Hi,
I fixed the issue. It happened that the below changes worked.
I’ll commit the changes accordingly.
Patrick
> Am 14.09.2020 um 11:38 schrieb Patrick Wiener :
>
> That was my thought - and it would make it „harder“ to automate things again.
> Now that we got a common base image as well
Hi,
I just finished testing the installer for the upcoming release - compose, cli
and k8s for x86 and arm architecture.
We now also have a multiarch image for Flink that supports arm32v7 and arm64v8.
This allows us to run StreamPipes’
Flink Pipeline Elements on arm architectures.
Cheers
wipatrick commented on issue #10:
URL:
https://github.com/apache/incubator-streampipes-installer/issues/10#issuecomment-692055387
I'd close this issue due to inactivity. I could not reproduce the problem.
We can open it again once this should pop up again.
wipatrick closed issue #10:
URL: https://github.com/apache/incubator-streampipes-installer/issues/10
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Hi,
yes I tried that as well, but unfortunately it did not work. So I guess other
libraries are missing as well.
Here is the error log when running it in a docker container:
11:34:57.847 SP [kafka-producer-network-thread | producer-1] INFO
org.apache.kafka.clients.Metadata - Cluster ID:
That was my thought - and it would make it „harder“ to automate things again.
Now that we got a common base image as well this would break things.
I investigated a litlle bit yesterday. Often when using alpine, because it is
so stripped down in favor of lower footprint and so on, you have to
Patrick Wiener created STREAMPIPES-239:
--
Summary: Multi-arch docker image for Flink
Key: STREAMPIPES-239
URL: https://issues.apache.org/jira/browse/STREAMPIPES-239
Project: StreamPipes
Hi Philipp,
we should try to avoid changing the base image as we changed it to OpenJ9 to
decrease the memory footprint - when we change it back we would need to re-run
tests on systems like Raspberry PI to make sure the minimum hardware
requirements are still met.
Is there another way to
