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On this page
  • Partition to consumer mapping
  • Number of partitions
  • Message backlog solutions
  • Add partition
  • Add topic
  • Optimize consumer performances

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  1. Message queue
  2. Kafka

Message backlog

PreviousAt least onceNextConsumer idempotency

Last updated 1 year ago

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Partition to consumer mapping

  • 1 partition corresponds to only 1 consumer.

  • 1 consumer corresponds to more than 1 partition.

Number of partitions

  • The following QPS numbers are all average QPS rather than peak QPS because message queue is used to smooth the traffic in the beginning.

  • Depends on two factors:

    • The ratio of producing msgs: Suppose QPS 1000 and each partition could support 100 write request, then we need 10 partitions at least.

    • The ratio of consuming msgs: Suppose each consumer consumes 100 request, then we need 20 paritions at least.

    • Take the bigger of the two (10, 20)

Message backlog solutions

Add partition

  • Sometimes devops team does not allow to add partition

Add topic

  • Add a new topic with more consumers.

Optimize consumer performances

Downgrade consumers

  • For example, original consumers need to call several downstream services for response. In downgraded cases, consumers could rely on cache.

Batch messages

Asynchronous processing

  • Consumer thread only pulls the msg from msg queue.

  • And then worker thread will actually perform tasks.

Message loss

Partial failure

Partition to consumer mapping
Number of partitions
Message backlog solutions
Add partition
Add topic
Optimize consumer performances
Downgrade consumers
Batch messages
Asynchronous processing
Message loss
Partial failure