On Wed, Jun 7, 2023, at 07:07, Christo Lolov wrote:
> Hey Colin,
>
> I tried the following setup:
>
> * Create 3 EC2 machines.
> * EC2 machine named A acts as a KRaft Controller.
> * EC2 machine named B acts as a KRaft Broker. (The only configurations
> different to the default values: log.retentio
Hey Colin,
I tried the following setup:
* Create 3 EC2 machines.
* EC2 machine named A acts as a KRaft Controller.
* EC2 machine named B acts as a KRaft Broker. (The only configurations
different to the default values: log.retention.ms=3,
log.segment.bytes=1048576, log.retention.check.interva
Hey Colin,
Thanks for the review!
I am also skeptical that much space can be reclaimed via compaction as
detailed in the limitations section of the KIP.
In my head there are two ways to get out of the saturated state - configure
more aggressive retention and delete topics. I wasn't aware that KR
Heya Igor,
Thank you for reading through the KIP and providing feedback!
11. Good question. I will check whether a change is needed in the
processing of the metadata records and come back. My hunch says no as long
as the Kafka broker is still alive to process the metadata records. This
being said
Hi Christo,
We're not adding new stuff to ZK at this point (it's deprecated), so it would
be good to drop that from the design.
With regard to the "saturated" state: I'm skeptical that compaction could
really move the needle much in terms of freeing up space -- in most workloads
I've seen, it
Hi Christo,
Thank you for the KIP. Kafka is very sensitive to filesystem errors,
and at the first IO error the whole log directory is permanently
considered offline. It seems your proposal aims to increase the
robustness of Kafka, and that's a positive improvement.
I have some questions:
11. "In
Hello all!
I would like to start a discussion on KIP-928: Making Kafka resilient to
log directories becoming full which can be found at
https://cwiki.apache.org/confluence/display/KAFKA/KIP-928%3A+Making+Kafka+resilient+to+log+directories+becoming+full
.
In summary, I frequently run into problems