kafka消息中間件-python實現 -實現數據生產和消費-實用的腳本

kafka實現推送生產數據的tmp_sc.py腳本文件
import socket
import json
from kafka import KafkaProducer
from kafka.errors import KafkaError
#kafka的配置文件：（bootstrap_servers：kafka的集羣地址，topic_name：主題，consumer_id：消費分組）
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下分區: %s' % partitions)
#須要推送的數據：（推送到kafka的數據類型必須的json類型）
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實現推送生產數據的tmp_xf.py腳本文件

import socketfrom kafka import KafkaConsumerfrom kafka.errors import KafkaErrorKAFKA_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_SETTINGconsumer = 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)