Issue of Kafka Balancing at high loadKafka consumer configuration / performance issuesCommitFailedException Commit cannot be completed since the group has already rebalanced and assigned the partitions to another memberKafka client can't receive messagesKafka010JsonTableSource will not auto commit kafka offset when checkpoint is disableKafka console consumer ERROR “Offset commit failed on partition”Spring Boot Kafka: Commit cannot be completed since the group has already rebalancedkafka Python - CommitFailedErrorWhat is negative effects of setting max.poll.interval.ms larger than request.timeout.ms in Kafka consumer configsApache Kafka clash between enable.auto.commit and session.timeout.msGetting Kafka Error while message processing
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Issue of Kafka Balancing at high load
Kafka consumer configuration / performance issuesCommitFailedException Commit cannot be completed since the group has already rebalanced and assigned the partitions to another memberKafka client can't receive messagesKafka010JsonTableSource will not auto commit kafka offset when checkpoint is disableKafka console consumer ERROR “Offset commit failed on partition”Spring Boot Kafka: Commit cannot be completed since the group has already rebalancedkafka Python - CommitFailedErrorWhat is negative effects of setting max.poll.interval.ms larger than request.timeout.ms in Kafka consumer configsApache Kafka clash between enable.auto.commit and session.timeout.msGetting Kafka Error while message processing
Using kafka version 2.11-0.11.0.3 to publish 10,000 messages (total size of all messages are 10MB), there will be 2 consumers (with same group-id) to consume the message as a parallel processing.
While consuming, same message was consumed by both the consumers.
Below errors/warning were throws by kafka
WARN: This member will leave the group because consumer poll timeout
has expired. This means the time between subsequent calls to poll()
was longer than the configured max.poll.interval.ms, which typically
implies that the poll loop is spending too much time processing
messages. You can address this either by increasing
max.poll.interval.ms or by reducing the maximum size of batches
returned in poll() with max.poll.records.
INFO: Attempt to heartbeat failed since group is rebalancing
INFO: Sending LeaveGroup request to coordinator
WARN: Synchronous auto-commit of offsets
ingest-data-1=OffsetAndMetadataoffset=5506, leaderEpoch=null,
metadata='' failed: Commit cannot be completed since the group has
already rebalanced and assigned the partitions to another member. This
means that the time between subsequent calls to poll() was longer than
the configured max.poll.interval.ms, which typically implies that the
poll loop is spending too much time message processing. You can
address this either by increasing max.poll.interval.ms or by reducing
the maximum size of batches returned in poll() with max.poll.records.
Below configurations were provided to kafka
server.properties
max.poll.interval.ms=30000
group.initial.rebalance.delay.ms=0
group.max.session.timeout.ms=120000
group.min.session.timeout.ms=6000
consumer.properties
session.timeout.ms=30000
request.timeout.ms=40000
What should have changed to resolve the multiple consumptions?
apache-kafka
add a comment |
Using kafka version 2.11-0.11.0.3 to publish 10,000 messages (total size of all messages are 10MB), there will be 2 consumers (with same group-id) to consume the message as a parallel processing.
While consuming, same message was consumed by both the consumers.
Below errors/warning were throws by kafka
WARN: This member will leave the group because consumer poll timeout
has expired. This means the time between subsequent calls to poll()
was longer than the configured max.poll.interval.ms, which typically
implies that the poll loop is spending too much time processing
messages. You can address this either by increasing
max.poll.interval.ms or by reducing the maximum size of batches
returned in poll() with max.poll.records.
INFO: Attempt to heartbeat failed since group is rebalancing
INFO: Sending LeaveGroup request to coordinator
WARN: Synchronous auto-commit of offsets
ingest-data-1=OffsetAndMetadataoffset=5506, leaderEpoch=null,
metadata='' failed: Commit cannot be completed since the group has
already rebalanced and assigned the partitions to another member. This
means that the time between subsequent calls to poll() was longer than
the configured max.poll.interval.ms, which typically implies that the
poll loop is spending too much time message processing. You can
address this either by increasing max.poll.interval.ms or by reducing
the maximum size of batches returned in poll() with max.poll.records.
Below configurations were provided to kafka
server.properties
max.poll.interval.ms=30000
group.initial.rebalance.delay.ms=0
group.max.session.timeout.ms=120000
group.min.session.timeout.ms=6000
consumer.properties
session.timeout.ms=30000
request.timeout.ms=40000
What should have changed to resolve the multiple consumptions?
apache-kafka
add a comment |
Using kafka version 2.11-0.11.0.3 to publish 10,000 messages (total size of all messages are 10MB), there will be 2 consumers (with same group-id) to consume the message as a parallel processing.
While consuming, same message was consumed by both the consumers.
Below errors/warning were throws by kafka
WARN: This member will leave the group because consumer poll timeout
has expired. This means the time between subsequent calls to poll()
was longer than the configured max.poll.interval.ms, which typically
implies that the poll loop is spending too much time processing
messages. You can address this either by increasing
max.poll.interval.ms or by reducing the maximum size of batches
returned in poll() with max.poll.records.
INFO: Attempt to heartbeat failed since group is rebalancing
INFO: Sending LeaveGroup request to coordinator
WARN: Synchronous auto-commit of offsets
ingest-data-1=OffsetAndMetadataoffset=5506, leaderEpoch=null,
metadata='' failed: Commit cannot be completed since the group has
already rebalanced and assigned the partitions to another member. This
means that the time between subsequent calls to poll() was longer than
the configured max.poll.interval.ms, which typically implies that the
poll loop is spending too much time message processing. You can
address this either by increasing max.poll.interval.ms or by reducing
the maximum size of batches returned in poll() with max.poll.records.
Below configurations were provided to kafka
server.properties
max.poll.interval.ms=30000
group.initial.rebalance.delay.ms=0
group.max.session.timeout.ms=120000
group.min.session.timeout.ms=6000
consumer.properties
session.timeout.ms=30000
request.timeout.ms=40000
What should have changed to resolve the multiple consumptions?
apache-kafka
Using kafka version 2.11-0.11.0.3 to publish 10,000 messages (total size of all messages are 10MB), there will be 2 consumers (with same group-id) to consume the message as a parallel processing.
While consuming, same message was consumed by both the consumers.
Below errors/warning were throws by kafka
WARN: This member will leave the group because consumer poll timeout
has expired. This means the time between subsequent calls to poll()
was longer than the configured max.poll.interval.ms, which typically
implies that the poll loop is spending too much time processing
messages. You can address this either by increasing
max.poll.interval.ms or by reducing the maximum size of batches
returned in poll() with max.poll.records.
INFO: Attempt to heartbeat failed since group is rebalancing
INFO: Sending LeaveGroup request to coordinator
WARN: Synchronous auto-commit of offsets
ingest-data-1=OffsetAndMetadataoffset=5506, leaderEpoch=null,
metadata='' failed: Commit cannot be completed since the group has
already rebalanced and assigned the partitions to another member. This
means that the time between subsequent calls to poll() was longer than
the configured max.poll.interval.ms, which typically implies that the
poll loop is spending too much time message processing. You can
address this either by increasing max.poll.interval.ms or by reducing
the maximum size of batches returned in poll() with max.poll.records.
Below configurations were provided to kafka
server.properties
max.poll.interval.ms=30000
group.initial.rebalance.delay.ms=0
group.max.session.timeout.ms=120000
group.min.session.timeout.ms=6000
consumer.properties
session.timeout.ms=30000
request.timeout.ms=40000
What should have changed to resolve the multiple consumptions?
apache-kafka
apache-kafka
edited yesterday
Venkata Madhu
asked yesterday
Venkata MadhuVenkata Madhu
53
53
add a comment |
add a comment |
1 Answer
1
active
oldest
votes
Are your consumers in the same group? If yes you will have multiple consumption if a consumer leaves/dies/timeouts without having committed some messages it has processed.
If all your messages are consumed by both consumers you probably have not set the same group id for them.
More info:
So you have set the same group id for all consumers, good. You are in the situation where the cluster/broker thinks that a consumer died and therefore rebalances the load to another one. This other one will start consuming where the last commit was done.
So lets say consumer C_A read offsets up to 100 from partition P_1 then processed them then committed '100' then read offsets up to 200 then processed them but could not commit because the broker considered C_A as dead.
The broker reassigns partition P_1 to consumer C_B which will start from the last commit for the group, which is 100, will read up to 200, process and commit 200.
So your question is how to avoid that the consumer is considered as dead (I assume it is not dead)?
The answer is already in the yellow WARN message in your question: you can tell your consumer to consume less messages (max.poll.records) in one poll to reduce the processing time between two polls to the broker AND/OR you can increase the max.poll.interval.ms telling the broker to wait longer before considering your consumer as dead...
The consumer are consuming under the same group-id (same was updated to the post) for the parallel consumption. Do you see any issue with the properties?
– Venkata Madhu
yesterday
add a comment |
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1 Answer
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1 Answer
1
active
oldest
votes
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oldest
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active
oldest
votes
Are your consumers in the same group? If yes you will have multiple consumption if a consumer leaves/dies/timeouts without having committed some messages it has processed.
If all your messages are consumed by both consumers you probably have not set the same group id for them.
More info:
So you have set the same group id for all consumers, good. You are in the situation where the cluster/broker thinks that a consumer died and therefore rebalances the load to another one. This other one will start consuming where the last commit was done.
So lets say consumer C_A read offsets up to 100 from partition P_1 then processed them then committed '100' then read offsets up to 200 then processed them but could not commit because the broker considered C_A as dead.
The broker reassigns partition P_1 to consumer C_B which will start from the last commit for the group, which is 100, will read up to 200, process and commit 200.
So your question is how to avoid that the consumer is considered as dead (I assume it is not dead)?
The answer is already in the yellow WARN message in your question: you can tell your consumer to consume less messages (max.poll.records) in one poll to reduce the processing time between two polls to the broker AND/OR you can increase the max.poll.interval.ms telling the broker to wait longer before considering your consumer as dead...
The consumer are consuming under the same group-id (same was updated to the post) for the parallel consumption. Do you see any issue with the properties?
– Venkata Madhu
yesterday
add a comment |
Are your consumers in the same group? If yes you will have multiple consumption if a consumer leaves/dies/timeouts without having committed some messages it has processed.
If all your messages are consumed by both consumers you probably have not set the same group id for them.
More info:
So you have set the same group id for all consumers, good. You are in the situation where the cluster/broker thinks that a consumer died and therefore rebalances the load to another one. This other one will start consuming where the last commit was done.
So lets say consumer C_A read offsets up to 100 from partition P_1 then processed them then committed '100' then read offsets up to 200 then processed them but could not commit because the broker considered C_A as dead.
The broker reassigns partition P_1 to consumer C_B which will start from the last commit for the group, which is 100, will read up to 200, process and commit 200.
So your question is how to avoid that the consumer is considered as dead (I assume it is not dead)?
The answer is already in the yellow WARN message in your question: you can tell your consumer to consume less messages (max.poll.records) in one poll to reduce the processing time between two polls to the broker AND/OR you can increase the max.poll.interval.ms telling the broker to wait longer before considering your consumer as dead...
The consumer are consuming under the same group-id (same was updated to the post) for the parallel consumption. Do you see any issue with the properties?
– Venkata Madhu
yesterday
add a comment |
Are your consumers in the same group? If yes you will have multiple consumption if a consumer leaves/dies/timeouts without having committed some messages it has processed.
If all your messages are consumed by both consumers you probably have not set the same group id for them.
More info:
So you have set the same group id for all consumers, good. You are in the situation where the cluster/broker thinks that a consumer died and therefore rebalances the load to another one. This other one will start consuming where the last commit was done.
So lets say consumer C_A read offsets up to 100 from partition P_1 then processed them then committed '100' then read offsets up to 200 then processed them but could not commit because the broker considered C_A as dead.
The broker reassigns partition P_1 to consumer C_B which will start from the last commit for the group, which is 100, will read up to 200, process and commit 200.
So your question is how to avoid that the consumer is considered as dead (I assume it is not dead)?
The answer is already in the yellow WARN message in your question: you can tell your consumer to consume less messages (max.poll.records) in one poll to reduce the processing time between two polls to the broker AND/OR you can increase the max.poll.interval.ms telling the broker to wait longer before considering your consumer as dead...
Are your consumers in the same group? If yes you will have multiple consumption if a consumer leaves/dies/timeouts without having committed some messages it has processed.
If all your messages are consumed by both consumers you probably have not set the same group id for them.
More info:
So you have set the same group id for all consumers, good. You are in the situation where the cluster/broker thinks that a consumer died and therefore rebalances the load to another one. This other one will start consuming where the last commit was done.
So lets say consumer C_A read offsets up to 100 from partition P_1 then processed them then committed '100' then read offsets up to 200 then processed them but could not commit because the broker considered C_A as dead.
The broker reassigns partition P_1 to consumer C_B which will start from the last commit for the group, which is 100, will read up to 200, process and commit 200.
So your question is how to avoid that the consumer is considered as dead (I assume it is not dead)?
The answer is already in the yellow WARN message in your question: you can tell your consumer to consume less messages (max.poll.records) in one poll to reduce the processing time between two polls to the broker AND/OR you can increase the max.poll.interval.ms telling the broker to wait longer before considering your consumer as dead...
edited yesterday
answered yesterday
pgraspgras
10.9k23142
10.9k23142
The consumer are consuming under the same group-id (same was updated to the post) for the parallel consumption. Do you see any issue with the properties?
– Venkata Madhu
yesterday
add a comment |
The consumer are consuming under the same group-id (same was updated to the post) for the parallel consumption. Do you see any issue with the properties?
– Venkata Madhu
yesterday
The consumer are consuming under the same group-id (same was updated to the post) for the parallel consumption. Do you see any issue with the properties?
– Venkata Madhu
yesterday
The consumer are consuming under the same group-id (same was updated to the post) for the parallel consumption. Do you see any issue with the properties?
– Venkata Madhu
yesterday
add a comment |
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