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What is a consequence of slow replication in a Kafka cluster from the consumer's perspective?

Messages become duplicated

There is a faster message consumption rate

It results in longer delays for messages to be available

From the consumer's perspective, slow replication in a Kafka cluster leads to longer delays for messages to be available. This is because replication involves copying data across different brokers to ensure that multiple copies exist for fault tolerance and high availability. When replication is slow, consumers may not be able to read messages in a timely manner since the broker must wait for all replicas to acknowledge that they have the message before declaring it fully written and available for consumption.

The impact of slow replication highlights the importance of timely message availability in a distributed system like Kafka, as consumers depend on having access to up-to-date and fully replicated messages to ensure they can process data effectively. A delay in replication acts directly on the consumer experience, affecting the overall responsiveness and efficiency of the system.

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Data consistency is always maintained

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