python kafka写入.net平台消费 延迟5秒问题解决

测试环境，使用python的pykafka写入消息数据，.net Confluent.Kafka进行消费，中间发现，间隔一秒发送会延迟5秒做批处理。

python代码：

from pykafka import KafkaClient
import datetime
import threading
import time


def producer():
    client = KafkaClient(hosts="172.26.1.22:9092", broker_version='2.4')
    topicdocu = client.topics["251z_37"]
    producer = **topicdocu.get_producer()**

    for num in range(1, 20):
        time.sleep(1)
        producer.produce(bytes(str(num), encoding='utf-8'), timestamp=datetime.datetime.now())
        print(num)


if __name__ == '__main__':
    producer()

.net 消费代码：

                        var consumerConfig = new ConsumerConfig
            {
                BootstrapServers = "172.26.1.22:9092",
                AutoOffsetReset = AutoOffsetReset.Earliest,
                GroupId = "node",
                EnableAutoCommit = true,
            };
            var kafkaBuilder = new ConsumerBuilder<string, string>(consumerConfig);

            using (var consumer = kafkaBuilder.Build())
            {
                CancellationTokenSource cts = new CancellationTokenSource();
                consumer.Subscribe("251z_37");
                while (true)
                {
                    var kafkaResult = consumer.Consume(cts.Token);
                    //var @event = JsonConvert.DeserializeObject<NodeStateMachine.Entity.NodeCustomerEntity>(kafkaResult.Value);
                    Console.WriteLine(kafkaResult.Value + "   " + DateTime.Now.ToString("HH:mm:ss"));
                }
            }

问题效果：

可以看到，这种情况会5秒写入一次数据，消费端会五秒接收到一批数据。
问题原因：producer = topicdocu.get_producer(sync=True) 初始化时候，需要设置sync=True，需要传参为同步处理。之后就是一切正常了。