Thanks Ron and Thias,
I understand flink parallelism works at task level. Distribute n subtasks
of the operator across your cluster and parallel process the elements by
distributing them across multiple instances of your operator. This gives
me very high throughput. What I want to know is how to
The Apache Flink community is very happy to announce the release of Apache
flink-connector-mongodb 1.0.2.
Apache Flink® is an open-source stream processing framework for
distributed, high-performing, always-available, and accurate data streaming
applications.
The release is available for
The Apache Flink community is very happy to announce the release of Apache
Flink Kubernetes Operator 1.6.0.
The Flink Kubernetes Operator allows users to manage their Apache Flink
applications and their lifecycle through native k8s tooling like kubectl.
Release highlights:
- Improved rollback
The Apache Flink community is very happy to announce the release of Apache
Flink Kubernetes Operator 1.6.0.
The Flink Kubernetes Operator allows users to manage their Apache Flink
applications and their lifecycle through native k8s tooling like kubectl.
Release highlights:
- Improved rollback
Hi, Patricia
Maybe you should check the code carefully,
a reply code of 404 typically indicates that an error occured in client
side.Alternatively,could you share a snippet code where the error
occured? This would greatly assist us in addressing your issue effectively.
Best
Jiadong Lu
On
Hi there
It would be helpful if you could include the code for your pipeline. One
suggestion, can you disable the "EXACTLY_ONCE" semantics on the producer.
Using EXACTLY_ONCE will leverage Kafka transactions and thus add overhead.
I would disable it to see if you still get the same situation.
Sorry, I've forgot putting title, so sending again.
2023년 8월 15일 (화) 오후 6:27, Dennis Jung 님이 작성:
> (this is issue from Flink 1.14)
>
> Hello,
>
> I've set up following logic to consume messages from kafka, and produce
> them to another kafka broker. For producer, I've configured
>
(this is issue from Flink 1.14)
Hello,
I've set up following logic to consume messages from kafka, and produce
them to another kafka broker. For producer, I've configured
`Semantics.EXACTLY_ONCE` to send messages exactly once. (also setup
'StreamExecutionEnvironment::enableCheckpointing' as
Check this answer: https://stackoverflow.com/a/64721838/5793905
You could then use, for example, something like: new
SetTypeInfo(Types.STRING) instead of Types.LIST(Types.STRING)
Am Di., 15. Aug. 2023 um 10:40 Uhr schrieb :
> Hello Alexis,
>
> Thank you for sharing the helper classes this but
Hello Alexis,
Thank you for sharing the helper classes this but unfortunately I have no idea
how to use these classes or how they might be able to help me. This is all very
new to me and I honestly can't wrap my head around Flink's type information
system.
Best regards,
Saleh.
> On 14 Aug
Hi Vignesh,
In addition to what Ron has said, there are a number of options to consider,
depending on the nature of your calculations:
Given that your main focus seems to be latency:
* As Ron has said, Flink manages parallelism in a coarse grained way that
is optimized for spending as
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