kafka-python 获取topic lag值方式

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

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脚本之家。