python kafka操作

 

来源于  https://blog.csdn.net/muyimo/article/details/84991405

 

#!/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.*')