Apache Kafka - Real-time Stream Processing (Master Class) - Advanced Kafka Producers (Exactly Once)

This video tutorial covers advanced Kafka producer concepts, focusing on message durability, replication, and semantics. It explains how Kafka ensures message durability through replication and discusses the implications of at least once, at most once, and exactly once semantics. The tutorial also details the idempotent producer configuration, which helps prevent message duplication and loss, emphasizing the importance of proper application-level design to avoid duplicates.

What does message durability in Kafka ensure?

• Messages are never duplicated.

• Messages are sent only once.

• Messages are stored permanently once committed.

• Messages are deleted after being read.

What is a potential issue with 'at least once' semantics in Kafka?

• Messages are always delayed.

• Messages are never acknowledged.

• Messages may be duplicated.

• Messages may be lost.

How can 'at most once' semantics be achieved in Kafka?

• By increasing the number of partitions.

• By enabling idempotence.

• By disabling message acknowledgment.

• By setting retries to 0.

What configuration is required to achieve 'exactly once' semantics in Kafka?

• Increase partition size.

• Disable replication.

• Enable idempotence.

• Set retries to 5.

What does the producer API do to ensure idempotence?

• It assigns a unique producer ID and sequence number to each message.

• It increases the number of partitions.

• It disables message retries.

• It reduces the message size.

What is a limitation of Kafka's idempotence feature?

• It only works with a single partition.

• It requires manual message sequencing.

• It increases message latency.

• It cannot prevent duplicates from different producer instances.

What should be avoided at the application level to ensure idempotence?

• Reducing the number of partitions.

• Increasing the number of brokers.

• Disabling message acknowledgment.

• Sending duplicate messages.