說真闷叉，這個問題看上去很簡單钝侠，但“得益”與kafka-python神奇的文檔佣蓉，真的不算簡單，反正我是搜了半天還看了半天源碼馆铁。直接上代碼吧
from kafka import SimpleClient, KafkaConsumer
from kafka.common import OffsetRequestPayload, TopicPartition
def get_topic_offset(brokers, topic):
"""
獲取一個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):
"""
獲取一個topic特定group已經(jīng)消費的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
