Hello,
I am running Flink version 1.10 on Amazon EMR. We use RocksDB/S3 for state.
I have "Persist Checkpoints Externally" enabled. Periodically I must tear
down the current infrastructure and bring it back up. To do this, I
terminate the EMR, bring up a fresh EMR cluster, and then I resume the
Flink job from the latest checkpoint path in S3 using the "-s" method here:

https://ci.apache.org/projects/flink/flink-docs-release-1.10/ops/state/savepoints.html#resuming-from-savepoints

I last did this operation on April 19. Then, on April 27 I deployed a new
version of the code only, using savepointing. This caused a production
incident because it turned out that on April 19th one of the Kafka
partition offsets was not committed currently somehow during the resuming
from checkpoint. When the new code was deployed on the 27th a backfill of
Kafka messages came in from the 19th to the 27th which caused the issue.

I am attaching screenshots of Datadog metrics for the Kafka consumer
metrics Flink provides. One graph is:
".KafkaConsumer.topic.{topic_name}.partition.{partition_number}.committedOffsets"

And the next is:
"KafkaConsumer.topic.{topic_name}.partition.{partition_number}.currentOffsets"


The light blue line is partition 3 and that is the one that caused the
issue. Does anyone have any insight into what could have happened? And what
I can do to prevent this in the future? Unfortunately since the EMR was
terminated I cannot provide the full logs. I am able to search for keywords
or get sections since we have external Splunk logging but cannot get full
files.

Thanks for any help!!

[image: Committed_Offsets.png]
[image: Current_Offsets.png]

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