Linuxteaching
- What is partition rebalancing in Kafka?
- How do you handle Kafka rebalance?
- How long does Kafka rebalance take?
- How does Kafka decide partition?
- How do you avoid rebalancing?
- What is the purpose of Kafka partitions?
- What is heartbeat in Kafka?
- Is Kafka stateless?
- What is subscriber in Kafka?
- Which events will initiate the consumer rebalancing in Kafka?
- What is the relationship between topics and partitions?
- How consumer group works in Kafka?
What is partition rebalancing in Kafka?
Rebalancing is the process where a group of consumer instances (belonging to the same group) co-ordinate to own a mutually exclusive set of partitions of topics that the group is subscribed to.
How do you handle Kafka rebalance?
When a consumer starts, it sends a first FindCoordinator request to obtain the Kafka broker coordinator which is responsible for its group. Then, it initiates the rebalance protocol by sending a JoinGroup request.
How long does Kafka rebalance take?
kafka consumer rebalancing takes long time (from 3 secs to 5 minutes)
How does Kafka decide partition?
Kafka Topic Partitions
A record is stored on a partition while the key is missing (default behavior). By default, the key which helps to determine what partition a Kafka Producer sends the record to is the Record Key. Basically, to scale a topic across many servers for producer writes, Kafka uses partitions.
How do you avoid rebalancing?
Still, we should avoid unnecessary rebalancing. In our experience, it is best not to play too much with session.timeout.ms and heartbeat.interval.ms if not necessary. However, it is perfectly fine to increase max.poll.interval.ms or decrease the number of records via max. poll.
What is the purpose of Kafka partitions?
Kafka topic partition
This allows multiple consumers to read from a topic in parallel. Partitions allow topics to be parallelized by splitting the data into a particular topic across multiple brokers. In Kafka, replication is implemented at the partition level.
What is heartbeat in Kafka?
Heartbeat thread is responsible for sending heartbeat messages to Kafka, informing about consumer liveness as well as monitoring liveness of the remote coordinator. Heartbeat thread does something only when the group is stable. If it isn't stable then thread disables itself and waits until group is stable again.
Is Kafka stateless?
A Kafka Streams Stateful Recap
In Kafka, there are two kinds of operations, stateless and stateful. When a stateless operation is made on a Kafka message, it can be done totally independently from any other message processing. This makes the operations quick and light-weight.
What is subscriber in Kafka?
Consumer groups is another key concept and helps to explain why Kafka is more flexible and powerful than other messaging solutions like RabbitMQ. ... By contrast, if every consumer belongs to different consumer group, all the messages will be consumed in every client; that's called a 'publish-subscribe' model.
Which events will initiate the consumer rebalancing in Kafka?
Kafka - Understanding Partition Rebalancing
- (1) A new consumer joins a consumer group. A partition rebalance is triggered when we add a new consumer to the group. ...
- (2) An existing consumer shuts down. A partition rebalance is triggered when a consumer shuts down or crashes. ...
- (3) The topic is modified.
What is the relationship between topics and partitions?
Anatomy of a Kafka Topic
Kafka topics are divided into a number of partitions. Partitions allow you to parallelize a topic by splitting the data in a particular topic across multiple brokers — each partition can be placed on a separate machine to allow for multiple consumers to read from a topic in parallel.
How consumer group works in Kafka?
Kafka consumers belonging to the same consumer group share a group id. The consumers in a group then divides the topic partitions as fairly amongst themselves as possible by establishing that each partition is only consumed by a single consumer from the group.
