where
> I can see how Raw state can be used in Flink?
>
>
> Best Regards,
>
> Christopher Gustafson
> --
> *Från:* Seth Wiesman
> *Skickat:* den 11 mars 2022 17:57:21
> *Till:* Christopher Gustafson
> *Kopia:* user@flink.apache.org
>
I assume you are talking about the checkpointing in the feedback package?
StateFun only relies on Flink checkpointing for fault tolerance. All state
is stored in standard checkpoint / savepoints and can be used to restore
from failure, upgrade a job, rescale, etc. Just like any other snapshot.
St
Thank you for reporting! That is definitely a bug, and I have opened a
ticket to fix which you can track here.
https://issues.apache.org/jira/browse/FLINK-26374
Seth
On Thu, Feb 24, 2022 at 4:18 PM Jonathan Weaver
wrote:
> Using the latest SNAPSHOT BUILD.
>
> If I have a column definition as
>
Hi Alexandre,
You are correct, BatchTableEnvironment does not exist in 1.14 anymore. In
1.15 we will have the state processor API ported to DataStream for exactly
this reason, it is the last piece to begin officially marking DataSet as
deprecated. As you can understand, this has been a multi year
No. The default max parallelism of 128 will be applied. If you try to
restore above that value, the restore will fail and you can simply restore
at a smaller value.
No data loss.
On Mon, Dec 20, 2021 at 2:28 AM 杨浩 wrote:
>
> Thanks for your replay. If we don't set the max parallelism, and we ch
Hi Krzysztof,
There is a difference in semantics here between yourself and Caizhi. SQL
UDFs can be used statefully - see AggregateFunction and
TableAggregateFunction for examples. You even have access to ListView and
MapView which are backed by ListState and MapState accordingly. These
functions c
Sure,
Just implement `RichSinkFunction`. You will initialize your client inside
the open method and then send alerts from invoke.
Seth
On Mon, Dec 13, 2021 at 9:17 PM Robert Cullen wrote:
> Yes, That's the correct use case. Will this work with the DataStream
> API? UDFs are for the Table API
+1
I actually thought we had already dropped this FS. If anyone is still
relying on it in production, the file system abstraction in Flink has been
incredibly stable over the years. They should be able to use the 1.14 MapR
FS with later versions of Flink.
Seth
On Wed, Dec 8, 2021 at 10:03 AM Mar
Not sure if you've seen this, but Flinks file systems do support connection
limiting.
https://nightlies.apache.org/flink/flink-docs-master/docs/deployment/filesystems/common/#connection-limiting
Seth
On Wed, Dec 8, 2021 at 12:18 PM Kevin Lam wrote:
> Hey David,
>
> Thanks for the response. The
Yes I did, thanks for sending it back :) Copying my previous reply for the
ML:
Hey Thomas,
>
> You are correct that there is no way to inject dynamic information into
> the TypeSerializer configured from the TypeSerializerSnapshot, but that
> should not be a problem for your use case.
>
> The type
There is no such restriction on connected streams; either input may modify
the keyed state. Regarding performance, the difference between the two
should be negligible and I would go with the option with the cleanest
semantics. If both streams are the same type *and* you do not care which
input an e
In general I would strongly encourage you to find a way to `key` your
stream, it will make everything much simpler.
On Thu, Nov 4, 2021 at 6:05 PM Seth Wiesman wrote:
> Why not?
>
> All those classes have a Symbol attribute, why can't you use that to key
> the stream?
>
>
Why not?
All those classes have a Symbol attribute, why can't you use that to key
the stream?
On Thu, Nov 4, 2021 at 5:51 PM Isidoros Ioannou wrote:
> Hi Seth,
>
> thank you for your answer.
> In this case you are right and it would solve my problem. but actually my
> case is a bit more complex
HI Isidoros,
If you want the pattern to be scoped to symbols, I suggest you use a
`keyBy` in your stream.
Constructing the pattern will now look like this:
KeyedStream keydInput = inputStream.keyBy(model ->
model.getSymbol);
PatternStream marketOpenPatternStream =
CEP.pattern(keydInput, patter
Hi Marc,
I think you will find this is less efficient than just using keyed state.
Remember state backends are local, reading and writing is extremely cheap.
HashMapStateBackend is just an in-memory data structure and
EmbeddedRocksDBStateBackend only works against local disk. Additionally,
the emb
I just want to add that the StateFun documentation does cover using custom
Flink connectors[1].
[1]
https://nightlies.apache.org/flink/flink-statefun-docs-release-3.1/docs/modules/io/flink-connectors/#flink-connectors
On Tue, Sep 28, 2021 at 2:52 AM Christian Krudewig (Corporate Development) <
c
.
Seth
On Mon, Sep 20, 2021 at 1:26 AM Kai Fu wrote:
> Hi Seth,
>
> This is really helpful and inspiring, thank you for the information.
>
> On Sun, Sep 19, 2021 at 11:06 PM Seth Wiesman wrote:
>
>> Hi,
>>
>> I agree it would be great to see these functions
Hi,
I agree it would be great to see these functions built-in, but you do not
need to write a UDF for each type. You can overload a UDFs type inference
and have the same capabilities as built-in functions, which means
supporting generics.
https://github.com/apache/flink/blob/master/flink-examples
d or progress state (no counter increment or decrement) ?
>
> I hope this example was clear.
>
> Thank you for your time!
> Pedro Silva
>
>
> Em sex., 10 de set. de 2021 às 20:18, Seth Wiesman
> escreveu:
>
>> Hi Pedro,
>>
>> The DataStream CEP librar
I just want to chime in that if you really do need to drop a partition,
Flink already supports a solution.
If you manually stop the job with a savepoint and restart it with a new UID
on the source operator, along with passing the --allowNonRestoredState flag
to the client, the source will disregar
Hi Pedro,
The DataStream CEP library is not available in Python but you can use
`MATCH_RECOGNIZE` in the table API which is implemented on-top of the CEP
library from Python.
https://nightlies.apache.org/flink/flink-docs-release-1.13/docs/dev/table/sql/queries/match_recognize/
Seth
On Fri, Sep
Hi David,
I was also able to reproduce the behavior, but was able to get
significant performance improvements by reducing the number of slots on
each TM to 1.
My suspicion, as Piotr alluded to, has to do with the different runtime
execution of DataSet over DataStream. In particular, Flink's DataS
Hi Xianwen,
Looks like the State Processor API needs to be updated for the new state
backend factory stack. For now, just use RocksDBStateBackend and it will
work as intended.
I've opened a ticket: https://issues.apache.org/jira/browse/FLINK-23728
Seth
On Wed, Aug 11, 2021 at 2:08 AM xianwen j
It will just work as long as you enable partition discovery.
https://ci.apache.org/projects/flink/flink-docs-release-1.13/docs/connectors/datastream/kafka/#partition-discovery
On Tue, Jun 22, 2021 at 1:32 PM Thomas Wang wrote:
> Hi,
>
> I'm wondering if anyone has changed the number of partitio
Hi Min,
The only requirement is that your state descriptors be configured
identically as those used in your datastream API. So if you registered
custom TypeInformation / serializer in your streaming job you will need
those here as well. I would also look at the ExecutionConfig on your
DataStream a
Hi Le,
I believe the issue is the bounded source[1]. Stateful Functions only
supports unbounded inputs.
Additionally, you can remove all the `synchronized` blocks from your code;
statefun handles all synchronization for you.
Seth
[1]
https://gist.github.com/flint-stone/cbc60f2d41507fdf33507ba99
Strong +1
Having two planners is confusing to users and the diverging semantics make
it difficult to provide useful learning material. It is time to rip the
bandage off.
Seth
On Fri, Feb 26, 2021 at 12:54 AM Kurt Young wrote:
> change.>
>
> Hi Timo,
>
> First of all I want to thank you for in
actionManager instances when they receive a message
> of type Transaction for the first time.
>
> Seth Wiesman escreveu no dia terça, 23/02/2021 à(s)
> 16:02:
>
>> Hey Miguel,
>>
>> What you are describing is exactly what is implemented in this repo. The
>> Tr
Hey Miguel,
What you are describing is exactly what is implemented in this repo. The
TransactionManager function acts as an orchestrator to work with the other
functions. The repo is structured as an exercise but the full solution
exists on the branch `advanced-solution`.
https://github.com/verve
You need to use TUMBLE_ROWTIME to extract a time attribute from a window,
TUMBLE_END is just a timestamp.
https://ci.apache.org/projects/flink/flink-docs-master/dev/table/sql/queries.html#selecting-group-window-start-and-end-timestamps
Seth
On Fri, Jan 29, 2021 at 9:14 AM Patrick Angeles
wrote:
Yes, the FunctionHint annotation has an accumulator field. There is an
example in its JavaDoc.
Seth
On Tue, Jan 26, 2021 at 6:39 AM Yuval Itzchakov wrote:
> Hi, I have an aggregate function of the form:
>
> class Foo extends AggregateFunction[Array[Json], util.List[Json]]
>
> I want to treat th
Yes,
Processing time timers that should have fired will fire immediately in
order.
Event time timers are never *late*, they will just fire when the watermark
advances.
Seth
On Tue, Jan 19, 2021 at 3:58 PM Marco Villalobos
wrote:
> If there are timers that have been checkpointed (we use rocksd
As a note, I wrote that concepts section before remote functions were
implemented. I've made a note to myself to go through and update it.
Seth
On Sat, Oct 17, 2020 at 9:29 PM Tzu-Li (Gordon) Tai
wrote:
> Hi Elias,
>
> On Sun, Oct 18, 2020 at 6:16 AM Elias Levy
> wrote:
>
>> After reading the
+1 It has been deprecated for some time and the StreamingFileSink has
stabalized with a large number of formats and features.
Plus, the bucketing sink only implements a small number of stable
interfaces[1]. I would expect users to continue to use the bucketing sink
from the 1.11 release with futur
final Keynote for Ververica will be announced next week.
As a reminder, the event is virtual and free to attend[1]. There are also a
limited number of paid training slots available. Looking forward to seeing
everyone virtually soon!
https://www.flink-forward.org/
Seth Wiesman
- Committer Apache Flink
since it's blocking us from upgrading
> > certain dependencies.
> >
> > I would also be in favour of dropping Scala completely but that's a
> > different story.
> >
> > Aljoscha
> >
> > On 10.09.20 16:51, Seth Wiesman wrote:
> >
Hi Everyone,
Think of this as a pre-flip, but what does everyone think about dropping
Scala 2.11 support from Flink.
The last patch release was in 2017 and in that time the scala community has
released 2.13 and is working towards a 3.0 release. Apache Kafka and Spark
have both dropped 2.11 suppor
Generally +1
The one use case I've seen of union state I've seen in production (outside
of sources and sinks) is as a "poor mans" broadcast state. This was
obviously before that feature was added which is now a few years ago so I
don't know if those pipelines still exist. FWIW, if they do the stat
tbrite.com/e/flink-forward-global-virtual-2020-tickets-113775477516
[3] https://www.flink-forward.org/global-2020/training-program
Seth Wiesman
Flink Forward Global Program Committee Chair
Committer Apache Flink
Just to summarize the conversation so far:
The state processor api reads data from a 3rd party system - such as JDBC
in this example - and generates a savepoint file that is written out to
some DFS. This savepoint can then be used to when starting a flink
streaming application. It is a two-step p
I think this sounds good. +1
On Wed, Aug 5, 2020 at 8:37 PM jincheng sun
wrote:
> Hi David, Thank you for sharing the problems with the current document,
> and I agree with you as I also got the same feedback from Chinese users. I
> am often contacted by users to ask questions such as whether Py
+ link
https://www.flink-forward.org/global-2020/speakers
On Mon, Aug 3, 2020 at 11:25 AM Seth Wiesman wrote:
> Hi everyone!
>
> I'm very excited to announce that the speaker lineup for Flink Forward
> Global has been released. This is a fully online conference on October
&g
s for
training are limited.
Thank you to everyone who submitted a talk along with our amazing Program
Committee who helped put this lineup together.
Best,
Seth Wiesman
- Program Committee Chair - Flink Forward Global
- Committer Apache Flink
Hi Jincheng,
I'm very excited to see the enthusiasm for documentation work but I am
concerned about the communities long term ability to maintain this
contribution. In particular, I'm concerned that this proposal duplicates a
lot of content that will quickly get out of sync. So far the community d
That is doable via the state processor API, though Arvid's idea does sound
simpler :)
You could read the operator with the rules, change the data as necessary
and then rewrite it out as a new savepoint to start the job.
On Thu, Jul 30, 2020 at 5:24 AM Arvid Heise wrote:
> Another idea: since y
+1 Its time to drop DataSet
Flavio, those issues are expected. This FLIP isn't just to drop DataSet but
to also add the necessary enhancements to DataStream such that it works
well on bounded input.
On Thu, Jul 30, 2020 at 8:49 AM Flavio Pompermaier
wrote:
> Just to contribute to the discussion
Hi Prasanna,
There are Flink use cases in the US healthcare space, unfortunately, I do
not have any public references that I will be able to provide.
Some important Flink features that are relevant when working in a field
that requires compliance:
- SSL:
https://ci.apache.org/projects/fli
You can achieve this in Flink 1.10 using the StreamingFileSink.
I’d also like to note that Flink 1.11 (which is currently going through
release testing and should be available imminently) has support for exactly
this functionality in the table API.
https://ci.apache.org/projects/flink/flink-docs-
Hi Steven,
AggregationFunctions (along with Reduce and other “pre aggregation”
functions) are not allowed to be Rich.
In general if you need to go outside the predefined bounds of what the
window operator provides I’d encourage you to take a look at a
KeyedProcessFunction.
Seth
On Wed, Jun 24,
https://dev.to/anavasiliuk/5-reasons-why-you-should-consider-presenting-at-flink-forward-global-virtual-2020-4jk
Seth
On Fri, Jun 19, 2020 at 10:07 AM Israel Ekpo wrote:
> Thanks Seth for sharing this.
>
> I am looking forward to the event.
>
> On Fri, Jun 19, 2020 at 10:54 AM
Hi Everyone!
The Call for Presentations for Flink Forward has been extended until *Sunday,
June 28, 11:59 pm PST*. We know that tech conferences are not a priority
for everyone at this moment, so we wanted to ensure everyone has time to
work on their ideas.
As a reminder, Flink Forward Global C
Hi Francesco,
No, that architecture is not possible. I'm not sure if you've used Flink's
DataStream API but embedded functions under the hood are very much like
lightweight process functions. If you have a single DataStream application
with two process functions you cannot scale their workers inde
Hi Boris,
Example usage of flink sources and sink is available in the
documentation[1].
[1]
https://ci.apache.org/projects/flink/flink-statefun-docs-release-2.0/io-module/flink-connectors.html
On Wed, May 27, 2020 at 1:08 PM Boris Lublinsky <
boris.lublin...@lightbend.com> wrote:
> Thats not ex
Hi Everyone!
After a successful Virtual Flink Forward in April, we have decided to
present our October edition in the same way. In these uncertain times, we
are conscious of everyone's health and safety and want to make sure our
events are accessible for everyone.
Flink Forward Global Conferenc
Gordon is correct. Additionally, if you are using flink 1.10 you may be
running into a known bug that has been resolved in 1.10.1 which will be
released soon.
Seth
https://issues.apache.org/jira/browse/FLINK-16313
On Fri, May 8, 2020 at 5:19 AM Tzu-Li (Gordon) Tai
wrote:
> Hi,
>
> The last ti
Hi Lasse,
In the state processor api, KeyedStateReaderFunction#readKey has a
parameter called `Context` which you can use to read the registered event
time and proc time timers for a key.
Best,
Seth
On Fri, May 1, 2020 at 2:57 AM Lasse Nedergaard <
lassenedergaardfl...@gmail.com> wrote:
> Hi.
Hi All,
There is a bug in the builder that prevents it from compiling in scala due
to differences in type inference between java and scala[1]. It as already
been resolved for 1.10.1 and 1.11. In the meantime, just go ahead and use
casts or construct the object in a java class.
Seth
[1] https://i
Hi Eleanore,
There was a misconfiguration on the website if you try again everything
should work.
Seth
On Mon, Apr 20, 2020 at 1:39 PM Eleanore Jin wrote:
> Hi community,
>
> My colleagues tried to register for the Flink forward conference:
> https://www.bigmarker.com/series/flink-forward-virt
If the type information for T is stored in a member variable called myTypeInfo
you can do something like this.
import org.apache.flink.api.common.typeinfo.Types;
Types.TUPLE(Types.LONG, myTypeInfo);
Seth
> On Apr 11, 2020, at 11:06 AM, Laurent Exsteens
> wrote:
>
>
> Hello,
>
> I have a
Hi David,
+1 to add to the project.
I agree that flink.apache.org and flink playgrounds respectively are the
best places to host this content.
On Thu, Apr 9, 2020 at 2:56 PM Niels Basjes wrote:
> Hi,
>
> Sounds like a very nice thing to have as part of the project ecosystem.
>
> Niels
>
> On T
There is a limitation in RocksDB's JNI bridge that will cause applications
to fail if list state exceeds 2GB. I am not aware of anyone working on this
issue.
Seth.
[1] https://github.com/facebook/rocksdb/issues/2383
On Wed, Apr 8, 2020 at 12:02 PM Aaron Levin wrote:
> Hello friendly Flink comm
Hi Kristoff,
You are correct that, that was a typo :)
At most one instance per slot.
Seth
> On Apr 7, 2020, at 9:41 AM, KristoffSC wrote:
>
> Hi Seth,
> I would like to piggyback on this question :)
>
> You wrote:
> "I would strongly encourage you to create one instance of your object per
Hi Stephen,
You will need to implement a custom operator and user the `transform`
method. It's not just that you need to specify the namespace type but you
will also need to look into the beam internals to see how it stores data in
flink state, how it translates between beam serializers and flink
Hi Salva,
One TaskManager == One JVM. There is nothing Flink specific here, you can
just create a singleton how you would in any other JVM application. But be
careful, if your singleton does any sort of locking/coordination it will
quickly become the bottleneck in your application. I would strongl
@01D3BB7E.BAFAAC20]
Seth Wiesman| Software Engineer
4 World Trade Center, 46th Floor, New York, NY
10007
swies...@mediamath.com<mailto:fl...@mediamath.com>
From: Seth Wiesman
Date: Wednesday, March 14, 2018 at 10:14 AM
To: Fabian Hueske , Stefan Richter
Cc: "user@flink.apache.org&qu
/runtime/io/network/partition/consumer/LocalInputChannel.java#L151
[cid:image001.png@01D3BB7D.472CF0B0]
Seth Wiesman| Software Engineer
4 World Trade Center, 46th Floor, New York, NY
10007
swies...@mediamath.com<mailto:fl...@mediamath.com>
From: Fabian Hueske
Date: Tuesday, March 13, 201
.
[cid:image001.png@01D3BAAE.915F15C0]
Seth Wiesman| Software Engineer
4 World Trade Center, 46th Floor, New York, NY
10007
swies...@mediamath.com<mailto:fl...@mediamath.com>
From: Seth Wiesman
Date: Friday, March 9, 2018 at 11:53 AM
To: "user@flink.apache.or
with
3) Right now we are logging everything under
org.apache.flink.runtime.io.network, is there anywhere else to look
Thank you,
[cid:image001.png@01D3B79D.36E45B00]
Seth Wiesman| Software Engineer
4 World Trade Center, 46th Floor, New York, NY
10007
swies...@mediamath.com<mailto
I had to solve a similar problem, we use a process function with rocksdb and
map state for the sub keys. So while we hit rocks on every element, only the
specified sub keys are ever read from disk.
Seth Wiesman| Software Engineer4 World Trade Center, 46th Floor, New York, NY
10007swies
org.apache.flink.util.InstantiationUtil.deserializeObject(InstantiationUtil.java:290)
at
org.apache.flink.util.InstantiationUtil.readObjectFromConfig(InstantiationUtil.java:248)
at
org.apache.flink.streaming.api.graph.StreamConfig.getStreamOperator(StreamConfig.java:220)
... 4 more
Seth
1940180]<http://www.mediamath.com/>
Seth Wiesman | Software Engineer, Data
4 World Trade Center, 46th Floor, New York, NY 10007
Quick follow up question. Is there some way to notify a TimestampAssigner that
is consuming from an idle source?
[cid:image001.png@01D3740B.CADE87C0]<http://www.mediamath.com/>
Seth Wiesman | Software Engineer, Data
4 World Trade Center, 46th Floor, New York, NY 10007
From: Seth W
@01D3740A.880106E0]<http://www.mediamath.com/>
Seth Wiesman | Software Engineer, Data
4 World Trade Center, 46th Floor, New York, NY 10007
From: Timo Walther
Date: Wednesday, December 13, 2017 at 11:46 AM
To: "user@flink.apache.org"
Subject: Re: Watermark in broadcast
Hi Set
. Is
this expected behavior? Currently I have overridden processWatermark1 to
unconditionally call processWatermark but that does not seem like an ideal
solution.
Thank you,
[cid:image001.png@01D37402.F5C0B480]<http://www.mediamath.com/>
Seth Wiesman | Software Engineer, Data
4 World
Not a problem, thanks for the quick feedback.
https://issues.apache.org/jira/browse/FLINK-7999
Seth Wiesman
From: Fabian Hueske
Date: Monday, November 6, 2017 at 9:14 AM
To: Seth Wiesman
Cc: user
Subject: Re: DataStream to Table Api idioms
Hi Seth,
I think the Table API is not there yet to
but would like to receive partial results say every hour.
3) Do window join time intervals have to be constant or can they depend
on row attributes. I am running campaigns that have start and end dates and so
I would like my join window to be that interval.
Thank you,
Seth Wiesman
A scala class contains a single lazy val it is implemented using a boolean flag
to track if the field has been evaluated. When a class contains, multiple lazy
val’s it is implemented as a bit mask shared amongst the variables. This can
lead to inconsistencies as to whether serialization forces e
+1 for dropping java 7
On 7/13/17, 4:59 AM, "Konstantin Knauf" wrote:
+1 for dropping Java 7
On 13.07.2017 10:11, Niels Basjes wrote:
> +1 For dropping java 1.7
>
> On 13 Jul 2017 04:11, "Jark Wu" wrote:
>
>> +1 for dropping Java 7
>>
>> 2017-07-13 9:
Seems straight forward. The biggest challenge is that that you don’t want
Athena picking up on partially written files or for whatever reason corrupt
files. The issue with S3 is you cannot allow Flink to perform delete, truncate,
or rename operations because it moves faster than S3 can become co
are uniformly distributed in a temporal manner or if someone had
other ideas of how I could mitigate the problem.
Thank you,
Seth Wiesman
pipeline that will in general only hold for my pipeline. This is because there
were still some open questions that I had about how to solve consistency
issues in the general case. I will comment on the Jira issue with more specific.
Seth Wiesman
From: vinay patil
Reply-To: "
,
Seth Wiesman
From: vinay patil
Reply-To: "user@flink.apache.org"
Date: Saturday, February 25, 2017 at 10:50 AM
To: "user@flink.apache.org"
Subject: Re: Checkpointing with RocksDB as statebackend
HI Stephan,
Just to avoid the confusion here, I am using S3 sink for writing
Also while I’ve got you, is it possible to get the job id from the runtime
context?
Seth Wiesman
From: Seth Wiesman
Reply-To: "user@flink.apache.org"
Date: Friday, February 24, 2017 at 2:51 PM
To: "user@flink.apache.org"
Subject: Re: List State in RichWindowFunction lea
ProcessWindowFunction eventually have access to scoped
partitioned state or just timing? There are several things I have coming down
the pipeline that require coordination between window evaluations.
Thank you again for all the help.
Seth Wiesman
From: Aljoscha Krettek
Reply-To: "
seem to fail every 5th-7th checkpoint.
I am curious if anyone here has any ideas of what I might be able to do to
solve this problem.
Thank you,
Seth Wiesman
ContinousFileReaderOperator.
Certainly with a larger cluster splits would be processed more quickly and as
such the watermark would advance at a quicker pace. Why do you think a more
quickly advancing watermark would affect state size in this case?
Seth Wiesman
From: Aljoscha Krettek
Reply-To: "
insights
you may have.
Seth Wiesman
element
arrived after the watermark. Is this currently possible to do in flink?
Thank you,
Seth Wiesman
b.com/apache/flink/blob/6f0faf9bb35e7cac3a38ed792cdabd6400fc4c79/flink-runtime/src/main/java/org/apache/flink/runtime/state/heap/HeapValueState.java#L88>
on updates.
Seth Wiesman
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