After read FLIP-198 & FLIP-201,I confuse that this feature can be used on
Yarn mode and how to confige a deterministic `taskmanager.resource-id` ?Or
just suit for k8s mode.
Hi all, Does 'standalone mode support in the kubernetes operator'
means: Using flink-k8s-operator to manage jobs deployed in a
standalone cluster?
What is the advantag doing so.
Yang Wang 于2022年7月14日周四 10:55写道:
>
> I think the standalone mode support is expected to be done in the version
> 1.2.0
Hi all,
Is there any limitation on the number of jobs you can deploy together
within the same Flink application? We are noticing some exceptions related
to task slots at job startup. It typically recovers after 10-20 minutes.
What are some of the recommended configurations that we can tune to
all
Hi all,
Circling back on this--I have created a first draft document in confluence:
https://cwiki.apache.org/confluence/display/FLINK/FLIP-246%3A+Multi+Cluster+Kafka+Source
.
Looking forward to hear all your feedback in this email thread!
Best,
Mason
On Thu, Jun 30, 2022 at 6:57 AM Thomas Weise
Hi Yaroslav,
The test I did was just using earliest, I'll test with committed offset
again, thanks.
Regards,
Alexis.
On Thu, 14 Jul 2022, 20:49 Yaroslav Tkachenko, wrote:
> Hi Alexis,
>
> Do you use OffsetsInitializer.committedOffsets() to specify your Kafka
> consumer offsets? In this case, i
Found the reason: it does not work together with
.withIdleness(Duration.ofSeconds(1))
Isn't this a valid scenario: one subtask has multiple input streams/channels
where some are idle, others have large watermark skews?
In addition, do we expect that the watermark update interval in:
.withWaterm
Hi Alexis,
Do you use OffsetsInitializer.committedOffsets() to specify your Kafka
consumer offsets? In this case, it should get the offsets from Kafka and
not the state.
On Thu, Jul 14, 2022 at 11:18 AM Alexis Sarda-Espinosa <
sarda.espin...@gmail.com> wrote:
> Hello,
>
> Regarding the new Kafka
Hello,
Regarding the new Kafka source (configure with a consumer group), I found
out that if I manually change the group's offset with Kafka's admin API
independently of Flink (while the job is running), the Flink source will
ignore that and reset it to whatever it stored internally. Is there any
-> If so, I think you can set Task1 and Task2 to the same parallelism and
set them in the same slot sharing group. In this way, Task1 and Task2 will
be deployed into the same slot(That is, the same task manager).
*Updating task details *
*Task1- Source some static data over HTTPS and keep it in me
Thanks for the tip!
On Wed, Jul 13, 2022 at 10:33 AM Jing Ge wrote:
> Hi,
>
> you don't have to do that. Next time you can try "Invalidate Caches..."
> under the File menu in Intellij Idea.
>
> Best regards,
> Jing
>
> On Wed, Jul 13, 2022 at 7:21 PM Min Tu via user
> wrote:
>
>> Thanks a lot !
Biao and Matyas,
Thanks for the responses. Biao, I tried what you suggested, but maybe I'm
not clear on this step
Use -Dlogback.configurationFile= to specify the logback.xml(mounted
or packaged in the image) in spec.flinkConfiguration
I added my logback-console.xml to /opt/flink/logback-console.
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