SpringBoot-WebFlux-Redis快取註解
阿新 • • 發佈:2020-11-26
摘要
- 通過本文,你將知道如何在WebFlux專案中通過redis註解快取方法的返回值
- 本專案基於springboot:2.4.0,jdk1.8,並使用Maven構建
- 程式碼地址:
前言
最近在使用WebFlux時發現,SpringBoot提供的@Cacheable,@CachePut,@CacheEvict和@Caching註解不支援響應式方法,SpringBoot官方也沒有提供響應式方法的快取註解,看到網上的一些解決方案都是直接在方法程式碼中加入快取資料的程式碼邏輯,這樣雖然可以解決問題,但是程式碼侵入並不優雅,於是萌生自己寫一個基於redis的響應式方法快取註解的想法,本專案參考SpringBoot提供的@Cacheable,@CachePut,@CacheEvict和@Caching註解宣告,但是隻是實現了一些基本功能,可以滿足絕大部分使用場景的要求,因為SpringBoot早晚會給出官方解決方案,在此之前,不妨一試。
使用示例
- 本專案已經發布到maven中央倉庫,直接在專案中新增依賴即可。
- 本專案雖然基於springboot:2.4.0構建,但實際上springboot2.0+都可以使用。
- maven依賴
<dependency> <groupId>com.hanqunfeng</groupId> <artifactId>reactive-redis-cache-annotation-spring-boot-starter</artifactId> <version>1.0.1</version> </dependency>
- gradle依賴
implementation 'com.hanqunfeng:reactive-redis-cache-annotation-spring-boot-starter:1.0.1'
- 此時專案中可能還要新增其它依賴,以gradle舉例
//webflux,非必須,主要是面向響應式程式設計的,所以使用springboot大概率會使用webflux implementation 'org.springframework.boot:spring-boot-starter-webflux' //Spring Boot Redis 依賴,或者spring-boot-starter-data-redis-reactive,任選其一即可,注意要在配置檔案中加入redis的配置 implementation 'org.springframework.boot:spring-boot-starter-data-redis' //redis lettuce連線池依賴,也可以使用jedis連線池,非必須,正式環境建議開啟連線池 implementation 'org.apache.commons:commons-pool2' //aop 面向方面程式設計 支援@Aspect,非必須 implementation 'org.springframework.boot:spring-boot-starter-aop'
- 方法返回值必須是Mono或者Flux型別,使用方式與springboot提供的Cacheable等註解類似
/**
* 快取 cacheName和key支援EL表示式,實際key的名稱是"cacheName_key"
* 快取結果
* key:sysuser_find_lisi
* value:
* [
* "com.example.model.SysUser"
* {
* id:"5c74a4e4-c4f2-4570-8735-761d7a570d36"
* username:"lisi"
* password:"$2a$10$PXoGXLwg05.5YO.QtZa46ONypBmiK59yfefvO1OGO8kYFwzOB.Os6"
* enable:true
* }
* ]
*/
@ReactiveRedisCacheable(cacheName = "sysuser", key = "'find_' + #username")
public Mono<SysUser> findUserByUsername(String username) {
return sysUserRepository.findByUsername(username);
}
@ReactiveRedisCacheable(cacheName = "sysuser", key = "all")
public Flux<SysUser> findAll() {
return sysUserRepository.findAll();
}
/**
* 刪除快取,allEntries = true 表示刪除全部以"cacheName_"開頭的快取
* allEntries 預設false,此時需要指定key的值,表示刪除指定的"cacheName_key"
*/
@ReactiveRedisCacheEvict(cacheName = "sysuser", allEntries = true)
public Mono<SysUser> add(SysUser sysUser) {
return sysUserRepository.addSysUser(sysUser.getId(), sysUser.getUsername(), sysUser.getPassword(), sysUser.getEnable()).flatMap(data -> sysUserRepository.findById(sysUser.getId()));
}
/**
* 組合註解,用法與@Caching類似
* 規則:
* 1.cacheables不能與cacheEvicts或者cachePuts同時存在,因為後者一定會執行方法主體,達不到呼叫快取的目的,所以當cacheables存在時,後者即便指定也不執行
* 2.先執行cacheEvicts,再執行cachePuts
*/
@ReactiveRedisCaching(
evict = {@ReactiveRedisCacheEvict(cacheName = "sysuser", key = "all")},
put = {@ReactiveRedisCachePut(cacheName = "sysuser", key = "'find_' + #sysUser.username")}
)
public Mono<SysUser> update(SysUser sysUser) {
Mono<SysUser> save = sysUserRepository.save(sysUser);
return save;
}
/**
* 刪除指定的"cacheName_key"
*/
@ReactiveRedisCacheEvict(cacheName = "sysuser", key="'find_' + #username")
public Mono<Boolean> deleteByUserName(String username) {
return sysUserRepository.deleteByUsername(username);
}
RedisTemplate
- 如果使用時沒有建立RedisTemplate,本專案中提供了一個預設的RedisTemplate,基於jackson序列化,支援jdk8的LocalDate和LocalDateTime
@Bean
@ConditionalOnMissingBean(value = RedisTemplate.class)
public RedisTemplate<String, Object> redisTemplate(RedisConnectionFactory redisConnectionFactory) {
log.debug("ReactiveRedisConfig RedisTemplate");
ObjectMapper objectMapper = new ObjectMapper();
objectMapper.setVisibility(PropertyAccessor.ALL, JsonAutoDetect.Visibility.ANY);
//objectMapper.enableDefaultTyping(ObjectMapper.DefaultTyping.NON_FINAL);
objectMapper.activateDefaultTyping(objectMapper.getPolymorphicTypeValidator(), ObjectMapper.DefaultTyping.NON_FINAL, JsonTypeInfo.As.WRAPPER_ARRAY);
//LocalDateTime系列序列化和反序列化模組,繼承自jsr310,我們在這裡修改了日期格式
JavaTimeModule javaTimeModule = new JavaTimeModule();
//序列化
javaTimeModule.addSerializer(LocalDateTime.class, new LocalDateTimeSerializer(
DateTimeFormatter.ofPattern(DEFAULT_DATE_TIME_FORMAT)));
javaTimeModule.addSerializer(LocalDate.class,
new LocalDateSerializer(DateTimeFormatter.ofPattern(DEFAULT_DATE_FORMAT)));
javaTimeModule.addSerializer(LocalTime.class,
new LocalTimeSerializer(DateTimeFormatter.ofPattern(DEFAULT_TIME_FORMAT)));
//反序列化
javaTimeModule.addDeserializer(LocalDateTime.class, new LocalDateTimeDeserializer(
DateTimeFormatter.ofPattern(DEFAULT_DATE_TIME_FORMAT)));
javaTimeModule.addDeserializer(LocalDate.class,
new LocalDateDeserializer(DateTimeFormatter.ofPattern(DEFAULT_DATE_FORMAT)));
javaTimeModule.addDeserializer(LocalTime.class,
new LocalTimeDeserializer(DateTimeFormatter.ofPattern(DEFAULT_TIME_FORMAT)));
//註冊模組
objectMapper.registerModule(javaTimeModule);
Jackson2JsonRedisSerializer<Object> serializer = new Jackson2JsonRedisSerializer<>(Object.class);
serializer.setObjectMapper(objectMapper);
RedisTemplate<String, Object> redisTemplate = new RedisTemplate<>();
redisTemplate.setConnectionFactory(redisConnectionFactory);
redisTemplate.setKeySerializer(new StringRedisSerializer());
redisTemplate.setValueSerializer(serializer);
redisTemplate.setHashKeySerializer(new StringRedisSerializer());
redisTemplate.setHashValueSerializer(serializer);
redisTemplate.afterPropertiesSet();
return redisTemplate;
}
以下為原始碼說明
原始碼依賴
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-autoconfigure</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-configuration-processor</artifactId>
</dependency>
<dependency>
<groupId>com.fasterxml.jackson.core</groupId>
<artifactId>jackson-databind</artifactId>
</dependency>
<dependency>
<groupId>com.fasterxml.jackson.datatype</groupId>
<artifactId>jackson-datatype-jdk8</artifactId>
</dependency>
<dependency>
<groupId>com.fasterxml.jackson.datatype</groupId>
<artifactId>jackson-datatype-jsr310</artifactId>
</dependency>
<dependency>
<groupId>org.aspectj</groupId>
<artifactId>aspectjweaver</artifactId>
</dependency>
<dependency>
<groupId>io.projectreactor</groupId>
<artifactId>reactor-core</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.data</groupId>
<artifactId>spring-data-redis</artifactId>
</dependency>
<dependency>
<groupId>org.projectlombok</groupId>
<artifactId>lombok</artifactId>
<optional>true</optional>
</dependency>
自定義Redis快取相關注解
- 只支援方法返回型別為Mono或者Flux
- 其它返回型別時請使用springboot提供的Cacheable,CachePut,CacheEvict和Caching
- 使用方式與springboot提供的Cacheable,CachePut,CacheEvict和Caching類似,具體看本文上面的示例
ReactiveRedisCacheable
package com.hanqunfeng.reactive.redis.cache.aop;
import java.lang.annotation.*;
/**
* <h1>redis方法快取註解</h1>
* Created by hanqf on 2020/11/21 18:28.
*/
@Target({ElementType.METHOD})
@Retention(RetentionPolicy.RUNTIME)
@Documented
public @interface ReactiveRedisCacheable {
/**
* 快取key,key為cacheName+"_"+key
* 支援EL表示式
*/
String key();
/**
* 快取key分組,會做為快取key的字首+"_"
* 支援EL表示式
*/
String cacheName();
/**
* 快取過期時間,單位秒,預設24小時
*/
long timeout() default 24 * 3600L;
}
ReactiveRedisCacheEvict
package com.hanqunfeng.reactive.redis.cache.aop;
import java.lang.annotation.*;
/**
* <h1>redis清除快取註解</h1>
* Created by hanqf on 2020/11/21 22:26.
*/
@Target({ElementType.METHOD})
@Retention(RetentionPolicy.RUNTIME)
@Documented
public @interface ReactiveRedisCacheEvict {
/**
* 快取key,如果cacheName不為空,則key為cacheName+"_"+key
* 支援EL表示式
*/
String key() default "";
/**
* 快取key分組,會做為快取key的字首+"_"
* 支援EL表示式
*/
String cacheName();
/**
* 是否刪除cacheName下全部快取資料,
* true時cacheName不能為空,此時即便指定了key值,也會刪除cacheName下全部快取
* false時key值不能為空
*/
boolean allEntries() default false;
/**
* 呼叫清除快取的時機,true:執行方法前,false:執行方法後
* 如果是false,則方法執行過程中發生異常,則不會清除快取
*/
boolean beforeInvocation() default false;
}
ReactiveRedisCachePut
package com.hanqunfeng.reactive.redis.cache.aop;
import java.lang.annotation.*;
/**
* <h1>執行完方法更新快取</h1>
* Created by hanqf on 2020/11/21 23:15.
*/
@Target({ElementType.METHOD})
@Retention(RetentionPolicy.RUNTIME)
@Documented
public @interface ReactiveRedisCachePut {
/**
* 快取key,key為cacheName+"_"+key
* 支援EL表示式
*/
String key();
/**
* 快取key分組,會做為快取key的字首+"_"
* 支援EL表示式
*/
String cacheName();
/**
* 快取過期時間,單位秒,預設24小時
*/
long timeout() default 24 * 3600L;
}
ReactiveRedisCaching
package com.hanqunfeng.reactive.redis.cache.aop;
import java.lang.annotation.*;
/**
* <h1>組合</h1>
* Created by hanqf on 2020/11/21 23:24.
*/
@Target({ElementType.METHOD})
@Retention(RetentionPolicy.RUNTIME)
@Documented
public @interface ReactiveRedisCaching {
ReactiveRedisCacheable[] cacheable() default {};
ReactiveRedisCachePut[] put() default {};
ReactiveRedisCacheEvict[] evict() default {};
}
AOP–ReactiveRedisCacheAspect
- 支援方法返回型別為Mono或者Flux
package com.hanqunfeng.reactive.redis.cache.aop;
import lombok.extern.slf4j.Slf4j;
import org.aspectj.lang.ProceedingJoinPoint;
import org.aspectj.lang.annotation.Around;
import org.aspectj.lang.annotation.Aspect;
import org.aspectj.lang.annotation.Pointcut;
import org.aspectj.lang.reflect.MethodSignature;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.stereotype.Component;
import reactor.core.publisher.Flux;
import reactor.core.publisher.Mono;
import java.lang.reflect.Method;
import java.util.*;
import java.util.concurrent.TimeUnit;
import java.util.concurrent.atomic.AtomicBoolean;
/**
* <h1>redis快取aop</h1>
* Created by hanqf on 2020/11/21 16:16.
*/
@Component
//標識是一個Aspect代理類
@Aspect
//如果有多個切面攔截相同的切點,可以用@Order指定執行順序
//@Order(1)
@Slf4j
public class ReactiveRedisCacheAspect {
@Autowired
private RedisTemplate redisTemplate;
@Pointcut("@annotation(com.hanqunfeng.reactive.redis.cache.aop.ReactiveRedisCacheable)")
public void cacheablePointCut() {
}
@Pointcut("@annotation(com.hanqunfeng.reactive.redis.cache.aop.ReactiveRedisCacheEvict)")
public void cacheEvictPointCut() {
}
@Pointcut("@annotation(com.hanqunfeng.reactive.redis.cache.aop.ReactiveRedisCachePut)")
public void cachePutPointCut() {
}
@Pointcut("@annotation(com.hanqunfeng.reactive.redis.cache.aop.ReactiveRedisCaching)")
public void cachingPointCut() {
}
//環繞通知,一般不建議使用,可以通過@Before和@AfterReturning實現
//但是響應式方法只能通過環繞通知實現aop,因為其它通知會導致不再同一個執行緒執行
@Around("cacheablePointCut()")
public Object cacheableAround(ProceedingJoinPoint proceedingJoinPoint) throws Throwable {
log.debug("ReactiveRedisCacheAspect cacheableAround....");
MethodSignature methodSignature = (MethodSignature) proceedingJoinPoint.getSignature();
Method method = methodSignature.getMethod();
String returnTypeName = method.getReturnType().getSimpleName();
ReactiveRedisCacheable annotation = method.getAnnotation(ReactiveRedisCacheable.class);
String cacheName = annotation.cacheName();
String key = annotation.key();
long timeout = annotation.timeout();
//轉換EL表示式
cacheName = (String) AspectSupportUtils.getKeyValue(proceedingJoinPoint, cacheName);
key = (String) AspectSupportUtils.getKeyValue(proceedingJoinPoint, key);
String redis_key = cacheName + "_" + key;
boolean hasKey = redisTemplate.hasKey(redis_key);
if (hasKey) {
Object o = redisTemplate.opsForValue().get(redis_key);
if (returnTypeName.equals("Flux")) {
return Flux.fromIterable((List) o);
} else if (returnTypeName.equals("Mono")) {
return Mono.just(o);
} else {
return o;
}
} else {
//實際執行的方法
Object proceed = proceedingJoinPoint.proceed();
if (returnTypeName.equals("Flux")) {
return ((Flux) proceed).collectList().doOnNext(list -> redisTemplate.opsForValue().set(redis_key, list, timeout, TimeUnit.SECONDS)).flatMapMany(list -> Flux.fromIterable((List) list));
} else if (returnTypeName.equals("Mono")) {
return ((Mono) proceed).doOnNext(obj -> redisTemplate.opsForValue().set(redis_key, obj, timeout, TimeUnit.SECONDS));
} else {
return proceed;
}
}
}
@Around("cacheEvictPointCut()")
public Object cacheEvictAround(ProceedingJoinPoint proceedingJoinPoint) throws Throwable {
log.debug("ReactiveRedisCacheAspect cacheEvictAround....");
MethodSignature methodSignature = (MethodSignature) proceedingJoinPoint.getSignature();
Method method = methodSignature.getMethod();
String returnTypeName = method.getReturnType().getSimpleName();
ReactiveRedisCacheEvict annotation = method.getAnnotation(ReactiveRedisCacheEvict.class);
String cacheName = annotation.cacheName();
String key = annotation.key();
boolean allEntries = annotation.allEntries();
boolean beforeInvocation = annotation.beforeInvocation();
//轉換EL表示式
cacheName = (String) AspectSupportUtils.getKeyValue(proceedingJoinPoint, cacheName);
key = (String) AspectSupportUtils.getKeyValue(proceedingJoinPoint, key);
//執行方法前清除快取
if (beforeInvocation) {
//清除全部快取
deleteRedisCache(cacheName, key, allEntries);
//實際執行的方法
Object proceed = proceedingJoinPoint.proceed();
return proceed;
} else {//成功執行方法後清除快取
//實際執行的方法
Object proceed = proceedingJoinPoint.proceed();
final String cacheNameTemp = cacheName;
final String keyTemp = key;
if (returnTypeName.equals("Flux")) {
return ((Flux) proceed).collectList().doOnNext(list -> {
//清除全部快取
deleteRedisCache(cacheNameTemp, keyTemp, allEntries);
}).flatMapMany(list -> Flux.fromIterable((List) list));
} else if (returnTypeName.equals("Mono")) {
return ((Mono) proceed).doOnNext(obj -> {
//清除全部快取
deleteRedisCache(cacheNameTemp, keyTemp, allEntries);
});
} else {
return proceed;
}
}
}
@Around("cachePutPointCut()")
public Object cachePutAround(ProceedingJoinPoint proceedingJoinPoint) throws Throwable {
log.debug("ReactiveRedisCacheAspect cachePutAround....");
MethodSignature methodSignature = (MethodSignature) proceedingJoinPoint.getSignature();
Method method = methodSignature.getMethod();
String returnTypeName = method.getReturnType().getSimpleName();
ReactiveRedisCachePut annotation = method.getAnnotation(ReactiveRedisCachePut.class);
String cacheName = annotation.cacheName();
String key = annotation.key();
long timeout = annotation.timeout();
//轉換EL表示式
cacheName = (String) AspectSupportUtils.getKeyValue(proceedingJoinPoint, cacheName);
key = (String) AspectSupportUtils.getKeyValue(proceedingJoinPoint, key);
String redis_key = cacheName + "_" + key;
boolean hasKey = redisTemplate.hasKey(redis_key);
if (hasKey) {
redisTemplate.delete(redis_key);
}
//實際執行的方法
Object proceed = proceedingJoinPoint.proceed();
if (returnTypeName.equals("Flux")) {
return ((Flux) proceed).collectList().doOnNext(list -> redisTemplate.opsForValue().set(redis_key, list, timeout, TimeUnit.SECONDS)).flatMapMany(list -> Flux.fromIterable((List) list));
} else if (returnTypeName.equals("Mono")) {
return ((Mono) proceed).doOnNext(obj -> redisTemplate.opsForValue().set(redis_key, obj, timeout, TimeUnit.SECONDS));
} else {
return proceed;
}
}
@Around("cachingPointCut()")
public Object cachingAround(ProceedingJoinPoint proceedingJoinPoint) throws Throwable {
log.debug("ReactiveRedisCacheAspect cachingAround....");
MethodSignature methodSignature = (MethodSignature) proceedingJoinPoint.getSignature();
Method method = methodSignature.getMethod();
String returnTypeName = method.getReturnType().getSimpleName();
ReactiveRedisCaching annotation = method.getAnnotation(ReactiveRedisCaching.class);
ReactiveRedisCacheEvict[] cacheEvicts = annotation.evict();
ReactiveRedisCachePut[] cachePuts = annotation.put();
ReactiveRedisCacheable[] cacheables = annotation.cacheable();
//規則:
//1.cacheables不能與cacheEvicts或者cachePuts同時存在,因為後者一定會執行方法主體,達不到呼叫快取的目的,所以當cacheables存在時,後者即便指定也不執行
//2.先執行cacheEvicts,再執行cachePuts
if (cacheables.length > 0) {
Map<String, Long> key_map = new HashMap<>();
List<String> key_list = new ArrayList<>();
Arrays.stream(cacheables).forEach(cacheable -> {
String cacheName = cacheable.cacheName();
String key = cacheable.key();
long timeout = cacheable.timeout();
//轉換EL表示式
cacheName = (String) AspectSupportUtils.getKeyValue(proceedingJoinPoint, cacheName);
key = (String) AspectSupportUtils.getKeyValue(proceedingJoinPoint, key);
String redis_key = cacheName + "_" + key;
key_map.put(redis_key, timeout);
key_list.add(redis_key);
});
AtomicBoolean isAllKeyHas = new AtomicBoolean(true);
key_list.forEach(key -> {
if (!redisTemplate.hasKey(key)) {
isAllKeyHas.set(false);
}
});
//全部key都有值,則直接返回快取
if (isAllKeyHas.get()) {
Object o = redisTemplate.opsForValue().get(key_list.get(0));
if (returnTypeName.equals("Flux")) {
return Flux.fromIterable((List) o);
} else if (returnTypeName.equals("Mono")) {
return Mono.just(o);
} else {
return o;
}
} else {
//實際執行的方法
Object proceed = proceedingJoinPoint.proceed();
if (returnTypeName.equals("Flux")) {
return ((Flux) proceed).collectList()
.doOnNext(list -> key_map.forEach((key, val) -> redisTemplate.opsForValue().set(key, list, val, TimeUnit.SECONDS)))
.flatMapMany(list -> Flux.fromIterable((List) list));
} else if (returnTypeName.equals("Mono")) {
return ((Mono) proceed)
.doOnNext(obj -> key_map.forEach((key, val) -> redisTemplate.opsForValue().set(key, obj, val, TimeUnit.SECONDS)));
} else {
return proceed;
}
}
} else {
Map<String, Boolean> map = new HashMap<>();
if (cacheEvicts.length > 0) {
Arrays.stream(cacheEvicts).forEach(cacheEvict -> {
String cacheName = cacheEvict.cacheName();
String key = cacheEvict.key();
boolean allEntries = cacheEvict.allEntries();
boolean beforeInvocation = cacheEvict.beforeInvocation();
//轉換EL表示式
cacheName = (String) AspectSupportUtils.getKeyValue(proceedingJoinPoint, cacheName);
key = (String) AspectSupportUtils.getKeyValue(proceedingJoinPoint, key);
if (beforeInvocation) { //執行方法前清除快取
//清除全部快取
deleteRedisCache(cacheName, key, allEntries);
} else { //成功執行方法後清除快取,先儲存到map中
//清除全部快取
if (allEntries) {
map.put(cacheName, true);
} else {
map.put(cacheName + "_" + key, false);
}
}
});
}
//實際執行的方法
Object proceed = proceedingJoinPoint.proceed();
if (cachePuts.length > 0) {
Map<String, Long> key_map = new HashMap<>();
Arrays.stream(cachePuts).forEach(cachePut -> {
String cacheName = cachePut.cacheName();
String key = cachePut.key();
long timeout = cachePut.timeout();
//轉換EL表示式
cacheName = (String) AspectSupportUtils.getKeyValue(proceedingJoinPoint, cacheName);
key = (String) AspectSupportUtils.getKeyValue(proceedingJoinPoint, key);
String redis_key = cacheName + "_" + key;
key_map.put(redis_key, timeout);
boolean hasKey = redisTemplate.hasKey(redis_key);
if (hasKey) {
redisTemplate.delete(redis_key);
}
});
if (returnTypeName.equals("Flux")) {
return ((Flux) proceed).collectList()
.doOnNext(list -> {
//執行方法後清除快取
if (map.size() > 0) {
map.forEach((key, val) -> {
deleteRedisCache(key, val);
});
}
key_map.forEach((key, val) -> redisTemplate.opsForValue().set(key, list, val, TimeUnit.SECONDS));
})
.flatMapMany(list -> Flux.fromIterable((List) list));
} else if (returnTypeName.equals("Mono")) {
return ((Mono) proceed)
.doOnNext(obj -> {
//執行方法後清除快取
if (map.size() > 0) {
map.forEach((key, val) -> {
deleteRedisCache(key, val);
});
}
key_map.forEach((key, val) -> redisTemplate.opsForValue().set(key, obj, val, TimeUnit.SECONDS));
});
} else {
return proceed;
}
} else {
if (returnTypeName.equals("Flux")) {
return ((Flux) proceed).collectList().doOnNext(list -> {
//執行方法後清除快取
if (map.size() > 0) {
map.forEach((key, val) -> {
deleteRedisCache(key, val);
});
}
}).flatMapMany(list -> Flux.fromIterable((List) list));
} else if (returnTypeName.equals("Mono")) {
return ((Mono) proceed).doOnNext(obj -> {
//執行方法後清除快取
if (map.size() > 0) {
map.forEach((key, val) -> {
deleteRedisCache(key, val);
});
}
});
} else {
return proceed;
}
}
}
}
private void deleteRedisCache(String key, boolean clearAll) {
if (clearAll) {
Set keys = redisTemplate.keys(key + "_*");
if (!keys.isEmpty()) {
redisTemplate.delete(keys);
}
} else {
if (redisTemplate.hasKey(key)) {
redisTemplate.delete(key);
}
}
}
private void deleteRedisCache(String cacheName, String key, boolean clearAll) {
String redis_key = "";
if (clearAll) {
redis_key = cacheName + "_*";
} else {
redis_key = cacheName + "_" + key;
}
deleteRedisCache(redis_key, clearAll);
}
}
註解屬性支援EL表示式的工具類
AspectSupportUtils
package com.hanqunfeng.reactive.redis.cache.aop;
import org.aspectj.lang.JoinPoint;
import org.aspectj.lang.reflect.MethodSignature;
import org.springframework.cache.interceptor.SimpleKeyGenerator;
import org.springframework.context.expression.AnnotatedElementKey;
import org.springframework.expression.EvaluationContext;
import org.springframework.util.StringUtils;
import java.lang.reflect.Method;
public class AspectSupportUtils {
private static ExpressionEvaluator evaluator = new ExpressionEvaluator();
public static Object getKeyValue(JoinPoint joinPoint, String keyExpression) {
if(keyExpression.contains("#") || keyExpression.contains("'")) {
return getKeyValue(joinPoint.getTarget(), joinPoint.getArgs(), joinPoint.getTarget().getClass(),
((MethodSignature) joinPoint.getSignature()).getMethod(), keyExpression);
}
return keyExpression;
}
private static Object getKeyValue(Object object, Object[] args, Class<?> clazz, Method method,
String keyExpression) {
if (StringUtils.hasText(keyExpression)) {
EvaluationContext evaluationContext = evaluator.createEvaluationContext(object, clazz, method, args);
AnnotatedElementKey methodKey = new AnnotatedElementKey(method, clazz);
return evaluator.key(keyExpression, methodKey, evaluationContext);
}
return SimpleKeyGenerator.generateKey(args);
}
}
ExpressionEvaluator
package com.hanqunfeng.reactive.redis.cache.aop;
import org.springframework.aop.support.AopUtils;
import org.springframework.context.expression.AnnotatedElementKey;
import org.springframework.context.expression.CachedExpressionEvaluator;
import org.springframework.context.expression.MethodBasedEvaluationContext;
import org.springframework.core.DefaultParameterNameDiscoverer;
import org.springframework.core.ParameterNameDiscoverer;
import org.springframework.expression.EvaluationContext;
import org.springframework.expression.Expression;
import java.lang.reflect.Method;
import java.util.Map;
import java.util.concurrent.ConcurrentHashMap;
public class ExpressionEvaluator extends CachedExpressionEvaluator {
private final ParameterNameDiscoverer paramNameDiscoverer = new DefaultParameterNameDiscoverer();
private final Map<ExpressionKey, Expression> conditionCache = new ConcurrentHashMap<>(64);
private final Map<AnnotatedElementKey, Method> targetMethodCache = new ConcurrentHashMap<>(64);
public EvaluationContext createEvaluationContext(Object object, Class<?> targetClass, Method method,
Object[] args) {
Method targetMethod = getTargetMethod(targetClass, method);
ExpressionRootObject root = new ExpressionRootObject(object, args);
return new MethodBasedEvaluationContext(root, targetMethod, args, this.paramNameDiscoverer);
}
public Object key(String conditionExpression, AnnotatedElementKey elementKey, EvaluationContext evalContext) {
return getExpression(this.conditionCache, elementKey, conditionExpression).getValue(evalContext);
}
private Method getTargetMethod(Class<?> targetClass, Method method) {
AnnotatedElementKey methodKey = new AnnotatedElementKey(method, targetClass);
Method targetMethod = this.targetMethodCache.get(methodKey);
if (targetMethod == null) {
targetMethod = AopUtils.getMostSpecificMethod(method, targetClass);
if (targetMethod == null) {
targetMethod = method;
}
this.targetMethodCache.put(methodKey, targetMethod);
}
return targetMethod;
}
private class ExpressionRootObject {
private final Object object;
private final Object[] args;
public ExpressionRootObject(Object object, Object[] args) {
this.object = object;
this.args = args;
}
public Object getobject() {
return object;
}
public Object[] getArgs() {
return args;
}
}
}
本專案提供了自動配置類,開啟Aspect支援同時提供RedisTemplate
- 支援LocalDate和LocalDateTime的序列化和反序列化
- 儲存key為字串,值為json
package com.hanqunfeng.reactive.redis.cache.config;
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.datatype.jsr310.JavaTimeModule;
import com.fasterxml.jackson.datatype.jsr310.deser.LocalDateDeserializer;
import com.fasterxml.jackson.datatype.jsr310.deser.LocalDateTimeDeserializer;
import com.fasterxml.jackson.datatype.jsr310.deser.LocalTimeDeserializer;
import com.fasterxml.jackson.datatype.jsr310.ser.LocalDateSerializer;
import com.fasterxml.jackson.datatype.jsr310.ser.LocalDateTimeSerializer;
import com.fasterxml.jackson.datatype.jsr310.ser.LocalTimeSerializer;
import lombok.extern.slf4j.Slf4j;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.autoconfigure.condition.ConditionalOnMissingBean;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.ComponentScan;
import org.springframework.context.annotation.Configuration;
import org.springframework.context.annotation.EnableAspectJAutoProxy;
import org.springframework.data.redis.connection.RedisConnectionFactory;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.serializer.Jackson2JsonRedisSerializer;
import org.springframework.data.redis.serializer.StringRedisSerializer;
import java.time.LocalDate;
import java.time.LocalDateTime;
import java.time.LocalTime;
import java.time.format.DateTimeFormatter;
/**
* @author hanqf
* Created by hanqf on 2020/11/22 15:38
*/
@Configuration
@ComponentScan(basePackages = "org.hanqf.reactive.redis.cache")
@EnableAspectJAutoProxy
@Slf4j
public class ReactiveRedisConfig {
/**
* 預設日期時間格式
*/
public static final String DEFAULT_DATE_TIME_FORMAT = "yyyy-MM-dd HH:mm:ss";
/**
* 預設日期格式
*/
public static final String DEFAULT_DATE_FORMAT = "yyyy-MM-dd";
/**
* 預設時間格式
*/
public static final String DEFAULT_TIME_FORMAT = "HH:mm:ss";
@Bean
@ConditionalOnMissingBean(value = RedisTemplate.class)
public RedisTemplate<String, Object> redisTemplate(RedisConnectionFactory redisConnectionFactory) {
log.debug("ReactiveRedisConfig RedisTemplate");
ObjectMapper objectMapper = new ObjectMapper();
objectMapper.setVisibility(PropertyAccessor.ALL, JsonAutoDetect.Visibility.ANY);
//objectMapper.enableDefaultTyping(ObjectMapper.DefaultTyping.NON_FINAL);
objectMapper.activateDefaultTyping(objectMapper.getPolymorphicTypeValidator(), ObjectMapper.DefaultTyping.NON_FINAL, JsonTypeInfo.As.WRAPPER_ARRAY);
//LocalDateTime系列序列化和反序列化模組,繼承自jsr310,我們在這裡修改了日期格式
JavaTimeModule javaTimeModule = new JavaTimeModule();
//序列化
javaTimeModule.addSerializer(LocalDateTime.class, new LocalDateTimeSerializer(
DateTimeFormatter.ofPattern(DEFAULT_DATE_TIME_FORMAT)));
javaTimeModule.addSerializer(LocalDate.class,
new LocalDateSerializer(DateTimeFormatter.ofPattern(DEFAULT_DATE_FORMAT)));
javaTimeModule.addSerializer(LocalTime.class,
new LocalTimeSerializer(DateTimeFormatter.ofPattern(DEFAULT_TIME_FORMAT)));
//反序列化
javaTimeModule.addDeserializer(LocalDateTime.class, new LocalDateTimeDeserializer(
DateTimeFormatter.ofPattern(DEFAULT_DATE_TIME_FORMAT)));
javaTimeModule.addDeserializer(LocalDate.class,
new LocalDateDeserializer(DateTimeFormatter.ofPattern(DEFAULT_DATE_FORMAT)));
javaTimeModule.addDeserializer(LocalTime.class,
new LocalTimeDeserializer(DateTimeFormatter.ofPattern(DEFAULT_TIME_FORMAT)));
//註冊模組
objectMapper.registerModule(javaTimeModule);
Jackson2JsonRedisSerializer<Object> serializer = new Jackson2JsonRedisSerializer<>(Object.class);
serializer.setObjectMapper(objectMapper);
RedisTemplate<String, Object> redisTemplate = new RedisTemplate<>();
redisTemplate.setConnectionFactory(redisConnectionFactory);
redisTemplate.setKeySerializer(new StringRedisSerializer());
redisTemplate.setValueSerializer(serializer);
redisTemplate.setHashKeySerializer(new StringRedisSerializer());
redisTemplate.setHashValueSerializer(serializer);
redisTemplate.afterPropertiesSet();
return redisTemplate;
}
}