如何为 confluent-python 客户端覆盖 kafka 中的默认配置值？

Question

作为初学者，我正在探索 Apache Kafka 和 confluent-kafka-python 客户端。当我尝试从生产者发送简单消息时，消费者能够成功使用消息。以为我会尝试将图像作为有效负载发送。因此，继续使用 1MB(png) 图像，我的制作人无法生成消息。我遇到的错误是

  p.produce('mytopic', callback=delivery_report, key='hello', value=str_value)
cimpl.KafkaException: KafkaError{code=MSG_SIZE_TOO_LARGE,val=10,str="Unable to produce message: Broker: Message size too large"}

虽然我做了一些谷歌搜索发现并且 How can I send large messages with Kafka (over 15MB)? 所以我修改了我的 server.props（经纪人方面），如下所示：

############################# Server Basics #############################

# The id of the broker. This must be set to a unique integer for each broker.
broker.id=0
max.message.bytes=1048576 
message.max.bytes=1048576 
replica.fetch.max.bytes=1048576

但我仍然无法解决问题。

producer.py

from confluent_kafka import Producer
import base64
import time

# some_data_source = ['hey', 'hi']

with open("1mb.png", "rb") as imageFile:
    str_value = base64.b64encode(imageFile.read())

p = Producer({'bootstrap.servers': 'localhost:9092', 'compression.type': 'snappy'})

def delivery_report(err, msg):
    """ Called once for each message produced to indicate delivery result.
        Triggered by poll() or flush(). """
    if err is not None:
        print('Message delivery failed: {}'.format(err))
    else:
        print('Message delivered to {} [{}]'.format(msg.topic(), msg.partition()))

for _ in range(2):
    # Trigger any available delivery report callbacks from previous produce() calls
    p.poll(0)

    # Asynchronously produce a message, the delivery report callback
    # will be triggered from poll() above, or flush() below, when the message has
    # been successfully delivered or failed permanently.
    p.produce('mytopic', callback=delivery_report, key='hello', value=str_value)

# Wait for any outstanding messages to be delivered and delivery report
# callbacks to be triggered.
p.flush()

consumer.py

from confluent_kafka import Consumer


c = Consumer({
    'bootstrap.servers': 'localhost:9092',
    'group.id': 'mygroup',
    'auto.offset.reset': 'earliest'
})

c.subscribe(['mytopic'])

while True:
    msg = c.poll(1.0)

    if msg is None:
        continue
    if msg.error():
        print("Consumer error: {}".format(msg.error()))
        continue

    print('Received message: {}'.format(msg.value().decode('utf-8')))

c.close()

我需要添加任何参数还是我在配置中遗漏了什么？任何帮助将不胜感激。

谢谢

Answer 1

看起来您对代理默认设置的更改不大；它仍然在 1MB 左右。

对于您的客户端错误，您需要将 message.max.bytes 添加到 Producer 配置中

如果您需要任何其他客户端属性，例如消费者最大提取字节数，请在此处记录这些属性

https://github.com/edenhill/librdkafka/blob/master/CONFIGURATION.md

总的来说，建议是将图像上传到集中式文件存储，然后通过 Kafka 将它们的 URI 位置作为纯字符串发送。这将增加您的代理的吞吐量并减少存储需求，特别是如果您 sending/copying 多个主题的相同图像数据

如何为 confluent-python 客户端覆盖 kafka 中的默认配置值？

How to overwrite default config values in kafka for confluent-python client?

apache-kafka

confluent-kafka-python