Message_Queue

What MQ is, queue and publish-subscribe distribution models, push and pull, the benefits and drawbacks of MQ, implementation ideas, and common MQ systems.

English translation of the original VNote “Message Ordering in Message Queues”, preserving its current structure.

Kafka version naming, a three-broker ZooKeeper-based cluster setup, directory structure, and configuration examples.

What Kafka is, its use cases, installation, usage, architecture, optimization, cloud Kafka, and references.

Kafka command-line usage and Java producer and consumer examples from the original VNote.

Kafka topology, producers, brokers, consumers, replication, failure handling, and partitioning.

Kafka producer send flow, interceptors, serializers, partitioners, idempotence, transactions, and message-loss handling.

Kafka Broker and Controller notes, consistency through HW, and broker-side settings related to message reliability.

Kafka consumers, consumer groups, message-consumption flow, partition assignment and rebalancing, and duplicate/missed consumption.

Kafka log directory structure, sparse indexes, log cleanup, and notes on why Kafka is fast.

Kafka Topic, Partition, Offset, Replication, ISR/OSR, replica assignment, reassignment, and preferred replicas.

Write-throughput and bandwidth optimization notes for Kafka.

Kafka producer and consumer benchmarking and a simple way to estimate partition and machine counts.

Historical notes on Tencent Cloud CKafka deployment, consistency, scalability, cost, availability, monitoring, and parameters.

Environment setup reference for reading Kafka 0.10.0.1 source code on Windows.

RabbitMQ usage, cluster modes, message reliability, and references.

RabbitMQ data flow and work modes using work queues and fanout, direct, and topic exchanges.

Message loss at the producer, MQ, and consumer, and the corresponding transaction, confirm, persistence, and manual-acknowledgement mechanisms.

RabbitMQ normal and mirrored cluster modes and a small cluster setup example.