Qingsheng Ren created FLINK-23686:
-
Summary: KafkaSource metric "commitsSucceeded" should count
per-commit instead of per-partition
Key: FLINK-23686
URL: https://issues.apache.org/jira/browse/FLINK-23686
Thanks Yun Tang for being our release manager and everyone else who made
the release possible!
Best Regards,
Yu
On Fri, 6 Aug 2021 at 13:52, Yun Tang wrote:
>
> The Apache Flink community is very happy to announce the release of Apache
> Flink 1.13.2, which is the second bugfix release for the
JING ZHANG created FLINK-23687:
--
Summary: Add Sql query hint to enable LookupJoin shuffle by join
key of left input
Key: FLINK-23687
URL: https://issues.apache.org/jira/browse/FLINK-23687
Project: Flink
+1 (binding)
Cheers,
Till
On Thu, Aug 5, 2021 at 9:09 PM Arvid Heise wrote:
> Dear devs,
>
> I'd like to open a vote on FLIP-180: Adjust StreamStatus and Idleness
> definition [1] which was discussed in this thread [2].
> The vote will be open for at least 72 hours unless there is an objection
Gabor Somogyi created FLINK-23688:
-
Summary: Make JaasModule.getAppConfigurationEntries public
Key: FLINK-23688
URL: https://issues.apache.org/jira/browse/FLINK-23688
Project: Flink
Issue Typ
Hi all,
This is mingliang, a machine learning engineer in recommendation area.
I see there’s discussion about “heterogeneous topologies in training and
inference.” Actually this is a very common case in recommendation system
especially in CTR prediction tasks. For training task, usually data is
Jiayi Liao created FLINK-23689:
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Summary: TestProcessingTimeService.setCurrentTime(long) not delay
the firing timer by 1ms delay
Key: FLINK-23689
URL: https://issues.apache.org/jira/browse/FLINK-23689
Pr
Jiayi Liao created FLINK-23690:
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Summary: Processing timers can be triggered more efficiently
Key: FLINK-23690
URL: https://issues.apache.org/jira/browse/FLINK-23690
Project: Flink
Issue Type: I
Peihui He created FLINK-23691:
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Summary: flink sql submit job blob parallelism
Key: FLINK-23691
URL: https://issues.apache.org/jira/browse/FLINK-23691
Project: Flink
Issue Type: Improvement
Hey all,
I think I've hit some weird issue in Flink TypeInformation generation. I
have the following code:
val stream: DataStream[Event] = ...
tableEnv.createTemporaryView("TableName",stream)
val table = tableEnv
.sqlQuery("SELECT id, timestamp, eventType from TableName")
tableEnvironment.toAppen
Thanks Yun Tang for being our release manager and the great work! Also
thanks a lot to everyone who contributed to this release.
Cheers,
Till
On Mon, Aug 9, 2021 at 9:48 AM Yu Li wrote:
> Thanks Yun Tang for being our release manager and everyone else who made
> the release possible!
>
> Best R
Hi Dominik,
I am pulling in Timo who might know more about this.
Cheers,
Till
On Mon, Aug 9, 2021 at 3:21 PM Dominik Wosiński wrote:
> Hey all,
>
> I think I've hit some weird issue in Flink TypeInformation generation. I
> have the following code:
>
> val stream: DataStream[Event] = ...
> tabl
It should be `id` instead of `licence` in the error, I've copy-pasted it
incorrectly :<
I've also tried additional thing, i.e. creating the ScalarFunction that
does mapping of one avro generated enum to additional avro generated enum:
@FunctionHint(
input = Array(
new DataTypeHint(value = "
Márton Balassi created FLINK-23692:
--
Summary: Clarify text on "Cancel Job" confirmation buttons
Key: FLINK-23692
URL: https://issues.apache.org/jira/browse/FLINK-23692
Project: Flink
Issue T
Gabor Somogyi created FLINK-23693:
-
Summary: Add principal creation possibilities to
SecureTestEnvironment
Key: FLINK-23693
URL: https://issues.apache.org/jira/browse/FLINK-23693
Project: Flink
+1 (binding)
On Mon, Aug 9, 2021 at 12:08 PM Till Rohrmann wrote:
> +1 (binding)
>
> Cheers,
> Till
>
> On Thu, Aug 5, 2021 at 9:09 PM Arvid Heise wrote:
>
> > Dear devs,
> >
> > I'd like to open a vote on FLIP-180: Adjust StreamStatus and Idleness
> > definition [1] which was discussed in this
+1 (binding)
Piotrek
pon., 9 sie 2021 o 18:00 Stephan Ewen napisał(a):
> +1 (binding)
>
> On Mon, Aug 9, 2021 at 12:08 PM Till Rohrmann
> wrote:
>
> > +1 (binding)
> >
> > Cheers,
> > Till
> >
> > On Thu, Aug 5, 2021 at 9:09 PM Arvid Heise wrote:
> >
> > > Dear devs,
> > >
> > > I'd like to o
+1 (binding)
On Tue, Aug 10, 2021 at 12:15 AM Piotr Nowojski
wrote:
> +1 (binding)
>
> Piotrek
>
> pon., 9 sie 2021 o 18:00 Stephan Ewen napisał(a):
>
> > +1 (binding)
> >
> > On Mon, Aug 9, 2021 at 12:08 PM Till Rohrmann
> > wrote:
> >
> > > +1 (binding)
> > >
> > > Cheers,
> > > Till
> > >
>
Hi Dominik,
`toAppendStream` is soft deprecated in Flink 1.13 and will be deprecated
in Flink 1.13. It uses the old type system and might not match perfectly
with the other reworked type system in new functions and sources.
For SQL, a lot of Avro classes need to be treated as RAW types. But w
Sorry, I meant "will be deprecated in Flink 1.14"
On 09.08.21 19:32, Timo Walther wrote:
Hi Dominik,
`toAppendStream` is soft deprecated in Flink 1.13 and will be deprecated
in Flink 1.13. It uses the old type system and might not match perfectly
with the other reworked type system in new fun
Thanks Yun and everyone~!
Thank you~
Xintong Song
On Mon, Aug 9, 2021 at 10:14 PM Till Rohrmann wrote:
> Thanks Yun Tang for being our release manager and the great work! Also
> thanks a lot to everyone who contributed to this release.
>
> Cheers,
> Till
>
> On Mon, Aug 9, 2021 at 9:48 AM Yu
Thanks Mingliang. It is super helpful to get your input. At this point,
there are two ways mentioned in the FLIP to support heterogeneous topology
in training and inference phase.
1. Create two separate DAGs or code for training and inference respectively.
2. An encapsulation API called Graph, whi
Xintong Song created FLINK-23694:
Summary: KafkaWriterITCase hangs on azure
Key: FLINK-23694
URL: https://issues.apache.org/jira/browse/FLINK-23694
Project: Flink
Issue Type: Bug
Co
Xintong Song created FLINK-23695:
Summary:
DispatcherFailoverITCase.testRecoverFromCheckpointAfterJobGraphRemovalOfTerminatedJobFailed
fails due to timeout
Key: FLINK-23695
URL: https://issues.apache.org/jira/bro
Xintong Song created FLINK-23696:
Summary: RMQSourceTest.testRedeliveredSessionIDsAck fails on azure
Key: FLINK-23696
URL: https://issues.apache.org/jira/browse/FLINK-23696
Project: Flink
Iss
Vote for option 2.
It is similar to what we are doing with Tensorflow.
1. Define the graph in training phase
2. Export model with different input/output spec for online inference
Thanks,
Mingliang
On Aug 10, 2021, at 9:39 AM, Becket Qin
mailto:becket@gmail.com>> wrote:
estimatorInputs
本?件
jackylau created FLINK-23697:
Summary: flink standalone Isolation is poor, why not do as spark
does
Key: FLINK-23697
URL: https://issues.apache.org/jira/browse/FLINK-23697
Project: Flink
Issue T
Thank you Mingliang for providing the comments.
Currently option-1 proposes Graph/GraphModel/GraphBuilder to build an
Estimator from a graph of Estimator/Transformer, where Estimator could
generate the model (as a Transformer) directly. On the other hand, option-2
proposes AlgoOperator that can be
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