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.ba...@bonprix.net>:

> Hi Simone,
>
>
>
> that sounds promising!
>
> Unfortunately your link leads to a 404 page.
>
>
>
> Best Regards,
>
>
>
> Julian
>
>
>
> *Von:* Simone Robutti [mailto:simone.robu...@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.ba...@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:se...@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.ba...@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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