Hi All,
I think using plugins, as Stephan suggested, would be the best way to serve
different requirements for difference scenarios, even after they are merged
into Flink core.
As far as I know, the pluggable shuffle service is ready for use.
Failover strategy does not support plugin yet, but
Hi Stephan & Xiaogang,
It's great to see this discussion active again!
It makes sense to me that doing some private optimization and trial through
plugin. I understand that the community could not satisfy every one and
every requirement due to limited resources. The pluggable strategy is a
good
Hi Stephan,
I agree with you that the implementation of "at-most-once" or
"best-effort" recovery will benefit from pluggable shuffle service and
pluggable scheduler. Actually we made some attempts in our private
repository and it turns out that it requires quite a lot of work to
implement this
Hi all!
This is an interesting discussion for sure.
Concerning user requests for changes modes, I also hear the following quite
often:
- reduce the expensiveness of checkpoint alignment (unaligned
checkpoints) to make checkpoints fast/stable under high backpressure
- more fine-grained
Hi All,
It definitely requires a massive effort to allow at-most-once delivery in
Flink. But as the feature is urgently demanded by many Flink users, i think
every effort we made is worthy. Actually, the inability to support
at-most-once delivery has become a major obstacle for Storm users to
Thanks for launching this topic xiaogang!
I also heard of this requirement from users before and I agree it could bring
benefits for some scenarios.
As we know, the fault tolerance is one of the biggest challenges in stream
architecuture, because it is difficult to change if the initial system
+1 from my side to support this feature in Flink.
Best,
Vino
Biao Liu 于2019年6月11日周二 下午6:14写道：
> Hi Piotrek,
> I agree with you that there are strained resources of community to support
> such a feature. I was planing to start a similar discussion after 1.9
> released. Anyway we don't have
Hi Piotrek,
I agree with you that there are strained resources of community to support
such a feature. I was planing to start a similar discussion after 1.9
released. Anyway we don't have enough time to support this feature now, but
I think a discussion is fine.
It's very interesting of your
Thanks Xiaogang for initiating the discussion. I think it is a very good
proposal.
We also received this requirements for Flink from Alibaba internal and
external customers.
In these cases, users are less concerned of the data consistency, but have
higher demands for low latency.
Here are a
Hi Xiaogang,
It sounds interesting and definitely a useful feature, however the questions
for me would be how useful, how much effort would it require and is it worth
it? We simply can not do all things at once, and currently people that could
review/drive/mentor this effort are pretty much
Hi Xiaogang,
It is an interesting topic.
Notice that there is some effort to build a mature mllib of flink these
days, it could be also possible for some ml cases trade off correctness for
timeliness or throughput. Excatly-once delivery excatly makes flink stand
out but an at-most-once option
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