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Optimise RESTEasy for closed world

See original GitHub issue

Profling a Quarkus application it’s immediatley visible that the current RESTEasy extension isn’t taking advantage of the closed world assumption:

Annotation scanning and type introspection:

Stack Trace	TLABs	Total TLAB Size(bytes)	Pressure(%)
java.lang.reflect.Method.getParameterTypes()	28	137,118,288	6.174
   sun.reflect.annotation.AnnotationInvocationHandler.invoke(Object, Method, Object[])	28	137,118,288	6.174
      com.sun.proxy.$Proxy17.annotationType()	16	77,359,528	3.483
         org.jboss.resteasy.spi.util.FindAnnotation.findAnnotation(Annotation[], Class)	16	77,359,528	3.483
            org.jboss.resteasy.plugins.providers.sse.SseEventSinkInterceptor.filter(ContainerRequestContext)	16	77,359,528	3.483

And more…

Stack Trace	TLABs	Total TLAB Size(bytes)	Pressure(%)
java.lang.Class.getInterfaces()	425	2,083,949,208	93.826
   org.jboss.resteasy.core.providerfactory.Utils.createHeaderDelegateFromInterfaces(Map, Class[])	219	1,071,276,576	48.233
   org.jboss.resteasy.core.providerfactory.Utils.createHeaderDelegate(Map, Class)	206	1,012,672,632	45.594

I suppose this implies we can improve it a lot still?

The above methods have been identified when looking for strong allocators; this implies memory consumption could be cut down by dodging these operations.

Issue Analytics

State:
Created 4 years ago
Comments:33 (32 by maintainers)

Top GitHub Comments

1reaction

asoldanocommented, Jul 29, 2021

Adding @jamezp here. James, I think it might be worth isolating the possible improvements that could go into RESTEasy and create JIRAs for them.

1reaction

geoandcommented, Jul 29, 2021

Who is going to improve it? And where is the improvement going to go? If it’s in Quarkus (which I doubt anyone will do at this point), then it would make sense to leave the ticket open. But if the fix is going to be in RESTEasy, then it’s probably best to track it in the appropriate issue tracker

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