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Network partitions occur when servers are operational but can't communicate, affecting system performance.

Partition pruning helps databases skip unnecessary data scans, speeding up queries.

Kafka's assign() method allows manual control of partition assignments for consumers.

The CAP Theorem explains the trade-offs in distributed systems during network failures.

Kafka uses different strategies to assign partitions to consumers in a group efficiently.

Kafka Partition Reassignment moves replicas between brokers while keeping data safe.

Kafka's subscribe() lets the group manage partitions, while assign() gives control to the application.

Kafka maintains message order within partitions using keys for routing.