Hi Mason,
Very interesting, is it possible to apply both types of alignment? I.e.,
considering watermark skew across splits from within one source & also from
another source?
Regards,
Alexis.
On Tue, 28 Feb 2023, 05:26 Mason Chen, wrote:
> Hi all,
>
> It's true that the problem can be handled
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Best,
Hang
zhangjunjie 于2023年2月28日周二 00:11写道：
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Best regards,
Weijie
Natia Chachkhiani 于2023年2月28日周二 01:21写道：
>
Hi all,
It's true that the problem can be handled by caching records in state.
However, there is an alternative using `watermark alignment` with Flink
1.15+ [1] which does the desired synchronization that you described while
reducing the size of state from the former approach.
To use this with tw
Hello,
I had this question myself and I've seen it a few times, the answer is
always the same, there's currently no official way to handle it without
state.
Regards,
Alexis.
On Mon, 27 Feb 2023, 14:09 Remigiusz Janeczek, wrote:
> Hi,
>
> How to handle a case where one of the Kafka topics used
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Hi,
How to handle a case where one of the Kafka topics used for interval join
is slower than the other? (Or a case where one topic lags behind)
Is there a way to stop consuming from the fast topic and wait for the slow
one to catch up? I want to avoid running out of memory (or keeping a very
larg
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Thanks & Regards
Sandeep Sharat Kumar
Hi
I think there is no benchmark about this at present
Best,
Shammon
On Sun, Feb 26, 2023 at 5:49 PM Gen Luo wrote:
> Hi,
>
> I suppose there are two things to clarify:
> 1. the function object will only be serialized once when deploying and
> deserialized once per task while initializing.
> 2
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