Can we have multiple producers in Kafka?

Can we have multiple producers in Kafka?

Kafka is able to seamlessly handle multiple producers that are using many topics or the same topic. The consumer subscribes to one or more topics and reads the messages. By storing the offset of the last consumed message for each partition, a consumer can stop and restart without losing its place.

How does Kafka deal with multiple consumers?

To run multiple consumers in the same group in one application, you will need to run each in its own thread. It is useful to wrap the consumer logic in its own object and then use Java’s ExecutorService to start multiple threads each with its own consumer.

How many producers can Kafka handle?

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 is Kafka producer?

A Kafka producer is an application that can act as a source of data in a Kafka cluster. A producer can publish messages to one or more Kafka topics.

What is sharding in Kafka?

Kafka scales writes and reads with partitioned, distributed, commit logs. Kafka’s sharding is called partitioning. (Kinesis which is similar to Kafka calls partitions shards.) A database shard is a horizontal partition of data in a database or search engine.

Can multiple consumers consume the same message Kafka?

Two consumers in two groups (Consumer 1 from Group 1, Consumer 1 from Group 2) CAN consume the same message from partition (Partition 0).

How much data Kafka can handle?

1 Answer. There is no limit in Kafka itself. As data comes in from producers it will be written to disk in file segments, these segments are rotated based on time (log.

How many Kafka clusters should I have?

Within the stretched cluster model, minimum three clusters are required. Apache Kafka uses Zookeeper for storing cluster metadata, such as Access Control Lists and topics configuration. Zookeeper uses majority voting to modify its state. To achieve majority, minimum N/2+1 nodes are required.

Do we need to close Kafka producer?

A producer is a type of Kafka client that publishes records to Kafka cluster. The producer has background, I/O threads for turning records into request bytes and transmitting requests to Kafka cluster. The producer must be closed to not leak resources, i.e., connections, thread pools, buffers.

Can single Kafka producer produce messages to multiple topics?

I was reading the Kafka page, the new Producer API is thread-safe and sharing single instance will improve the performance. Does it mean i can use single Producer to publish messages to multiple topics? If I understand you correctly, you are more looking using the same producer instance to send the same/multiple messages on multiple topics.

How to create multiple consumers in Kafka multiple bean?

The Kafka multiple consumer configuration involves following classes: DefaultKafkaConsumerFactory : is used to create new Consumer instances where all consumer share common configuration properties mentioned in this bean. ConcurrentKafkaListenerContainerFactory : is used to build ConcurrentMessageListenerContainer.

How to setup a multi broker Kafka cluster?

We will create a Kafka cluster with three Brokers and one Zookeeper service, one multi-partition and multi-replication Topic, one Producer console application that will post messages to the topic and one Consumer application to process the messages. Basic understanding of Kafka cluster architecture. Setup Multi-Broker Kafka Cluster:

What happens if you have two Kafka consumers with different group ID?

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. If you have four Kafka consumers with different Group Id they will all read all partitions etc.