Joe,
In this scenario we are talking about very similar use cases for these
processors, which would result in very similar processor code.
Probably similar properties, similar functions used by all of these
processors. That would result in a common codebase, which after some
refactoring would resu
Gabor
Thanks. While I understand the logical grouping *these all do doc parsing
things* why is it important for them to be in the same package? Why not
have separate document parsing packages each which can be built/deployed
separately?
Thanks
On Tue, Sep 24, 2024 at 9:29 AM Gábor Gyimesi wrot
David, Joe,
You are right, it's easier to understand such a use case with an
example. We currently have a ParseDocument processor in our python
extensions with PLAIN_TEXT, HTML, MARKDOWN, PDF, WORD, EXCEL,
POWERPOINT input format support, using the unstructured library on its
own or through langch
Team,
NIFI-13762 is a good example but we need to try and remember to have good
commit messages. The repo as a whole is for nifi itself, minifi (java),
c2, the registry, etc..
While the context can always be assumed to be nifi if committing for
registry or minifi or the c2 protocol the commit me
Gabor,
On a similar note, it would be helpful to provide a concrete example.
Unlike Java NARs, Python Processors do not have the same concept of
multiple layers of parent class loaders right now. Virtual
environments provide dependency sharing, but there isn't the same
concept of sharing dependen
Gabor
Can you please describe a specific case or cases where ProcessorA and
ProcessorB should be in the same package/module and yet have such vastly
different (100s of MB or even GB) of dependency requirements?
Thanks
Joe
On Tue, Sep 24, 2024 at 7:32 AM Ferenc Gerlits wrote:
> Hi Gabor,
>
> I
Hi Gabor,
I like this approach, and I think the restriction you propose (that
all utility files in the package use the same dependencies, and extra
dependencies for processor A are only used in ProcessorA.py) is
reasonable. I would be happy to implement this if there are no
objections.
Thanks,
F
+1 (non-binding)
- went through the verification guide
- verified signatures and hashes
- verified successful build
Environment:
- macOS Version 14.3.1
- OpenJDK Runtime Environment Zulu21.28+85-CA (build 21+35)
- Apache Maven 3.9.6
Thanks for RMing David!
Regards,
Mark
Pierre Villard ezt írt
+1 binding
Confirmed the proper behavior when building NiFi while referencing nifi-api
2.0.0
Thanks,
Pierre
Le mar. 24 sept. 2024 à 12:06, Ferenc Kis a
écrit :
> +1 (non-binding)
>
> * ran through the release verification guide
> * verified signatures and hashes
> * successfully built built ni
+1 (non-binding)
* ran through the release verification guide
* verified signatures and hashes
* successfully built built nifi-nar-mavan-plugin and installed the jar into
local maven repository
* built NiFi from the latest main using the nifi-nar-mavan-plugin 2.1.0
* created simple flow, all looke
Hi Murugan,
Are you running the container in Kubernetes? If so you might want to consider
the Prometheus Agent for Kubernetes from New Relic rather than adding the agent
to the Docker image. This does assume that your Docker image is exposing a
Prometheus metrics endpoint.
https://docs.newrelic
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