【Azure 事件中心】Kafka 生产者发送消息失败,根据失败消息询问机器人得到的分析步骤

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**问题描述:** 2023-06-05 02:00:20.467 [kafka-producer-thread | producer-1] ERROR com.deloitte.common.kafka.CommonKafkaProducer - messageId:9235f334-e39f-b429-227e-45cd30dd6486, topic:notify_topic 发送消息失败 org.apache.kafka.common.errors.TimeoutException: The request timed out. **分析:** * **请求超时:** error消息表明,Kafka生产器未能发送一条消息,因为请求超时。 * **网络连接问题:** 错误消息中没有明确说明网络连接问题,但可以检查网络连接稳定性以及防火墙或网络安全组的配置。 * **消息大小限制:** 错误消息表明,消息大小超过了Event Hub服务允许的最大大小,可能导致请求超时。 * **配置错误:** 可以检查Kafka生产器配置中的`request.timeout.ms`属性,并尝试设置一个合适的值以解决问题。 **解决方案:** 1. **检查网络连接:**调试网络连接,确保其稳定性。 2. **调整配置:**修改Kafka生产器配置中的`request.timeout.ms`属性,设置一个适当的超时值。 3. **检查消息大小:**确保消息大小符合Event Hub服务的最大大小限制。 4. **查看日志:**检查Kafka生产器日志,获取更多有关请求超时的信息。 5. **与Azure支持联系:**如果无法解决问题,请联系Azure支持寻求帮助。

正文

问题描述

Azure Event Hubs -- Kafka 生产者发送消息存在延迟接收和丢失问题, 在客户端的日志中发现如下异常:

2023-06-05 02:00:20.467 [kafka-producer-thread | producer-1] ERROR com.deloitte.common.kafka.CommonKafkaProducer - messageId:9235f334-e39f-b429-227e-45cd30dd6486, topic:notify_topic
发送消息失败 org.springframework.kafka.core.KafkaProducerException: Failed to send; nested exception is org.apache.kafka.common.errors.TimeoutException: The request timed out.
at org.springframework.kafka.core.KafkaTemplate.lambda$buildCallback$6(KafkaTemplate.java:690) 
at org.apache.skywalking.apm.plugin.kafka.CallbackAdapter.onCompletion(CallbackAdapter.java:45) 
at org.springframework.kafka.core.DefaultKafkaProducerFactory$CloseSafeProducer$1.onCompletion$original$dElInXX8(DefaultKafkaProducerFactory.java:1001) 
at org.springframework.kafka.core.DefaultKafkaProducerFactory$CloseSafeProducer$1.onCompletion$original$dElInXX8$accessor$6jLL1TNr(DefaultKafkaProducerFactory.java) 
at org.springframework.kafka.core.DefaultKafkaProducerFactory$CloseSafeProducer$1$auxiliary$ldSQQGBZ.call(Unknown Source) 
at org.apache.skywalking.apm.agent.core.plugin.interceptor.enhance.InstMethodsInter.intercept(InstMethodsInter.java:86) 
at org.springframework.kafka.core.DefaultKafkaProducerFactory$CloseSafeProducer$1.onCompletion(DefaultKafkaProducerFactory.java) 
at org.apache.kafka.clients.producer.KafkaProducer$InterceptorCallback.onCompletion$original$PwZecSoL(KafkaProducer.java:1350) 
at org.apache.kafka.clients.producer.KafkaProducer$InterceptorCallback.onCompletion$original$PwZecSoL$accessor$5Ux1udg0(KafkaProducer.java) 
at org.apache.kafka.clients.producer.KafkaProducer$InterceptorCallback$auxiliary$a5oVYNi3.call(Unknown Source) 
at org.apache.skywalking.apm.agent.core.plugin.interceptor.enhance.InstMethodsInter.intercept(InstMethodsInter.java:86) 
at org.apache.kafka.clients.producer.KafkaProducer$InterceptorCallback.onCompletion(KafkaProducer.java) 
at org.apache.kafka.clients.producer.internals.ProducerBatch.completeFutureAndFireCallbacks(ProducerBatch.java:273) 
at org.apache.kafka.clients.producer.internals.ProducerBatch.done(ProducerBatch.java:234) 
at org.apache.kafka.clients.producer.internals.ProducerBatch.completeExceptionally(ProducerBatch.java:198) 
at org.apache.kafka.clients.producer.internals.Sender.failBatch(Sender.java:758) 
at org.apache.kafka.clients.producer.internals.Sender.failBatch(Sender.java:743) 
at org.apache.kafka.clients.producer.internals.Sender.failBatch(Sender.java:695) 
at org.apache.kafka.clients.producer.internals.Sender.completeBatch(Sender.java:634) 
at org.apache.kafka.clients.producer.internals.Sender.lambda$null$1(Sender.java:575) 
at java.base/java.util.ArrayList.forEach(ArrayList.java:1541) 
at org.apache.kafka.clients.producer.internals.Sender.lambda$handleProduceResponse$2(Sender.java:562) 
at java.base/java.lang.Iterable.forEach(Iterable.java:75) 
at org.apache.kafka.clients.producer.internals.Sender.handleProduceResponse(Sender.java:562) 
at org.apache.kafka.clients.producer.internals.Sender.lambda$sendProduceRequest$5(Sender.java:836) 
at org.apache.kafka.clients.ClientResponse.onComplete(ClientResponse.java:109) 
at org.apache.kafka.clients.NetworkClient.completeResponses(NetworkClient.java:574) 
at org.apache.kafka.clients.NetworkClient.poll(NetworkClient.java:566) 
at org.apache.kafka.clients.producer.internals.Sender.runOnce(Sender.java:328) 
at org.apache.kafka.clients.producer.internals.Sender.run(Sender.java:243) 
at java.base/java.lang.Thread.run(Thread.java:829)
Caused by: org.apache.kafka.common.errors.TimeoutException: The request timed out.

 

当发送端收到 Failed to send; nested exception is org.apache.kafka.common.errors.TimeoutException: The request timed out. 日志后, 如何来分析这个问题呢?

问题回答

机器人回答一:

This error message indicates that the Kafka producer failed to send a message due to a timeout.

One possible reason for this error is that the transaction timeout is larger than the maximum value allowed by the broker.

You can check the broker configuration for `transaction.max.timeout.ms` and make sure that it is set to a value that is larger than the transaction timeout used by the producer.

You can also check the Kafka logs for more information about the error.

If you are using Flink, you can refer to the Hilo documentation on [Flink to HDInsightKafkaTransactionTimeoutIssue](https://supportability.visualstudio.com/870b0c89-5235-4a33-a0c6-44be26e284e7/_wiki/wikis/e9f84cb2-cd1b-4143-ac21-5bc63f3bdba0?pagePath=%2FHilo%2F[Hilo] TSGs%2F[Hilo] Flink TSGs%2F[Hilo] Flink to HDInsightKafkaTransactionTimeoutIssue) for more information on this issue. One or more links in the message.

 

机器人回答二:

The error message you provided indicates that the request timed out. This could be due to a network issue or a configuration issue. You can check the following: 1. Check the network connection between the producer and the Event Hub service. Make sure that the network is stable and that there are no issues with the firewall or network security groups. 2. Check the Kafka producer configuration. Make sure that the `request.timeout.ms` property is set to a value that is appropriate for your use case. You can also try increasing the value of this property to see if it resolves the issue. 3. Check the size of the message being sent. If the message size is greater than the maximum allowed size, the request may time out. You can check the maximum message size allowed by the Event Hub service and make sure that your message size is within the limit. 4. Check the Kafka logs for more information about the error. The logs may provide more details about the cause of the error. If you are still unable to resolve the issue, you can contact Azure support for further assistance. Message is interactive. Click to interact.


If you are not using Flink and are using the Kafka producer method to send messages to Event Hub, you can check the Kafka logs for more information about the error.

The error message you provided indicates that the request timed out. This could be due to a network issue or a configuration issue. You can check the following:

1. Check the network connection between the producer and the Event Hub service. Make sure that the network is stable and that there are no issues with the firewall or network security groups.

2. Check the Kafka producer configuration. Make sure that the `request.timeout.ms` property is set to a value that is appropriate for your use case. You can also try increasing the value of this property to see if it resolves the issue.

3. Check the size of the message being sent. If the message size is greater than the maximum allowed size, the request may time out. You can check the maximum message size allowed by the Event Hub service and make sure that your message size is within the limit.

4. Check the Kafka logs for more information about the error. The logs may provide more details about the cause of the error.

If you are still unable to resolve the issue, you can contact Azure support for further assistance.

 

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