这篇文章主要介绍kafka-python怎么获取topic lag值方式,文中介绍的非常详细,具有一定的参考价值,感兴趣的小伙伴们一定要看完!
直接上代码吧
from kafka import SimpleClient, KafkaConsumer from kafka.common import OffsetRequestPayload, TopicPartition def get_topic_offset(brokers, topic): """ 获取一个topic的offset值的和 """ client = SimpleClient(brokers) partitions = client.topic_partitions[topic] offset_requests = [OffsetRequestPayload(topic, p, -1, 1) for p in partitions.keys()] offsets_responses = client.send_offset_request(offset_requests) return sum([r.offsets[0] for r in offsets_responses]) def get_group_offset(brokers, group_id, topic): """ 获取一个topic特定group已经消费的offset值的和 """ consumer = KafkaConsumer(bootstrap_servers=brokers, group_id=group_id, ) pts = [TopicPartition(topic=topic, partition=i) for i in consumer.partitions_for_topic(topic)] result = consumer._coordinator.fetch_committed_offsets(pts) return sum([r.offset for r in result.values()]) if __name__ == '__main__': topic_offset = get_topic_offset("brokers", "topic") group_offset = get_group_offset("brokers", "group_id", "topic") lag = topic_offset - group_offset
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