我有一个在play 2.7上运行的play scala应用程序。它用作前端的中间件，并且具有其他端点。
现在，我在云上运行两个不同的实例，并使用nginx绑定了这两个服务器，并通过循环负载均衡它。
现在，我遇到了一个问题，即服务器经常停机，即一天3次，有趣的是两个服务器同时停机。当我查看时，这两个服务器上都显示内存不足异常。我试图将javaheapdump打印出内存不足，但没有得到转储。我仍在分析线程转储，以找出可能导致服务器宕机的真正原因，但令我困扰的是两台服务器同时宕机的原因。
在线程转储之外，我看到有7707个线程处于休眠状态。这是
"Connection evictor" #146 daemon prio=5 os_prio=0 cpu=2.33ms elapsed=1822.02s tid=0x00007f8a840c4800 nid=0x194 waiting on condition [0x00007f8a58a5e000]
java.lang.Thread.State: TIMED_WAITING (sleeping)
at java.lang.Thread.sleep(java.base@11/Native Method)
at org.apache.http.impl.client.IdleConnectionEvictor$1.run(IdleConnectionEvictor.java:66)
at java.lang.Thread.run(java.base@11/Thread.java:834)
这是服务器宕机时看到的内容
[35966.967s][warning][os,thread] Failed to start thread - pthread_create failed (EAGAIN) for attributes: stacksize: 1024k, guardsize: 0k, detached.
Uncaught error from thread [application-akka.actor.default-dispatcher-1398Uncaught error from thread [application-akka.actor.default-dispatcher-1395]: ]: unable to create native thread: possibly out of memory or process/resource limits reachedunable to create native thread: possibly out of memory or process/resource limits reached, shutting down JVM since 'akka.jvm-exit-on-fatal-error' is enabled for, shutting down JVM since 'akka.jvm-exit-on-fatal-error' is enabled for ActorSystem[ ActorSystem[applicationapplication]
]
java.lang.OutOfMemoryError: unable to create native thread: possibly out of memory or process/resource limits reached
at java.base/java.lang.Thread.start0(Native Method)
at java.base/java.lang.Thread.start(Thread.java:803)
at org.apache.http.impl.client.IdleConnectionEvictor.start(IdleConnectionEvictor.java:96)
at org.apache.http.impl.client.HttpClientBuilder.build(HttpClientBuilder.java:1219)
at org.apache.solr.client.solrj.impl.HttpClientUtil.createClient(HttpClientUtil.java:287)
at org.apache.solr.client.solrj.impl.HttpClientUtil.createClient(HttpClientUtil.java:298)
at org.apache.solr.client.solrj.impl.HttpClientUtil.createClient(HttpClientUtil.java:236)
at org.apache.solr.client.solrj.impl.HttpClientUtil.createClient(HttpClientUtil.java:223)
at org.apache.solr.client.solrj.impl.HttpSolrClient.<init>(HttpSolrClient.java:198)
at org.apache.solr.client.solrj.impl.HttpSolrClient$Builder.build(HttpSolrClient.java:934)
at com.github.takezoe.solr.scala.SolrClient$.$anonfun$$lessinit$greater$default$2$1(SolrClient.scala:11)
at com.github.takezoe.solr.scala.SolrClient.<init>(SolrClient.scala:14)
at service.tvt.solr.SolrPolygonService.getSuburbBoundary(SolrPolygonService.scala:212)
at service.tvt.search.OrbigoSearchService.mapfeeder(OrbigoSearchService.scala:54)
at service.bto.business_categories.MeedssCountService.$anonfun$suburbMeedssCount$2(MeedssCountService.scala:81)
at scala.collection.immutable.List.map(List.scala:287)
at service.bto.business_categories.MeedssCountService.suburbMeedssCount(MeedssCountService.scala:80)
at controllers.bto.industry_categories.meedss.MeedssController.$anonfun$suburbMeedssCount$1(MeedssController.scala:38)
at play.api.mvc.ActionBuilder.$anonfun$apply$11(Action.scala:368)
at scala.Function1.$anonfun$andThen$1(Function1.scala:52)
at play.api.mvc.ActionBuilderImpl.invokeBlock(Action.scala:489)
at play.api.mvc.ActionBuilderImpl.invokeBlock(Action.scala:487)
at play.api.mvc.ActionBuilder$$anon$9.invokeBlock(Action.scala:336)
at play.api.mvc.ActionBuilder$$anon$9.invokeBlock(Action.scala:331)
at play.api.mvc.ActionBuilder$$anon$10.apply(Action.scala:426)
at play.api.mvc.Action.$anonfun$apply$2(Action.scala:98)
at play.api.libs.streams.StrictAccumulator.$anonfun$mapFuture$4(Accumulator.scala:184)
at scala.util.Try$.apply(Try.scala:209)
at play.api.libs.streams.StrictAccumulator.$anonfun$mapFuture$3(Accumulator.scala:184)
at akka.stream.impl.Transform.apply(TraversalBuilder.scala:159)
at akka.stream.impl.PhasedFusingActorMaterializer.materialize(PhasedFusingActorMaterializer.scala:515)
at akka.stream.impl.PhasedFusingActorMaterializer.materialize(PhasedFusingActorMaterializer.scala:450)
at akka.stream.impl.PhasedFusingActorMaterializer.materialize(PhasedFusingActorMaterializer.scala:443)
at akka.stream.scaladsl.RunnableGraph.run(Flow.scala:629)
at play.api.libs.streams.Accumulator$.$anonfun$futureToSink$2(Accumulator.scala:262)
at scala.concurrent.Future.$anonfun$flatMap$1(Future.scala:303)
at scala.concurrent.impl.Promise.$anonfun$transformWith$1(Promise.scala:37)
at scala.concurrent.impl.CallbackRunnable.run(Promise.scala:60)
at play.api.libs.streams.Execution$trampoline$.execute(Execution.scala:72)
at scala.concurrent.impl.CallbackRunnable.executeWithValue(Promise.scala:68)
at scala.concurrent.impl.Promise$DefaultPromise.dispatchOrAddCallback(Promise.scala:312)
at scala.concurrent.impl.Promise$DefaultPromise.onComplete(Promise.scala:303)
at scala.concurrent.impl.Promise.transformWith(Promise.scala:36)
at scala.concurrent.impl.Promise.transformWith$(Promise.scala:34)
at scala.concurrent.impl.Promise$DefaultPromise.transformWith(Promise.scala:183)
at scala.concurrent.Future.flatMap(Future.scala:302)
at scala.concurrent.Future.flatMap$(Future.scala:302)
at scala.concurrent.impl.Promise$DefaultPromise.flatMap(Promise.scala:183)
at play.api.libs.streams.Accumulator$.$anonfun$futureToSink$1(Accumulator.scala:261)
at akka.stream.impl.Transform.apply(TraversalBuilder.scala:159)
at akka.stream.impl.PhasedFusingActorMaterializer.materialize(PhasedFusingActorMaterializer.scala:515)
at akka.stream.impl.PhasedFusingActorMaterializer.materialize(PhasedFusingActorMaterializer.scala:450)
at akka.stream.impl.PhasedFusingActorMaterializer.materialize(PhasedFusingActorMaterializer.scala:443)
at akka.stream.scaladsl.RunnableGraph.run(Flow.scala:629)
at play.api.libs.streams.SinkAccumulator.run(Accumulator.scala:144)
at play.api.libs.streams.SinkAccumulator.run(Accumulator.scala:148)
at play.core.server.AkkaHttpServer.$anonfun$runAction$4(AkkaHttpServer.scala:441)
at akka.http.scaladsl.util.FastFuture$.strictTransform$1(FastFuture.scala:41)
at akka.http.scaladsl.util.FastFuture$.$anonfun$transformWith$3(FastFuture.scala:51)
at scala.concurrent.impl.CallbackRunnable.run(Promise.scala:60)
at akka.dispatch.BatchingExecutor$AbstractBatch.processBatch(BatchingExecutor.scala:55)
at akka.dispatch.BatchingExecutor$BlockableBatch.$anonfun$run$1(BatchingExecutor.scala:92)
at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:12)
at scala.concurrent.BlockContext$.withBlockContext(BlockContext.scala:81)
at akka.dispatch.BatchingExecutor$BlockableBatch.run(BatchingExecutor.scala:92)
at akka.dispatch.TaskInvocation.run(AbstractDispatcher.scala:41)
at akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(ForkJoinExecutorConfigurator.scala:49)
at akka.dispatch.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
at akka.dispatch.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339)
at akka.dispatch.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979)
at akka.dispatch.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)
任何快速指示器都将非常有用
Levi Ramsey是正确的，这是因为我们正在使用TakeZoe lib。我们正在为每个新请求创建客户端，而不是关闭它。最终，我们创建了一个具有有限活动连接的连接池，并且该连接池有效。