我正在使用Confluent的C#Kafka客户端。当消费者开始消费时,我观察到使用Wireshark每秒向服务器发出大约16个请求。我尝试在使用者配置中设置“ HeartbeatIntervalMs = 3000
”,但没有任何改变。如何管理这个频率?
编辑:
请求是一对加密字符。在每对请求中,第一个约为有线的60个字节,第二个约为有线的140个字节。第二个包含单词“ Kafka”和所有已订阅的主题,如果订阅的主题数量很多,这将添加大量数据。
我使用的代码是Confluent的Github页面上的示例代码。我只是添加了HeartbeatIntervalMs
和SessionTimeoutMs
,但它们仍然不会改变请求的频率:
var conf = new ConsumerConfig
{
GroupId = "test-consumer-group",
BootstrapServers = "localhost:9092",
// Note: The AutoOffsetReset property determines the start offset in the event
// there are not yet any committed offsets for the consumer group for the
// topic/partitions of interest. By default, offsets are committed
// automatically, so in this example, consumption will only start from the
// earliest message in the topic 'my-topic' the first time you run the program.
AutoOffsetReset = AutoOffsetReset.Earliest,
HeartbeatIntervalMs = 3000,
SessionTimeoutMs = 10000
};
using (var c = new ConsumerBuilder<Ignore, string>(conf).Build())
{
c.Subscribe("my-topic");
CancellationTokenSource cts = new CancellationTokenSource();
Console.CancelKeyPress += (_, e) => {
e.Cancel = true; // prevent the process from terminating.
cts.Cancel();
};
try
{
while (true)
{
try
{
var cr = c.Consume(cts.Token);
Console.WriteLine($"Consumed message '{cr.Value}' at: '{cr.TopicPartitionOffset}'.");
}
catch (ConsumeException e)
{
Console.WriteLine($"Error occured: {e.Error.Reason}");
}
}
}
catch (OperationCanceledException)
{
// Ensure the consumer leaves the group cleanly and final offsets are committed.
c.Close();
}
}