Can multiple consumer read from same topic?

Can multiple consumer read from same topic?

If you have two Kafka consumers with different Group Id they will read all 12 partitions without any interference between each other. Meaning both consumers will read the exact same set of messages independently.

Should you put several event types in the same Kafka topic?

The most important rule is that any events that need to stay in a fixed order must go in the same topic (and they must also use the same partitioning key). Most commonly, the order of events matters if they are about the same entity.

How do Kafka consumers work?

In Kafka, each topic is divided into a set of logs known as partitions. Producers write to the tail of these logs and consumers read the logs at their own pace. Kafka scales topic consumption by distributing partitions among a consumer group, which is a set of consumers sharing a common group identifier.

Can one Kafka consumer subscribe to multiple topics?

Subscribing to topics A consumer must subscribe to topics to retrieve the records stored in them. To be clear, a single consumer can subscribe to multiple topics at once. You do not have to make a separate consumer per topic. A consumer subscribes to topics using its subscribe method (seems pretty obvious, I know…).

Can a topic have multiple schemas?

When working with a combination of Confluent Schema Registry + Apache Kafka, you may notice that pushing messages with different Avro schemas to one topic was not possible. Starting with Confluent Schema Registry version 4.1.

Is group ID mandatory for Kafka consumer?

One is group.id (mandatory) and second one is consumer.id (not Mandatory).

How many producers can write to Kafka?

4 Answers. In general, a single producer for all topics will be more network efficient. If the kafka client sees more than one topic+partition on the same Kafka Node, it can send messages for both topic+partitions in a single message.

What does a Kafka consumer group look like?

Introduction to Kafka Consumer Group Kafka consumer group is basically several Kafka Consumers who can read data in parallel from a Kafka topic. A Kafka Consumer Group has the following properties: All the Consumers in a group have the same group.id.

How are the Partitions divided in Kafka consumer?

The partitions of all the topics are divided among the consumers in the group. As new group members arrive and old members leave, the partitions are re-assigned so that each member receives a proportional share of the partitions. This is known as rebalancing the group.

Can a consumer read more than one message in Kafka?

But, on the Consumer side, if we have more than one consumer reading from the same topic, there is a high chance that each message will be read more than once. Kafka solves this problem using Consumer Group. In any instance, only one consumer is allowed to read data from a partition.

Do you split events across different topics in Kafka?

In particular, if you have a bunch of different events that you want to publish to Kafka as messages, do you put them in the same topic, or do you split them across different topics? The most important function of a topic is to allow a consumer to specify which subset of messages it wants to consume.