Can multiple producers publish to same Kafka topic?
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. The consumer keeps track of which messages it has already consumed by keeping track of the offset of messages.
Can a producer publish to more than one topic?
As for the Producer you could use the send function multiple times with different topics in each call. A for-loop could be used. You can look at the documentation for the KafkaProducer for inspiration.
Can multiple consumers read from same topic?
A consumer can be assigned to consume multiple partitions. So the rule in Kafka is only one consumer in a consumer group can be assigned to consume messages from a partition in a topic and hence multiple Kafka consumers from a consumer group can not read the same message from a partition.
Can we have multiple records with same key in Kafka?
By default, Kafka producer relies on the key of the record to decide to which partition to write the record. For two records with the same key, the producer will always choose the same partition. So to fix this problem and ensure the ordering, you could use a customer id as the key of these Kafka records.
How do you make multiple producers in Kafka?
To create multiple producer you have to create copies of config/server. properties file. Say, you want to create three producer. So, make two copies of config/server.
Can two consumers read from same partition in Kafka?
While Kafka allows only one consumer per topic partition, there may be multiple consumer groups reading from the same partition. Multiple consumers may subscribe to a Topic under a common Consumer Group ID, although in this case, Kafka switches from sub/pub mode to a queue messaging approach.
How do I send a message to the same partition in Kafka?
The key is not the partition number but Kafka uses the key to specify the target partition. The default strategy is to choose a partition based on a hash of the key or use round-robin algorithm if the key is null. If you need a custom algorithm to map the messages to partitions you need to implement org. apache.
How do you consume multiple topics in Kafka?
In order to consume messages from kafka topic, you need to create a kafka consumer, and subscribe it into the topic. Every kafka consumer is grouped by consumer group name. It allows you to consume the whole topic using multiple physical instances of the application, and process distinct messages on each instance.
Can a Kafka consumer read from multiple topics?
Apache Kafka allows a single consumer to subscribe to multiple topics at the same time and process both in a combined stream of records.
Can Kafka topic have multiple consumers?
What is partitioning in Kafka?
Kafka Partitioning Partitioning takes the single topic log and breaks it into multiple logs, each of which can live on a separate node in the Kafka cluster. This way, the work of storing messages, writing new messages, and processing existing messages can be split among many nodes in the cluster.
How does a producer produce data to a topic provided to the Kafka client?
A producer partitioner maps each message to a topic partition, and the producer sends a produce request to the leader of that partition. The partitioners shipped with Kafka guarantee that all messages with the same non-empty key will be sent to the same partition.
How to partition a topic in Kafka?
Kafka has a concept of partitions: each topic by default has 1 partition, each partition can be thought as a unit of parallelism. Setup appropriate partitioner, such that each producer writes to it’s own partition, in isolated manner. Thanks for contributing an answer to Stack Overflow!
What is schema compatibility in Kafka serializers?
This means that the schemas of all messages in the topic must be compatible with each other. io.confluent.kafka.serializers.subject.RecordNameStrategy: The subject name is the fully-qualified name of the Avro record type of the message. Thus, the schema registry checks the compatibility for a particular record type, regardless of topic.
What is the relationship between Kafka consumers?
The answer will depend on the relationship between the consumers — specifically, whether they share a consumer group. In Kafka, a consumer group acts as both a load-balancing and an exclusion control — distributing partition assignments approximately evenly among the individual consumer instances within the group.
How many messages can Kafka handle per second?
Also , we have huge databurst, like there will be 1000s of message in 2 minutes, then very few message for next 5 to 7 minutes, what can we do in such scenarios Single kafka broker on a modern server machine can easily handle ~20k-40k messages/ per second (batched of 1000 messages, each 2k size, sync mode).