Redistribute messages from a stucked kafka partiton

0

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

share|improve this question

asked Nov 22 '18 at 4:40

NoobEditorNoobEditor

11.3k94981

• 
  
  
  

  
  

  
  
  
  
  
  

  
  
  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 | 

0

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

share|improve this question

asked Nov 22 '18 at 4:40

NoobEditorNoobEditor

11.3k94981

• 
  
  
  

  
  

  
  
  
  
  
  

  
  
  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 | 

0

0

0

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

share|improve this question

asked Nov 22 '18 at 4:40

NoobEditorNoobEditor

11.3k94981

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

share|improve this question

asked Nov 22 '18 at 4:40

NoobEditorNoobEditor

11.3k94981

share|improve this question

asked Nov 22 '18 at 4:40

NoobEditorNoobEditor

11.3k94981

share|improve this question

share|improve this question

asked Nov 22 '18 at 4:40

NoobEditorNoobEditor

11.3k94981

asked Nov 22 '18 at 4:40

NoobEditorNoobEditor

11.3k94981

asked Nov 22 '18 at 4:40

NoobEditorNoobEditor

11.3k94981

11.3k94981

• 
  
  
  

  
  

  
  
  
  
  
  

  
  
  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.

share|improve this answer

answered Nov 22 '18 at 6:44

BitswazskyBitswazsky

6621818

add a comment | 

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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.

share|improve this answer

answered Nov 22 '18 at 6:44

BitswazskyBitswazsky

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add a comment | 

0

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.

share|improve this answer

answered Nov 22 '18 at 6:44

BitswazskyBitswazsky

6621818

add a comment | 

0

0

0

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.

share|improve this answer

answered Nov 22 '18 at 6:44

BitswazskyBitswazsky

6621818

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.

share|improve this answer

answered Nov 22 '18 at 6:44

BitswazskyBitswazsky

6621818

share|improve this answer

share|improve this answer

answered Nov 22 '18 at 6:44

BitswazskyBitswazsky

6621818

answered Nov 22 '18 at 6:44

BitswazskyBitswazsky

6621818

answered Nov 22 '18 at 6:44

BitswazskyBitswazsky

6621818

6621818

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