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https://issues.apache.org/jira/browse/FLINK-19052?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Aljoscha Krettek closed FLINK-19052.
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    Fix Version/s: 1.12.0
         Assignee: Roman Grebennikov
       Resolution: Fixed

master: 162e3ead63e5766cf2116af09922a88537889e53

> Performance issue with PojoSerializer
> -------------------------------------
>
>                 Key: FLINK-19052
>                 URL: https://issues.apache.org/jira/browse/FLINK-19052
>             Project: Flink
>          Issue Type: Improvement
>          Components: API / Type Serialization System
>    Affects Versions: 1.11.1
>         Environment: Flink 1.12 master on 26.08.2020
>            Reporter: Roman Grebennikov
>            Assignee: Roman Grebennikov
>            Priority: Major
>              Labels: pull-request-available
>             Fix For: 1.12.0
>
>         Attachments: image-2020-08-26-10-46-19-800.png, 
> image-2020-08-26-10-49-59-400.png
>
>
> Currently PojoSerializer.createInstance() uses reflection call to create a 
> class instance. As this method is called on each stream element on 
> deserialization, reflection overhead can become noticeable in 
> serialization-bound cases when:
>  # Pojo class is small, so instantiation is noticeable.
>  # The job is not having heavy CPU-bound event processing.
> See this flamegraph built for 
> flink-benchmarks/SerializationFrameworkMiniBenchmarks.serializerPojo 
> benchmark:
> !image-2020-08-26-10-46-19-800.png!
> This Reflection.getCallerClass method consumes a lot of CPU, mostly doing a 
> security check if we allowed to do this reflective call.
>  
> There is no true reason to perform this check on each deserializing event, so 
> to speed things up we can just cache the constructor using MetaHandle, so 
> this check will be performed only once. With this tiny fix, the 
> getCallerClass is gone:
>  
> !image-2020-08-26-10-49-59-400.png!
>  
> The benchmark result:
> {noformat}
> serializerPojo thrpt 100 487.706 ± 30.480 ops/ms
> serializerPojo thrpt 100 569.828 ± 8.815 ops/m{noformat}
> Which is +15% to throughput.



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