kafka消息中间件-python实现 -实现数据生产和消费-实用的脚本

kafka实现推送生产数据的tmp_sc.py脚本文件
import socket
import json
from kafka import KafkaProducer
from kafka.errors import KafkaError
#kafka的配置文件：（bootstrap_servers：kafka的集群地址，topic_name：主题，consumer_id：消费分组）
KAFKA_SETTING = {
    'bootstrap_servers': ["172.x.x.x:9092", "172.x.x.x:9092", "172.x.x.x:9092"],
    'topic_name': 'user_data',
    'consumer_id': 'consumer_ai'
}
conf= KAFKA_SETTING 

print("[setting] =", conf)


producer = KafkaProducer(bootstrap_servers=conf['bootstrap_servers'],
                        api_version = (0,10),
                        retries=5)

partitions = producer.partitions_for(conf['topic_name'])
print('Topic下分区: %s' % partitions)
#需要推送的数据：（推送到kafka的数据类型必须的json类型）
user_data = {
  "appToken": "d23ea83dbf7c411aa36e5ab519f41818",
  "appId": "JF_WK_001",
  "mobile": "15950857927",
  "isRealTimeReturn": True,
  "applyTime": 15100226057,
  "uuid": "a91140f54b898w85d7a50d4b95994",
  "customerNo": 1153265851
}
 
send_data = bytes(json.dumps(user_data), encoding="utf-8")

try:
    future = producer.send(conf['topic_name'], send_data)
    future.get()
    print('send message succeed.')
except KafkaError as e:
    print('send message failed. [e] ='), 

kafka实现推送生产数据的tmp_xf.py脚本文件

import socket
from kafka import KafkaConsumer
from kafka.errors import KafkaError


KAFKA_SETTING = {
    'bootstrap_servers': ["172.x.x.x:9092", "172.x.x.x:9092", "172.x.x.x:9092"],
    'topic_name': 'result_data',
    'topic_name_user': 'user_data',
    'consumer_id': 'consumer_ai'
}

conf = KAFKA_SETTING

consumer = KafkaConsumer(bootstrap_servers=conf['bootstrap_servers'],
                        group_id=conf['consumer_id'],
                        api_version = (0,10))

print('consumer start to consuming...')
consumer.subscribe((conf['topic_name'], ))
from IPython import embed
# embed()

print("consumer = ", consumer)
for message in consumer:
    print(message.topic, message.offset, message.key, message.value, message.partition)