Kafka consumer for multiple topic

Question

I have a list of topics (for now it's 10) whose size can increase in future. I know we can spawn multiple threads (per topic) to consume from each topic, but in my case if the number of topics increases, then the number of threads consuming from the topics increases, which I do not want, since the topics are not going to get data too frequently, so the threads will sit ideal.

Is there any way to have a single consumer to consume from all topics? If yes, then how can we achieve it? Also how will the offset be maintained by Kafka? Please suggest answers.

Solution 1

We can subscribe for multiple topic using following API : consumer.subscribe(Arrays.asList(topic1,topic2), ConsumerRebalanceListener obj)

Consumer has the topic info and we can comit using consumer.commitAsync or consumer.commitSync() by creating OffsetAndMetadata object as follows.

ConsumerRecords<String, String> records = consumer.poll(long value);
for (TopicPartition partition : records.partitions()) {
    List<ConsumerRecord<String, String>> partitionRecords = records.records(partition);
    for (ConsumerRecord<String, String> record : partitionRecords) {
        System.out.println(record.offset() + ": " + record.value());
    }
    long lastOffset = partitionRecords.get(partitionRecords.size() - 1).offset();
    consumer.commitSync(Collections.singletonMap(partition, new OffsetAndMetadata(lastOffset + 1)));
}

Solution 2

There is no need for multiple threads, you can have one consumer, consuming from multiple topics. Offsets are maintained by zookeeper, as kafka-server itself is stateless. Whenever a consumer consumes a message,its offset is commited with zookeeper to keep a future track to process each message only once. So even in case of kafka failure, consumer will start consuming from the next of last commited offset.