Zhilong Hong created FLINK-21920:
Summary: Optimize DefaultScheduler#allocateSlots
Key: FLINK-21920
URL: https://issues.apache.org/jira/browse/FLINK-21920
Project: Flink
Issue Type: Sub-task
Jingsong Lee created FLINK-21919:
Summary: JsonPlanTestBase should extends AbstractTestBase
Key: FLINK-21919
URL: https://issues.apache.org/jira/browse/FLINK-21919
Project: Flink
Issue Type:
Dian Fu created FLINK-21918:
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Summary: Add execution.runtime-mode setter in
StreamExecutionEnvironment
Key: FLINK-21918
URL: https://issues.apache.org/jira/browse/FLINK-21918
Project: Flink
Issue
Leonard Xu created FLINK-21917:
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Summary: Add back missing zh docs
Key: FLINK-21917
URL: https://issues.apache.org/jira/browse/FLINK-21917
Project: Flink
Issue Type: Bug
Components:
Thanks for the feedback everyone. I will proceed if there is no objection.
Best,
Xingbo
Till Rohrmann 于2021年3月22日周一 下午5:30写道:
> If there is no other way, then I would say let's go with splitting the
> modules. This is already better than keeping the Flink binaries bundled
> with every
Dian Fu created FLINK-21916:
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Summary: Allows multiple kinds of ManagedMemoryUseCase for the
same operator
Key: FLINK-21916
URL: https://issues.apache.org/jira/browse/FLINK-21916
Project: Flink
Zhilong Hong created FLINK-21915:
Summary: Optimize Execution#finishPartitionsAndUpdateConsumers
Key: FLINK-21915
URL: https://issues.apache.org/jira/browse/FLINK-21915
Project: Flink
Issue
+1
Regards,
Dian
On Fri, Mar 19, 2021 at 6:39 PM Till Rohrmann wrote:
> +1
>
> Cheers,
> Till
>
> On Fri, Mar 19, 2021 at 9:02 AM Becket Qin wrote:
>
> > +1. Thanks for driving the effort, Dong.
> >
> > Jiangjie (Becket) Qin
> >
> > On Fri, Mar 19, 2021 at 10:07 AM Dong Lin wrote:
> >
> > >
Spongebob created FLINK-21914:
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Summary: Trying to access closed classloader
Key: FLINK-21914
URL: https://issues.apache.org/jira/browse/FLINK-21914
Project: Flink
Issue Type: Bug
Timo Walther created FLINK-21913:
Summary: Update DynamicTableFactory.Context to use
ResolvedCatalogTable
Key: FLINK-21913
URL: https://issues.apache.org/jira/browse/FLINK-21913
Project: Flink
Timo Walther created FLINK-21912:
Summary: Introduce Schema and ResolvedSchema in Python API
Key: FLINK-21912
URL: https://issues.apache.org/jira/browse/FLINK-21912
Project: Flink
Issue
Timo Walther created FLINK-21911:
Summary: Support arithmetic MIN/MAX in SQL
Key: FLINK-21911
URL: https://issues.apache.org/jira/browse/FLINK-21911
Project: Flink
Issue Type: Sub-task
If there is no other way, then I would say let's go with splitting the
modules. This is already better than keeping the Flink binaries bundled
with every Python/platform package.
Cheers,
Till
On Mon, Mar 22, 2021 at 8:28 AM Xingbo Huang wrote:
> When we **pip install** a wheel package, it just
Hi Yingjie!
Thanks for doing those experiments, the results look good. Let's go ahead
with 32M then.
Regarding the key, I am not strongly opinionated there. There are arguments
for both keys, (1) making the key part of the network pool config as you
did here or (2) making it part of the TM
Thanks for the update Yingjie. Then let's go with 32 MB I would say.
Concerning the name of the configuration option I see Xintong's point. If
the batch shuffle is subtracted from
`taskmanager.memory.framework.off-heap.size` because it is part of the
off-heap pool, then something like
pengkangjing created FLINK-21910:
Summary: Wrong Checks whether the service has been started.
Key: FLINK-21910
URL: https://issues.apache.org/jira/browse/FLINK-21910
Project: Flink
Issue
When we **pip install** a wheel package, it just unpacks the wheel package
and installs its dependencies[1]. There is no way to download things from
an external website during installation. It works differently from the
source package where we could download something in the setup.py. This is
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