@Component
@Transactional
public class PushTargetService {
@Autowired
PushTargetDao pushTargetDao;
@Autowired
CacheService<String, PushTarget> cacheService;
private PushTarget save(PushTarget pt) {
PushTarget n = pushTargetDao.save(pt);
cacheService.markDirty(pt.getUserId()); //保存数据记录后将其标记为过期
return n;
}
public Future<PushTarget> find(String userId) {
return cacheService.get(userId);
}
}
@Component
public class PushTargetCacheFactory {
@Autowired
ActorSystem system;
@Autowired
PushTargetDao pushTargetDao;
@Bean(name = "pushTargetCache")
public CacheService<String, PushTarget> createCacheService() {
PushTargetCacheSource source = new PushTargetCacheSource();
ActorRef ref = system.actorOf(CacheActor.props(source), "pushTargetCache");
return new CacheService<PushTargetKey, PushTarget>(ref, system.dispatcher(), 5000);
}
class PushTargetCacheSource implements IDataSource<String, PushTarget> {
@Override
public Future<TimedData<PushTarget>> request(ActorRef actorRef, String cacheName, String userId) {
PushTarget t = pushTargetDao.findByProductAndUserId(userId);
long expiredTime = System.currentTimeMillis() + 3600_000;
return Futures.successful(new TimedData<>(expiredTime, t));
}
@Override
public String getCacheName() {
return "pushTargetCache";
}
//acache是否等待IDataSource返回,true则等待最新结果返回给调用者,false则在request新数据的同时直接将缓存中已过期的结果返回给调用者
public boolean waitForRespond() {
return true;
}
public long getIdleTimeout(PushTargetKey key) { //数据闲置时间
return 1800_000L; //30分钟
}
public long getIdleCleanPeriod() { //过期数据及闲置数据的清理周期
return 600_000L;//10分钟
}
}
}
缓存服务的创建过程同上,以下创建引用远程缓存服务的客户端
class Test {
@Bean
public CacheAsker<String, PushTarget> createCacheClient() {
String path = "akka.tcp://system@127.0.0.1:7300/user/pushTargetCache";
ActorSelection sel = system.actorSelection(path);
return new CacheAsker<>(sel, system.dispatcher(), 5000);
}
}
有时候我们需要在多台服务器上使用缓存,但又不想给数据源带来多倍的访问量, 这时可以在缓存服务器和多台业务服务器分别创建ACache缓存, 并将缓存服务作为业务服务的二级缓存数据源,缓存服务的创建过程还是相同
class Test {
@Bean
public CacheAsker<String, PushTarget> createCacheClient() {
ICacheConfig<WeatherKey> cacheConfig = new ICacheConfig<WeatherKey>() {
@Override
public String getCacheName() {
return "pushTargetLocalCache";
}
public boolean waitForRespond() {
return true;
}
public long getIdleTimeout(WeatherKey key) {
return 1800_000L; //30分钟
}
public long getIdleCleanPeriod() {
return 600_000L; //10分钟
}
};
List<String> remoteCachePaths = new LinkedList<>();
remoteCachePaths.add("akka.tcp://system@127.0.0.1:7300/user/pushTargetCache");
return LocalCacheCreator.createLocalCache(system, config, paths, timeout, timeout);
}
}
缓存对象创建时允许传入一个IHitStat接口的实现,缓存在被访问时会根据命中情况调用此接口方法,接口定义:
public interface IHitStat<Key> {
default void onRequest(Key key){} //请求, 请求数 = Hit + Expired + Miss
default void onHit(Key key){} //命中
default void onExpired(Key key){} //过期
default void onMiss(Key key){} //未命中
default void onIdleRemoved(Key key){} //闲置移除
default void onExpiredRemoved(Key key){}//超时移除
default void setSize(long size) {} //缓存条数
}
AbstractHitStatService实现了此接口,生成InfluxDB的日志格式,从此类继承只要实现写InfluxDB的post请求:
@Component("locateHitStatService")
public class LocateHitStatService extends AbstractHitStatService<LocateRequest> {
private static final Logger logger = LogManager.getLogger(LocateHitStatService.class);
private final String dbUrl = "http://10.79.186.100:8086/write?db=tianqi"; //InfluxDB接口地址
@Autowired
private ActorSystem system;
@Value("${httpclient.askTimeout}")
private int askTimeout;
@Resource(name = "logHttpClient")
private FuturedHttpClient logHttpClient;
protected void doWriteLogs(String lines) {
HttpPost post = new HttpPost(dbUrl);
post.setEntity(new StringEntity(lines, "UTF-8"));
logHttpClient.ask(new HttpAsk("request", post), askTimeout).onComplete(
new OnComplete<HttpResult>() {
@Override
public void onComplete(Throwable ex, HttpResult ret) {
if (ex == null) {
if (ret.error == null) {
int code = ret.response.getStatusLine().getStatusCode();
if (code != 204 && code != 200) {
logger.warn("Write cache hit stat data failed, result={}", ret.value);
}
} else {
logger.warn("Write cache hit stat data failed", ret.error);
}
} else {
logger.warn("Write cache hit stat data failed", ex);
}
}
}, system.dispatcher());
}
}
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