Esempio n. 1
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def kafka_python_producer_sync(producer, topic, size):
    for n in range(size):
        data = get_registered_user()
        data['serial'] = n
        future = producer.send('myfirst_topic', data)
        result = future.get(timeout=60)
        print(result)
    producer.flush()
Esempio n. 2
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import kafka as k
import json
from data import get_registered_user
import time

def data_serializer(data):
    return json.dumps(data).encode('utf-8')


producer = k.KafkaProducer(bootstrap_servers=['10.152.21.186:9092'],value_serializer=data_serializer)


if __name__ == '__main__':
    while True:
        data = get_registered_user()
        print(data_serializer(data))
        producer.send('registered_user',data)
        time.sleep(5)
from kafka import KafkaProducer
import json
from data import get_registered_user
import time


def json_serializer(data):
    return json.dumps(data).encode("utf-8")


producer = KafkaProducer(bootstrap_servers=['192.168.0.10:9092'],
                         value_serializer=json_serializer)

if __name__ == "__main__":
    while 1 == 1:
        registered_user = get_registered_user()
        print(registered_user)
        producer.send("registered_user", registered_user)
        time.sleep(4)
Esempio n. 4
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def kafka_python_producer_async(producer, topic, size):
    for n in range(size):
        data = get_registered_user()
        data['serial'] = n
        producer.send(topic, data).add_callback(success).add_errback(error)
    producer.flush()