Thanks, Magesh.
All, I've made a few very minor changes to some JavaDocs and the signatures
of the name-value pair methods in TopicSettings interface. I also described
as a fifth rejected alternative why this KIP does not modify any topic
settings for existing topics. All of these are pretty
Randall,
I originally thought that this proposal was a config only topic settings
and hence made the comment about configs being pass through. I just
realized that the connectors can also override and provide the
TopicSettings. With that in mind, I think the proposal looks great.
Looking forward
Venkatesh created KAFKA-7357:
Summary: Reassigned partitions but latest data is still going to
old broker
Key: KAFKA-7357
URL: https://issues.apache.org/jira/browse/KAFKA-7357
Project: Kafka
Andy LoPresto created KAFKA-7356:
Summary: Add gradle task for dependency listing
Key: KAFKA-7356
URL: https://issues.apache.org/jira/browse/KAFKA-7356
Project: Kafka
Issue Type: New Feature
Hey Joan,
It looks like you've updated the KIP to "Accepted", but I only count one
binding vote (Guozhang). Ted, Attila, Bill, and myself are all non-binding
votes.
For reference, these are all folks who hold binding votes:
https://kafka.apache.org/committers . Obviously, they don't all take
Hey Nikolay, sorry for the silence. I'm taking another look at the KIP
before voting...
1. I think the Window constructor should actually be protected. I don't
know if we need a constructor that takes Instant, but if we do add one, it
should definitely be protected.
2. `long
Hi, because I have made some significant changes on this design, so I
want to reopen the discussion on this KIP:
https://cwiki.apache.org/confluence/x/CgZPBQ
Thanks,
Yishun
On Thu, Aug 16, 2018 at 5:06 PM Yishun Guan wrote:
>
> I see! Thanks!
>
> On Thu, Aug 16, 2018, 4:35 PM Guozhang Wang
Hello Senthil,
In our case we use NULL as message Key to achieve even distribution in
producer.
With that we were able to achieve very even distribution with that.
Our Kafka client version is 0.10.1.0 and Kafka broker version is 1.1
Thanks,
Gaurav
On Wed, Aug 29, 2018 at 9:15 AM, SenthilKumar
Hi Guozhang
By workflow I mean just the overall process of how the KIP is implemented. Any
ideas on the ways to reduce the topic count, materializations, if there is a
better way to resolve out-of-order than a highwater mark table, if the design
philosophy of “keep everything encapsulated
Hi Adam,
What do you mean by "additional comments on the workflow.", do you mean to
let other review your PR https://github.com/apache/kafka/pull/5527 ? Is is
ready for reviews?
Guozhang
On Tue, Aug 28, 2018 at 5:00 AM, Adam Bellemare
wrote:
> Okay, I will implement John's suggestion of
[
https://issues.apache.org/jira/browse/KAFKA-7295?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Dong Lin reopened KAFKA-7295:
-
> Fix RequestHandlerAvgIdlePercent metric calculation
> ---
[
https://issues.apache.org/jira/browse/KAFKA-7269?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Guozhang Wang resolved KAFKA-7269.
--
Resolution: Fixed
Fix Version/s: 2.1.0
> KStream.merge is not documented
>
Hi all,
Since there has been a rejuvenated interest in this KIP, it felt better to
downgrade it back down to [DISCUSSION], as we aren't really voting on it
anymore.
I'll try to address the currently pending questions on the following points, so
please bear with me while we go through them all:
Hello, All.
Calling a vote on KIP-358 [1]
[1]
https://cwiki.apache.org/confluence/display/KAFKA/KIP-358%3A+Migrate+Streams+API+to+Duration+instead+of+long+ms+times
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https://issues.apache.org/jira/browse/KAFKA-7295?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Dong Lin resolved KAFKA-7295.
-
Resolution: Fixed
The issue is mitigated in https://issues.apache.org/jira/browse/KAFKA-7354
> Fix
[
https://issues.apache.org/jira/browse/KAFKA-7354?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Dong Lin resolved KAFKA-7354.
-
Resolution: Fixed
> Fix IdlePercent and NetworkProcessorAvgIdlePercent metric calculation
>
Why can't we override the DefaultPartitioner, and simply override
paritition() method, such that it will redistribute to all partitions in
round robin fashion.
Round-Robin partitioner and StickyAssignor (consumer) should work nicely
for any publish subscribe system.
On Wed, 29 Aug 2018 at
Hi Matt
I posted in the PR about some of the commenting changes. Overall I think
the whole thing looks good, so I would give it a:
+1 non-binding
Adam
On Tue, Aug 28, 2018 at 5:13 PM, Matt Farmer wrote:
> Given that voting and discussion have stalled out it seems like this is a
> thing that
[
https://issues.apache.org/jira/browse/KAFKA-7324?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Rajini Sivaram resolved KAFKA-7324.
---
Resolution: Fixed
> NPE due to lack of SASLExtensions in SASL/OAUTHBEARER
>
Stephane Maarek created KAFKA-7355:
--
Summary: Topic Configuration Changes are not applied until reboot
Key: KAFKA-7355
URL: https://issues.apache.org/jira/browse/KAFKA-7355
Project: Kafka
+1 (non-binding)
Thanks for the KIP.
On Wed, Aug 29, 2018 at 1:41 AM Jason Gustafson wrote:
> +1 Thanks for the updates.
>
> On Tue, Aug 28, 2018 at 1:15 AM, Viktor Somogyi-Vass <
> viktorsomo...@gmail.com> wrote:
>
> > Sure, I've added it. I'll also do the testing today.
> >
> > On Mon, Aug
Thanks Gaurav. Did you notice side effect mentioned in this page :
https://cwiki.apache.org/confluence/display/KAFKA/FAQ#FAQ-Whyisdatanotevenlydistributedamongpartitionswhenapartitioningkeyisnotspecified
?
--Senthil
On Wed, Aug 29, 2018 at 2:02 PM Gaurav Bajaj wrote:
> Hello Senthil,
>
> In
> Thanks for the KIP. Makes sense to me. Should we make a similar change to
> AdminClient?
Makes sense to me. Will revise KIP-367 asap
--
chia-ping
On 2018/08/28 20:13:19, Jason Gustafson wrote:
> Thanks for the KIP. Makes sense to me. Should we make a similar change to
> AdminClient?
>
>
Hello Experts, We want to distribute data across partitions in Kafka
Cluster.
Option 1 : Use Null Partition Key which can distribute data across
paritions.
Option 2 : Choose Key ( Random UUID ? ) which can help to distribute data
70-80%.
I have seen below side effect on Confluence Page about
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