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On this page
  • Benefits
  • Asynchronous vs low performance
  • Decouple vs low extensibility
  • High vs low fault tolerance
  • References
  • TODO: Message ordering in MQ
  • TODO: After Kafka: Pulsar
  • TODO: MQ based Distributed transaction

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  1. Message queue

Overview

PreviousCache_MemcachedNextKafka

Last updated 1 year ago

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Benefits

Asynchronous vs low performance

  • Defer processing of time-consuming tasks without blocking our clients. Anything that is slow or unpredictable is a candidate for asynchronous processing. Example include

    • Interact with remote servers

    • Low-value processing in the critical path

    • Resource intensive work

    • Independent processing of high- and low- priority jobs

Example: Flash sale scenario

  • For example, in flash sale scenarios. Fast operations (deduct inventory number inside cache) could be performed in real time while slow operations (Whether the user has participated in flash sale before, deduct inventory number inside DB) could be put inside a queue.

Decouple vs low extensibility

  • How hard it is when you want to add a new downstream partner

  • With message queue, the downstream only needs to know the topic to subscribe.

  • With RPC/REST, downstream needs to know the server address and protocol format.

Example: Many downstream partners

High vs low fault tolerance

  • Even if some downstream partners fail, the service don't need to retry, etc.

  • Otherwise, it needs to guarantee the communication with downstream goes smoothly.

References

  • Enterprise integration patterns: https://www.enterpriseintegrationpatterns.com/index.html

TODO: Message ordering in MQ

  • https://zhuanlan.zhihu.com/p/59000202

TODO: After Kafka: Pulsar

  • https://zhuanlan.zhihu.com/p/64901908

TODO: MQ based Distributed transaction

  • Reliable message producing

    • Data needs to be persisted

    • Confirmation needs to be obtained

    • Producer needs to retry

  • Reliable message consumption

    • Ack mechanism

Please see this

Benefits
Asynchronous vs low performance
Example: Flash sale scenario
Decouple vs low extensibility
Example: Many downstream partners
High vs low fault tolerance
References
TODO: Message ordering in MQ
TODO: After Kafka: Pulsar
TODO: MQ based Distributed transaction
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