wouter ligtenberg created FLINK-5388:
Summary: Remove private access of edges and vertices of Gelly
Graph class
Key: FLINK-5388
URL: https://issues.apache.org/jira/browse/FLINK-5388
Project: Flink
The Flink PMC is pleased to announce the availability of Flink 1.1.4.
The official release announcement:
https://flink.apache.org/news/2016/12/21/release-1.1.4.html
Release binaries:
http://apache.lauf-forum.at/flink/flink-1.1.4
Please update your Maven dependencies to the new 1.1.4 version and
Yes, it would seem that the bounded-out-of-orderness extractor has an
off-by-one error. We should fix it. In most practical cases these errors
should not change results by much, however (IMHO).
Cheers,
Aljoscha
On Wed, 21 Dec 2016 at 22:43 Jaromir Vanek wrote:
> Aljoscha, thank you very much fo
Hi,
We have a computation heavy streaming flink job which will be processing
around 100 million message at peak time and around 1 million messages in
non peak time. We need the capability to dynamically scale so that the
computation operator can scale up and down during high or low work loads
resp
Hi all,
I would like to work on above mentioned issue [1].
Could someone please provide more details about it, like where should I
work on the source code etc?
Thanks!
Minudika
Hi all,
I would like to work on above mentioned issue [1].
Could someone please provide more details about it, like where should I
work on the source code etc?
[1] https://issues.apache.org/jira/browse/FLINK-4088
P.S : Added the URL of the JIRA ticket
Thanks!
On Sat, Dec 24, 2016 at 2:49 AM, M
Anton Solovev created FLINK-5389:
Summary: Fails #testAnswerFailureWhenSavepointReadFails
Key: FLINK-5389
URL: https://issues.apache.org/jira/browse/FLINK-5389
Project: Flink
Issue Type: Bug
Thank you Ufuk for your work as release manager and everybody who
contributed!
Cheers, Fabian
2016-12-23 16:40 GMT+01:00 Ufuk Celebi :
> The Flink PMC is pleased to announce the availability of Flink 1.1.4.
>
> The official release announcement:
> https://flink.apache.org/news/2016/12/21/release
Hi Haohui,
sorry for the delayed reply.
Defining joins and windowing on streams with SQL is certainly on the road
map of Flink.
However, the challenge here is not so much in mapping RelNodes to Flink's
DataStream operators.
It is rather to have the right SQL syntax and semantics to define common
Ted Yu created FLINK-5390:
-
Summary: input should be closed in finally block in
YarnFlinkApplicationMasterRunner#loadJobGraph()
Key: FLINK-5390
URL: https://issues.apache.org/jira/browse/FLINK-5390
Project: F
Ted Yu created FLINK-5391:
-
Summary: Unprotected access to shutdown in
AbstractNonHaServices#checkNotShutdown()
Key: FLINK-5391
URL: https://issues.apache.org/jira/browse/FLINK-5391
Project: Flink
I
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