python模拟發送、消費kafka消息

參考文章： https://zhuanlan.zhihu.com/p/279784873

生産者代碼：

import traceback

from kafka import KafkaProducer,KafkaConsumer
from faker import Faker

fake=Faker()
# 生産者
kafka_topic = "test_kafka_demo"
kafka_bootstrap_servers = ['xx:9092','xx:9092','xxx:9092']
# 消費者
kafka_topic_group = "test-group-zeze" #消費者群組
def producer(num:int):
    producer = KafkaProducer(bootstrap_servers=kafka_bootstrap_servers)
    phones = [fake.name()+"-"+str(i) for i in range(num)]
    for p in phones:
        msg = bytes(p, encoding='utf-8')
        # print("生成消息",msg)

　　　　　　#同一個key的消息會被自動配置設定到同一個分區
        future=producer.send(kafka_topic, key=b"test",value=msg)
　　　　　　#加了監聽事件是否成功發送後，執行速度很慢，是以這裡去掉了
        # try:
        #     future.get(timeout=2)
        # except Exception as e:
        #     traceback.print_stack()
    print("成功生産{}條消息".format(num))
    producer.close()

      

消費者代碼：

from kafka import KafkaConsumer


# 生産者
kafka_topic = "test_kafka_demo"
kafka_bootstrap_servers = ['xx:9092','xx:9092','xx:9092'] #xx為對應的ip位址
# 消費者
kafka_topic_group = "test-group-zeze" #消費者群組


def consumer():
    consumer = KafkaConsumer(kafka_topic,group_id=kafka_topic_group,bootstrap_servers=kafka_bootstrap_servers)

    for message in consumer:
        print ("開始消費：","%s:%d:%d: key=%s value=%s" % (message.topic, message.partition,
                                              message.offset, message.key,
                                              message.value))

    # consumer.close()      

親測單機生産10w消息耗時20秒内，單線程

消費者沒記錄耗時，但是也非常快，kafka性能确實牛 

腦子不夠用當然隻能腳踏實地的做事情！