Hello all,

it seems that this KIP did not sparkle much interest, not sure if people just don't care or whether there are any objections against the proposal. What should be the next step, I don't think it has been discussed enough to proceed with voting.

Cheers,

Radim

On 27. 04. 23 8:39, Radim Vansa wrote:
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Thank you for those questions, as I've mentioned, my knowledge of Kafka
is quite limited so these are the things that need careful thinking!
Comments inline.

On 26. 04. 23 16:28, Mickael Maison wrote:
Hi Radim,

Thanks for the KIP! CRaC is an interesting project and it could be a
useful feature in Kafka clients.

The KIP is pretty vague in terms of the expected behavior of clients
when checkpointing and restoring. For example:

1. A consumer may have pre-fetched records in memory. When it is
checkpointed, its group will rebalance and another consumer will
consume the same records. When the initial consumer is restored, will
it process its pre-fetched records and basically reprocess record
already handled by other consumers?


How would the broker (?) know what records were really consumed? I think
that there must be some form of Two Generals Problem.

The checkpoint should keep as much of the application untouched as it
could. Here, I would expect that the prefetched records would be
consumed after the restore operation as if nothing happened. I can
imagine this could cause some trouble if the data is dependent on the
'external' world, e.g. other members of the cluster. But I wouldn't
break the general guarantees Kafka provides if we can avoid it. We
certainly have an option to do the checkpoint more gracefully,
deregistering with the group (the checkpoint is effectively blocked by
the notification handler).

If we're talking about using CRaC for boot speedup this is not that
important - when the app is about to be checkpointed it will likely stop
processing data anyway. For other use-cases (e.g. live migration) it
might matter.



2. Producers may have records in-flight or in the producer buffer when
they are checkpointed. How do you propose to handle these cases?


If there's something in flight we can wait for the acks. Alternatively
if the receiver guards against double receive using unique ids/sequence
numbers we could resend that after restore. As for the data in the
buffer, IMO that can wait until restore.



3. Clients may have loaded plugins such as serializers. These plugins
may establish network connections too. How are these expected to
automatically reconnect when the application is restored?


If there's an independent pool of connections, it's up to the plugin
author to support CRaC, I doubt there's anything that the generic code
could do. Also it's likely that the plugins won't need any extension to
the SPI; these would register its handlers independently (if ordering
matters there are ways to prioritize one resource over another).

Cheers!

Radim Vansa



Thanks,
Mickael


On Wed, Apr 26, 2023 at 8:27 AM Radim Vansa <rva...@azul.com.invalid> wrote:
Hi all,

I haven't seen much reactions on this proposal. Is there any general
policy regarding dependencies, or a prior decision that would hint on this?

Thanks!

Radim


On 21. 04. 23 10:10, Radim Vansa wrote:
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and know the content is safe.


Thank you,

now to be tracked as KIP-921:
https://cwiki.apache.org/confluence/display/KAFKA/KIP-921%3A+OpenJDK+CRaC+support


Radim

On 20. 04. 23 15:26, Josep Prat wrote:
Hi Radim,
You should have now permissions to create a KIP.

Best,

On Thu, Apr 20, 2023 at 2:22 PM Radim Vansa <rva...@azul.com.invalid>
wrote:

Hello,

upon filing a PR [1] with some initial support for OpenJDK CRaC
[2][3] I
was directed here to raise a KIP (I don't have the permissions in
wiki/JIRA to create the KIP page yet, though).

In a nutshell, CRaC intends to provide a way to checkpoint (snapshot)
and persist a running Java application and later restore it,
possibly on
a different computer. This can be used to significantly speed up the
boot process (from seconds or minutes to tens of milliseconds), live
replication or migration of the heated up application. This is not
entirely transparent to the application; the application can register
for notification when this is happening, and sometime has to assist
with
that to prevent unexpected state after restore - e.g. close network
connections and files.

CRaC is not integrated yet into the mainline JDK; JEP is being
prepared,
and users are welcome to try out our builds. However even when this
gets
into JDK we can't expect users jump onto the latest release
immediately;
therefore we provide a facade package org.crac [4] that delegates to
the
implementation, if it is present in the running JDK, or provides a
no-op
implementation.

With or without the implementation, the support for CRaC in the
application should be designed to have a minimal impact on performance
(few extra objects, some volatile reads...). On the other hand the
checkpoint operation itself can be non-trivial in this matter.
Therefore
the main consideration should be about the maintenance costs -
keeping a
small JAR in dependencies and some extra code in networking and
persistence.

The support for CRaC does not have to be all-in for all components -
maybe it does not make sense to snapshot a Broker. My PR was for Kafka
Clients because the open network connections need to be handled in a
web
application (in my case I am enabling CRaC in Quarkus Superheros [5]
demo). The PR does not handle all possible client-side uses; as I am
not
familiar with Kafka I follow the whack-a-mole strategy.

It is possible that the C/R could be handled in a different layer, e.g. in Quarkus integration code. However our intent is to push the changes as low in the technology stack as possible, to provide the best fanout
to users without duplicating maintenance efforts. Also having the
support higher up can be fragile and break encapsulation.

Thank you for your consideration, I hope that you'll appreciate our
attempt to innovate the Java ecosystem.

Radim Vansa

PS: I'd appreciate if someone could give me the permissions on wiki to
create a proper KIP! Username: rvansa (both Confluence and JIRA).

[1] https://github.com/apache/kafka/pull/13619

[2] https://wiki.openjdk.org/display/crac

[3] https://github.com/openjdk/crac

[4] https://github.com/CRaC/org.crac

[5] https://quarkus.io/quarkus-workshops/super-heroes/


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