🔑Producers write messages to Kafka topics, while consumers read messages from topics.
🌐Kafka topics are divided into partitions, each hosted on a separate broker.
📄Messages in Kafka are immutable and have a default retention period of one week.
📝Serialization and partitioning are key steps in the producer process.
🥇Partition leadership is determined by electing a leader within each partition of a topic.
How long are messages retained in Kafka by default?
—By default, messages are retained in Kafka for one week.
What is the role of the partitioner in Kafka?
—The partitioner in Kafka determines which partition a message will be written to based on the key.
Can I change the retention period for Kafka topics?
—Yes, you can configure the retention period globally for the cluster or on a per-topic basis.
What happens when a broker in a Kafka cluster fails?
—If a broker fails, one of the replicas for each partition will be elected as the new leader to ensure no loss of data.
How are messages serialized in Kafka?
—Messages in Kafka are serialized using the configured serializers for the key and value types.
00:00Apache Kafka is a messaging system that utilizes producers and consumers to handle messages.
05:57Kafka topics are divided into partitions, and each partition has its own leader and replicas.
09:55Messages in Kafka are immutable and can be retained for a specified period of time.
10:56Producers serialize messages and use a partitioner to determine which partition to write to.
11:45Partition leadership in Kafka is determined by electing a leader for each partition.
