approach we have taken is to implement event sourcing using a database
and Kafka.
For instance: see
https://blog.eventuate.io/2016/10/06/eventuate-local-event-sourcing-and-cqrs-with-spring-boot-apache-kafka-and-mysql/
Chris
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data from kafka via druid/tranquility
and they have clients of version 0.8.x implemented but my broker is running
0.10.x.
Also if such a table can be posted on kafka documentation page or github
page that would be great.
Thanks
Sachin
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://stackoverflow.com/a/44345374/7897191
Please let me know if you have a better design for this?
Cheers,
Michal
On 27/05/17 21:16, Jay Kreps wrote:
This is great!
-Jay
On Sat, May 27, 2017 at 12:47 PM, Michal Borowiecki
<michal.borowie...@openbet.com <mailto:michal.borowie...@openb
gned.
I am not sure whether this can be solved using Kafka.Any help is
appreciated
Regards,
Abhimanyu
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something?
-Matthias
On 6/20/17 1:02 AM, Michal Borowiecki wrote:
I didn't know you could write to state stores from outside a
processor/transformer. Interesting to hear that it is working although
I'd be careful as KIP-67 warns it can introduce undefined behaviour:
https://cwiki.apache.org
IP accordingly.
--Vahid
From: Michal Borowiecki <michal.borowie...@openbet.com>
To:users@kafka.apache.org, Vahid S Hashemian <
vahidhashem...@us.ibm.com>, d...@kafka.apache.org
Date:06/13/2017 01:35 AM
Subject:Re: [DISCUSS] KIP-163: Lower the Minimum Re
l else fails you could
always consider producing to a topic rather than trying to forward directly,
then you don't have to touch the relatively delicate Processor semantics.
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T:
s
support it with only minor changes to the API (do not fail
automatically dangling transactions on Producer restart)? Flushing
is already there so that _should_ handle the pre-commit. Again,
maybe I'm missing something and for sure I am not familiar with
Kafka's internals.
. Perhaps this is in
fact what you are proposing?
-Jay
On Fri, Jun 16, 2017 at 2:38 AM, Michal Borowiecki
<michal.borowie...@openbet.com <mailto:michal.borowie...@openbet.com>>
wrote:
I wonder if it's a frequent enough use case that Kafka Streams
should consider provid
data for such
transactions.
2. making sure that committing already committed transactions doesn't brake
anything
Or maybe there is some other way to integrate Kafka into such two phase
commit system that I'm missing?
Thanks, Piotrek
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evel ?
Thanks,
Paolo
Paolo Patierno
Senior Software Engineer (IoT) @ Red Hat
Microsoft MVP on Windows Embedded & IoT
Microsoft Azure Advisor
Twitter : @ppatierno<http://twitter.com/ppatierno>
Linkedin : paolopatierno<http://it.linkedin.com/in/paolopatierno>
Blog : Dev
ACL+Permission+of+OffsetFetch
The KIP is to address KAFKA-4585.
Feedback and suggestions are welcome!
Thanks.
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:
Can someone please share some thoughts whether we can do synchronous call
(request response) using kafka similar to JMS
Thanks
Sanjay
913-221-9164
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clusters, I'd recommend to always have 5 ZK nodes, but for Kafka, you
can scale well past that, or keep it small while you are starting out.
Thanks,
Tom Crayford
Heroku Kafka
On Sat, Jun 3, 2017 at 8:20 AM, Michal Borowiecki
<michal.borowie...@openbet.com <mailto:michal.borowie...@openb
eper on the same server as Kafka vs having a separate zookeeper
cluster ?
Thanks,
Meghana
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verage". Hope
we can collect more example like this!
https://cwiki.apache.org/confluence/display/KAFKA/Kafka+Stream+Usage+Patterns
-Matthias
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for each topic - and
we're worried about how far this will scale.
Thank you
Mike G
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Hi Sini,
This is beyond the score of KIP-138 but
https://issues.apache.org/jira/browse/KAFKA-3514 exists to track such
improvements
Thanks,
Michal
On 17 May 2017 5:10 p.m., Peter Sinoros Szabo
wrote:
Hi,
I see, now its clear why the repeated punctuations
downsides to that?
Cheers,
Michał
On 09/05/17 09:17, Michal Borowiecki wrote:
Hi Matthias,
Yes, the ever growing stores were my concern too. That was the
intention behind my TODO note in the first reply just didn't want to
touch on this until I've dug deeper into it.
I understand compaction
there yet.
@Garret: did you try this out?
This seems to be a question that might affect many users, and it might
we worth to document it somewhere as a recommended pattern.
-Matthias
On 5/8/17 1:43 AM, Michal Borowiecki wrote:
Apologies,
In the code snippet of course only oneMinuteWindowed
: did you try this out?
This seems to be a question that might affect many users, and it might
we worth to document it somewhere as a recommended pattern.
-Matthias
On 5/8/17 1:43 AM, Michal Borowiecki wrote:
Apologies,
In the code snippet of course only oneMinuteWindowed KTable will have
many users, and it might
we worth to document it somewhere as a recommended pattern.
-Matthias
On 5/8/17 1:43 AM, Michal Borowiecki wrote:
Apologies,
In the code snippet of course only oneMinuteWindowed KTable will have a
Windowed key (KTable<Windowed, Value>), all others would be just
Apologies,
In the code snippet of course only oneMinuteWindowed KTable will have a
Windowed key (KTable<Windowed, Value>), all others would be just
KTable<Tuple2<Key, Long>, Value>.
Michał
On 07/05/17 16:09, Michal Borowiecki wrote:
Hi Garrett,
I've encountered a
e
docs which are awesome, I cannot determine if the KTable.groupby() would
work over a window, and would reduce or aggregate thus do what I need?
Any ideas?
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ay is introduced only by producer internal send loop time
and linger?
If a timeout would be localized only to a single batch send request for some
reason, does it affect the next batch (assuming this batch can go through
successfully)?
Many thanks,
Petr
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will not return any result.
-Matthias
On 4/30/17 7:23 AM, Michal Borowiecki wrote:
I have something working on the same principle (except not using
connect), that is, I put ids to filter on into a ktable and then (inner)
join a kstream with that ktable.
I don't believe the value can be null though
2017-04-30 15:41 GMT+02:00 Michal Borowiecki
<michal.borowie...@openbet.com <mailto:michal.borowie...@openbet.com>>:
Hi Jan,
Correct. As I said before it's not common or recommended practice
to run an even number, and I wouldn't recommend it myself. I hope
it di
figure out the cause of the connect failures?
2. What's the controller anyway?
3. Are there some command-line diagnostic tools for inspecting the health of
the system?
Thanks for any help,
Chuck
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rocess the messages.
Should I just cache all ids on all nodes (which may be a large amount),
or
is there a way to only cache the id on the same kafka streams node which
will receive data for that id?
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On 30/04/2017, Michal Borowiecki <michal.borowie...@openbet.com> wrote:
Svante, I don't share your opinion.
Having an even number of zookeepers is not a problem in itself, it
simply means you don't get any better resilience than if you had one
fewer instance.
Yes, it's not common or recomme
e for
[mytopicOLD,18]. Select 2 from ISR 2 to be the leader.
(kafka.controller.OfflinePartitionLeaderSelector)*
Typical broker config attached.. Please do share some valid inputs...
Abhi
!wq
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