 +1,45 @@
package org.ruoyi.common.redis.config;
import com.github.benmanes.caffeine.cache.Cache;
import com.github.benmanes.caffeine.cache.Caffeine;
import org.ruoyi.common.redis.manager.PlusSpringCacheManager;
import org.springframework.boot.autoconfigure.AutoConfiguration;
import org.springframework.cache.CacheManager;
import org.springframework.cache.annotation.EnableCaching;
import org.springframework.context.annotation.Bean;
import java.util.concurrent.TimeUnit;
/**
* 缓存配置
*
* @author Lion Li
*/
@AutoConfiguration
@EnableCaching
public class CacheConfig {
/**
* caffeine 本地缓存处理器
*/
@Bean
public Cache<Object, Object> caffeine() {
return Caffeine.newBuilder()
// 设置最后一次写入或访问后经过固定时间过期
.expireAfterWrite(30, TimeUnit.SECONDS)
// 初始的缓存空间大小
.initialCapacity(100)
// 缓存的最大条数
.maximumSize(1000)
.build();
}
/**
* 自定义缓存管理器 整合spring-cache
*/
@Bean
public CacheManager cacheManager() {
return new PlusSpringCacheManager();
}
}

101
ruoyi-common/ruoyi-common-redis/src/main/java/org/ruoyi/common/redis/config/RedisConfig.java
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@@ -1,19 +1,31 @@
package org.ruoyi.common.redis.config;
import cn.hutool.core.util.ObjectUtil;
import com.fasterxml.jackson.annotation.JsonAutoDetect;
import com.fasterxml.jackson.annotation.PropertyAccessor;
import com.fasterxml.jackson.databind.ObjectMapper;
import com.fasterxml.jackson.databind.jsontype.impl.LaissezFaireSubTypeValidator;
import com.fasterxml.jackson.datatype.jsr310.JavaTimeModule;
import com.fasterxml.jackson.datatype.jsr310.deser.LocalDateTimeDeserializer;
import com.fasterxml.jackson.datatype.jsr310.ser.LocalDateTimeSerializer;
import lombok.extern.slf4j.Slf4j;
import org.redisson.codec.JsonJacksonCodec;
import org.redisson.spring.starter.RedissonAutoConfigurationCustomizer;
import org.ruoyi.common.core.utils.SpringUtils;
import org.ruoyi.common.redis.config.properties.RedissonProperties;
import org.ruoyi.common.redis.handler.KeyPrefixHandler;
import org.ruoyi.common.redis.manager.PlusSpringCacheManager;
import org.ruoyi.common.redis.handler.RedisExceptionHandler;
import org.redisson.client.codec.StringCodec;
import org.redisson.codec.CompositeCodec;
import org.redisson.codec.TypedJsonJacksonCodec;
import org.redisson.spring.starter.RedissonAutoConfigurationCustomizer;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.autoconfigure.AutoConfiguration;
import org.springframework.boot.context.properties.EnableConfigurationProperties;
import org.springframework.cache.CacheManager;
import org.springframework.cache.annotation.EnableCaching;
import org.springframework.context.annotation.Bean;
import org.springframework.core.task.VirtualThreadTaskExecutor;
import java.time.LocalDateTime;
import java.time.format.DateTimeFormatter;
import java.util.TimeZone;
/**
* redis配置
@@ -22,69 +34,86 @@ import org.springframework.context.annotation.Bean;
*/
@Slf4j
@AutoConfiguration
@EnableCaching
@EnableConfigurationProperties(RedissonProperties.class)
public class RedisConfig {
@Autowired
private RedissonProperties redissonProperties;
@Autowired
private ObjectMapper objectMapper;
@Bean
public RedissonAutoConfigurationCustomizer redissonCustomizer() {
return config -> {
JavaTimeModule javaTimeModule = new JavaTimeModule();
DateTimeFormatter formatter = DateTimeFormatter.ofPattern("yyyy-MM-dd HH:mm:ss");
javaTimeModule.addSerializer(LocalDateTime.class, new LocalDateTimeSerializer(formatter));
javaTimeModule.addDeserializer(LocalDateTime.class, new LocalDateTimeDeserializer(formatter));
ObjectMapper om = new ObjectMapper();
om.registerModule(javaTimeModule);
om.setTimeZone(TimeZone.getDefault());
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。序列化时将对象全类名一起保存下来
om.activateDefaultTyping(LaissezFaireSubTypeValidator.instance, ObjectMapper.DefaultTyping.NON_FINAL);
// LoggerFactory.useSlf4jLogging(true);
// FuryCodec furyCodec = new FuryCodec();
// CompositeCodec codec = new CompositeCodec(StringCodec.INSTANCE, furyCodec, furyCodec);
TypedJsonJacksonCodec jsonCodec = new TypedJsonJacksonCodec(Object.class, om);
// 组合序列化 key 使用 String 内容使用通用 json 格式
CompositeCodec codec = new CompositeCodec(StringCodec.INSTANCE, jsonCodec, jsonCodec);
config.setThreads(redissonProperties.getThreads())
.setNettyThreads(redissonProperties.getNettyThreads())
.setCodec(new JsonJacksonCodec(objectMapper));
.setNettyThreads(redissonProperties.getNettyThreads())
// 缓存 Lua 脚本 减少网络传输(redisson 大部分的功能都是基于 Lua 脚本实现)
.setUseScriptCache(true)
.setCodec(codec);
if (SpringUtils.isVirtual()) {
config.setNettyExecutor(new VirtualThreadTaskExecutor("redisson-"));
}
RedissonProperties.SingleServerConfig singleServerConfig = redissonProperties.getSingleServerConfig();
if (ObjectUtil.isNotNull(singleServerConfig)) {
// 使用单机模式
config.useSingleServer()
//设置redis key前缀
.setNameMapper(new KeyPrefixHandler(redissonProperties.getKeyPrefix()))
.setTimeout(singleServerConfig.getTimeout())
.setClientName(singleServerConfig.getClientName())
.setIdleConnectionTimeout(singleServerConfig.getIdleConnectionTimeout())
.setSubscriptionConnectionPoolSize(singleServerConfig.getSubscriptionConnectionPoolSize())
.setConnectionMinimumIdleSize(singleServerConfig.getConnectionMinimumIdleSize())
.setConnectionPoolSize(singleServerConfig.getConnectionPoolSize());
//设置redis key前缀
.setNameMapper(new KeyPrefixHandler(redissonProperties.getKeyPrefix()))
.setTimeout(singleServerConfig.getTimeout())
.setClientName(singleServerConfig.getClientName())
.setIdleConnectionTimeout(singleServerConfig.getIdleConnectionTimeout())
.setSubscriptionConnectionPoolSize(singleServerConfig.getSubscriptionConnectionPoolSize())
.setConnectionMinimumIdleSize(singleServerConfig.getConnectionMinimumIdleSize())
.setConnectionPoolSize(singleServerConfig.getConnectionPoolSize());
}
// 集群配置方式 参考下方注释
RedissonProperties.ClusterServersConfig clusterServersConfig = redissonProperties.getClusterServersConfig();
if (ObjectUtil.isNotNull(clusterServersConfig)) {
config.useClusterServers()
//设置redis key前缀
.setNameMapper(new KeyPrefixHandler(redissonProperties.getKeyPrefix()))
.setTimeout(clusterServersConfig.getTimeout())
.setClientName(clusterServersConfig.getClientName())
.setIdleConnectionTimeout(clusterServersConfig.getIdleConnectionTimeout())
.setSubscriptionConnectionPoolSize(clusterServersConfig.getSubscriptionConnectionPoolSize())
.setMasterConnectionMinimumIdleSize(clusterServersConfig.getMasterConnectionMinimumIdleSize())
.setMasterConnectionPoolSize(clusterServersConfig.getMasterConnectionPoolSize())
.setSlaveConnectionMinimumIdleSize(clusterServersConfig.getSlaveConnectionMinimumIdleSize())
.setSlaveConnectionPoolSize(clusterServersConfig.getSlaveConnectionPoolSize())
.setReadMode(clusterServersConfig.getReadMode())
.setSubscriptionMode(clusterServersConfig.getSubscriptionMode());
//设置redis key前缀
.setNameMapper(new KeyPrefixHandler(redissonProperties.getKeyPrefix()))
.setTimeout(clusterServersConfig.getTimeout())
.setClientName(clusterServersConfig.getClientName())
.setIdleConnectionTimeout(clusterServersConfig.getIdleConnectionTimeout())
.setSubscriptionConnectionPoolSize(clusterServersConfig.getSubscriptionConnectionPoolSize())
.setMasterConnectionMinimumIdleSize(clusterServersConfig.getMasterConnectionMinimumIdleSize())
.setMasterConnectionPoolSize(clusterServersConfig.getMasterConnectionPoolSize())
.setSlaveConnectionMinimumIdleSize(clusterServersConfig.getSlaveConnectionMinimumIdleSize())
.setSlaveConnectionPoolSize(clusterServersConfig.getSlaveConnectionPoolSize())
.setReadMode(clusterServersConfig.getReadMode())
.setSubscriptionMode(clusterServersConfig.getSubscriptionMode());
}
log.info("初始化 redis 配置");
};
}
/**
* 自定义缓存管理器 整合spring-cache
* 异常处理器
*/
@Bean
public CacheManager cacheManager() {
return new PlusSpringCacheManager();
public RedisExceptionHandler redisExceptionHandler() {
return new RedisExceptionHandler();
}
/**
* 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:
* spring.data:
* redis:
* cluster:
* nodes:
@@ -96,7 +125,7 @@ public class RedisConfig {
* # 连接超时时间
* timeout: 10s
* # 是否开启ssl
* ssl: false
* ssl.enabled: false
*
* redisson:
* # 线程池数量

2
ruoyi-common/ruoyi-common-redis/src/main/java/org/ruoyi/common/redis/handler/KeyPrefixHandler.java
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@@ -1,7 +1,7 @@
package org.ruoyi.common.redis.handler;
import org.redisson.api.NameMapper;
import org.ruoyi.common.core.utils.StringUtils;
import org.redisson.api.NameMapper;
/**
* redis缓存key前缀处理

30
ruoyi-common/ruoyi-common-redis/src/main/java/org/ruoyi/common/redis/handler/RedisExceptionHandler.java Normal file
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@@ -0,0 +1,30 @@
package org.ruoyi.common.redis.handler;
import cn.hutool.http.HttpStatus;
import com.baomidou.lock.exception.LockFailureException;
import jakarta.servlet.http.HttpServletRequest;
import lombok.extern.slf4j.Slf4j;
import org.ruoyi.common.core.domain.R;
import org.springframework.web.bind.annotation.ExceptionHandler;
import org.springframework.web.bind.annotation.RestControllerAdvice;
/**
* Redis异常处理器
*
* @author AprilWind
*/
@Slf4j
@RestControllerAdvice
public class RedisExceptionHandler {
/**
* 分布式锁Lock4j异常
*/
@ExceptionHandler(LockFailureException.class)
public R<Void> handleLockFailureException(LockFailureException e, HttpServletRequest request) {
String requestURI = request.getRequestURI();
log.error("获取锁失败了'{}',发生Lock4j异常.", requestURI, e);
return R.fail(HttpStatus.HTTP_UNAVAILABLE, "业务处理中，请稍后再试...");
}
}

97
ruoyi-common/ruoyi-common-redis/src/main/java/org/ruoyi/common/redis/manager/CaffeineCacheDecorator.java Normal file
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@@ -0,0 +1,97 @@
package org.ruoyi.common.redis.manager;
import org.ruoyi.common.core.utils.SpringUtils;
import org.springframework.cache.Cache;
import java.util.concurrent.Callable;
/**
* Cache 装饰器模式(用于扩展 Caffeine 一级缓存)
*
* @author LionLi
*/
public class CaffeineCacheDecorator implements Cache {
private static final com.github.benmanes.caffeine.cache.Cache<Object, Object>
CAFFEINE = SpringUtils.getBean("caffeine");
private final String name;
private final Cache cache;
public CaffeineCacheDecorator(String name, Cache cache) {
this.name = name;
this.cache = cache;
}
@Override
public String getName() {
return name;
}
@Override
public Object getNativeCache() {
return cache.getNativeCache();
}
public String getUniqueKey(Object key) {
return name + ":" + key;
}
@Override
public ValueWrapper get(Object key) {
Object o = CAFFEINE.get(getUniqueKey(key), k -> cache.get(key));
return (ValueWrapper) o;
}
@SuppressWarnings("unchecked")
@Override
public <T> T get(Object key, Class<T> type) {
Object o = CAFFEINE.get(getUniqueKey(key), k -> cache.get(key, type));
return (T) o;
}
@Override
public void put(Object key, Object value) {
CAFFEINE.invalidate(getUniqueKey(key));
cache.put(key, value);
}
@Override
public ValueWrapper putIfAbsent(Object key, Object value) {
CAFFEINE.invalidate(getUniqueKey(key));
return cache.putIfAbsent(key, value);
}
@Override
public void evict(Object key) {
evictIfPresent(key);
}
@Override
public boolean evictIfPresent(Object key) {
boolean b = cache.evictIfPresent(key);
if (b) {
CAFFEINE.invalidate(getUniqueKey(key));
}
return b;
}
@Override
public void clear() {
CAFFEINE.invalidateAll();
cache.clear();
}
@Override
public boolean invalidate() {
return cache.invalidate();
}
@SuppressWarnings("unchecked")
@Override
public <T> T get(Object key, Callable<T> valueLoader) {
Object o = CAFFEINE.get(getUniqueKey(key), k -> cache.get(key, valueLoader));
return (T) o;
}
}

200
ruoyi-common/ruoyi-common-redis/src/main/java/org/ruoyi/common/redis/manager/PlusSpringCacheManager.java
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@@ -1,12 +1,12 @@
/**
* Copyright (c) 2013-2021 Nikita Koksharov
* <p>
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
* <p>
* http://www.apache.org/licenses/LICENSE-2.0
* <p>
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
@@ -15,11 +15,11 @@
*/
package org.ruoyi.common.redis.manager;
import org.ruoyi.common.redis.utils.RedisUtils;
import org.redisson.api.RMap;
import org.redisson.api.RMapCache;
import org.redisson.spring.cache.CacheConfig;
import org.redisson.spring.cache.RedissonCache;
import org.ruoyi.common.redis.utils.RedisUtils;
import org.springframework.boot.convert.DurationStyle;
import org.springframework.cache.Cache;
import org.springframework.cache.CacheManager;
@@ -33,7 +33,7 @@ import java.util.concurrent.ConcurrentHashMap;
import java.util.concurrent.ConcurrentMap;
/**
* A {@link CacheManager} implementation
* A {@link org.springframework.cache.CacheManager} implementation
* backed by Redisson instance.
* <p>
* 修改 RedissonSpringCacheManager 源码
@@ -45,11 +45,14 @@ import java.util.concurrent.ConcurrentMap;
@SuppressWarnings("unchecked")
public class PlusSpringCacheManager implements CacheManager {
private boolean dynamic = true;
private boolean allowNullValues = true;
private boolean transactionAware = true;
Map<String, CacheConfig> configMap = new ConcurrentHashMap<>();
ConcurrentMap<String, Cache> instanceMap = new ConcurrentHashMap<>();
private boolean dynamic = true;
private boolean allowNullValues = true;
private boolean transactionAware = true;
/**
* Creates CacheManager supplied by Redisson instance
@@ -81,90 +84,6 @@ public class PlusSpringCacheManager implements CacheManager {
this.transactionAware = transactionAware;
}
/**
* Set cache config mapped by cache name
*
* @param config object
*/
public void setConfig(Map<String, ? extends CacheConfig> config) {
this.configMap = (Map<String, CacheConfig>) config;
}
protected CacheConfig createDefaultConfig() {
return new CacheConfig();
}
@Override
public Cache getCache(String name) {
Cache cache = instanceMap.get(name);
if (cache != null) {
return cache;
}
if (!dynamic) {
return cache;
}
CacheConfig config = configMap.get(name);
if (config == null) {
config = createDefaultConfig();
configMap.put(name, config);
}
// 重写 cacheName 支持多参数
String[] array = StringUtils.delimitedListToStringArray(name, "#");
name = array[0];
if (array.length > 1) {
config.setTTL(DurationStyle.detectAndParse(array[1]).toMillis());
}
if (array.length > 2) {
config.setMaxIdleTime(DurationStyle.detectAndParse(array[2]).toMillis());
}
if (array.length > 3) {
config.setMaxSize(Integer.parseInt(array[3]));
}
if (config.getMaxIdleTime() == 0 && config.getTTL() == 0 && config.getMaxSize() == 0) {
return createMap(name, config);
}
return createMapCache(name, config);
}
private Cache createMap(String name, CacheConfig config) {
RMap<Object, Object> map = RedisUtils.getClient().getMap(name);
Cache cache = new RedissonCache(map, allowNullValues);
if (transactionAware) {
cache = new TransactionAwareCacheDecorator(cache);
}
Cache oldCache = instanceMap.putIfAbsent(name, cache);
if (oldCache != null) {
cache = oldCache;
}
return cache;
}
private Cache createMapCache(String name, CacheConfig config) {
RMapCache<Object, Object> map = RedisUtils.getClient().getMapCache(name);
Cache cache = new RedissonCache(map, config, allowNullValues);
if (transactionAware) {
cache = new TransactionAwareCacheDecorator(cache);
}
Cache oldCache = instanceMap.putIfAbsent(name, cache);
if (oldCache != null) {
cache = oldCache;
} else {
map.setMaxSize(config.getMaxSize());
}
return cache;
}
@Override
public Collection<String> getCacheNames() {
return Collections.unmodifiableSet(configMap.keySet());
}
/**
* Defines 'fixed' cache names.
* A new cache instance will not be created in dynamic for non-defined names.
@@ -184,5 +103,100 @@ public class PlusSpringCacheManager implements CacheManager {
}
}
/**
* Set cache config mapped by cache name
*
* @param config object
*/
public void setConfig(Map<String, ? extends CacheConfig> config) {
this.configMap = (Map<String, CacheConfig>) config;
}
protected CacheConfig createDefaultConfig() {
return new CacheConfig();
}
@Override
public Cache getCache(String name) {
// 重写 cacheName 支持多参数
String[] array = StringUtils.delimitedListToStringArray(name, "#");
name = array[0];
Cache cache = instanceMap.get(name);
if (cache != null) {
return cache;
}
if (!dynamic) {
return cache;
}
CacheConfig config = configMap.get(name);
if (config == null) {
config = createDefaultConfig();
configMap.put(name, config);
}
if (array.length > 1) {
config.setTTL(DurationStyle.detectAndParse(array[1]).toMillis());
}
if (array.length > 2) {
config.setMaxIdleTime(DurationStyle.detectAndParse(array[2]).toMillis());
}
if (array.length > 3) {
config.setMaxSize(Integer.parseInt(array[3]));
}
int local = 1;
if (array.length > 4) {
local = Integer.parseInt(array[4]);
}
if (config.getMaxIdleTime() == 0 && config.getTTL() == 0 && config.getMaxSize() == 0) {
return createMap(name, config, local);
}
return createMapCache(name, config, local);
}
private Cache createMap(String name, CacheConfig config, int local) {
RMap<Object, Object> map = RedisUtils.getClient().getMap(name);
Cache cache = new RedissonCache(map, allowNullValues);
if (local == 1) {
cache = new CaffeineCacheDecorator(name, cache);
}
if (transactionAware) {
cache = new TransactionAwareCacheDecorator(cache);
}
Cache oldCache = instanceMap.putIfAbsent(name, cache);
if (oldCache != null) {
cache = oldCache;
}
return cache;
}
private Cache createMapCache(String name, CacheConfig config, int local) {
RMapCache<Object, Object> map = RedisUtils.getClient().getMapCache(name);
Cache cache = new RedissonCache(map, config, allowNullValues);
if (local == 1) {
cache = new CaffeineCacheDecorator(name, cache);
}
if (transactionAware) {
cache = new TransactionAwareCacheDecorator(cache);
}
Cache oldCache = instanceMap.putIfAbsent(name, cache);
if (oldCache != null) {
cache = oldCache;
} else {
map.setMaxSize(config.getMaxSize());
}
return cache;
}
@Override
public Collection<String> getCacheNames() {
return Collections.unmodifiableSet(configMap.keySet());
}
}

16
ruoyi-common/ruoyi-common-redis/src/main/java/org/ruoyi/common/redis/utils/CacheUtils.java
View File

@@ -2,18 +2,14 @@ package org.ruoyi.common.redis.utils;
import lombok.AccessLevel;
import lombok.NoArgsConstructor;
import org.redisson.api.RMap;
import org.ruoyi.common.core.utils.SpringUtils;
import org.springframework.cache.Cache;
import org.springframework.cache.CacheManager;
import java.util.Set;
/**
* 缓存操作工具类 {@link }
* 缓存操作工具类
*
* @author Michelle.Chung
* @date 2022/8/13
*/
@NoArgsConstructor(access = AccessLevel.PRIVATE)
@SuppressWarnings(value = {"unchecked"})
@@ -21,16 +17,6 @@ public class CacheUtils {
private static final CacheManager CACHE_MANAGER = SpringUtils.getBean(CacheManager.class);
/**
* 获取缓存组内所有的KEY
*
* @param cacheNames 缓存组名称
*/
public static Set<Object> keys(String cacheNames) {
RMap<Object, Object> rmap = (RMap<Object, Object>) CACHE_MANAGER.getCache(cacheNames).getNativeCache();
return rmap.keySet();
}
/**
* 获取缓存值
*

71
ruoyi-common/ruoyi-common-redis/src/main/java/org/ruoyi/common/redis/utils/QueueUtils.java
View File

@@ -2,11 +2,12 @@ package org.ruoyi.common.redis.utils;
import lombok.AccessLevel;
import lombok.NoArgsConstructor;
import org.redisson.api.*;
import org.ruoyi.common.core.utils.SpringUtils;
import org.redisson.api.*;
import java.util.concurrent.CompletionStage;
import java.util.concurrent.TimeUnit;
import java.util.function.Consumer;
import java.util.function.Function;
/**
* 分布式队列工具
@@ -15,7 +16,9 @@ import java.util.function.Consumer;
*
* @author Lion Li
* @version 3.6.0 新增
* @deprecated redisson 新版本已经将队列功能标记删除 一些技术问题无法解决 建议搭建MQ使用
*/
@Deprecated
@NoArgsConstructor(access = AccessLevel.PRIVATE)
public class QueueUtils {
@@ -131,6 +134,32 @@ public class QueueUtils {
return priorityBlockingQueue.offer(data);
}
/**
* 优先队列获取一个队列数据 没有数据返回 null(不支持延迟队列)
*
* @param queueName 队列名
*/
public static <T> T getPriorityQueueObject(String queueName) {
RPriorityBlockingQueue<T> queue = CLIENT.getPriorityBlockingQueue(queueName);
return queue.poll();
}
/**
* 优先队列删除队列数据(不支持延迟队列)
*/
public static <T> boolean removePriorityQueueObject(String queueName, T data) {
RPriorityBlockingQueue<T> queue = CLIENT.getPriorityBlockingQueue(queueName);
return queue.remove(data);
}
/**
* 优先队列销毁队列 所有阻塞监听 报错(不支持延迟队列)
*/
public static <T> boolean destroyPriorityQueue(String queueName) {
RPriorityBlockingQueue<T> queue = CLIENT.getPriorityBlockingQueue(queueName);
return queue.delete();
}
/**
* 尝试设置 有界队列 容量 用于限制数量
*
@@ -147,12 +176,12 @@ public class QueueUtils {
*
* @param queueName 队列名
* @param capacity 容量
* @param destroy 已存在是否销毁
* @param destroy 是否销毁
*/
public static <T> boolean trySetBoundedQueueCapacity(String queueName, int capacity, boolean destroy) {
RBoundedBlockingQueue<T> boundedBlockingQueue = CLIENT.getBoundedBlockingQueue(queueName);
if (boundedBlockingQueue.isExists() && destroy) {
destroyQueue(queueName);
if (destroy) {
boundedBlockingQueue.delete();
}
return boundedBlockingQueue.trySetCapacity(capacity);
}
@@ -169,11 +198,41 @@ public class QueueUtils {
return boundedBlockingQueue.offer(data);
}
/**
* 有界队列获取一个队列数据 没有数据返回 null(不支持延迟队列)
*
* @param queueName 队列名
*/
public static <T> T getBoundedQueueObject(String queueName) {
RBoundedBlockingQueue<T> queue = CLIENT.getBoundedBlockingQueue(queueName);
return queue.poll();
}
/**
* 有界队列删除队列数据(不支持延迟队列)
*/
public static <T> boolean removeBoundedQueueObject(String queueName, T data) {
RBoundedBlockingQueue<T> queue = CLIENT.getBoundedBlockingQueue(queueName);
return queue.remove(data);
}
/**
* 有界队列销毁队列 所有阻塞监听 报错(不支持延迟队列)
*/
public static <T> boolean destroyBoundedQueue(String queueName) {
RBoundedBlockingQueue<T> queue = CLIENT.getBoundedBlockingQueue(queueName);
return queue.delete();
}
/**
* 订阅阻塞队列(可订阅所有实现类 例如: 延迟 优先 有界 等)
*/
public static <T> void subscribeBlockingQueue(String queueName, Consumer<T> consumer) {
public static <T> void subscribeBlockingQueue(String queueName, Function<T, CompletionStage<Void>> consumer, boolean isDelayed) {
RBlockingQueue<T> queue = CLIENT.getBlockingQueue(queueName);
if (isDelayed) {
// 订阅延迟队列
CLIENT.getDelayedQueue(queue);
}
queue.subscribeOnElements(consumer);
}

145
ruoyi-common/ruoyi-common-redis/src/main/java/org/ruoyi/common/redis/utils/RedisUtils.java
View File

@@ -2,8 +2,9 @@ package org.ruoyi.common.redis.utils;
import lombok.AccessLevel;
import lombok.NoArgsConstructor;
import org.redisson.api.*;
import org.ruoyi.common.core.utils.SpringUtils;
import org.redisson.api.*;
import org.redisson.api.options.KeysScanOptions;
import java.time.Duration;
import java.util.Collection;
@@ -36,8 +37,22 @@ public class RedisUtils {
* @return -1 表示失败
*/
public static long rateLimiter(String key, RateType rateType, int rate, int rateInterval) {
return rateLimiter(key, rateType, rate, rateInterval, 0);
}
/**
* 限流
*
* @param key 限流key
* @param rateType 限流类型
* @param rate 速率
* @param rateInterval 速率间隔
* @param timeout 超时时间
* @return -1 表示失败
*/
public static long rateLimiter(String key, RateType rateType, int rate, int rateInterval, int timeout) {
RRateLimiter rateLimiter = CLIENT.getRateLimiter(key);
rateLimiter.trySetRate(rateType, rate, rateInterval, RateIntervalUnit.SECONDS);
rateLimiter.trySetRate(rateType, rate, Duration.ofSeconds(rateInterval), Duration.ofSeconds(timeout));
if (rateLimiter.tryAcquire()) {
return rateLimiter.availablePermits();
} else {
@@ -65,6 +80,12 @@ public class RedisUtils {
consumer.accept(msg);
}
/**
* 发布消息到指定的频道
*
* @param channelKey 通道key
* @param msg 发送数据
*/
public static <T> void publish(String channelKey, T msg) {
RTopic topic = CLIENT.getTopic(channelKey);
topic.publish(msg);
@@ -107,7 +128,11 @@ public class RedisUtils {
bucket.setAndKeepTTL(value);
} catch (Exception e) {
long timeToLive = bucket.remainTimeToLive();
setCacheObject(key, value, Duration.ofMillis(timeToLive));
if (timeToLive == -1) {
bucket.set(value);
} else {
bucket.set(value, Duration.ofMillis(timeToLive));
}
}
} else {
bucket.set(value);
@@ -122,11 +147,32 @@ public class RedisUtils {
* @param duration 时间
*/
public static <T> void setCacheObject(final String key, final T value, final Duration duration) {
RBatch batch = CLIENT.createBatch();
RBucketAsync<T> bucket = batch.getBucket(key);
bucket.setAsync(value);
bucket.expireAsync(duration);
batch.execute();
RBucket<T> bucket = CLIENT.getBucket(key);
bucket.set(value, duration);
}
/**
* 如果不存在则设置 并返回 true 如果存在则返回 false
*
* @param key 缓存的键值
* @param value 缓存的值
* @return set成功或失败
*/
public static <T> boolean setObjectIfAbsent(final String key, final T value, final Duration duration) {
RBucket<T> bucket = CLIENT.getBucket(key);
return bucket.setIfAbsent(value, duration);
}
/**
* 如果存在则设置 并返回 true 如果存在则返回 false
*
* @param key 缓存的键值
* @param value 缓存的值
* @return set成功或失败
*/
public static <T> boolean setObjectIfExists(final String key, final T value, final Duration duration) {
RBucket<T> bucket = CLIENT.getBucket(key);
return bucket.setIfExists(value, duration);
}
/**
@@ -230,6 +276,18 @@ public class RedisUtils {
return rList.addAll(dataList);
}
/**
* 追加缓存List数据
*
* @param key 缓存的键值
* @param data 待缓存的数据
* @return 缓存的对象
*/
public static <T> boolean addCacheList(final String key, final T data) {
RList<T> rList = CLIENT.getList(key);
return rList.add(data);
}
/**
* 注册List监听器
* <p>
@@ -254,6 +312,19 @@ public class RedisUtils {
return rList.readAll();
}
/**
* 获得缓存的list对象(范围)
*
* @param key 缓存的键值
* @param form 起始下标
* @param to 截止下标
* @return 缓存键值对应的数据
*/
public static <T> List<T> getCacheListRange(final String key, int form, int to) {
RList<T> rList = CLIENT.getList(key);
return rList.range(form, to);
}
/**
* 缓存Set
*
@@ -266,6 +337,18 @@ public class RedisUtils {
return rSet.addAll(dataSet);
}
/**
* 追加缓存Set数据
*
* @param key 缓存的键值
* @param data 待缓存的数据
* @return 缓存的对象
*/
public static <T> boolean addCacheSet(final String key, final T data) {
RSet<T> rSet = CLIENT.getSet(key);
return rSet.add(data);
}
/**
* 注册Set监听器
* <p>
@@ -374,6 +457,21 @@ public class RedisUtils {
return rMap.remove(hKey);
}
/**
* 删除Hash中的数据
*
* @param key Redis键
* @param hKeys Hash键
*/
public static <T> void delMultiCacheMapValue(final String key, final Set<String> hKeys) {
RBatch batch = CLIENT.createBatch();
RMapAsync<String, T> rMap = batch.getMap(key);
for (String hKey : hKeys) {
rMap.removeAsync(hKey);
}
batch.execute();
}
/**
* 获取多个Hash中的数据
*
@@ -431,18 +529,39 @@ public class RedisUtils {
}
/**
* 获得缓存的基本对象列表
*
* 获得缓存的基本对象列表(全局匹配忽略租户 自行拼接租户id)
* <P>
* limit-设置扫描的限制数量(默认为0,查询全部)
* pattern-设置键的匹配模式(默认为null)
* chunkSize-设置每次扫描的块大小(默认为0,本方法设置为1000)
* type-设置键的类型(默认为null,查询全部类型)
* </P>
* @see KeysScanOptions
* @param pattern 字符串前缀
* @return 对象列表
*/
public static Collection<String> keys(final String pattern) {
Stream<String> stream = CLIENT.getKeys().getKeysStreamByPattern(pattern);
return stream.collect(Collectors.toList());
return keys(KeysScanOptions.defaults().pattern(pattern).chunkSize(1000));
}
/**
* 删除缓存的基本对象列表
* 通过扫描参数获取缓存的基本对象列表
* @param keysScanOptions 扫描参数
* <P>
* limit-设置扫描的限制数量(默认为0,查询全部)
* pattern-设置键的匹配模式(默认为null)
* chunkSize-设置每次扫描的块大小(默认为0)
* type-设置键的类型(默认为null,查询全部类型)
* </P>
* @see KeysScanOptions
*/
public static Collection<String> keys(final KeysScanOptions keysScanOptions) {
Stream<String> keysStream = CLIENT.getKeys().getKeysStream(keysScanOptions);
return keysStream.collect(Collectors.toList());
}
/**
* 删除缓存的基本对象列表(全局匹配忽略租户 自行拼接租户id)
*
* @param pattern 字符串前缀
*/

351
ruoyi-common/ruoyi-common-redis/src/main/java/org/ruoyi/common/redis/utils/SequenceUtils.java Normal file
View File

@@ -0,0 +1,351 @@
package org.ruoyi.common.redis.utils;
import cn.hutool.core.convert.Convert;
import cn.hutool.core.date.DatePattern;
import lombok.AccessLevel;
import lombok.NoArgsConstructor;
import org.ruoyi.common.core.utils.SpringUtils;
import org.ruoyi.common.core.utils.StringUtils;
import org.redisson.api.RIdGenerator;
import org.redisson.api.RedissonClient;
import java.time.Duration;
import java.time.LocalDate;
import java.time.LocalDateTime;
import java.time.format.DateTimeFormatter;
import java.time.temporal.TemporalAccessor;
/**
* 发号器工具类
*
* @author 秋辞未寒
* @date 2024-12-10
*/
@NoArgsConstructor(access = AccessLevel.PRIVATE)
public class SequenceUtils {
/**
* 默认初始值
*/
public static final long DEFAULT_INIT_VALUE = 1L;
/**
* 默认步长
*/
public static final long DEFAULT_STEP_VALUE = 1L;
/**
* 默认过期时间-天
*/
public static final Duration DEFAULT_EXPIRE_TIME_DAY = Duration.ofDays(1);
/**
* 默认过期时间-分钟
*/
public static final Duration DEFAULT_EXPIRE_TIME_MINUTE = Duration.ofMinutes(1);
/**
* 默认最小ID容量位数 - 6位数（即至少可以生成的ID为999999个）
*/
public static final int DEFAULT_MIN_ID_CAPACITY_BITS = 6;
/**
* 获取Redisson客户端实例
*/
private static final RedissonClient REDISSON_CLIENT = SpringUtils.getBean(RedissonClient.class);
/**
* 获取ID生成器
*
* @param key 业务key
* @param expireTime 过期时间
* @param initValue ID初始值
* @param stepValue ID步长
* @return ID生成器
*/
public static RIdGenerator getIdGenerator(String key, Duration expireTime, long initValue, long stepValue) {
RIdGenerator idGenerator = REDISSON_CLIENT.getIdGenerator(key);
// 初始值和步长不能小于等于0
initValue = initValue <= 0 ? DEFAULT_INIT_VALUE : initValue;
stepValue = stepValue <= 0 ? DEFAULT_STEP_VALUE : stepValue;
// 设置初始值和步长
idGenerator.tryInit(initValue, stepValue);
// 设置过期时间
idGenerator.expire(expireTime);
return idGenerator;
}
/**
* 获取ID生成器
*
* @param key 业务key
* @param expireTime 过期时间
* @return ID生成器
*/
public static RIdGenerator getIdGenerator(String key, Duration expireTime) {
return getIdGenerator(key, expireTime, DEFAULT_INIT_VALUE, DEFAULT_STEP_VALUE);
}
/**
* 获取指定业务key的唯一id
*
* @param key 业务key
* @param expireTime 过期时间
* @param initValue ID初始值
* @param stepValue ID步长
* @return 唯一id
*/
public static long getNextId(String key, Duration expireTime, long initValue, long stepValue) {
return getIdGenerator(key, expireTime, initValue, stepValue).nextId();
}
/**
* 获取指定业务key的唯一id (ID初始值=1,ID步长=1)
*
* @param key 业务key
* @param expireTime 过期时间
* @return 唯一id
*/
public static long getNextId(String key, Duration expireTime) {
return getIdGenerator(key, expireTime).nextId();
}
/**
* 获取指定业务key的唯一id字符串
*
* @param key 业务key
* @param expireTime 过期时间
* @param initValue ID初始值
* @param stepValue ID步长
* @return 唯一id
*/
public static String getNextIdString(String key, Duration expireTime, long initValue, long stepValue) {
return Convert.toStr(getNextId(key, expireTime, initValue, stepValue));
}
/**
* 获取指定业务key的唯一id字符串 (ID初始值=1,ID步长=1)
*
* @param key 业务key
* @param expireTime 过期时间
* @return 唯一id
*/
public static String getNextIdString(String key, Duration expireTime) {
return Convert.toStr(getNextId(key, expireTime));
}
/**
* 获取指定业务key的唯一id字符串 (ID初始值=1,ID步长=1)，不足位数自动补零
*
* @param key 业务key
* @param expireTime 过期时间
* @param width 位数，不足左补0
* @return 补零后的唯一id字符串
*/
public static String getPaddedNextIdString(String key, Duration expireTime, Integer width) {
return StringUtils.leftPad(getNextIdString(key, expireTime), width, '0');
}
/**
* 获取 yyyyMMdd 格式的唯一id
*
* @return 唯一id
* @deprecated 请使用 {@link #getDateId(String)} 或 {@link #getDateId(String, boolean)}、{@link #getDateId(String, boolean, int)}，确保不同业务的ID连续性
*/
@Deprecated
public static String getDateId() {
return getDateId("");
}
/**
* 获取 prefix + yyyyMMdd 格式的唯一id
*
* @param prefix 业务前缀
* @return 唯一id
*/
public static String getDateId(String prefix) {
return getDateId(prefix, true);
}
/**
* 获取 prefix + yyyyMMdd 格式的唯一id
*
* @param prefix 业务前缀
* @param isWithPrefix id是否携带业务前缀
* @return 唯一id
*/
public static String getDateId(String prefix, boolean isWithPrefix) {
return getDateId(prefix, isWithPrefix, -1);
}
/**
* 获取 prefix + yyyyMMdd 格式的唯一id (启用ID补位，补位长度 = {@link #DEFAULT_MIN_ID_CAPACITY_BITS})}）
*
* @param prefix 业务前缀
* @param isWithPrefix id是否携带业务前缀
* @return 唯一id
*/
public static String getPaddedDateId(String prefix, boolean isWithPrefix) {
return getDateId(prefix, isWithPrefix, DEFAULT_MIN_ID_CAPACITY_BITS);
}
/**
* 获取 prefix + yyyyMMdd 格式的唯一id
*
* @param prefix 业务前缀
* @param isWithPrefix id是否携带业务前缀
* @param minIdCapacityBits 最小ID容量位数，小于该位数的ID，左补0（小于等于0表示不启用补位）
* @return 唯一id
*/
public static String getDateId(String prefix, boolean isWithPrefix, int minIdCapacityBits) {
return getDateId(prefix, isWithPrefix, minIdCapacityBits, LocalDate.now());
}
/**
* 获取 prefix + yyyyMMdd 格式的唯一id
*
* @param prefix 业务前缀
* @param isWithPrefix id是否携带业务前缀
* @param minIdCapacityBits 最小ID容量位数，小于该位数的ID，左补0（小于等于0表示不启用补位）
* @param time 时间
* @return 唯一id
*/
public static String getDateId(String prefix, boolean isWithPrefix, int minIdCapacityBits, LocalDate time) {
return getDateId(prefix, isWithPrefix, minIdCapacityBits, time, DEFAULT_INIT_VALUE, DEFAULT_STEP_VALUE);
}
/**
* 获取 prefix + yyyyMMdd 格式的唯一id
*
* @param prefix 业务前缀
* @param isWithPrefix id是否携带业务前缀
* @param minIdCapacityBits 最小ID容量位数，小于该位数的ID，左补0（小于等于0表示不启用补位）
* @param time 时间
* @param initValue ID初始值
* @param stepValue ID步长
* @return 唯一id
*/
public static String getDateId(String prefix, boolean isWithPrefix, int minIdCapacityBits, LocalDate time, long initValue, long stepValue) {
return getDatePatternId(prefix, isWithPrefix, minIdCapacityBits, time, DatePattern.PURE_DATE_FORMATTER, DEFAULT_EXPIRE_TIME_DAY, initValue, stepValue);
}
/**
* 获取 yyyyMMddHHmmss 格式的唯一id
*
* @return 唯一id
* @deprecated 请使用 {@link #getDateTimeId(String)} 或 {@link #getDateTimeId(String, boolean)}、{@link #getDateTimeId(String, boolean, int)}，确保不同业务的ID连续性
*/
@Deprecated
public static String getDateTimeId() {
return getDateTimeId("", false);
}
/**
* 获取 prefix + yyyyMMddHHmmss 格式的唯一id
*
* @param prefix 业务前缀
* @return 唯一id
*/
public static String getDateTimeId(String prefix) {
return getDateTimeId(prefix, true);
}
/**
* 获取 prefix + yyyyMMddHHmmss 格式的唯一id
*
* @param prefix 业务前缀
* @param isWithPrefix id是否携带业务前缀
* @return 唯一id
*/
public static String getDateTimeId(String prefix, boolean isWithPrefix) {
return getDateTimeId(prefix, isWithPrefix, -1);
}
/**
* 获取 prefix + yyyyMMddHHmmss 格式的唯一id (启用ID补位，补位长度 = {@link #DEFAULT_MIN_ID_CAPACITY_BITS})}）
*
* @param prefix 业务前缀
* @param isWithPrefix id是否携带业务前缀
* @return 唯一id
*/
public static String getPaddedDateTimeId(String prefix, boolean isWithPrefix) {
return getDateTimeId(prefix, isWithPrefix, DEFAULT_MIN_ID_CAPACITY_BITS);
}
/**
* 获取 prefix + yyyyMMddHHmmss 格式的唯一id
*
* @param prefix 业务前缀
* @param isWithPrefix id是否携带业务前缀
* @param minIdCapacityBits 最小ID容量位数，小于该位数的ID，左补0（小于等于0表示不启用补位）
* @return 唯一id
*/
public static String getDateTimeId(String prefix, boolean isWithPrefix, int minIdCapacityBits) {
return getDateTimeId(prefix, isWithPrefix, minIdCapacityBits, LocalDateTime.now());
}
/**
* 获取 prefix + yyyyMMddHHmmss 格式的唯一id
*
* @param prefix 业务前缀
* @param isWithPrefix id是否携带业务前缀
* @param minIdCapacityBits 最小ID容量位数，小于该位数的ID，左补0（小于等于0表示不启用补位）
* @param time 时间
* @return 唯一id
*/
public static String getDateTimeId(String prefix, boolean isWithPrefix, int minIdCapacityBits, LocalDateTime time) {
return getDateTimeId(prefix, isWithPrefix, minIdCapacityBits, time, DEFAULT_INIT_VALUE, DEFAULT_STEP_VALUE);
}
/**
* 获取 prefix + yyyyMMddHHmmss 格式的唯一id
*
* @param prefix 业务前缀
* @param isWithPrefix id是否携带业务前缀
* @param minIdCapacityBits 最小ID容量位数，小于该位数的ID，左补0（小于等于0表示不启用补位）
* @param initValue ID初始值
* @param stepValue ID步长
* @return 唯一id
*/
public static String getDateTimeId(String prefix, boolean isWithPrefix, int minIdCapacityBits, LocalDateTime time, long initValue, long stepValue) {
return getDatePatternId(prefix, isWithPrefix, minIdCapacityBits, time, DatePattern.PURE_DATETIME_FORMATTER, DEFAULT_EXPIRE_TIME_MINUTE, initValue, stepValue);
}
/**
* 获取指定业务key的指定时间格式的ID
*
* @param prefix 业务前缀
* @param isWithPrefix id是否携带业务前缀
* @param minIdCapacityBits 最小ID容量位数，小于该位数的ID，左补0（小于等于0表示不启用补位）
* @param temporalAccessor 时间访问器
* @param timeFormatter 时间格式
* @param expireTime 过期时间
* @param initValue ID初始值
* @param stepValue ID步长
* @return 唯一id
*/
private static String getDatePatternId(String prefix, boolean isWithPrefix, int minIdCapacityBits, TemporalAccessor temporalAccessor, DateTimeFormatter timeFormatter, Duration expireTime, long initValue, long stepValue) {
// 时间前缀
String timePrefix = timeFormatter.format(temporalAccessor);
// 业务前缀 + 时间前缀 构建 prefixKey
String prefixKey = StringUtils.format("{}{}", StringUtils.blankToDefault(prefix, ""), timePrefix);
// 获取id，例 -> 1
String nextId = getNextIdString(prefixKey, expireTime, initValue, stepValue);
// minIdCapacityBits 大于0，且 nextId 的长度小于 minIdCapacityBits，则左补0
if (minIdCapacityBits > 0 && nextId.length() < minIdCapacityBits) {
nextId = StringUtils.leftPad(nextId, minIdCapacityBits, '0');
}
// 是否携带业务前缀
if (isWithPrefix) {
// 例 -> P202507031
// 其中 P 为业务前缀，202507031 为 yyyyMMdd 格式时间, 1 为nextId
return StringUtils.format("{}{}", prefixKey, nextId);
}
// 例 -> 202507031
// 其中 202507031 为 yyyyMMdd 格式时间, 1 为nextId
return StringUtils.format("{}{}", timePrefix, nextId);
}
}

1
ruoyi-common/ruoyi-common-redis/src/main/resources/META-INF/spring/org.springframework.boot.autoconfigure.AutoConfiguration.imports
View File

@@ -1 +1,2 @@
org.ruoyi.common.redis.config.RedisConfig
org.ruoyi.common.redis.config.CacheConfig