Producer和Consumer
#!/usr/bin/env python
import threading, logging, time
import multiprocessing
from kafka import KafkaConsumer, KafkaProducer
BOOTSTRAP_SERVERS='127.0.0.1:9092'
class Producer(threading.Thread):
def __init__(self):
threading.Thread.__init__(self)
self.stop_event = threading.Event()
def stop(self):
self.stop_event.set()
def run(self):
producer = KafkaProducer(bootstrap_servers=BOOTSTRAP_SERVERS)
while not self.stop_event.is_set():
producer.send('my-topic', b"test")
producer.send('my-topic', b"\xc2Hola, mundo!")
time.sleep(1)
producer.close()
#读取数据
class Consumer(multiprocessing.Process):
def __init__(self):
multiprocessing.Process.__init__(self)
self.stop_event = multiprocessing.Event()
def stop(self):
self.stop_event.set()
def run(self):
consumer = KafkaConsumer(bootstrap_servers=BOOTSTRAP_SERVERS,
auto_offset_reset='earliest',
consumer_timeout_ms=1000)
#订阅某个topic
consumer.subscribe(['my-topic'])
while not self.stop_event.is_set():
for message in consumer:
print(message)
if self.stop_event.is_set():
break
consumer.close()
def main():
tasks = [
#Producer(),
Consumer()
]
for t in tasks:
t.start()
time.sleep(3600)
for task in tasks:
task.stop()
for task in tasks:
task.join()
if __name__ == "__main__":
logging.basicConfig(
format='%(asctime)s.%(msecs)s:%(name)s:%(thread)d:%(levelname)s:%(process)d:%(message)s',
level=logging.INFO
)
main()
KafkaConsumer
#!/usr/bin/env python
#coding:gbk
#kafka的使用 consumer使用
import kafka import KafkaConsumer
#消费kafka中最新的数据 并且自动提交offsets[消息的偏移量]
consumer = KafkaConsumer('my-topic',
group_id='my-group',
bootstrap_servers=['localhost:9092'])
from message in consumer:
#注意: message ,value都是原始的字节数据,需要decode
#例如: message.value.decode('utf-8')
print ("%s:%d:%d: key=%s value=%s" %s (message.topic, message.partition,
message.offset, message.key,
message.value))
#下面代码展示了kafkaConsumer常用的几个参数
#1:消费kafka中保存最早的数据,kafka默认保存几天的历史数据,不管这些数据是否消费,如果想读取最早打
数据就需要设置如下参数,第二个参数是不自动提交消费数据的offset
KafkaConsumer(auto_offset_reset='earliest', enable_auto_commit=False)
#2:消费json 格式的消息:
KafkaConsumer(value_deserializer=lambda m: json.loads(m.decode('ascii')))
#3:设置当kafka中没有可消费的数据超时时间
KafkaConsumer(consumer_timeout_ms=1000)#如果1秒内kafka中没有可供消费的数据,自动退出
#如果kafka一个group中同时设置了n个topic,想同时从几个topic中消费数据,代码如下:
#假设有三个topic,topic的名称分别是:topic1=awesome1 topic2=awesome2 topic3=awesome3
consumer = KafkaConsumer()
consumer.subscribe(pattern='^awesome.*')