Consumer Internal Threads

The video tutorial explains the workings of consumer groups in Kafka, focusing on the coordination between consumers through poll threads and heartbeats. It details the heartbeat mechanism, including session timeout and heartbeat interval settings, and discusses the importance of processing speed to avoid rebalances. The tutorial also covers the poll thread and max poll interval settings, especially in the context of big data frameworks like Spark, emphasizing the need for efficient data processing.

What is the primary role of the consumer coordinator in a Kafka consumer group?

• To check if consumers are alive

• To send data to consumers

• To manage data storage

• To process data faster

How often should heartbeats be sent according to the general guideline?

• 1/3 of the session timeout

• Every second

• Twice the session timeout

• Every 10 seconds

What happens if a consumer does not send a heartbeat within the session timeout?

• The consumer is considered active

• The consumer is disconnected

• The session timeout is extended

• The consumer receives a warning

What is the default Max Poll Interval in Kafka?

• Ten minutes

• One minute

• Two minutes

• Five minutes

Why is it important to adjust the Max Poll Interval in big data frameworks?

• To increase data storage

• To prevent consumer disconnection

• To reduce data processing speed

• To enhance data security