Details
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Bug
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Status: Resolved
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Major
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Resolution: Not A Bug
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2.5.0, 2.4.1, 2.6.0, 2.7.0
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None
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None
Description
Hi Folks, I came across this issue when trying to aggregate data from two separate data centres into one data centre.
In the configuration below, you can see I am trying to replicate a topic from dc1 (named test_topic_dc1) to dc3 as well as replicate a topic from dc2 (test_topic_dc2) to dc3.
However, when I try to replicate both topics from those datacenters at the same time I notice that connect gets stuck in a rebalance loop (see attachment for logs)
connect.log.tar.gz
excerpt of connect.log
2021-04-13 17:03:06,360] INFO [Worker clientId=connect-3, groupId=mm2-dc2] Successfully synced group in generation Generation{generationId=347, memberId='connect-3-c59342c3-ca62-41cc-964c-41a0f98351c0', protocol='sessioned'} (org.apache.kafka.clients.consumer.internals.AbstractCoordinator:756)[2021-04-13 17:03:06,360] INFO [Worker clientId=connect-4, groupId=mm2-dc2] Rebalance started (org.apache.kafka.connect.runtime.distributed.WorkerCoordinator:225)[2021-04-13 17:03:06,362] INFO [Worker clientId=connect-4, groupId=mm2-dc2] (Re-)joining group (org.apache.kafka.clients.consumer.internals.AbstractCoordinator:540)[2021-04-13 17:03:06,368] INFO [Worker clientId=connect-2, groupId=mm2-dc3] Rebalance started (org.apache.kafka.connect.runtime.distributed.WorkerCoordinator:225)[2021-04-13 17:03:06,369] INFO [Worker clientId=connect-2, groupId=mm2-dc3] (Re-)joining group (org.apache.kafka.clients.consumer.internals.AbstractCoordinator:540)[2021-04-13 17:03:06,370] INFO [Worker clientId=connect-3, groupId=mm2-dc2] Joined group at generation 347 with protocol version 2 and got assignment: Assignment{error=1, leader='connect-3-c59342c3-ca62-41cc-964c-41a0f98351c0', leaderUrl='NOTUSED/dc1', offset=13, connectorIds=[MirrorSourceConnector], taskIds=[], revokedConnectorIds=[], revokedTaskIds=[], delay=0} with rebalance delay: 0 (org.apache.kafka.connect.runtime.distributed.DistributedHerder:1688)
To replicate the issue here is what I used:
clusters = dc1, dc2, dc3 dc1.bootstrap.servers = kafka-dc1:19092 dc2.bootstrap.servers = kafka-dc2:19093 dc3.bootstrap.servers = kafka-dc3:19094 dc1.group.id=mm2-dc1 dc2.group.id=mm2-dc2 dc3.group.id=mm2-dc3 replication.factor=1 checkpoints.topic.replication.factor=1 heartbeats.topic.replication.factor=1 offset-syncs.topic.replication.factor=1 offset.storage.replication.factor=1 status.storage.replication.factor=1 config.storage.replication.factor=1 dc1->dc3.enabled = true dc1->dc3.topics = test_topic_dc1 dc2->dc3.enabled = true dc2->dc3.topics = test_topic_dc2 dc3->dc2 = falsedc3->dc1 = false
This docker-compose-multi.yml file to create local kafka clusters (dc1,dc2,dc3)
(I set docker to use 6 cpus, 8gb mem, swap 2gb)
I then ran an interactive shell to run mirror maker within the same docker-compose network (change network to match yours)
docker run --network kafka-examples_default -it wurstmeister/kafka:latest bash # Upload mm2 properties on server /opt/kafka/bin/connect-mirror-maker.sh mm2.properties
Kafkacat commands to produce to dc1, dc2
kafkacat -b localhost:9092 -t test_topic_dc1 -P Hello World from DC1!
kafkacat -b localhost:9093 -t test_topic_dc2 -P Hello World from DC2
I then tried to remove one of the datacenters to confirm if it was a configuration problem, however mirror maker ran successfully with the below configuration
mm2.properties
clusters = dc2, dc3
dc2.bootstrap.servers = kafka-dc2:19093
dc3.bootstrap.servers = kafka-dc3:19094
dc2.group.id=mm2-dc2
dc3.group.id=mm2-dc3
replication.factor=1
checkpoints.topic.replication.factor=1
heartbeats.topic.replication.factor=1
offset-syncs.topic.replication.factor=1
offset.storage.replication.factor=1
status.storage.replication.factor=1
config.storage.replication.factor=1
dc2->dc3.enabled = true
dc2->dc3.topics = test_topic_dc2
Any help would be appreciated!