xuhuang created FLINK-35992:
---
Summary: NettyShuffleMaster not close tiered-storage resources
Key: FLINK-35992
URL: https://issues.apache.org/jira/browse/FLINK-35992
Project: Flink
Issue Type: Bug
yux created FLINK-35991:
---
Summary: Resolve conflicting definitions in transform
SqlFunctionTable definition
Key: FLINK-35991
URL: https://issues.apache.org/jira/browse/FLINK-35991
Project: Flink
Issue
Peter Larsen created FLINK-35990:
Summary: Lingering Transactions with FlinkKafkaProducer after
failures & scale-down
Key: FLINK-35990
URL: https://issues.apache.org/jira/browse/FLINK-35990
Project: F
Thanks for the feedbacks, since no objection proceeding.
G
On Thu, Aug 1, 2024 at 2:06 PM Gabor Somogyi
wrote:
> Hi Ferenc,
>
> That's a good point! Let's wait for Monday for further opinions.
>
> BR,
> G
>
>
> On Thu, Aug 1, 2024 at 12:55 PM Ferenc Csaky
> wrote:
>
>> Hi,
>>
>> AFAIK 1.20 wi
Hi Yu Chen,
Apologies for the late reply. Thanks for your feedback and for emphasizing
the importance of this work for FLINK-33230. Looking forward to your
contributions.
Best,
Junrui
Junrui Lee 于 2024年8月6日周二 22:05写道:
> Hi everyone,
>
> David, Zhu and I had an offline discussion about FLIP-468
Hi everyone,
David, Zhu and I had an offline discussion about FLIP-468 and more. Here
are the key points:
1. Flink lacks a stable public REST API for job submission. Such a public
REST API will allow users to create and store compiled plans of jobs, and
to directly submit/resumit these plans. It c
Hi everyone,
David, Zhu and I had an offline discussion about FLIP-468 and more. Here
are the key points:
1. Flink lacks a stable public REST API for job submission. Such a public
REST API will allow users to create and store compiled plans of jobs, and
to directly submit/resumit these plans. It c
Hi Xuyang,
Thanks for driving this! I'm happy to see operator implementation on top of
the async state. Overall it looks good, I have one minor question:
It seems the only difference between the new operator implementation and
the original one is the way of state accessing. Does this mean the sta
Hi All,
I have a use case where I read from Kafkf and have some records
that I want to submit from Flink to a rest service with throttling, I
thought that the AsyncIO operator would be the best for such use cases,
however I wanted to know if AsyncIO is a stateful operator?
What I want to
Hi Piotr,
Thanks for your explanation! Now I roughly get your point.
All in all, I would be hesitant to allow users to declare callbacks
> everywhere,
> as it might lead to some unforeseen problems or readability issues?
> I don't see a good motivation for them neither in `open`, `setup` nor
> `s
Hong Liang Teoh created FLINK-35989:
---
Summary: Document and log error on partially failed requests for
AWS sinks
Key: FLINK-35989
URL: https://issues.apache.org/jira/browse/FLINK-35989
Project: Flin
Hi again,
Thanks for further explanation!
> I briefly revisit all SQL operator implementations, and it seems feasible
> for all scenarios. I'm not sure if this answers your question.
I think you misunderstood what I meant. Initially I was wondering if we
should allow for
those async callbacks to
Hi Piotr,
Thanks for your reply!
Because the remote state backend/async state accesses are only supported
> on the keyed state?
Yes. And since we only have a heap implementation of Operator State,
offloading them to async threads seems pointless. Currently we keep the
interface in sync-style a
Hi Zakelly,
Thanks for your responses!
> IIUC, the AsyncWaitOperator and AsyncScalarFunction are all non-keyed, so
> we don't need to worry too much
Because the remote state backend/async state accesses are only supported
on the keyed state?
> Furthermore, as I mentioned, we currently
> do not
Hi devs,
It has been more than 15 months since we kicked off the 2.0 release
plan[1]. With Flink 1.20 released last week, we finally entered the 2.0
release cycle.
As previously decided, Becket, Jark, Martijn and I will serve as the
release managers. We had a brief offline discussion (except for
luolei created FLINK-35988:
--
Summary: Reduce the number of state queries in the
AppendOnlyFirstNFunction.
Key: FLINK-35988
URL: https://issues.apache.org/jira/browse/FLINK-35988
Project: Flink
Issu
16 matches
Mail list logo