Dead letter queue

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In message queueing the dead letter queue is a service implementation to store messages that meet one or more of the following criteria:

  1. Message that is sent to a queue that does not exist.[1][2]
  2. Queue length limit exceeded.
  3. Message length limit exceeded.
  4. Message is rejected by another queue exchange.[3]
  5. Message reaches a threshold read counter number, because it is not consumed. Sometimes this is called a "back out queue".
  6. The message expires due to per-message TTL (time to live)[4]
  7. Message is not processed successfully.

Dead letter queue storing of these messages allows developers to look for common patterns and potential software problems.[5]

Queueing systems that incorporate dead letter queues include Amazon EventBridge,[6] Amazon Simple Queue Service,[5] Apache ActiveMQ, Google Cloud Pub/Sub,[7] HornetQ, Microsoft Message Queuing,[1] Microsoft Azure Event Grid and Azure Service Bus,[8] WebSphere MQ,[9] Solace PubSub+,[10] Rabbit MQ,[3] Apache Kafka[11] and Apache Pulsar.[12][13]

See also[edit]


  1. ^ a b Redkar, Arohi (2004). Pro MSMQ: Microsoft Message Queue Programming. Apress. p. 148. ISBN 1430207329.
  2. ^ "Dead-letter queues". IBM. Retrieved 23 February 2014.
  3. ^ a b RabbitMQ dead letter queue "Dead Letter Exchanges".
  4. ^ "Dead Letter Exchanges — RabbitMQ". Retrieved 2020-12-06.
  5. ^ a b "Using Amazon SQS Dead Letter Queues". Amazon. Retrieved 23 February 2014.
  6. ^ "Amazon EventBridge announces support for Dead Letter Queues". Amazon.
  7. ^ "Forwarding to dead-letter topics | Cloud Pub/Sub". Google Cloud. Retrieved 2020-12-26.
  8. ^ spelluru. "Compare Azure messaging services". Retrieved 2020-01-17.{{cite web}}: CS1 maint: url-status (link)
  9. ^ Böhm-Mäder, Johannes. WebSphere MQ Security: Tales of Scowling Wolves Among Unglamorous Sheep. BoD. p. 68. ISBN 3842381506.
  10. ^ "Solace Dead Message Queues".
  11. ^ "Apache Kafka documentation".
  12. ^ "Apache Pulsar documentation".
  13. ^ "Apache Pulsar PIP-22:Dead Letter Topic".