Hi Junrui,
Thanks for creating this FLIP!
AdaptiveBatchScheduler is more powerful than DefaultScheduler in batch
scheduling, also with some must-have features like speculative execution.
It will be great that users can easily use it, without required to knowing
the underlying scheduler and config
Hi, JunRui Lee.
Thanks for driving this FLIP. It must a good improvement for batch users'
experiences.
I have few questions about this FLIP:
1: About the configuration renaming. The old configurations will be deprecated
or removed directly? if user upgrade their Flink version, these old
configu
Thanks Qingsheng for the proposal, the pandemic has really impacted development
schedules.
Jan 31st makes sense to me.
Best,
Leonard
Hi, devs,
I'd like to start a discussion about FLIP-283: Use adaptive batch
scheduler as default scheduler for batch jobs[1].
In FLIP-187, we introduced an adaptive batch scheduler. The adaptive
batch scheduler has stronger batch scheduling capabilities, including
automatically deciding paralleli
Hi, Lincoln Lee;
1: Yes, it's a typo; Thanks for pointing out. I have fixed the typo.
2: For stream users, assuming for delete, they will receive
TableException("DELETE TABLE is not supported for streaming mode now"); Update
is similar. I also update them to the FLIP.
Best regards,
Yuxia
Hi Hang,
Thanks for driving this discussion. I think this is a very useful feature
for connectors.
The FLIP looks quite good to me, and I just have two suggestions.
1. In the "Public Interface" section, mention that the implementation
behavior of "SplitEnumeratorContext#metricGroup" is changed f
Hi, everyone
Thanks for the reply and the discussion.
We discussed this with @Guowei Ma, @Dong Lin, and @Yanfei Lei
offline, and reached a consensus on this FLIP. Based on the offline
discussions and suggestions from @Weihua Hu, the following changes
have been updated in the FLIP.
1. Changes in
Martijn Visser created FLINK-30534:
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Summary: Discuss / migrate People section to Hugo
Key: FLINK-30534
URL: https://issues.apache.org/jira/browse/FLINK-30534
Project: Flink
Issue Type: Sub-
Dong Lin created FLINK-30533:
Summary: IteratorSourceReaderBase#pollNext() should push records
to ReaderOutput in a while loop
Key: FLINK-30533
URL: https://issues.apache.org/jira/browse/FLINK-30533
Proje