Simon King created SPARK-19814:
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Summary: Spark History Server Out Of Memory / Extreme GC
Key: SPARK-19814
URL: https://issues.apache.org/jira/browse/SPARK-19814
Project: Spark
Issue Type: Bug
Components: Web UI
Affects Versions: 2.1.0, 2.0.0, 1.6.1
Environment: Spark History Server (we've run it on several different
Hadoop distributions)
Reporter: Simon King
Spark History Server runs out of memory, gets into GC thrash and eventually
becomes unresponsive. This seems to happen more quickly with heavy use of the
REST API. We've seen this with several versions of Spark.
Running with the following settings (spark 2.1):
{{spark.history.fs.cleaner.enabled true
spark.history.fs.cleaner.interval 1d
spark.history.fs.cleaner.maxAge 7d
spark.history.retainedApplications 500}}
We will eventually get errors like:
{{17/02/25 05:02:19 WARN ServletHandler:ยท
javax.servlet.ServletException: scala.MatchError: java.lang.OutOfMemoryError:
GC overhead limit exceeded (of class java.lang.OutOfMemoryError)
at
org.glassfish.jersey.servlet.WebComponent.serviceImpl(WebComponent.java:489)
at org.glassfish.jersey.servlet.WebComponent.service(WebComponent.java:427)
at
org.glassfish.jersey.servlet.ServletContainer.service(ServletContainer.java:388)
at
org.glassfish.jersey.servlet.ServletContainer.service(ServletContainer.java:341)
at
org.glassfish.jersey.servlet.ServletContainer.service(ServletContainer.java:228)
at
org.spark_project.jetty.servlet.ServletHolder.handle(ServletHolder.java:812)
at
org.spark_project.jetty.servlet.ServletHandler.doHandle(ServletHandler.java:587)
at
org.spark_project.jetty.server.handler.ContextHandler.doHandle(ContextHandler.java:1127)
at
org.spark_project.jetty.servlet.ServletHandler.doScope(ServletHandler.java:515)
at
org.spark_project.jetty.server.handler.ContextHandler.doScope(ContextHandler.java:1061)
at
org.spark_project.jetty.server.handler.ScopedHandler.handle(ScopedHandler.java:141)
at
org.spark_project.jetty.servlets.gzip.GzipHandler.handle(GzipHandler.java:529)
at
org.spark_project.jetty.server.handler.ContextHandlerCollection.handle(ContextHandlerCollection.java:215)
at
org.spark_project.jetty.server.handler.HandlerWrapper.handle(HandlerWrapper.java:97)
at org.spark_project.jetty.server.Server.handle(Server.java:499)
at org.spark_project.jetty.server.HttpChannel.handle(HttpChannel.java:311)
at
org.spark_project.jetty.server.HttpConnection.onFillable(HttpConnection.java:257)
at
org.spark_project.jetty.io.AbstractConnection$2.run(AbstractConnection.java:544)
at
org.spark_project.jetty.util.thread.QueuedThreadPool.runJob(QueuedThreadPool.java:635)
at
org.spark_project.jetty.util.thread.QueuedThreadPool$3.run(QueuedThreadPool.java:555)
at java.lang.Thread.run(Thread.java:745)
Caused by: scala.MatchError: java.lang.OutOfMemoryError: GC overhead limit
exceeded (of class java.lang.OutOfMemoryError)
at
org.apache.spark.deploy.history.ApplicationCache.getSparkUI(ApplicationCache.scala:148)
at
org.apache.spark.deploy.history.HistoryServer.getSparkUI(HistoryServer.scala:110)
at
org.apache.spark.status.api.v1.UIRoot$class.withSparkUI(ApiRootResource.scala:244)
at
org.apache.spark.deploy.history.HistoryServer.withSparkUI(HistoryServer.scala:49)
at
org.apache.spark.status.api.v1.ApiRootResource.getJobs(ApiRootResource.scala:66)
at sun.reflect.GeneratedMethodAccessor102.invoke(Unknown Source)
at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at
org.glassfish.jersey.server.internal.routing.SubResourceLocatorRouter$1.run(SubResourceLocatorRouter.java:158)
at
org.glassfish.jersey.server.internal.routing.SubResourceLocatorRouter.getResource(SubResourceLocatorRouter.java:178)
at
org.glassfish.jersey.server.internal.routing.SubResourceLocatorRouter.apply(SubResourceLocatorRouter.java:109)
at
org.glassfish.jersey.server.internal.routing.RoutingStage._apply(RoutingStage.java:109)
at
org.glassfish.jersey.server.internal.routing.RoutingStage._apply(RoutingStage.java:112)
at
org.glassfish.jersey.server.internal.routing.RoutingStage._apply(RoutingStage.java:112)
at
org.glassfish.jersey.server.internal.routing.RoutingStage._apply(RoutingStage.java:112)
at
org.glassfish.jersey.server.internal.routing.RoutingStage._apply(RoutingStage.java:112)
at
org.glassfish.jersey.server.internal.routing.RoutingStage.apply(RoutingStage.java:92)
at
org.glassfish.jersey.server.internal.routing.RoutingStage.apply(RoutingStage.java:61)
at org.glassfish.jersey.process.internal.Stages.process(Stages.java:197)
at org.glassfish.jersey.server.ServerRuntime$2.run(ServerRuntime.java:318)
at org.glassfish.jersey.internal.Errors$1.call(Errors.java:271)
at org.glassfish.jersey.internal.Errors$1.call(Errors.java:267)
at org.glassfish.jersey.internal.Errors.process(Errors.java:315)
at org.glassfish.jersey.internal.Errors.process(Errors.java:297)
at org.glassfish.jersey.internal.Errors.process(Errors.java:267)
at
org.glassfish.jersey.process.internal.RequestScope.runInScope(RequestScope.java:317)
at org.glassfish.jersey.server.ServerRuntime.process(ServerRuntime.java:305)
at
org.glassfish.jersey.server.ApplicationHandler.handle(ApplicationHandler.java:1154)
at
org.glassfish.jersey.servlet.WebComponent.serviceImpl(WebComponent.java:473)}}
In our case we see memory usage gradually increase over perhaps 2 days, then
level off near max heap size (4G in our case), then often within 12-24 hours GC
activity will start to increase, and will result in more and more frequent
errors, as in the stack trace above.
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