Xingcan Cui created FLINK-37308:
---
Summary: HybridSourceReader doesn't support pauseOrResumeSplits
Key: FLINK-37308
URL: https://issues.apache.org/jira/browse/FLINK-37308
Project: Flink
+1 (binding)
Best,
Xingcan
On Mon, Jan 27, 2025 at 8:50 PM Venkatakrishnan Sowrirajan
wrote:
> +1 (non-binding)
>
> Regards
> Venkata krishnan
>
>
> On Mon, Jan 27, 2025 at 2:05 PM Weiqing Yang
> wrote:
>
> > Hi All,
> >
> > I'd like to star
Hi Weiqing,
I don't have any more questions. The doc looks good to me.
Thanks,
Xingcan
On Wed, Jan 22, 2025 at 8:46 PM Venkatakrishnan Sowrirajan
wrote:
> Hi Weiqing,
>
> Thanks, that makes sense! Looks like I missed it.
>
> Regards
> Venkata krishnan
>
>
>
Hi Hang,
Just want to follow up on this. What's the current progress? Are there any
unassigned tickets we can help with?
Best,
Xingcan
On Thu, Dec 12, 2024 at 9:46 PM Hang Ruan wrote:
> Thanks, David & Peter.
>
> I would love to be the RM for jdbc-3.3.0. And the jdbc-3.
arge. Will there be any extra overhead after introducing
this feature?
Thanks,
Xingcan
On Mon, Jan 6, 2025 at 4:11 PM Weiqing Yang
wrote:
> Hi all,
>
> Just a gentle reminder regarding the proposal I shared on early fire
> support for Flink SQL interval joins. I’d greatly appreci
Xingcan Cui created FLINK-36914:
---
Summary: Sources with watermark alignment should wait for
watermark generation
Key: FLINK-36914
URL: https://issues.apache.org/jira/browse/FLINK-36914
Project: Flink
Xingcan Cui created FLINK-36893:
---
Summary: Support periodic full checkpoint
Key: FLINK-36893
URL: https://issues.apache.org/jira/browse/FLINK-36893
Project: Flink
Issue Type: Improvement
Xingcan Cui created FLINK-36004:
---
Summary: Flink SQL returns wrong results for Paimon tables with
complex schemas
Key: FLINK-36004
URL: https://issues.apache.org/jira/browse/FLINK-36004
Project: Flink
Xingcan Cui created FLINK-35935:
---
Summary: CREATE TABLE AS doesn't work with LIMIT
Key: FLINK-35935
URL: https://issues.apache.org/jira/browse/FLINK-35935
Project: Flink
Issue Type
Xingcan Cui created FLINK-35486:
---
Summary: Potential sql expression generation issues on SQL gateway
Key: FLINK-35486
URL: https://issues.apache.org/jira/browse/FLINK-35486
Project: Flink
Xingcan Cui created FLINK-35485:
---
Summary: JobMaster failed with "the job xx has not been finished"
Key: FLINK-35485
URL: https://issues.apache.org/jira/browse/FLINK-35485
Project: Flink
Xingcan Cui created FLINK-34926:
---
Summary: Adaptive auto parallelism doesn't work for a query
Key: FLINK-34926
URL: https://issues.apache.org/jira/browse/FLINK-34926
Project: Flink
Issue
Xingcan Cui created FLINK-34723:
---
Summary: Parquet writer should restrict map keys to be not null
Key: FLINK-34723
URL: https://issues.apache.org/jira/browse/FLINK-34723
Project: Flink
Issue
Xingcan Cui created FLINK-34633:
---
Summary: Support unnesting array constants
Key: FLINK-34633
URL: https://issues.apache.org/jira/browse/FLINK-34633
Project: Flink
Issue Type: New Feature
Xingcan Cui created FLINK-34583:
---
Summary: Bug for dynamic table option hints with multiple CTEs
Key: FLINK-34583
URL: https://issues.apache.org/jira/browse/FLINK-34583
Project: Flink
Issue
Hi,
Thanks for bringing this up, Peter. I'm +1 for reverting the change.
Best,
Xingcan
On Thu, Dec 7, 2023 at 10:40 AM Martijn Visser
wrote:
> Hi all,
>
> Agree with what has been said already. I've marked
> https://issues.apache.org/jira/browse/FLINK-33523 as a block
Xingcan Cui created FLINK-33547:
---
Summary: Primitive SQL array type after upgrading to Flink 1.18.0
Key: FLINK-33547
URL: https://issues.apache.org/jira/browse/FLINK-33547
Project: Flink
Issue
After rechecking it, I realized that some of my changes broke the expected
schema passed to GenericDatumReader#getResolver. The logic in Flink
codebase is okay and we should only read a portion of the Avro record.
Thanks, Xingcan
On Sun, Aug 6, 2023 at 2:31 PM liu ron wrote:
> Hi, Xing
row.setField(i, fieldConverters[i].convert(record.get(i)));
}
return row;
};
```
Not sure if any of you hit this before. If it's confirmed to be a bug, I'll
file a ticket and try to fix it.
Best,
Xingcan
Xingcan Cui created FLINK-32171:
---
Summary: Add PostStart hook to flink k8s operator helm
Key: FLINK-32171
URL: https://issues.apache.org/jira/browse/FLINK-32171
Project: Flink
Issue Type: New
Oh, I just realized that FLIP-195 has already solved this. We'll upgrade
our Flink version to 1.15+. Thanks!
On Mon, Mar 6, 2023 at 10:08 AM Xingcan Cui wrote:
> Hi Jark,
>
> Yes. I believe field names of the table would be enough to describe the
> conversion operator. I'
Hi Jark,
Yes. I believe field names of the table would be enough to describe the
conversion operator. I'll try to improve this.
Best,
Xingcan
On Sun, Mar 5, 2023 at 9:18 PM Jark Wu wrote:
> Hi Xingcan,
>
> I think `physicalDataType.toString()` is indeed verbose in this case.
e the name (works for nested schemas).
What do you think?
Best,
Xingcan
Xingcan Cui created FLINK-31021:
---
Summary: JavaCodeSplitter doesn't split static method properly
Key: FLINK-31021
URL: https://issues.apache.org/jira/browse/FLINK-31021
Project: Flink
Hi Gyula,
Thanks for the explanation!
The distinction between Flink jobs and FlinkDeployments makes sense! I'll
try to make some changes to Argo CD and hopefully can get some review from
you or other Flink-K8s-op contributors then.
Best,
Xingcan
On Wed, Nov 16, 2022 at 10:40 AM Gyula
e health checking logic is coupled with the state fields, I'm
curious if they are stable now.
3. Can we apply the same logic to "FlinkSessionJob"?
Thanks,
Xingcan
declared without any precision
constraints). A user-defined numeric type converter would solve the problem!
Thanks,
Xingcan
On Mon, Aug 30, 2021 at 11:46 PM Jingsong Li wrote:
> Hi Xingcan,
>
> As a workaround, can we convert large decimal to varchar?
>
> If Flink SQL wants t
ER in Oracle[1]), but
in Flink, we must explicitly specify the precision and scale.
Cc Jark, do you think this is a problem for flink-cdc-connectors?
Best,
Xingcan
[1]
https://docs.oracle.com/cd/B28359_01/server.111/b28318/datatype.htm#CNCPT313
On Mon, Aug 30, 2021 at 4:12 AM Timo Walther
values in
it could potentially be very large. As DecimalType is backed by Java
BigDecimal, I wonder if we should extend the precision range.
Best,
Xingcan
Xingcan Cui created FLINK-24007:
---
Summary: Support Avro timestamp conversion with precision greater
than three
Key: FLINK-24007
URL: https://issues.apache.org/jira/browse/FLINK-24007
Project: Flink
+1 (binding)
Thanks,
Xingcan
On Thu, Sep 24, 2020 at 4:52 AM Jark Wu wrote:
> +1 (binding)
>
> Best,
> Jark
>
> On Thu, 24 Sep 2020 at 16:22, Jingsong Li wrote:
>
> > +1 (binding)
> >
> > Best,
> > Jingsong
> >
> > On Thu, Sep 24,
Congratulations, Piotr!
Best, Xingcan
On Wed, Jul 8, 2020, 21:53 Yang Wang wrote:
> Congratulations Piotr!
>
>
> Best,
> Yang
>
> Dan Zou 于2020年7月8日周三 下午10:36写道：
>
> > Congratulations!
> >
> > Best,
> > Dan Zou
> >
> > > 2020年7月8日 下午5:25，godfrey he 写道：
> > >
> > > Congratulations
> >
> >
>
Thanks for driving this, Dawid.
I’m +1 on it.
One minor suggestion: I think it’s better to override the `equals()` and
`hashCode()` methods for `KeyConstraint`.
Thanks,
Xingcan
> On Nov 23, 2019, at 2:40 AM, Jingsong Li wrote:
>
> +1 thanks dawid for driving this.
>
> Best
Congratulations, Becket!
Best,
Xingcan
> On Oct 28, 2019, at 1:23 PM, Xuefu Z wrote:
>
> Congratulations, Becket!
>
> On Mon, Oct 28, 2019 at 10:08 AM Zhu Zhu wrote:
>
>> Congratulations Becket!
>>
>> Thanks,
>> Zhu Zhu
>>
>> Peter H
Xingcan Cui created FLINK-13849:
---
Summary: The back-pressure monitoring tab in Web UI may cause
errors
Key: FLINK-13849
URL: https://issues.apache.org/jira/browse/FLINK-13849
Project: Flink
know, it’s an essential requirement for some sophisticated joining algorithms.
Until now, the Flink non-equi joins can still only be executed single-threaded.
If we'd like to make some improvements on this, we should first take some
measures to support multicast pattern.
Best,
Xingcan
[1]
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,
> > Danny Chan
> > 在 2019年7月18日 +0800 PM6:29，Haibo Sun ，写道：
> >
.
See [1][2] for an example.
Best,
Xingcan
[1]
https://github.com/apache/flink/blob/84eec21108f2c05fa872c9a3735457d73f75dc51/flink-table/flink-table-planner/src/test/scala/org/apache/flink/table/runtime/stream/table/TableSinkITCase.scala#L647
<https://github.com/apache/flink/b
Congrats Rong!
Best,
Xingcan
> On Jul 11, 2019, at 1:08 PM, Shuyi Chen wrote:
>
> Congratulations, Rong!
>
> On Thu, Jul 11, 2019 at 8:26 AM Yu Li <mailto:car...@gmail.com>> wrote:
> Congratulations Rong!
>
> Best Regards,
> Yu
>
>
Hi Aljoscha,
Thanks for your response.
With all this preliminary information collected, I’ll start a formal process.
Thank everybody for your attention.
Best,
Xingcan
> On Jul 8, 2019, at 10:17 AM, Aljoscha Krettek wrote:
>
> I think this would benefit from a FLIP, that neatly su
7;s
no doubt that its concept has drifted.
As the split/select is quite an ancient API, I cc'ed this to more members. It
couldn't be better if you can share your opinions on this.
Thanks,
Xingcan
[1]
https://lists.apache.org/thread.html/f94ea5c97f96c705527dcc809b0e2b69e87a4c5d400cb7
or but a different name) that can be used to replace the existing
split/select.
3) Keep split/select but change the behavior/semantic to be "correct".
Note that this is just a vote for gathering information, so feel free to
participate and share your opinions.
The voting time will end
Congratulations Jincheng and thanks for all you’ve done!
Cheers,
Xingcan
> On Jun 25, 2019, at 1:59 AM, Tzu-Li (Gordon) Tai wrote:
>
> Congratulations Jincheng, great to have you on board :)
>
> Cheers,
> Gordon
>
> On Tue, Jun 25, 2019, 11:31 AM Terry Wang wrot
DataStream API;
+ A more safely migration phase for users;
- Users are forced to update their codes;
- The contract of the API is still correct but is not valuable anymore;
Welcome to give your supplement on the reasons and after collecting all the
ideas, I'll start a voting thread.
B
they really
need to be deprecated, we should at least mark the corresponding documentation
for that : )
What do you think?
Best,
Xingcan
[1]
https://ci.apache.org/projects/flink/flink-docs-master/dev/stream/side_output.html
<https://ci.apache.org/projects/flink/flink-docs-ma
Xingcan Cui created FLINK-12116:
---
Summary: Args autocast will cause exception for plan
transformation in TableAPI
Key: FLINK-12116
URL: https://issues.apache.org/jira/browse/FLINK-12116
Project: Flink
Xingcan Cui created FLINK-11769:
---
Summary: The estimateDataTypesSize method in FlinkRelNode causes
NPE for Multiset
Key: FLINK-11769
URL: https://issues.apache.org/jira/browse/FLINK-11769
Project
ewing process and help translate the few
lines in sync.
Best,
Xingcan
> On Feb 12, 2019, at 7:04 AM, Jark Wu wrote:
>
> Hi @Sijie,
>
> Thank you for the valuable information. I will explore Docusaurus and
> feedback here.
>
> Best,
> Jark
>
> On Tue, 12 F
.,
the docs must be synced when a new version is to be released).
Best,
Xingcan
> On Feb 11, 2019, at 6:23 AM, Jark Wu wrote:
>
> Hi Shaoxuan,
>
> Thank you for your feedback.
>
> If the author is not familiar with Chinese, he/she should create a
> translation JIRA be
Xingcan Cui created FLINK-11227:
---
Summary: The DescriptorProperties contains some bounds checking
errors
Key: FLINK-11227
URL: https://issues.apache.org/jira/browse/FLINK-11227
Project: Flink
mechanisms for datasets with an identical schema but different
contents here). After all, it’s the dataset rather than the dynamic table that
need to be cached, right?
Best,
Xingcan
> On Nov 30, 2018, at 10:57 AM, Becket Qin wrote:
>
> Hi Piotrek and Jark,
>
> Thanks for t
enjoy the more interactive Table API, in case of a
general and flexible enough service mechanism.
Best,
Xingcan
> On Nov 22, 2018, at 10:16 AM, Xiaowei Jiang wrote:
>
> Relying on a callback for the temp table for clean up is not very reliable.
> There is no guarantee that it will
. IMO, compared to data storage, the cache
could be volatile, which means it only works for (possibly?) accelerating and
doesn’t need to absolutely guarantee the existence of DataSets/Tables.
What do you think?
Best,
Xingcan
> On Nov 21, 2018, at 5:44 AM, Ruidong Li wrote:
>
>
this problem in a larger view, i.e., adding a
`PersistentService` rather than a `TablePersistentService` (as described in the
"Flink Services" section).
Thanks,
Xingcan
[1] https://issues.apache.org/jira/browse/FLINK-1730
> On Nov 20, 2018, at 8:56 AM, Becket Qin wrote:
>
>
Xingcan Cui created FLINK-10684:
---
Summary: Improve the CSV reading process
Key: FLINK-10684
URL: https://issues.apache.org/jira/browse/FLINK-10684
Project: Flink
Issue Type: Improvement
Xingcan Cui created FLINK-10463:
---
Summary: Null literal cannot be properly parsed in Java Table API
function call
Key: FLINK-10463
URL: https://issues.apache.org/jira/browse/FLINK-10463
Project: Flink
Xingcan Cui created FLINK-10323:
---
Summary: A single backslash cannot be successfully parsed in Java
Table API
Key: FLINK-10323
URL: https://issues.apache.org/jira/browse/FLINK-10323
Project: Flink
Congratulations, Gary!
Xingcan
> On Sep 7, 2018, at 11:20 PM, Hequn Cheng wrote:
>
> Congratulations Gary!
>
> Hequn
>
> On Fri, Sep 7, 2018 at 11:16 PM Matthias J. Sax wrote:
>
>> Congrats!
>>
>> On 09/07/2018 08:15 AM, Timo Walther wrote
Xingcan Cui created FLINK-10201:
---
Summary: The batchTestUtil was mistakenly used in some stream sql
tests
Key: FLINK-10201
URL: https://issues.apache.org/jira/browse/FLINK-10201
Project: Flink
ling that maybe we should
merge the retract message and upsert message into a unified “update message”.
(Append Stream VS Update Stream).
Best,
Xingcan
> On Aug 20, 2018, at 7:51 PM, Piotr Nowojski wrote:
>
> Hi,
>
> Thanks for bringing up this issue here.
>
> I’m not s
Xingcan Cui created FLINK-10108:
---
Summary: DATE_FORMAT function in sql test throws a
NumberFormatException
Key: FLINK-10108
URL: https://issues.apache.org/jira/browse/FLINK-10108
Project: Flink
Xingcan Cui created FLINK-10049:
---
Summary: Unify the processing logic for NULL arguments in SQL
built-in functions
Key: FLINK-10049
URL: https://issues.apache.org/jira/browse/FLINK-10049
Project: Flink
Xingcan Cui created FLINK-10014:
---
Summary: Fix the decimal literal parameter problem for arithmetic
functions in Table
Key: FLINK-10014
URL: https://issues.apache.org/jira/browse/FLINK-10014
Project
Xingcan Cui created FLINK-10009:
---
Summary: Fix the casting problem for function TIMESTAMPADD in Table
Key: FLINK-10009
URL: https://issues.apache.org/jira/browse/FLINK-10009
Project: Flink
Xingcan Cui created FLINK-10008:
---
Summary: Improve the LOG function in Table to support bases less
than 1
Key: FLINK-10008
URL: https://issues.apache.org/jira/browse/FLINK-10008
Project: Flink
Xingcan Cui created FLINK-9977:
--
Summary: Refine the docs for Table/SQL built-in functions
Key: FLINK-9977
URL: https://issues.apache.org/jira/browse/FLINK-9977
Project: Flink
Issue Type
optimization on large datasets or dynamic streams.
You could first start from the Calcite query optimizer, and then try to make
your own rules.
Best,
Xingcan
> On Jul 14, 2018, at 11:55 AM, vino yang wrote:
>
> Hi Albert,
>
> First I guess the query optimizer you mentioned is ab
in a
long-term. Thus as Timo suggested, keep the Scala codes in "flink-table-core"
would be a compromise solution.
3) If the community makes the final decision, maybe any new features should be
added in Java (regardless of the modules), in order to prevent the Scala codes
from growing.
found here
https://ci.apache.org/projects/flink/flink-docs-release-1.5/dev/table/tableApi.html#joins
<https://ci.apache.org/projects/flink/flink-docs-release-1.5/dev/table/tableApi.html#joins>.
Best,
Xingcan
> On Jul 2, 2018, at 4:49 PM, Amol S - iProgrammer
> wrote:
>
>
Hi Garvit,
you can use the `keyBy()` method[1] to partition a stream like the field
grouping in Storm.
Best,
Xingcan
[1]
https://ci.apache.org/projects/flink/flink-docs-master/dev/stream/operators/#datastream-transformations
> On May 17, 2018, at 4:04 PM, Garvit Sharma wrote:
>
Thanks, everyone!
It’s an honor which inspires me to devote more to our community.
Regards,
Xingcan
> On May 10, 2018, at 2:06 AM, Peter Huang wrote:
>
> Congratulations Nico and Xingcan!
>
> On Wed, May 9, 2018 at 11:04 AM, Thomas Weise wrote:
>
>> Congrats!
>&g
Xingcan Cui created FLINK-8897:
--
Summary: Rowtime materialization causes "mismatched type"
AssertionError
Key: FLINK-8897
URL: https://issues.apache.org/jira/browse/FLINK-8897
Proj
Xingcan Cui created FLINK-8880:
--
Summary: Validate configurations for SQL Client
Key: FLINK-8880
URL: https://issues.apache.org/jira/browse/FLINK-8880
Project: Flink
Issue Type: Sub-task
assigners or the partitioning
mechanisms used.
Best,
Xingcan
> On 28 Feb 2018, at 5:46 AM, Thomas Weise wrote:
>
> Hi Xingcan,
>
> thanks, this is a good way of testing an individual operator. I had written
> my own mock code to intercept source context and collect the results
assigners or the partitioning
mechanisms used.
Best,
Xingcan
> On 28 Feb 2018, at 5:46 AM, Thomas Weise wrote:
>
> Hi Xingcan,
>
> thanks, this is a good way of testing an individual operator. I had written
> my own mock code to intercept source context and collect the results
Hi Vijay,
normally, maybe there’s no need to checkpoint the event times / watermarks
since they are automatically generated based on the records. What’s your
intention?
Best,
Xingcan
> On 27 Feb 2018, at 8:50 PM, vijay kansal wrote:
>
> Hi All
>
> Is there a way to checkp
consider
much about the dependencies.
Best,
Xingcan
> On 27 Feb 2018, at 6:38 PM, Stephan Ewen wrote:
>
> My first intuition would be to go for approach #2 for the following reasons
>
> - I expect that in the long run, the scripts will not be that simple to
> maintain. We
Hi Thomas,
some test cases in JoinHarnessTest
<https://github.com/apache/flink/blob/release-1.4/flink-libraries/flink-table/src/test/scala/org/apache/flink/table/runtime/harness/JoinHarnessTest.scala>
show how to verify the emitted watermarks.
Hope this helps.
Best,
Xingcan
> On 21
Xingcan Cui created FLINK-8630:
--
Summary: To support JSON schema to TypeInformation conversion
Key: FLINK-8630
URL: https://issues.apache.org/jira/browse/FLINK-8630
Project: Flink
Issue Type
ink-docs-release-1.4/dev/table/sql.html#joins>.
Note that due to some reasons, the UDTF left outer join cannot support
arbitrary conditions now.
Hope that helps.
Best,
Xingcan
On 15/01/2018 6:11 PM, XiangWei Huang wrote:
Hi all,
Is it possible to join records read from a kafka stream with o
Xingcan Cui created FLINK-8407:
--
Summary: Setting the parallelism after a partitioning operation
should be forbidden
Key: FLINK-8407
URL: https://issues.apache.org/jira/browse/FLINK-8407
Project: Flink
Xingcan Cui created FLINK-8316:
--
Summary: The CsvTableSink and the CsvInputFormat are not in sync
Key: FLINK-8316
URL: https://issues.apache.org/jira/browse/FLINK-8316
Project: Flink
Issue Type
Xingcan Cui created FLINK-8258:
--
Summary: Enable query configuration for batch queries
Key: FLINK-8258
URL: https://issues.apache.org/jira/browse/FLINK-8258
Project: Flink
Issue Type
Xingcan Cui created FLINK-8257:
--
Summary: Unify the value checks for setParallelism()
Key: FLINK-8257
URL: https://issues.apache.org/jira/browse/FLINK-8257
Project: Flink
Issue Type
ll need to pay
attention to it.
Thanks,
Xingcan
On Fri, Dec 8, 2017 at 7:25 PM, Xingcan Cui wrote:
> Hi all,
>
> Recently I'm trying to add some tests to
> *org.apache.flink.table.api.stream.table.JoinTest*, but encountered a
> strange problem. A test case could successfull
nt test cases since everything got fine when I changed their names
(e.g., *ltime* => *lt* and *rtime* => *rt*) in one test case. Some global
shared variables may be the cause.
I wonder if anyone could give me some more specific clues about the
problem. IMO, even with identical field names, the test cases should
not interrelate with each other.
Thanks,
Xingcan
Xingcan Cui created FLINK-8094:
--
Summary: Support other types for ExistingField rowtime extractor
Key: FLINK-8094
URL: https://issues.apache.org/jira/browse/FLINK-8094
Project: Flink
Issue Type
Congratulations!
On Wed, Nov 1, 2017 at 9:37 PM, Kurt Young wrote:
> Congrats and welcome on board!
>
> Best,
> Kurt
>
> On Wed, Nov 1, 2017 at 8:15 PM, Hai Zhou wrote:
>
>> Congratulations!
>>
>> On 1. Nov 2017, at 10:13, Shaoxuan Wang wrote:
>>
>> Congratulations!
>>
>> On Wed, Nov 1, 2017 a
Xingcan Cui created FLINK-7865:
--
Summary: Remove predicate restrictions on TableFunction left outer
join
Key: FLINK-7865
URL: https://issues.apache.org/jira/browse/FLINK-7865
Project: Flink
Xingcan Cui created FLINK-7854:
--
Summary: Reject lateral table outer joins with predicates in SQL
Key: FLINK-7854
URL: https://issues.apache.org/jira/browse/FLINK-7854
Project: Flink
Issue Type
Xingcan Cui created FLINK-7853:
--
Summary: Reject table function outer joins with predicates in
Table API
Key: FLINK-7853
URL: https://issues.apache.org/jira/browse/FLINK-7853
Project: Flink
it is unnecessary to buffer so much
data.
That raises the question. What if the timestamps of the two streams are
essentially
“irreconcilable"?
Best,
Xingcan
On Mon, Jul 31, 2017 at 10:42 PM, Shaoxuan Wang wrote:
> Xingcan,
> Watermark is the “estimate of completion”. User defines the
Hi Fabian,
I got a similar question with Jark. Theoretically, the row times of two
streams
could be quite difference, e.g., one for today and the other one for
yesterday.
How can we align them?
Best,
Xingcan
On Mon, Jul 31, 2017 at 9:04 PM, Fabian Hueske wrote:
> Hi Jark,
>
>
tent, the randomness property determines that
it should never be used in time-sensitive applications. I always believe in
that all the information used for query evaluation should be acquired from
data itself.
Best,
Xingcan
On Thu, Jul 27, 2017 at 7:24 PM, Fabian Hueske wrote:
> Hi Shaoxu
tween the old and new watermarks. Shall they
be one-to-one
mapping or the new watermarks could skip some timestamps? And (2) who is in
charge of
emitting the blocked watermarks, the operator or the process function?
I'd like to hear from you.
Best,
Xingcan
On Wed, Jul 26, 2017 at 10:40 A
Xingcan Cui created FLINK-7245:
--
Summary: Enhance the operators to support holding back watermarks
Key: FLINK-7245
URL: https://issues.apache.org/jira/browse/FLINK-7245
Project: Flink
Issue
Xingcan Cui created FLINK-6936:
--
Summary: Add multiple targets support for custom partitioner
Key: FLINK-6936
URL: https://issues.apache.org/jira/browse/FLINK-6936
Project: Flink
Issue Type
parallelism. Will it only be executed in a single thread?
Thanks,
Xingcan
On Thu, May 18, 2017 at 11:40 AM, Hongyuhong wrote:
> Hi Xingcan,
> Thanks for the proposal.
> I have glanced at the design document but not detailedly. The semantics of
> Record-to-window Join is already in p
) thoughts about
unifying the batch/stream query processing.
I know there are lots of developers who are interested in this subject.
Please share your ideas and all suggestions are welcome.
Thanks,
Xingcan
processes execute independently and that's why
the first record 1 triggered window accumulation in you example.
Hope this helps,
Xingcan
On Thu, Apr 13, 2017 at 4:43 PM, madhairsilence
wrote:
> I have a datastream
> 1,2,3,4,5,6,7
>
> I applied a sliding countWindow as
&g
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