Hi all,
Thanks very much for all of the feedbacks. It seems that we have reached a
consensus. I will start a vote soon.
Best,
Yingjie
Yun Gao 于2022年1月5日周三 16:08写道:
> Very thanks @Yingjie for completing the experiments!
>
> Also +1 for changing the default config values. From the experiments,
>
Hi everyone,
Vote for create a separate sub project for FLIP-188 thread is here:
https://lists.apache.org/thread/wzzhr27cvrh6w107bn464m1m1ycfll1z
Best,
Jingsong
On Fri, Jan 7, 2022 at 3:30 PM Jingsong Li wrote:
>
> Hi Timo,
>
> I think we can consider exposing to DataStream users in the future
Hi everyone,
I'd like to start a vote for create a separate sub project for
FLIP-188 [1]: `flink-store`.
- If you agree with the name `flink-store`, please just +1
- If you have a better suggestion, please write your suggestion,
followed by a reply that can +1 to the name that has appeared
- If y
Hi Timo,
I think we can consider exposing to DataStream users in the future, if
the API definition is clear after.
I am fine with `flink-table-store` too.
But I tend to prefer shorter and clearer name:
`flink-store`.
I think I can create a separate thread to vote.
Looking forward to your thought
Yubin Li created FLINK-25563:
Summary: Support sink parallelism configuration to Elasticsearch
connector
Key: FLINK-25563
URL: https://issues.apache.org/jira/browse/FLINK-25563
Project: Flink
Is
ziqiang.wang created FLINK-25562:
Summary: hive sql connector 依赖冲突
Key: FLINK-25562
URL: https://issues.apache.org/jira/browse/FLINK-25562
Project: Flink
Issue Type: Improvement
Com
Echo Lee created FLINK-25561:
Summary: Execution mode of batch mode job web ui shows pipeline
Key: FLINK-25561
URL: https://issues.apache.org/jira/browse/FLINK-25561
Project: Flink
Issue Type: B
Hi Thomas,
Thanks for volunteering! There was no volunteer yet, so would be great if
you could help out.
Best regards,
Martijn
Op vr 7 jan. 2022 om 01:54 schreef Thomas Weise
> Hi Martijn,
>
> Thanks for preparing the release. Did a volunteer check in with you?
> If not, I would like to take
Bruce Wong created FLINK-25560:
--
Summary: Add
Key: FLINK-25560
URL: https://issues.apache.org/jira/browse/FLINK-25560
Project: Flink
Issue Type: Improvement
Reporter: Bruce Wong
Zongwen Li created FLINK-25559:
--
Summary: SQL JOIN causes data loss
Key: FLINK-25559
URL: https://issues.apache.org/jira/browse/FLINK-25559
Project: Flink
Issue Type: Bug
Components: T
Hi Martijn,
Thanks for preparing the release. Did a volunteer check in with you?
If not, I would like to take this up.
Thomas
On Mon, Dec 27, 2021 at 7:11 AM Martijn Visser wrote:
>
> Thank you all! That means that there's currently no more blocker to start
> with the Flink 1.14.3 release.
>
>
Paul Lin created FLINK-25558:
Summary: TableResult OK may be empty if returned by multiple
queries
Key: FLINK-25558
URL: https://issues.apache.org/jira/browse/FLINK-25558
Project: Flink
Issue Ty
Yun Tang created FLINK-25557:
Summary: Introduce incremental/full checkpoint size stats
Key: FLINK-25557
URL: https://issues.apache.org/jira/browse/FLINK-25557
Project: Flink
Issue Type: Improvem
Anton Kalashnikov created FLINK-25556:
-
Summary: Extra waiting of final checkpoint in benchmarks
Key: FLINK-25556
URL: https://issues.apache.org/jira/browse/FLINK-25556
Project: Flink
Iss
Fabian Paul created FLINK-2:
---
Summary: FLIP-191: Extend unified Sink interface to support small
file compaction
Key: FLINK-2
URL: https://issues.apache.org/jira/browse/FLINK-2
Project: Flink
Thanks Martijn for driving this!
I’m +1 for Martijn’s proposal. It’s important to avoid making some connectors
above others, and all connectors should share the same quality standard.
Keeping some basic connectors like FileSystem is reasonable since it’s crucial
for new users to try and explor
Till Rohrmann created FLINK-25554:
-
Summary:
DistributedCacheDfsTest.testSubmittingJobViaRestClusterClient fails on AZP
Key: FLINK-25554
URL: https://issues.apache.org/jira/browse/FLINK-25554
Project:
Hi Xuannan,
Thanks for the reply.
I do agree that dynamic tables and cached partitions are similar features
aiming different cases. In my opinion, the main difference of the
implementations is to cache only the data or the whole result partition.
To cache only the data, we can translate the Cac
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