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From Simone Robutti <simone.robu...@radicalbit.io>
Subject Re: Storing JPMML-Model Object as a Variable Closure?
Date Mon, 05 Sep 2016 14:53:08 GMT
>The only drawback is that the Evaluator gets initialized once per
Function-Instance.

I believe that reducing the number of functions instances is something that
should be handled by Flink's runtime and that's why I've implemented the
solution this way. In our tests the number of instances was minimal but
this is still extremely experimental so take it with a grain of salt.

I believe that this is highly dependent on the expected size of the PMML
models though.

2016-09-05 16:33 GMT+02:00 Bauss, Julian <Julian.Bauss@bonprix.net>:

> Hi Simone,
>
>
>
> thank you for your feedback!
>
> The code snippet you provided works fine.
>
>
>
> The only drawback is that the Evaluator gets initialized once per
> Function-Instance.
>
> That could lead to high memory consumption depending on the level of
> parallelism
>
> and the size of the PMML-Model (which can get quite big).
>
>
>
> The „obvious“ optimization would be to initialize and hide the Evaluator
> behind a singleton since it
>
> is thread safe. (Which is what I wanted to avoid in the first place. But
> maybe that is the best solution
>
> at the moment?)
>
>
>
> Best Regards,
>
>
>
> Julian
>
>
>
> *Von:* Simone Robutti [mailto:simone.robutti@radicalbit.io]
> *Gesendet:* Montag, 5. September 2016 15:42
>
> *An:* user@flink.apache.org
> *Betreff:* Re: Storing JPMML-Model Object as a Variable Closure?
>
>
>
> Yes, sorry but it's private and I just discovered we don't want to release
> it as public yet. This piece of code could help you though:
> https://gist.github.com/chobeat/f07221357a2e3f9efa377e4cb0479f92
>
>
>
> Ignore all the stuff about the strategies. The important part is the
> `open` method and the transient var. This is used to load the PMML file and
> instance all the JPMML stuff when you instance the Flink operator. The
> variable `pmmlSource` is a string but you can replace that part with a load
> from HDFS or other FS if you want every node to load the .jpmml file in
> parallel and be in control of that part.
>
>
>
>
>
>
>
> 2016-09-05 15:24 GMT+02:00 Bauss, Julian <Julian.Bauss@bonprix.net>:
>
> Hi Simone,
>
>
>
> that sounds promising!
>
> Unfortunately your link leads to a 404 page.
>
>
>
> Best Regards,
>
>
>
> Julian
>
>
>
> *Von:* Simone Robutti [mailto:simone.robutti@radicalbit.io]
> *Gesendet:* Montag, 5. September 2016 14:59
>
>
> *An:* user@flink.apache.org
> *Betreff:* Re: Storing JPMML-Model Object as a Variable Closure?
>
>
>
> I think you could make use of this small component I've developed:
> https://gitlab.com/chobeat/Flink-JPMML
>
>
>
> It's specifically for using JPMML on Flink. Maybe there's too much stuff
> for what you need but you could reuse the code of the Operator to do what
> you need.
>
>
>
> 2016-09-05 14:11 GMT+02:00 Bauss, Julian <Julian.Bauss@bonprix.net>:
>
> Hi Stephan,
>
>
>
> thanks for your reply!
>
> It seems as if I can only use broadcast variables on DataSet-Operators
> (using myFunc.withBroadcastSet(…))
>
> Is that right?
>
>
>
> I am working on a DataStream, though. Do streams offer similiar
> functionality?
>
>
>
> Best Regards,
>
>
>
> Julian
>
>
>
> *Von:* Stephan Ewen [mailto:sewen@apache.org]
> *Gesendet:* Freitag, 2. September 2016 15:27
> *An:* user@flink.apache.org
> *Betreff:* Re: Storing JPMML-Model Object as a Variable Closure?
>
>
>
> How about using a source and broadcast variable?
>
>
>
> You could write the model to the storage (DFS), the read it with a source
> and use a broadcast variable to send it to all tasks.
>
> A single record can be very large, so it should work even if your model is
> quite big.
>
>
>
> Does that sound feasible?
>
>
>
> In future versions of flink, you may be able to skip the "write to DFS"
> step and simply have the model in a collection source (when large RPC
> messages are supported).
>
>
>
> Best,
>
> Stephan
>
>
>
>
>
>
>
> On Fri, Sep 2, 2016 at 11:20 AM, Bauss, Julian <Julian.Bauss@bonprix.net>
> wrote:
>
> Hello Everybody,
>
>
>
> I’m currently refactoring some code and am looking for a better
> alternative to handle
>
> JPMML-Models in data streams. At the moment the flink job I’m working on
> references a model-object
>
> as a Singleton which I want to change because static references tend to
> cause problems in distributed systems.
>
>
>
> I thought about handing the model-object to the function that uses it as a
> variable closure. The object
>
> can be between 16MB and 250MB in size (depending on the depth of the
> decision tree).
>
>
>
> According to https://cwiki.apache.org/confluence/display/FLINK/
> Variables+Closures+vs.+Broadcast+Variables that’s way too large though.
>
> Are there any viable alternatives or would this be the „right way“ to
> handle this situation?
>
>
>
> Best Regards,
>
>
>
> Julian
>
>
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> Sitz der Gesellschaft: Hamburg
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> Geschäftsführung:
> Dr. Marcus Ackermann (Vorsitzender)
> Dr. Kai Heck
> Rien Jansen
> Markus Fuchshofen
> Beiratsvorsitzender: Alexander Birken
>
> Handelsregister AG Hamburg HR B 36 455
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> Adresse:
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> bonprix Handelsgesellschaft mbH
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> Diese E-Mail enthält vertrauliche und/oder rechtlich geschützte
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> bonprix Handelsgesellschaft mbH
> Sitz der Gesellschaft: Hamburg
>
> Geschäftsführung:
> Dr. Marcus Ackermann (Vorsitzender)
> Dr. Kai Heck
> Rien Jansen
> Markus Fuchshofen
> Beiratsvorsitzender: Alexander Birken
>
> Handelsregister AG Hamburg HR B 36 455
>
> Adresse:
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> bonprix Handelsgesellschaft mbH
>
> Haldesdorfer Str. 61
> 22179 Hamburg
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