Posted in Python onDecember 23, 2019
说真,这个问题看上去很简单,但“得益”与kafka-python神奇的文档,真的不算简单,反正我是搜了半天还看了半天源码。
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
以上这篇kafka-python 获取topic lag值方式就是小编分享给大家的全部内容了,希望能给大家一个参考,也希望大家多多支持三水点靠木。
kafka-python 获取topic lag值方式
- Author -
conghui_声明:登载此文出于传递更多信息之目的,并不意味着赞同其观点或证实其描述。
Reply on: @reply_date@
@reply_contents@