What is Kafka partitioning and why is it important?

What is Kafka partitioning and why is it important?

Kafka partitioning is a method of dividing a topic into smaller, manageable pieces called partitions. This allows for parallel processing and scalability.

How does partitioning affect message ordering?

Partitioning can affect message ordering because messages within a partition are ordered, but across different partitions, there is no guaranteed order.

Can I change the number of partitions after creating a topic?

Yes, you can increase the number of partitions for a topic after it has been created, but reducing the number is not allowed.

What happens if a partition becomes unavailable?

If a partition becomes unavailable, Kafka will attempt to redirect requests to other available replicas, ensuring data availability.

How do I choose the right number of partitions for my topic?

Choosing the right number of partitions depends on your throughput requirements, consumer parallelism, and the expected load on the topic.