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 data quickly to avoid rebalances. The tutorial also covers the max poll interval setting, particularly in the context of big data frameworks like Spark, and provides recommendations for optimizing consumer settings.

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

• To handle consumer heartbeats

• To send data to producers

• To coordinate consumer polling

• To manage data storage

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

• Every 10 seconds

• Twice the session timeout

• 1/3 of the session timeout

• Every second

What happens if a consumer's heartbeat is not detected within the session timeout?

• The consumer is considered active

• The consumer is marked as dead

• The session timeout is extended

• The consumer is paused

What is the default Max Poll Interval in Kafka?

• One minute

• Ten minutes

• Five minutes

• Two minutes

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

• To enhance data processing speed

• To prevent consumer disconnection

• To increase data storage

• To reduce network traffic