springboot使用cache整合redis(自定義每個key過期時間)
阿新 • • 發佈:2020-12-15
技術標籤:redisredisehcachespring boot
@Cacheable是SpringCache的註解
當初見到這個註解以為是redis的,後來研究發現是個spring的全家桶,快取器可以使用 ehCache,Redis,ConcurrentHashMap(jvm),ehCache研究的不多,好像和jvm記憶體一樣做不到分散式。本文就redis做自定義key過期設定
支援配置的key過期時間
採用springboot 2.4.0 版本,發現這個版本對配置檔案做了優化;比如:
配置了dev之後,dev.yml 和 dev.properties都會生效
配置檔案
# cacheName: 過期時間;逗號分隔
xcode.redis.cache.initialCacheNamesAndDuration=testCacheMap:15m
code
package com.jgma.xcode.redis.config;
import com.fasterxml.jackson.annotation.JsonAutoDetect;
import com.fasterxml.jackson.annotation.PropertyAccessor;
import com.fasterxml.jackson.databind.ObjectMapper;
import lombok.extern. slf4j.Slf4j;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.cache.CacheManager;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.data.redis.cache.RedisCacheConfiguration;
import org.springframework.data.redis.cache.RedisCacheManager;
import org.springframework.data.redis.cache.RedisCacheWriter;
import org.springframework.data.redis.connection.lettuce.LettuceConnectionFactory;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.serializer.Jackson2JsonRedisSerializer;
import org.springframework.data.redis.serializer.StringRedisSerializer;
import org.springframework.lang.Nullable;
import java.io.Serializable;
import java.time.Duration;
import java.util.LinkedHashMap;
import java.util.Map;
import java.util.regex.Matcher;
import java.util.regex.Pattern;
/**
* @Author: admin
* @GitHub https://github.com/JGMa-java/magic-code.git
*/
@Slf4j
@Configuration
public class RedisConfig {
@Value("${xcode.redis.cache.initialCacheNamesAndDuration}")
private String[] initialCacheNames;
private Pattern pattern = Pattern.compile("(?:([-+]?[0-9]+)M)|(?:([-+]?[0-9]+)H)|(?:([-+]?[0-9]+)S)", Pattern.CASE_INSENSITIVE);
private String regStr = "m|M|s|S|h|H";
/**
* 配置redisTemplate序列化方式,使用預設的序列化manager檢視會顯示亂碼
*/
@Bean
public RedisTemplate<String, Serializable> redisTemplate(LettuceConnectionFactory redisConnectionFactory) {
RedisTemplate<String, Serializable> template = new RedisTemplate<>();
//使用StringRedisSerializer來序列化和反序列化redis的key值
template.setKeySerializer(new StringRedisSerializer());
// 使用Jackson2JsonRedisSerialize 替換預設的jdkSerializeable序列化redis的value值
Jackson2JsonRedisSerializer jackson2JsonRedisSerializer = new Jackson2JsonRedisSerializer(Object.class);
ObjectMapper objectMapper = new ObjectMapper();
objectMapper.setVisibility(PropertyAccessor.ALL, JsonAutoDetect.Visibility.ANY);
objectMapper.enableDefaultTyping(ObjectMapper.DefaultTyping.NON_FINAL);
jackson2JsonRedisSerializer.setObjectMapper(objectMapper);
template.setValueSerializer(jackson2JsonRedisSerializer);
template.setConnectionFactory(redisConnectionFactory);
return template;
}
@Bean
public CacheManager cacheManager(LettuceConnectionFactory connectionFactory) {
RedisCacheWriter redisCacheWriter = RedisCacheWriter.nonLockingRedisCacheWriter(connectionFactory);
Map<String, RedisCacheConfiguration> initialCacheConfigurations = new LinkedHashMap();
for (String initialCacheName : initialCacheNames) {
String[] split = initialCacheName.split(":");
String cacheName = split[0];
String durationStr = split[1];
Duration duration = null;
try {
duration = parseDuration(durationStr);
} catch (Exception e) {
log.error(e.getMessage());
continue;
}
RedisCacheConfiguration cacheConfiguration = RedisCacheConfiguration.defaultCacheConfig().entryTtl(duration);
initialCacheConfigurations.put(cacheName, cacheConfiguration);
}
RedisCacheManager redisCacheManager = RedisCacheManager.builder(redisCacheWriter).withInitialCacheConfigurations(initialCacheConfigurations).build();
return redisCacheManager;
}
/**
* 過期時間配置轉Duration,僅支援時分秒格式
*
* @param duration 需要匹配的配置時間;例 - 2s
* @return
* @throws RuntimeException 不支援的時間格式
*/
private Duration parseDuration(@Nullable String duration) throws RuntimeException {
Matcher matcher = pattern.matcher(duration);
if (!matcher.matches()) {
throw new RuntimeException("[過期時間僅支援h,s,m格式]當前引數:{" + duration + "}");
}
if (duration.contains("m") || duration.contains("M")) {
return Duration.ofMinutes(Long.valueOf(duration.replaceAll(regStr, "")));
} else if (duration.contains("s") || duration.contains("S")) {
return Duration.ofSeconds(Long.valueOf(duration.replaceAll(regStr, "")));
} else {
return Duration.ofHours(Long.valueOf(duration.replaceAll(regStr, "")));
}
}
}
業務層
package com.jgma.xcode.redis.service;
import org.springframework.cache.annotation.Cacheable;
import org.springframework.stereotype.Service;
import java.util.HashMap;
import java.util.Map;
/**
* @Author: admin
*/
@Service
public class RedisService {
private static Map<String, String> result = new HashMap();
static {
result.put("1", "字串1");
result.put("2", "字串2");
}
@Cacheable(key = "#key",value = "testCacheMap",cacheManager = "cacheManager")
public Object get(String key) {
System.out.println("我是測試cache,service返回的。。。");
return result.get(key);
}
}
個人感覺程式碼不是太優美,有沒有好的優化方式???