from kafka import KafkaProducer
from kafka import KafkaConsumer
from kafka.structs import TopicPartition
import time
bootstrap_servers = []
class OperateKafka:
def init(self,bootstrap_servers,topic):
self.bootstrap_servers = bootstrap_servers
self.topic = topic
"""生产者"""
def produce(self):
producer = KafkaProducer(bootstrap_servers=self.bootstrap_servers)
for i in range(4):
msg = "msg%d" %i
producer.send(self.topic,key=str(i),value=msg)
producer.close()
"""一个消费者消费一个topic"""
def consume(self):
#consumer = KafkaConsumer(self.topic,auto_offset_reset='earliest',group_id="testgroup",bootstrap_servers=self.bootstrap_servers)
consumer = KafkaConsumer(self.topic,bootstrap_servers=self.bootstrap_servers)
print consumer.partitions_for_topic(self.topic) #获取test主题的分区信息
print consumer.topics() #获取主题列表
print consumer.subscription() #获取当前消费者订阅的主题
print consumer.assignment() #获取当前消费者topic、分区信息
print consumer.beginning_offsets(consumer.assignment()) #获取当前消费者可消费的偏移量
consumer.seek(TopicPartition(topic=self.topic, partition=0), 1) #重置偏移量，从第1个偏移量消费
for message in consumer:
print ("%s:%d:%d: key=%s value=%s"
% (message.topic,message.partition,message.offset, message.key,message.value))
"""一个消费者订阅多个topic """
def consume2(self):
consumer = KafkaConsumer(bootstrap_servers=['192.168.124.201:9092'])
consumer.subscribe(topics=('TEST','TEST2')) #订阅要消费的主题
print consumer.topics()
print consumer.position(TopicPartition(topic='TEST', partition=0)) #获取当前主题的最新偏移量
for message in consumer:
print ("%s:%d:%d: key=%s value=%s" % (message.topic, message.partition,
message.offset, message.key,
message.value))
"""消费者(手动拉取消息)"""
def consume3(self):
consumer = KafkaConsumer(group_id="mygroup",max_poll_records=3,bootstrap_servers=['192.168.124.201:9092'])
consumer.subscribe(topics=('TEST','TEST2'))
while True:
message = consumer.poll(timeout_ms=5) #从kafka获取消息
if message:
print message
time.sleep(1)def main():
bootstrap_servers = ['192.168.124.201:9092']
topic = "TEST"
operateKafka = OperateKafka(bootstrap_servers,topic)
operateKafka.produce()
#operateKafka.consume()
#operateKafka.consume2()
operateKafka.consume3()
main()
