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Posted to notifications@groovy.apache.org by "Daniel Sun (Jira)" <ji...@apache.org> on 2020/01/03 20:02:00 UTC

[jira] [Commented] (GROOVY-8298) Slow Performance Caused by Invoke Dynamic

    [ https://issues.apache.org/jira/browse/GROOVY-8298?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17007729#comment-17007729 ] 

Daniel Sun commented on GROOVY-8298:
------------------------------------

Here is the PR to implement inline cache for Indy callsite: https://github.com/apache/groovy/pull/1135

I tested the performance against the PR by simply running the following code, and got the time consumed:

Legacy callsite cache: 2s
Indy callsite: 6s
Indy callsite with inline cache: 2s

{code:java}
            for (int i = 0; i < 100000; i++) {
                [1, 1.0f, '1.0'].each { it.toString() }
            }
{code}

P.S. I will try to run the performance tests created by [~jwagenleitner] later.


> Slow Performance Caused by Invoke Dynamic
> -----------------------------------------
>
>                 Key: GROOVY-8298
>                 URL: https://issues.apache.org/jira/browse/GROOVY-8298
>             Project: Groovy
>          Issue Type: Bug
>    Affects Versions: 2.4.12
>            Reporter: Joseph Athman
>            Priority: Critical
>          Time Spent: 10m
>  Remaining Estimate: 0h
>
> I have been researching a problem my application is having where performance seems to be much slower than I would expect. After a lot of research I found GROOVY-6583 which seems to have the same symptoms (though not caused by the same method calls). After more research I found someone who reported a similar issue and created a [sample application|https://github.com/dwclark/deopt-storm] which reproduces the issue. I am seeing the same behavior he discusses which is that using the JIT probe I'm able to see that our production application is constantly uses a large amount of CPU on JIT activities for days on end, it never gets better. 
> When doing a thread dump of our application we often see 20-50 threads all stuck on this same stack trace:
> {code:none}
> "qtp2078714399-360525": running, holding [771bcf60]
> 	at java.lang.invoke.MethodHandleNatives.setCallSiteTargetNormal(Native Method)
> 	at java.lang.invoke.CallSite.setTargetNormal(CallSite.java:258)
> 	at java.lang.invoke.MutableCallSite.setTarget(MutableCallSite.java:154)
> 	at org.codehaus.groovy.vmplugin.v7.Selector$MethodSelector.doCallSiteTargetSet(Selector.java:909)
> 	at org.codehaus.groovy.vmplugin.v7.Selector$MethodSelector.setCallSiteTarget(Selector.java:969)
> 	at org.codehaus.groovy.vmplugin.v7.IndyInterface.selectMethod(IndyInterface.java:228)
> 	at java.lang.invoke.LambdaForm$DMH/1665404403.invokeStatic_L3IL5_L(LambdaForm$DMH)
> 	at java.lang.invoke.LambdaForm$BMH/1828868503.reinvoke(LambdaForm$BMH)
> 	at java.lang.invoke.LambdaForm$reinvoker/1917025677.dontInline(LambdaForm$reinvoker)
> 	at java.lang.invoke.LambdaForm$MH/462773420.guard(LambdaForm$MH)
> 	at java.lang.invoke.LambdaForm$MH/1947020920.linkToCallSite(LambdaForm$MH)
> {code}
> No matter how long the application runs it will continue to show this behavior. From what I've read I think our code causes this problem because we run code that looks like this:
> {code:java}
> // List of objects will consistent of 2-20 instances of classes 
> // which all implement the same interface which defines the runMethod. 
> // Each concrete implementation will have it's own unique behavior
> def resultList = listOfObjects*.runMethod()
> {code}
> Turning off invoke dynamic compilation and using the regular groovy-all jar seems to eliminate the issue and result it overall better performance.
> It would be nice if Groovy could at least identify this situation and prevent itself from getting in to the de-opt storm.



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