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Kafka consumers resume processing from the last committed offset after a crash.

Kafka consumers have three important states: Position, Committed Offset, and Application State.

Kafka rebalance can lead to lost or duplicated work if not handled carefully.

Kafka's `seek()` lets you replay only specific messages, saving time.

Kafka's pause temporarily stops reading messages, while seek changes the reading position.

Kafka consumer reprocessing involves safely replaying events to correct system states.

Kafka consumers can use multiple threads to speed up message processing, but it complicates ordering and offset management.

Older offsets can overwrite newer ones in Kafka if not handled properly.

Kafka's commitSync waits for confirmation, while commitAsync continues immediately.

Kafka allows safe message reprocessing by resetting consumer positions without altering data.

API pagination helps manage large datasets by breaking them into smaller parts.