python处理kafka数据

1、程序作用：从多个topic中读取数据--处理数据--写入新的kafkatopic中 pip3 install kafka-python

import json
from kafka import KafkaProducer
from kafka import KafkaConsumer
#消费者
def comsum():
    print('start consumer')

    consumer = KafkaConsumer(
                    bootstrap_servers=["100.98.100.186:9092"],
                    )
    print(consumer)
    consumer.subscribe(['test_topic', 'topic2'])
    for message in consumer:
        rs=json.loads(message.value)  # 这样就可以通过topic和value去做后边的操作了
#处理数据生成新的数据
        dict1 = {}
        dict1['name'] = rs['name']
        dict1['msg'] = rs['msg']
        print(dict1)
        #生产新数据
        kfk_produce(dict1)
    print('end consumer')
#生产者
def kfk_produce(data_dict):
    """
        发送 string 格式数据
    :return:
    """
    producer = KafkaProducer(bootstrap_servers='100.98.100.186:9092')

    msg: str = json.dumps(data_dict).encode('utf-8')

    producer.send('new_topic', msg, partition=0)
    producer.close()

if __name__ =='__main__':
    comsum()

docker run --name python-cron -d wukc/python3-cron:latest

nohup python pyhon_kafka.py >kafka.log 2>&1 &