Thanks Sophie... that answers my question, however still worried about some
other aspects:
1. If redis is to be restored from changelog topic: what would happen if i
have 3 stream applications and 1 instance went down ... will other 2
instances halt until entire existing state from redis is wiped
Ah ok, I think I was envisioning a different use case from your initial
description of the problem.
If everything that you want to group together is already correctly
partitioned, then you won't need
a repartitioning step. If I understand correctly, you have something like
this in mind:
builder
Hey Mickael, I just merged the fix back to 2.7 so you should be good to go
Thanks for the PR Bruno!
On Fri, Mar 19, 2021 at 9:34 AM Mickael Maison
wrote:
> Thanks Bruno,
>
> That indeed sounds like a blocker.
>
> I'm closing this vote, I'll build a new RC once a fix is merged into 2.7
>
> On Fr
Thanks Bruno. I agree this qualifies as a blocker since it was a regression
in 2.6 and
may result in data loss. I'll roll a new RC with the fix
On Fri, Mar 19, 2021 at 7:03 AM 'Bruno Cadonna' via kafka-clients <
kafka-clie...@googlegroups.com> wrote:
> Hi Sophie,
>
> Correction to my last e-mail:
Hey Pushkar, yes, the data will still be backed by a changelog topic unless
the
user explicitly disables logging for that state store. The fault tolerance
mechanism
of Kafka Streams is based on changelogging, therefore there are no
correctness
guarantees if you decide to disable it.
That said, I'm
Hello Sophie,
may be i am missing something here, however can you let me know how a redis
based state store will be wiped off the inconsistent state in case stream
application dies in the middle of processing e.g. stream application
consumed from source topic, processed source event and saved stat
Any input in this is appreciated...
On Tue, Mar 9, 2021, 7:19 AM rs vas wrote:
> I am looking for defining these Availability, Latency, ErrorRate, Load for
> Kafka clusters using Prometheus metrics generated by KAfka and jmx
> exporter.
>
> Does anyone have any initial dashboards to start with f
Matthias,
With reference to your response above, i came across the JIRA ticket
https://issues.apache.org/jira/browse/KAFKA-12475
For rocksDB or in-memory state stores, these are always backed by changelog
topic, so they can be rebuilt from scratch from the changelog topic.
However, how a remote s
Thanks Bruno,
That indeed sounds like a blocker.
I'm closing this vote, I'll build a new RC once a fix is merged into 2.7
On Fri, Mar 19, 2021 at 2:04 PM Bruno Cadonna
wrote:
>
> Hi Mickael,
>
> Correction to my last e-mail: The bug does not break eos, but it breaks
> at-least-once.
>
> Bruno
>
Hello and thank you for the reply!
My problem is not with consumption of messages, because as you said,
MirrorMaker2 knows how to deal with the consumer offsets. Rather my problem is
with source connectors and the topic connect-offsets.
Because Kafka connect manages where it stopped reading f
Hi Mickael,
Correction to my last e-mail: The bug does not break eos, but it breaks
at-least-once.
Bruno
On 19.03.21 14:54, Bruno Cadonna wrote:
Hi Mickael,
Please have a look at the following bug report:
https://issues.apache.org/jira/browse/KAFKA-12508
I set its priority to blocker sin
Hi Sophie,
Correction to my last e-mail: The bug does not break eos, but it breaks
at-least-once.
Bruno
On 19.03.21 14:54, Bruno Cadonna wrote:
Hi Sophie,
Please have a look at the following bug report:
https://issues.apache.org/jira/browse/KAFKA-12508
I set its priority to blocker since
Hi Sophie,
Please have a look at the following bug report:
https://issues.apache.org/jira/browse/KAFKA-12508
I set its priority to blocker since the bug might break at-least-once
and exactly-once processing guarantees.
Feel free to set it back to major, if you think that it is not a blocker.
Hi Mickael,
Please have a look at the following bug report:
https://issues.apache.org/jira/browse/KAFKA-12508
I set its priority to blocker since the bug might break at-least-once
and exactly-once processing guarantees.
Feel free to set it back to major, if you think that it is not a blocker
Hi Sophie,
+1 binding
- checked signatures
- built from source
- verified quickstart with Scala 2.13 binaries
- checked javadocs
Thanks for running the release
On Fri, Mar 19, 2021 at 10:13 AM Manikumar wrote:
>
> Hi,
>
> +1 (binding)
>
> - verified the signatures
> - ran the tests on the sour
Hello Kafka users, developers and client-developers,
This is the first candidate for release of Apache Kafka 2.7.1.
Apache Kafka 2.7.1 is a bugfix release and 40 issues have been fixed
since 2.7.0.
Release notes for the 2.7.1 release:
https://home.apache.org/~mimaison/kafka-2.7.1-rc0/RELEASE_NOT
Hi,
+1 (binding)
- verified the signatures
- ran the tests on the source archive with Scala 2.13
- verified the quickstart with Scala 2.12 binary
- verified the artifacts, javadoc
Thanks for running the release!
Thanks,
Manikumar
On Tue, Mar 16, 2021 at 9:41 AM Sophie Blee-Goldman
wrote:
> T
just my 2 cents
the best answer is always from the real-world practices :)
RocksDB https://rocksdb.org/ is the implementation of "state store" in Kafka
Stream and it is an "embedded" kv store (which is diff than the distributed kv
store). The "state store" in Kafka Stream is also backed up by "
Hi Daniel, MirrorMaker2 creates its own "offsets" topic to track the process of
consumption.
just my 2 cents - If you already have two Kafka connect clusters in two
different sites, it sounds practical to:
(1) use "cluster" mode, instead of "dedicated" mode of MirrorMaker2
(2) add one "MirrorMak
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