I will dig deeper into Statefun. Also, yes for now I also can try the
Spring/Kafka solution if Statefun doesn't fit.
Austin - as far rewriting our microservices in Flink here are some things I
was looking for:
- We need to be able to easily share/transform data with other teams.
Flink SQL seems
It seems to be possible now with RequestReplyHandlers from Java SDK
[1] (or other SDKs) unless I'm missing something.
[1]
https://nightlies.apache.org/flink/flink-statefun-docs-release-3.2/docs/sdk/java/#serving-functions
Regards,
Roman
On Fri, Apr 8, 2022 at 7:45 PM Austin Cawley-Edwards
wrote
Good suggestion – though a common misconception with Statefun is that HTTP
ingestion is possible. Last time I checked it was still under theoretical
discussion. Do you know the current state there?
Austin
On Fri, Apr 8, 2022 at 1:19 PM Roman Khachatryan wrote:
> Hi,
>
> Besides the solution su
Hi,
Besides the solution suggested by Austing, you might also want to look
at Stateful Functions [1]. They provide a more convenient programming
model for the use-case I think, while DataStream is a relatively
low-level API.
[1]
https://nightlies.apache.org/flink/flink-statefun-docs-stable/
Rega
Hi Jason,
No, there is no HTTP source/ sink support that I know of for Flink. Would
running the Spring + Kafka solution in front of Flink work for you?
On a higher level, what drew you to migrating the microservice to Flink?
Best,
Austin
On Fri, Apr 8, 2022 at 12:35 PM Jason Thomas
wrote:
> I
I'm taking an existing REST based microservice application and moving all
of the logic into Flink DataStreams.
Is there an easy way to get a request/response from a Flink DataStream so I
can 'call' into it from a REST service? For example, something similar to
this Kafka streams example that use