Hi Matthias,

Thank you for your reply!

There should not be a dependency for 3.0.x in my docker image, I only add 3.2.0 
explicitly. When connecting to the running container I also can’t find any 
reference to 3.0.x. I reverted the dependency to 3.0.0-1.17 and it works again. 
Could it be related to the introduction of the DynamicKafkaSource in 3.1.0?

* Factory class for the DynamicKafkaSource components. <a
* href=https://cwiki.apache.org/confluence/x/CBn1D>FLIP-246: 
DynamicKafkaSource</a>
*
* <p>This source's key difference from {@link KafkaSource} is that it enables 
users to read
* dynamically, which does not require job restart, from streams (topics that 
belong to one or more
* clusters). If using {@link KafkaSource}, users need to restart the job by 
deleting the job and
* reconfiguring the topics and clusters.

We are still using KafkaSource in our pipelines.

Best,

Dominik Bünzli
Data, Analytics & AI Engineer III

From: Schwalbe Matthias <matthias.schwa...@viseca.ch>
Date: Tuesday, 3 September 2024 at 09:59
To: Bünzli Dominik, INI-DNA-INF <dominik.buen...@swisscom.com>, 
user@flink.apache.org <user@flink.apache.org>
Subject: RE: Kafka connector exception restarting Flink 1.19 pipeline
Be aware: This is an external email.

Hi Dominik,

No clue why this happens, but it looks like that
when restarting from the savepoint it uses the flink-connector-kafka version 
from your docker image (3.0.x ?) instead of the newer one you configured.
How did you integrate the newer version?



Thias


From: dominik.buen...@swisscom.com <dominik.buen...@swisscom.com>
Sent: Monday, September 2, 2024 1:35 PM
To: user@flink.apache.org
Subject: [External] Kafka connector exception restarting Flink 1.19 pipeline

⚠EXTERNAL MESSAGE – CAUTION: Think Before You Click ⚠

Dear Flink community
We recently migrated our pipelines from Flink 1.17 to 1.19.0 (and subsequently 
to 1.19.1). We are sourcing events from Kafka and write enriched events back to 
Kafka. I’m currently using the flink-connector-kafka (3.2.0-1.19). When 
initially deploying (via k8s operator), the pipeline starts as expected and is 
generating output events that are written to Kafka.

As soon as I deploy a new pipeline and perform a restart via savepoint sometime 
afterwards, the following error is thrown. Has anyone seen this before? Any 
idea how to solve the issue?

11:20:41.934 [jobmanager-io-thread-1] INFO  
o.a.f.r.o.c.RecreateOnResetOperatorCoordinator - Resetting coordinator to 
checkpoint.
11:20:41.935 [Thread-15] INFO  o.a.f.r.s.c.SourceCoordinator - Closing 
SourceCoordinator for source Source: Kafka Source XYZ.
11:20:41.936 [Thread-15] INFO  o.a.f.r.s.c.SourceCoordinator - Source 
coordinator for source Source: Kafka Source XYZ closed.
11:20:41.939 [jobmanager-io-thread-1] INFO  o.a.f.r.s.c.SourceCoordinator - 
Restoring SplitEnumerator of source Source: Kafka Source XYZ from checkpoint.
11:20:41.942 [jobmanager-io-thread-1] ERROR 
o.a.f.r.o.c.RecreateOnResetOperatorCoordinator - Failed to reset the 
coordinator to checkpoint and start.
java.io.IOException: The bytes are serialized with version 2, while this 
deserializer only supports version up to 1
                at 
org.apache.flink.connector.kafka.source.enumerator.KafkaSourceEnumStateSerializer.deserialize(KafkaSourceEnumStateSerializer.java:83)
                at 
org.apache.flink.connector.kafka.source.enumerator.KafkaSourceEnumStateSerializer.deserialize(KafkaSourceEnumStateSerializer.java:43)
                at 
org.apache.flink.runtime.source.coordinator.SourceCoordinator.deserializeCheckpoint(SourceCoordinator.java:556)
                at 
org.apache.flink.runtime.source.coordinator.SourceCoordinator.resetToCheckpoint(SourceCoordinator.java:451)


Kind regards

Dominik Bünzli
Data, Analytics & AI Engineer III
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