Docker Python KafkaConsumer未连接
设置: 我有3个码头集装箱Docker Python KafkaConsumer未连接,docker,apache-kafka,jupyter-notebook,kafka-consumer-api,kafka-producer-api,Docker,Apache Kafka,Jupyter Notebook,Kafka Consumer Api,Kafka Producer Api,设置: 我有3个码头集装箱 1) For Kafka 2) For Zookeeper 3) For JupyterLab 我在这些容器之间建立了网络,我看到kafka producer能够运行并生成数据 KafkaProducer.ipynb KAFKA_BROKER = ['172.20.0.2:9093'] from kafka import KafkaProducer from kafka.errors import KafkaError producer = KafkaProduc
1) For Kafka
2) For Zookeeper
3) For JupyterLab
我在这些容器之间建立了网络,我看到kafka producer能够运行并生成数据
KafkaProducer.ipynb
KAFKA_BROKER = ['172.20.0.2:9093']
from kafka import KafkaProducer
from kafka.errors import KafkaError
producer = KafkaProducer(bootstrap_servers=KAFKA_BROKER)
for _ in range(100):
print("sending")
producer.send('my-topic', key=b'foo', value=b'bar')
print("success")
这里send()发送消息100次
KafkaConsumer.ipynb
KAFKA_BROKER = ['172.20.0.2:9093']
from kafka import KafkaConsumer
consumer = KafkaConsumer('my-topic',group_id='my-group',bootstrap_servers=KAFKA_BROKER)
print("Comm success")
for message in consumer:
# message value and key are raw bytes -- decode if necessary!
# e.g., for unicode: `message.value.decode('utf-8')`
print ("%s:%d:%d: key=%s value=%s" % (message.topic, message.partition,
message.offset, message.key,
message.value))
在上述消费者代码中,
print(“Comm success”)
行永远不会执行。基于生产者代码的执行,网络是开放的,jupyter能够与kafka经纪人交谈。但是,客户机无法连接到同一个代理以使用数据。如何开始调试此项?默认情况下,值为最新的,因此使用新的group.id将其设置为最早的
consumer = KafkaConsumer('my-topic',group_id='new-group',auto_offset_reset = 'earliest',bootstrap_servers=KAFKA_BROKER)