kafka-python 中的多处理 [英] multiprocessing in kafka-python

问题描述

我一直在使用 python-kaka 模块从 kafka 代理消费.我想从同一主题中并行使用 'x' 个分区.文档有这个:

I have been using the python-kaka module to consume from a kafka broker. I want to consume from the same topic with 'x' number of partitions in parallel. The documentation has this :

# Use multiple consumers in parallel w/ 0.9 kafka brokers
# typically you would run each on a different server / process / CPU
 consumer1 = KafkaConsumer('my-topic',
                      group_id='my-group',
                      bootstrap_servers='my.server.com')
  consumer2 = KafkaConsumer('my-topic',
                      group_id='my-group',
                      bootstrap_servers='my.server.com')

这是否意味着我可以为我生成的每个进程创建一个单独的使用者?此外，consumer1 和 consumer2 消费的消息是否会重叠?

Does this mean I can create a separate consumer for each process that I spawn? Also, will there be an overlap on the messages being consumed by consumer1 and consumer2 ?

谢谢

推荐答案

是的，您可以在多个线程/进程中创建多个使用者(甚至可以在不同的机器上并行运行它们).只要所有消费者使用相同的groupID，就不会有重叠.Kafka 将每个主题分区分配给消费者组中的单个消费者.请注意，使用比可用主题分区更多的消费者将导致空闲消费者.

Yes, you can create multiple consumers in multiple threads/processes (and even run them in parallel on different machines). As long as all consumers use the same groupID, there will be no overlap. Kafka assigned each topic partition to a single consumer within a consumer group. Be aware, that using more consumers than available topic partitions will result in idle consumers.

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