Hi Dian, thx for your reply !
I was wondering to replace UDF on the fly from Flink, of course I'm pretty
sure that it's possible to implement update logic directly in Python, thx
for idea
Regards,
Rinat
пн, 12 окт. 2020 г. в 14:20, Dian Fu :
> Hi Rinat,
>
> Do you want to replace the UDFs with
Hi Rinat,
Do you want to replace the UDFs with new ones on the fly or just want to update
the model which could be seen as instance variables inside the UDF?
For the former case, it's not supported AFAIK.
For the latter case, I think you could just update the model in the UDF
periodically or
Hi Arvid, thx for your reply.
We are already using the approach with control streams to propagate
business rules through our data-pipeline.
Because all our models are powered by Python, I'm going to use Table API
and register UDF functions, where each UDF is a separate model.
So my question is
Hi Rinat,
Which API are you using? If you use datastream API, the common way to
simulate side inputs (which is what you need) is to use a broadcast. There
is an example on SO [1].
[1]
Hi mates !
I'm in the beginning of the road of building a recommendation pipeline on
top of Flink.
I'm going to register a list of UDF python functions on job
startups where each UDF is an ML model.
Over time new model versions appear in the ML registry and I would like to
update my UDF
