Redistribute messages from a stucked kafka partiton
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I have a topic descibed in kafka as below ( via /usr/hdp/2.6.5.0-292/kafka/bin/kafka-topics.sh --describe <rest of command>
)
Topic:arrival_events PartitionCount:12 ReplicationFactor:2 Configs:
Topic: arrival_events Partition: 0 Leader: 1001 Replicas: 1001,1002 Isr: 1001,1002
Topic: arrival_events Partition: 1 Leader: 1002 Replicas: 1002,1003 Isr: 1002,1003
Topic: arrival_events Partition: 2 Leader: 1003 Replicas: 1003,1001 Isr: 1003,1001
Topic: arrival_events Partition: 3 Leader: 1001 Replicas: 1001,1003 Isr: 1003,1001
Topic: arrival_events Partition: 4 Leader: 1002 Replicas: 1002,1001 Isr: 1002,1001
Topic: arrival_events Partition: 5 Leader: 1003 Replicas: 1003,1002 Isr: 1003,1002
Topic: arrival_events Partition: 6 Leader: 1001 Replicas: 1001,1002 Isr: 1001,1002
Topic: arrival_events Partition: 7 Leader: 1002 Replicas: 1002,1003 Isr: 1002,1003
Topic: arrival_events Partition: 8 Leader: 1003 Replicas: 1003,1001 Isr: 1003,1001
Topic: arrival_events Partition: 9 Leader: 1001 Replicas: 1001,1003 Isr: 1003,1001
Topic: arrival_events Partition: 10 Leader: 1002 Replicas: 1002,1001 Isr: 1002,1001
Topic: arrival_events Partition: 11 Leader: 1003 Replicas: 1003,1002 Isr: 1003,1002
Broker recives roughly 5-8mil
messages (travel patterns) a days.
Everything is fine except that couple of partitions ( not more than 2-3 ) are stucked with high lag.
With continuous flow of data, over days, this some times goes beyond 1-2mill as well. While other partitions sit comfortably at 0 lag
I have tried bringing down consumer count to less than 12 assuming that round robin
will force reading up for other partitions too but it doesn't help.
Any suggestion on what option do I have to reduce this lag? Consumers are through a data streaming processor built using java.
apache-kafka partition
add a comment |
I have a topic descibed in kafka as below ( via /usr/hdp/2.6.5.0-292/kafka/bin/kafka-topics.sh --describe <rest of command>
)
Topic:arrival_events PartitionCount:12 ReplicationFactor:2 Configs:
Topic: arrival_events Partition: 0 Leader: 1001 Replicas: 1001,1002 Isr: 1001,1002
Topic: arrival_events Partition: 1 Leader: 1002 Replicas: 1002,1003 Isr: 1002,1003
Topic: arrival_events Partition: 2 Leader: 1003 Replicas: 1003,1001 Isr: 1003,1001
Topic: arrival_events Partition: 3 Leader: 1001 Replicas: 1001,1003 Isr: 1003,1001
Topic: arrival_events Partition: 4 Leader: 1002 Replicas: 1002,1001 Isr: 1002,1001
Topic: arrival_events Partition: 5 Leader: 1003 Replicas: 1003,1002 Isr: 1003,1002
Topic: arrival_events Partition: 6 Leader: 1001 Replicas: 1001,1002 Isr: 1001,1002
Topic: arrival_events Partition: 7 Leader: 1002 Replicas: 1002,1003 Isr: 1002,1003
Topic: arrival_events Partition: 8 Leader: 1003 Replicas: 1003,1001 Isr: 1003,1001
Topic: arrival_events Partition: 9 Leader: 1001 Replicas: 1001,1003 Isr: 1003,1001
Topic: arrival_events Partition: 10 Leader: 1002 Replicas: 1002,1001 Isr: 1002,1001
Topic: arrival_events Partition: 11 Leader: 1003 Replicas: 1003,1002 Isr: 1003,1002
Broker recives roughly 5-8mil
messages (travel patterns) a days.
Everything is fine except that couple of partitions ( not more than 2-3 ) are stucked with high lag.
With continuous flow of data, over days, this some times goes beyond 1-2mill as well. While other partitions sit comfortably at 0 lag
I have tried bringing down consumer count to less than 12 assuming that round robin
will force reading up for other partitions too but it doesn't help.
Any suggestion on what option do I have to reduce this lag? Consumers are through a data streaming processor built using java.
apache-kafka partition
Do the messages in your topic have non-null message key?
– Bitswazsky
Nov 22 '18 at 6:42
1
Also, please add more info on the outcome of these two commands if possible. 1)bin/kafka-consumer-groups.sh --bootstrap-server <broker>:9092 --describe --group <consumer-group-name>
. 2)bin/kafka-consumer-groups.sh --bootstrap-server <broker>:9092 --describe --group <consumer-group-name> --members --verbose
– Bitswazsky
Nov 22 '18 at 6:56
How many consumers do you have in the consumer group?
– cricket_007
Nov 22 '18 at 20:17
add a comment |
I have a topic descibed in kafka as below ( via /usr/hdp/2.6.5.0-292/kafka/bin/kafka-topics.sh --describe <rest of command>
)
Topic:arrival_events PartitionCount:12 ReplicationFactor:2 Configs:
Topic: arrival_events Partition: 0 Leader: 1001 Replicas: 1001,1002 Isr: 1001,1002
Topic: arrival_events Partition: 1 Leader: 1002 Replicas: 1002,1003 Isr: 1002,1003
Topic: arrival_events Partition: 2 Leader: 1003 Replicas: 1003,1001 Isr: 1003,1001
Topic: arrival_events Partition: 3 Leader: 1001 Replicas: 1001,1003 Isr: 1003,1001
Topic: arrival_events Partition: 4 Leader: 1002 Replicas: 1002,1001 Isr: 1002,1001
Topic: arrival_events Partition: 5 Leader: 1003 Replicas: 1003,1002 Isr: 1003,1002
Topic: arrival_events Partition: 6 Leader: 1001 Replicas: 1001,1002 Isr: 1001,1002
Topic: arrival_events Partition: 7 Leader: 1002 Replicas: 1002,1003 Isr: 1002,1003
Topic: arrival_events Partition: 8 Leader: 1003 Replicas: 1003,1001 Isr: 1003,1001
Topic: arrival_events Partition: 9 Leader: 1001 Replicas: 1001,1003 Isr: 1003,1001
Topic: arrival_events Partition: 10 Leader: 1002 Replicas: 1002,1001 Isr: 1002,1001
Topic: arrival_events Partition: 11 Leader: 1003 Replicas: 1003,1002 Isr: 1003,1002
Broker recives roughly 5-8mil
messages (travel patterns) a days.
Everything is fine except that couple of partitions ( not more than 2-3 ) are stucked with high lag.
With continuous flow of data, over days, this some times goes beyond 1-2mill as well. While other partitions sit comfortably at 0 lag
I have tried bringing down consumer count to less than 12 assuming that round robin
will force reading up for other partitions too but it doesn't help.
Any suggestion on what option do I have to reduce this lag? Consumers are through a data streaming processor built using java.
apache-kafka partition
I have a topic descibed in kafka as below ( via /usr/hdp/2.6.5.0-292/kafka/bin/kafka-topics.sh --describe <rest of command>
)
Topic:arrival_events PartitionCount:12 ReplicationFactor:2 Configs:
Topic: arrival_events Partition: 0 Leader: 1001 Replicas: 1001,1002 Isr: 1001,1002
Topic: arrival_events Partition: 1 Leader: 1002 Replicas: 1002,1003 Isr: 1002,1003
Topic: arrival_events Partition: 2 Leader: 1003 Replicas: 1003,1001 Isr: 1003,1001
Topic: arrival_events Partition: 3 Leader: 1001 Replicas: 1001,1003 Isr: 1003,1001
Topic: arrival_events Partition: 4 Leader: 1002 Replicas: 1002,1001 Isr: 1002,1001
Topic: arrival_events Partition: 5 Leader: 1003 Replicas: 1003,1002 Isr: 1003,1002
Topic: arrival_events Partition: 6 Leader: 1001 Replicas: 1001,1002 Isr: 1001,1002
Topic: arrival_events Partition: 7 Leader: 1002 Replicas: 1002,1003 Isr: 1002,1003
Topic: arrival_events Partition: 8 Leader: 1003 Replicas: 1003,1001 Isr: 1003,1001
Topic: arrival_events Partition: 9 Leader: 1001 Replicas: 1001,1003 Isr: 1003,1001
Topic: arrival_events Partition: 10 Leader: 1002 Replicas: 1002,1001 Isr: 1002,1001
Topic: arrival_events Partition: 11 Leader: 1003 Replicas: 1003,1002 Isr: 1003,1002
Broker recives roughly 5-8mil
messages (travel patterns) a days.
Everything is fine except that couple of partitions ( not more than 2-3 ) are stucked with high lag.
With continuous flow of data, over days, this some times goes beyond 1-2mill as well. While other partitions sit comfortably at 0 lag
I have tried bringing down consumer count to less than 12 assuming that round robin
will force reading up for other partitions too but it doesn't help.
Any suggestion on what option do I have to reduce this lag? Consumers are through a data streaming processor built using java.
apache-kafka partition
apache-kafka partition
asked Nov 22 '18 at 4:40
NoobEditorNoobEditor
11.4k95082
11.4k95082
Do the messages in your topic have non-null message key?
– Bitswazsky
Nov 22 '18 at 6:42
1
Also, please add more info on the outcome of these two commands if possible. 1)bin/kafka-consumer-groups.sh --bootstrap-server <broker>:9092 --describe --group <consumer-group-name>
. 2)bin/kafka-consumer-groups.sh --bootstrap-server <broker>:9092 --describe --group <consumer-group-name> --members --verbose
– Bitswazsky
Nov 22 '18 at 6:56
How many consumers do you have in the consumer group?
– cricket_007
Nov 22 '18 at 20:17
add a comment |
Do the messages in your topic have non-null message key?
– Bitswazsky
Nov 22 '18 at 6:42
1
Also, please add more info on the outcome of these two commands if possible. 1)bin/kafka-consumer-groups.sh --bootstrap-server <broker>:9092 --describe --group <consumer-group-name>
. 2)bin/kafka-consumer-groups.sh --bootstrap-server <broker>:9092 --describe --group <consumer-group-name> --members --verbose
– Bitswazsky
Nov 22 '18 at 6:56
How many consumers do you have in the consumer group?
– cricket_007
Nov 22 '18 at 20:17
Do the messages in your topic have non-null message key?
– Bitswazsky
Nov 22 '18 at 6:42
Do the messages in your topic have non-null message key?
– Bitswazsky
Nov 22 '18 at 6:42
1
1
Also, please add more info on the outcome of these two commands if possible. 1)
bin/kafka-consumer-groups.sh --bootstrap-server <broker>:9092 --describe --group <consumer-group-name>
. 2) bin/kafka-consumer-groups.sh --bootstrap-server <broker>:9092 --describe --group <consumer-group-name> --members --verbose
– Bitswazsky
Nov 22 '18 at 6:56
Also, please add more info on the outcome of these two commands if possible. 1)
bin/kafka-consumer-groups.sh --bootstrap-server <broker>:9092 --describe --group <consumer-group-name>
. 2) bin/kafka-consumer-groups.sh --bootstrap-server <broker>:9092 --describe --group <consumer-group-name> --members --verbose
– Bitswazsky
Nov 22 '18 at 6:56
How many consumers do you have in the consumer group?
– cricket_007
Nov 22 '18 at 20:17
How many consumers do you have in the consumer group?
– cricket_007
Nov 22 '18 at 20:17
add a comment |
1 Answer
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If the messages have non-null message keys, then probably the partitions which have high lag are getting more data than the rest. In that case, it might be beneficial to force a round robin partitioning scheme, irrespective of the keys, if it doesn't have any implication on the business logic.
add a comment |
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1 Answer
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If the messages have non-null message keys, then probably the partitions which have high lag are getting more data than the rest. In that case, it might be beneficial to force a round robin partitioning scheme, irrespective of the keys, if it doesn't have any implication on the business logic.
add a comment |
If the messages have non-null message keys, then probably the partitions which have high lag are getting more data than the rest. In that case, it might be beneficial to force a round robin partitioning scheme, irrespective of the keys, if it doesn't have any implication on the business logic.
add a comment |
If the messages have non-null message keys, then probably the partitions which have high lag are getting more data than the rest. In that case, it might be beneficial to force a round robin partitioning scheme, irrespective of the keys, if it doesn't have any implication on the business logic.
If the messages have non-null message keys, then probably the partitions which have high lag are getting more data than the rest. In that case, it might be beneficial to force a round robin partitioning scheme, irrespective of the keys, if it doesn't have any implication on the business logic.
answered Nov 22 '18 at 6:44
BitswazskyBitswazsky
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Do the messages in your topic have non-null message key?
– Bitswazsky
Nov 22 '18 at 6:42
1
Also, please add more info on the outcome of these two commands if possible. 1)
bin/kafka-consumer-groups.sh --bootstrap-server <broker>:9092 --describe --group <consumer-group-name>
. 2)bin/kafka-consumer-groups.sh --bootstrap-server <broker>:9092 --describe --group <consumer-group-name> --members --verbose
– Bitswazsky
Nov 22 '18 at 6:56
How many consumers do you have in the consumer group?
– cricket_007
Nov 22 '18 at 20:17