gt;>> Best,
>>> >>>> Xingcan
>>> >>>>
>>> >>>> On Jul 11, 2019, at 1:08 PM, Shuyi Chen wrote:
>>> >>>>
>>> >>>> Congratulations, Rong!
>>> >>>>
>>> >>>>
Hi Caizhi,
from my understanding, the "ProjectableTableSource" interface is used for
something like predicator push-down scenarios:
where your produced output should be the same as how your SELECT statement
requires.
For example, in the case of:
SourceSchema: {a: Int, b: Double, c: String, d: Lon
see when
"PushProjectIntoTableSourceScanRule" gets invoked.
--
Rong
--
Rong
On Fri, Jul 12, 2019 at 8:33 PM Caizhi Weng wrote:
> Hi Rong,
>
> Thanks for your explanation. What I'm wondering when implementing this
> interface is that, will `projectFields` be called twice
Congratulations Becket!
--
Rong
On Thu, Jul 18, 2019 at 7:05 AM Xingcan Cui wrote:
> Congrats Becket!
>
> Best,
> Xingcan
>
> On Thu, Jul 18, 2019, 07:17 Dian Fu wrote:
>
> > Congrats Becket!
> >
> > > 在 2019年7月18日,下午6:42,Danny Chan 写道:
> > >
> > >> Congratulations!
> > >
> > > Best,
> > > Da
Congratulations Kurt!!
--
Rong
On Tue, Jul 23, 2019 at 7:31 AM zhijiang
wrote:
> Congrats Kurt!
>
> Best,
> Zhijiang
> --
> From:Till Rohrmann
> Send Time:2019年7月23日(星期二) 21:08
> To:dev
> Subject:Re: [ANNOUNCE] Kete Young is now
Hi Shuyi,
I think there were some discussions in the mailing list [1,2] and JIRA
tickets [3,4] that might be related.
Since the table-blink planner doesn't produce such error, I think this
problem is valid and should be fixed.
Thanks,
Rong
[1]
http://apache-flink-user-mailing-list-archive.233605
We've also experienced some issues with our internal JFrog artifactory. I
am suspecting some sort of mirroring problem but somehow it only occur to
the mapr-fs module.
So +1 to remove.
On Mon, Jul 29, 2019 at 12:47 PM Stephan Ewen wrote:
> It should be fairly straightforward to rewrite the code
Congratulations Hequn, well deserved!
--
Rong
On Wed, Aug 7, 2019 at 8:30 AM wrote:
> Congratulations, Hequn!
>
>
>
> *From:* Xintong Song
> *Sent:* Wednesday, August 07, 2019 10:41 AM
> *To:* dev@flink.apache.org
> *Cc:* user
> *Subject:* Re: [ANNOUNCE] Hequn becomes a Flink committer
>
>
>
Congratulations Andrey!
On Wed, Aug 14, 2019 at 10:14 PM chaojianok wrote:
> Congratulations Andrey!
> At 2019-08-14 21:26:37, "Till Rohrmann" wrote:
> >Hi everyone,
> >
> >I'm very happy to announce that Andrey Zagrebin accepted the offer of the
> >Flink PMC to become a committer of the Flink
Thanks for putting together the proposal @Timo and sorry for joining the
discussion thread late.
I also share the same thought with Fabian on the ease-of-use front. However
I was wondering if we need to start the expression design with them?
One thing I can think of is: is it possible to support "
Congratulations Zili!
--
Rong
On Wed, Sep 11, 2019 at 6:26 PM Hequn Cheng wrote:
> Congratulations!
>
> Best, Hequn
>
> On Thu, Sep 12, 2019 at 9:24 AM Jark Wu wrote:
>
>> Congratulations Zili!
>>
>> Best,
>> Jark
>>
>> On Wed, 11 Sep 2019 at 23:06, wrote:
>>
>> > Congratulations, Zili.
>> >
Hi All,
Sorry for joining the discussion late and thanks Yijie & Sijie for driving
the discussion.
I also think the Pulsar connector would be a very valuable addition to
Flink. I can also help out a bit on the review side :-)
Regarding the timeline, I also share concerns with Becket on the
relati
ed a FLIP that describes the current design of the Pulsar
> connector:
>
>
> https://docs.google.com/document/d/1rES79eKhkJxrRfQp1b3u8LB2aPaq-6JaDHDPJIA8kMY/edit#
>
> Please take a look and let me know what you think.
>
> Thanks,
> Yijie
>
> On Sat, Sep 14, 20
CC @Xu Yang
Thanks for starting the discussion @Hequn Cheng and
sorry for joining the discussion late.
I've mainly helped merging the code in flink-ml-api and flink-ml-lib in the
past several months.
IMO the flink-ml-api are an extension on top of the table API and agree
that it should be treat
can revisit this
> easily instead of blocking the improvement for users. What do you think?
>
> Best,
> Hequn
>
> [1]
> http://apache-flink-mailing-list-archive.1008284.n3.nabble.com/DISCUSS-Support-Python-ML-Pipeline-API-td37291.html
>
> On Sat, Feb 8, 2020 at 1:57 AM Rong Ro
Hi All,
Recently we have been experimenting using Flink’s history server as a
centralized debugging service for completed streaming jobs.
Specifically, we dynamically generate links to access log files on the YARN
host; in the meantime, we use the Flink history server to show job graphs,
exceptio
Thanks for driving this initiative @Hequn Cheng .
Moving towards python based ML is definitely a huge win consider how large
the python-ML community is. a big +1 on my side!
Regarding the doc, I only left a few comments on the specific APIs. overall
the architecture looks very good!
Looking forwa
+1 (binding)
On Fri, Feb 14, 2020 at 7:15 AM Zhijiang
wrote:
> +1 (binding), it is valuable to enhance the python API for supporting ML
> well.
>
> Best,
> Zhijiang
>
>
> --
> From:Dian Fu
> Send Time:2020 Feb. 14 (Fri.) 15:07
> To
>
> Best,
> Aljoscha
>
> [1] https://issues.apache.org/jira/browse/FLINK-14317
>
> On 13.02.20 03:47, SHI Xiaogang wrote:
> > Hi Rong Rong,
> >
> > Thanks for the proposal. We are also suffering from some pains brought by
> > history server. To address them
t this is only a thought and still have many details to iron
out.
We would share the design doc soon, and we would love to hear more of your
ideas and looking forward to your feedbacks.
Thanks,
Rong
On Sun, Feb 16, 2020 at 7:02 PM Yang Wang wrote:
> Hi Rong Rong,
>
>
> Thanks for s
Congratulations Jingsong!!
Cheers,
Rong
On Fri, Feb 21, 2020 at 8:45 AM Bowen Li wrote:
> Congrats, Jingsong!
>
> On Fri, Feb 21, 2020 at 7:28 AM Till Rohrmann
> wrote:
>
>> Congratulations Jingsong!
>>
>> Cheers,
>> Till
>>
>> On Fri, Feb 21, 2020 at 4:03 PM Yun Gao wrote:
>>
>>> Congr
Big +1 on this. Some of these topics are not only for contributors, but
would also be super useful for advance users.
One topic I can think of in addition is: Security/Kerberos.
Echo on Both Seth's idea, we could have both wiki and PR submission:
As Robert mentioned - wiki submission would make th
+1 (binding)
--
Rong
On Fri, Mar 6, 2020 at 6:43 PM Peter Huang
wrote:
> Hi Kostas,
>
> Thanks for the effort of combing our needs with the long term goal of
> execution mode of Flink application.
> Looking forward to the feature in Flink
>
> +1 (non-binding) from my side
>
>
> Best Regards
> P
nificant
> > >>>>>> portion is spent on polishing the language. If the blog does not
> > >>>> require
> > >>>>>> such formal and high quality languages, I believe it will make
> > >>> things a
> > >>>>>
Hi All,
I would like to bring back this discussion which I saw multiple times in
previous ML threads [1], but there seem to have no solution if
checkpointing is disabled.
All of these ML reported exceptions have one common pattern:
> *INFO* org.apache.kafka.clients.consumer.internals.AbstractCoo
but somehow still want to avoid a certain amount of data loss. Most
of our analytics use cases falls into this category.
--
Rong
[1] https://issues.apache.org/jira/browse/KAFKA-6362
[2] https://github.com/apache/kafka/pull/4326
On Wed, Mar 11, 2020 at 10:16 AM Aljoscha Krettek
wrote:
>
Hi All,
Has anyone tried to manage production Flink applications through JMX remote
monitoring & management[1]?
We were experimenting to enable JMXRMI on Flink by default in production
and would like to share some of our thoughts:
** Is there any straightforward way to dynamically allocate JMXRMI
am not
sure that would eventually happen.
--
Rong
On Fri, Mar 13, 2020 at 6:43 AM Aljoscha Krettek
wrote:
> Thanks for the update!
>
> On 13.03.20 13:47, Rong Rong wrote:
> > 1. I think we have finally pinpointed what the root cause to this issue
> is:
> > When partitio
Thanks @Till for sharing the JIRA information.
I thought as well that this should not be an isolated case to our
situation. We would continue to follow up on the JIRA ticket.
Best,
Rong
On Fri, Mar 20, 2020 at 7:30 AM Till Rohrmann wrote:
> Hi Rong Rong,
>
> you are right that it JMX
Congratulations to all!!!
--
Rong
On Wed, Apr 1, 2020 at 2:27 PM Thomas Weise wrote:
> Congratulations!
>
>
> On Wed, Apr 1, 2020 at 9:31 AM Fabian Hueske wrote:
>
> > Congrats everyone!
> >
> > Cheers, Fabian
> >
> > Am Mi., 1. Apr. 2020 um 18:26 Uhr schrieb Yun Tang :
> >
> > > Congratulatio
Great feature, I kinda like how the dialect / conformance is handled.
+1. also could you please update the FLIP-123 link and add a
summary/description row in the main page[1] please?
Thanks,
Rong
--
[1]
https://cwiki.apache.org/confluence/display/FLINK/Flink+Improvement+Proposals
On Tue, Apr 14
+1 on to state with one recommendation method in the wiki.
I haven't encountered this often, so I do not have a preference regarding
which way to go (Gitbox or Github). However, I've experienced some
different issues on both Github and Gitbox when setting up new committer
credentials.
If possible,
+1 (non-binding). Thanks for the effort and leading the discussions @Jark
--
Rong
On Thu, Sep 26, 2019 at 7:36 PM JingsongLee
wrote:
> +1 non-binding
> (nit: Add a road map?)
>
> Best,
> Jingsong Lee
>
>
> --
> From:Kurt Young
> S
inding? Committer votes are
> binding :-)
>
> Thanks,
> Timo
>
> On 29.09.19 02:17, Rong Rong wrote:
> > +1 (non-binding). Thanks for the effort and leading the discussions @Jark
> >
> > --
> > Rong
> >
> > On Thu, Sep 26, 2019 at 7:36 PM Ji
> >
> > Thanks,
> > Thomas
> >
> > On Fri, Sep 27, 2019 at 9:29 AM Rong Rong wrote:
> >
> > > +1 on to state with one recommendation method in the wiki.
> > > I haven't encountered this often, so I do not have a preference
> regarding
Hi Gyula,
Sorry for the late reply. I think it is definitely a challenge in terms of
log visibility.
However, for your requirement I think you can customize your Flink job by
utilizing a customized log formatter/encoder (e.g. log4j.properties or
logback.xml) and a suitable logger implementation.
Hi Yijie,
I also agree with Jark on separating the Catalog part into another FLIP.
With FLIP-27[1] also in the air, it is also probably great to split and
unblock the sink implementation contribution.
I would suggest either putting in a detail implementation plan section in
the doc, or (maybe too
+1 (binding)
Thanks Timo for driving this.
--
Rong
On Mon, Oct 21, 2019 at 8:19 AM wrote:
> +1 (binding)
>
> Best,
> Xingcan
>
> -Original Message-
> From: jincheng sun
> Sent: Monday, October 21, 2019 5:04
> To: dev
> Subject: Re: [VOTE] FLIP-65: New type inference for Table API UDF
Congratulations Becket!!
--
Rong
On Mon, Oct 28, 2019, 7:53 AM Jark Wu wrote:
> Congratulations Becket!
>
> Best,
> Jark
>
> On Mon, 28 Oct 2019 at 20:26, Benchao Li wrote:
>
> > Congratulations Becket.
> >
> > Dian Fu 于2019年10月28日周一 下午7:22写道:
> >
> > > Congrats, Becket.
> > >
> > > > 在 2019年
Congratulations Jark!!!
On Fri, Nov 8, 2019 at 10:03 AM Xuefu Z wrote:
> Many congratulations, Jark!
>
> On Fri, Nov 8, 2019 at 2:31 AM wenlong.lwl
> wrote:
>
> > Congratulations Jark, well deserved!
> >
> >
> > Best,
> > Wenlong Lyu
> >
> > On Fri, 8 Nov 2019 at 18:22, tison wrote:
> >
> > >
Thanks @Tison for starting the discussion and sorry for joining so late.
Yes, I think this is a very good idea. we already tweak the flink-yarn
package internally to support something similar to what @Thomas mentioned:
to support registering a Jar that has already uploaded to some DFS
(needless to
Hi Leo,
Thanks for sharing the JIRA ticket and the idea of supporting multiple
Kafka topic in KafkaTableSource.
I've also commented on the JIRA ticket so sorry for joining the discussion
late.
My question was similar to @Jingsong's:
1. can you share some concrete examples on how this could benefi
Congrats Zhu Zhu :-)
--
Rong
On Sat, Dec 14, 2019 at 4:47 AM tison wrote:
> Congratulations!:)
>
> Best,
> tison.
>
>
> OpenInx 于2019年12月14日周六 下午7:34写道:
>
> > Congrats Zhu Zhu!
> >
> > On Sat, Dec 14, 2019 at 2:38 PM Jeff Zhang wrote:
> >
> > > Congrats, Zhu Zhu!
> > >
> > > Paul Lam 于2019年1
+1
--
Rong
On Wed, Jan 29, 2020 at 8:51 AM Ismaël Mejía wrote:
> +1 (non-binding)
>
> No more maintenance work for us Patrick! Just kidding :), it was mostly
> done by Patrick, all kudos to him.
> Just one question, we will be able to still be featured as an official
> docker image in this case
Agree it is definitely not intuitive trying to figure out what to do based
on this message.
I think the message should be changed to "please consider increasing
maximum permitted memory size, increase task manager parallelism, or using
a non-memory-based state backend".
Could you please open a JIR
Agree with Bowen on this note: you should probably use some more efficient
way of handling the data in sliding window, since data will be "assigned"
to each sliding window through a window assigner and thus costs extra
memory usage.
BTW: since we are on this topic, I was wondering if there's any w
Hi,
We have been looking into more intelligent UDF supports such as creating a
better type inference module to infer automatically composite data
types[1].
One most comment pain point we have are some use cases where users would
like to re-use a rather generic UDF, for example:
public List eval(
Congratulations :-)
On Tue, May 8, 2018 at 1:24 PM, Matthias J. Sax wrote:
> -BEGIN PGP SIGNED MESSAGE-
> Hash: SHA512
>
> Congrats!
>
> On 5/8/18 12:28 PM, Shuyi Chen wrote:
> > Congratulations!
> >
> > On Tue, May 8, 2018 at 12:18 PM, Dawid Wysakowicz <
> > wysakowicz.da...@gmail.com>
er.
>> Not sure if we leverage all that information to the full extend.
>> The ScalarFunction interface also provides methods to override some of
>> the type extraction behavior.
>>
>> @Timo, what do you think?
>>
>> Best,
>> Fabian
>>
+1. This could be very useful for "dynamic" UDF.
Just to clarify, if I understand correctly, we are tying to use an ENUM
indicator to
(1) Replace the current Boolean isExecutable flag.
(2) Provide additional information used by ExecutionEnvironment to decide
when/where to use the DistributedCached
added some comments to your documents. I think we should work on these
> limitations step by step. A first step could be to support Map
> by considering only the raw types. Another step would be to allow
> eval(Object) as a wild card for operands.
>
> Regards,
> Timo
>
>
>
ed from a function's RuntimeContext.
>>>>> In our case, we don't need to access the file but would like to make
>>>>> sure
>>>>> that it is loaded into the class loader.
>>>>> So, we could also just add a method like registerUse
+1
One question regarding "This however has to be enabled by the contributor,
separately for each PR."
can it be by default enable when creating PR?
On Wed, May 16, 2018 at 2:08 PM, Ted Yu wrote:
> +1
> Original message From: Shuyi Chen
> Date: 5/16/18 1:12 PM (GMT-08:00) To
+1
On Fri, May 25, 2018 at 4:14 AM, Qi Yu wrote:
> +1
>
> > 在 2018年5月25日,下午7:12,Till Rohrmann 写道:
> >
> > +1
> >
> > On Wed, May 23, 2018 at 2:33 PM, Stefan Richter <
> s.rich...@data-artisans.com
> >> wrote:
> >
> >> +1
> >>
> >>> Am 23.05.2018 um 14:31 schrieb Stephan Ewen :
> >>>
> >>> +1
>
+1. you can also run `mvn clean verify` locally before a PR, or `mvn verify
-o` against the module you modified (this will speed up the build)
On Tue, May 29, 2018 at 5:34 AM, Chesnay Schepler
wrote:
> There are some tests that are unstable. Committers will evaluate whether
> the failure is rela
+1 on the refactoring.
I spent some time a while back trying to get a better understanding on the
several rules mentioned here.
Correct me if I were wrong by I was under the impression that the reason
why the rules are split was because AccMode and UpdateMode are the ones
that we care about and th
Hi Mano,
For the always positive prediction result. I think the standard svmguide
data [1] is labeling data as 0.0 and 1.0 instead of -1.0 and +1.0. Maybe
correcting that should work for your case.
For the change of eval pairs, I think SVM in FlinkML will always return
a +1.0 or -1.0 when you use
d 16 instead of 1 and 0.
>
> If SVM always returns +1.0 or -1.0, that would then indeed explain where
> the 1.0 is coming from. But, it never gives me -1.0, so there is still
> something wrong as it classifies everything under the same label.
>
> Thanks.
>
> — Mano
>
> On
Huge +1!!!
On Mon, Jul 2, 2018 at 6:07 AM Piotr Nowojski
wrote:
> Hi,
>
> Together with Fabian, Timo and Stephan we were working on a proposal to
> add a support for time versioned joins in Flink SQL/Table API. The idea
> here is to support use cases, when user would like to join a stream of dat
+1. Having table statistics is one of the main blockers for more advanced
optimization rules. I would love to contribute to this effort!
However I think @Alberts case is more on the data set side. Was there any
plan to integrate with data set table statistics first then extend to data
stream domai
+1. Being able to analyze the state is a huge operational advantage.
Thanks Gyula for the POC and I would be very interested in contributing to
the work.
--
Rong
On Tue, Aug 21, 2018 at 4:26 AM Till Rohrmann wrote:
> big +1 for this feature. A tool to get your state out of and into Flink
> will
Congratulations Gary!!
On Fri, Sep 7, 2018 at 7:38 PM bupt_ljy wrote:
> Congratulations Gary!
>
>
> Jiayi
>
>
> Original Message
> Sender:vino yangyanghua1...@gmail.com
> Recipient:dev...@flink.apache.org
> Date:Saturday, Sep 8, 2018 10:11
> Subject:Re: [ANNOUNCE] New committer Gary Yao
>
>
> Co
Thanks for putting the review contribution doc together, Stephan! This will
definitely help the community to make the review process better.
>From my experience this will benefit on both contributors and reviewers
side! Thus +1 for putting into practice as well.
--
Rong
On Mon, Sep 17, 2018 at 1
Hi Dev,
I was wondering if there's any previous discussion regarding how to handle
burst network I/O when deploying Flink applications with window operators.
We've recently see some significant network I/O degradation when trying to
use sliding window to perform rolling aggregations. The pattern
more context :)
>
> Piotrek.
>
> > On 26 Sep 2018, at 19:21, Rong Rong wrote:
> >
> > Hi Dev,
> >
> > I was wondering if there's any previous discussion regarding how to
> handle
> > burst network I/O when deploying Flink applications with window
r size > 0, ti would first buffer events on the state and only
> when reaching max buffer size, causing the back pressure
>
> For the case with WindowOperator, if windows are evicted and removed from
> the state, using buffer size > 0, wouldn’t cause increased state usage, it
>
indows offsets, this can cause quite a lot of semantic
> problems and side effects for the downstream operators.
>
> Piotrek
>
> > On 28 Sep 2018, at 15:18, Rong Rong wrote:
> >
> > Hi Piotrek,
> >
> > Thanks for getting back to me so quickly. Let me explain.
>
Thanks for the contribution Boris!! I've been playing around with the basic
model for a while back and loved it.
+1 and really looking forward to having the feature merging back to Flink
ML.
--
Rong
On Mon, Oct 1, 2018 at 7:55 AM Fabian Hueske wrote:
> Hi everybody,
>
> The question of how to s
Hi Timo,
Thanks for putting together the proposal!
I really love the idea to combining solution for historic and recent data
and left some suggestions on that part.
Regarding the table type, e.g. for kafka streams, I agree with @hequn's
idea that it should be pretty much inferable from the SQL co
easy to do without
> the need for API changes.
>
> Piotrek
>
> On 1 Oct 2018, at 17:48, Rong Rong wrote:
>
> Hi Piotrek,
>
> Thanks for the quick response. To follow up with the questions:
> Re 1). Yes it is causing network I/O issues on Kafka itself.
>
> Re
Hi Xuefu,
Thanks for putting together the overview. I would like to add some more on
top of Timo's comments.
1,2. I agree with Timo that a proper catalog support should also address
the metadata compatibility issues. I was actually wondering if you are
referring to something like utilizing table s
+1. Thanks for putting the proposal together Shuyi.
DDL has been brought up in a couple of times previously [1,2]. Utilizing
DDL will definitely be a great extension to the current Flink SQL to
systematically support some of the previously brought up features such as
[3]. And it will also be benef
Hi Jincheng,
Thank you for the proposal! I think being able to define a process /
co-process function in table API definitely opens up a whole new level of
applications using a unified API.
In addition, as Tzu-Li and Hequn have mentioned, the benefit of
optimization layer of Table API will alread
Hi all,
Various discussion in the mailing list & JIRA tickets [2] had been brought
up in the past regarding the windowing operation performance. As we
experiment internally with some of our extreme use cases, we found out that
using a slice-based implementation can optimize Flink's windowing mecha
Thanks for the summary effort @shuyi. Sorry for jumping in the discussion
so late.
As of the scope of MVP, I think we might want to consider adding "table
update mode" problem to it. I agree with @timo that might not be easily
changed in the future if the flags has to be part of the schema/column
Hi All,
We have been experimenting integration of Kerberos with Flink in our Corp
environment and found out some limitations on the current Flink-Kerberos
security mechanism running with Apache YARN.
Based on the Hadoop Kerberos security guide [1]. Apparently there are only
a subset of the sugges
n invoke Flink client to deploy the job. Thanks a lot.
>
> Shuyi
>
> [1]
>
> https://docs.google.com/document/d/10V7LiNlUJKeKZ58mkR7oVv1t6BrC6TZi3FGf2Dm6-i8/edit
>
> On Mon, Dec 17, 2018 at 5:49 PM Rong Rong wrote:
>
> > Hi All,
> >
> > We have been exper
On Wed, Dec 5, 2018 at 6:17 PM Rong Rong wrote:
> Hi all,
>
> Various discussion in the mailing list & JIRA tickets [2] had been brought
> up in the past regarding the windowing operation performance. As we
> experiment internally with some of our extreme use cases, we found
+1. Thanks for the proposal @Jark.
I think utilizing review-bot will definitely be a good plus.
I remember @Robert mentioned that there was an auto checklist
functionality, maybe we can utilize that to flag/tag a specific PR is ready
for documentation parity review?
I would also like to follow up
Hi all,
Thanks @Jark for creating the translation terminology document! I think the
idea of keeping some of the terminologies untranslated and keeping such
document in place is absolutely good.
I actually share the same concern with @Shaoxuan regarding the discrepancy
getting larger. The dilemma i
Thanks Stephan for the great proposal.
This would not only be beneficial for new users but also for contributors
to keep track on all upcoming features.
I think that better window operator support can also be separately group
into its own category, as they affects both future DataStream API and b
-list-archive.1008284.n3.nabble.com/DISCUSS-Flink-security-improvements-td21068.html
>
> On Tue, Dec 18, 2018 at 8:06 PM Rong Rong wrote:
>
> > Hi Shuyi,
> >
> > Yes. I think the impersonation is a very much valid question! This can
> > actually be considered as
t;>> Because it is easier to update the roadmap on wiki compared to on flink web
>>> site. And I guess we may need to update the roadmap very often at the
>>> beginning as there's so many discussions and proposals in community
>>> recently. We can move it into fli
ows whose window size
> can't be divided by step, such as 10 seconds window and slide with 3
> seconds?
>
> Best,
> Kurt
>
>
> On Wed, Jan 30, 2019 at 2:12 AM Fabian Hueske wrote:
>
> > Thank you Rong!
> > The performance of sliding windows is an
Rong
On Thu, Feb 21, 2019 at 8:50 AM Stephan Ewen wrote:
> Hi Rong Rong!
>
> I would add the security / kerberos threads to the roadmap. They seem to
> be advanced enough in the discussions so that there is clarity what will
> come.
>
> For the window operator with slicing, I
operator internally when we
> decide to add new APIs, which you have covered a lot in your proposal.
> Actually, the approaches you proposed looks good to me, take it step by
> step is a more practical way.
>
> Best,
> Kurt
>
>
> On Fri, Feb 22, 2019 at 2:58 AM Rong Rong wro
Thanks for raising the concern @shuyi and the explanation @konstantin.
Upon glancing on the Flink document, it seems like user have full control
on the timeout behavior [1]. But unlike AsyncWaitOperator, it is not
straightforward to access the internal state of the operator to, for
example, put th
Thanks for sharing the initiative of improving Java side Table expression
DSL.
I agree as in the doc stated that Java DSL was always a "3rd class citizen"
and we've run into many hand holding scenarios with our Flink developers
trying to get the Stringify syntax working.
Overall I am a +1 on this,
; Cheers,
> Till
>
> On Wed, Mar 13, 2019 at 5:42 PM Rong Rong wrote:
>
>> Thanks for raising the concern @shuyi and the explanation @konstantin.
>>
>> Upon glancing on the Flink document, it seems like user have full control
>> on the timeout behavior [1]. But u
e generic solution. Thanks!
> Tao Yang
>
>
> ------
> 发件人:Rong Rong
> 发送时间:2018年12月19日(星期三) 03:06
> 收件人:dev
> 主 题:Re: [DISCUSS] Flink Kerberos Improvement
>
> Hi Shuyi,
>
> Yes. I think the impersonation is a very
take a look at the initial design document here [1]. Any
comments or suggestions are highly appreciated!
Thanks,
Rong
--
[1]
https://docs.google.com/document/d/1CvjPJl1Fm1PCpsuuZ4Qc-p_iUzUosBePX_rWNUt8lRw/edit#
On Thu, Feb 28, 2019 at 2:24 PM Rong Rong wrote:
> Hi Kurt,
>
> Thanks for
Thanks @Timo for starting this effort and preparing the document :-)
I took a pass and left some comments. I also very much like the idea of the
DataType and LogicalType separation.
As explained in the doc, we've also been looking into ways to improve the
type system so a huge +1 on our side.
One
Hi @Aljoscha,
Based on the previous commit [1] that adds the random port selection code,
it seems like the important part is to unset whatever 'rest.port' setting
previously done. I don't think the current way of setting the BIND_PORT
actually overrides any existing PORT setting. However, I wasn't
+1 (non-binding)
* Verified checksums and GPG files matches release files
* Verified that the source archives do not contain any binaries
* Built the source with Maven to ensure all source files have Apache headers
* Checked that all POM files point to the same version
* `mvn clean verify` against
Congrats! Thanks Aljoscha for being the release manager and all for making
the release possible.
--
Rong
On Wed, Apr 10, 2019 at 4:23 AM Stefan Richter
wrote:
> Congrats and thanks to Aljoscha for managing the release!
>
> Best,
> Stefan
>
> > On 10. Apr 2019, at 13:01, Biao Liu wrote:
> >
>
Hi All,
Sorry for joining the discussion late. Thanks Piotrek for initiating this
effort.
I recall reporting a very similar bug years ago[1] that was not easily
solvable at the time, so +1 on this feature goes beyond just FileSystem :-)
I think this would definitely be beneficial as a useful way
Thanks Artsem for looking into this problem and Thanks Dawid for bringing
up the discussion on FLIP-30.
We've observe similar scenarios when we also would like to reuse the schema
registry of both Kafka stream as well as the raw ingested kafka messages in
datalake.
FYI another more catalog-oriente
Hi Zhipeng,
Please see my explanation below:
>From the default EventTimeTrigger source code, I found that only onElement
> method (will judge the watermark) and onEventTime method only have a chance
> to trigger TriggerResult.FIRE;
> Therefore, the default EventTimeTrigger is assumed and must be
Hi Shaoxuan/Weihua,
Thanks for the proposal and driving the effort.
I also replied to the original discussion thread, and still a +1 on moving
towards the ski-learn model.
I just left a few comments on the API details and some general questions.
Please kindly take a look.
There's another thread r
scalanlp/breeze
[2] https://spark.apache.org/docs/latest/ml-guide.html
On Tue, Apr 30, 2019 at 2:33 AM Robert Metzger wrote:
> Hey all,
>
> I'm wondering if somebody on the list can take a look at the PR from
> FLIP-23: https://github.com/apache/flink/pull/7446
>
>
> On Mon, Oct 1,
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