2/28/2023 0 Comments Vans python runner![]() Please feel free to bring any inconsistencies or mistakes to my attention in the comments or by leaving a private note. Why? Because our auto_commit_interval is set to 1 second, remember that if the offset is not committed, the consumer will read the message again (if auto_offset_reset is set to earliest). Note that if you turn off the consumer within 1 second after reading the message, the message will be retrieved again upon restart. Notice that the consumer picks up all the missed messages and then continues listening for new ones. Now interrupt the consumer, remember at which number it was (or check it in the database) and restart the consumer. Launch consumer.py and look how it reads all the messages, including the new ones. Execute producer.py and open a new command prompt. Open a command prompt and go to the directory where you saved producer.py and consumer.py. for e in range(1000): data = '.format(message, collection)) Testing If you want to make sure the message is received by the broker, it’s advised to include a callback. To conclude our iteration,we take a 5 second break. Note that our value serializer will automatically convert and encode the data. This can be done by calling the send method on the producer and specifying the topic and the data. Within the same loop we will also send our data to a broker. This is not the topic key, but just a key of our data. This can be done with a for-loop where we feed each number as the value into a dictionary with one key: number. Now, we want to generate numbers from one till 1000. Producer = KafkaProducer(bootstrap_servers=, value_serializer=lambda x: dumps(x).encode('utf-8')) Here, we convert the data to a json file and encode it to utf-8.
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