【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

本文涉及的产品
实时计算 Flink 版,5000CU*H 3个月
简介: 【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

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.

 

相关文章
|
2月前
|
消息中间件 前端开发 Kafka
【Azure 事件中心】使用Apache Flink 连接 Event Hubs 出错 Kafka error: No resolvable bootstrap urls
【Azure 事件中心】使用Apache Flink 连接 Event Hubs 出错 Kafka error: No resolvable bootstrap urls
|
13天前
|
消息中间件 Kafka
消费kafka不需要设置 压缩协议吗 假如生产者压缩协议是lz4
消费kafka不需要设置 压缩协议吗 假如生产者压缩协议是lz4
|
1月前
|
数据采集 消息中间件 存储
实时数据处理的终极武器:Databricks与Confluent联手打造数据采集与分析的全新篇章!
【9月更文挑战第3天】本文介绍如何结合Databricks与Confluent实现高效实时数据处理。Databricks基于Apache Spark提供简便的大数据处理方式,Confluent则以Kafka为核心,助力实时数据传输。文章详细阐述了利用Kafka进行数据采集,通过Delta Lake存储并导入数据,最终在Databricks上完成数据分析的全流程,展示了一套完整的实时数据处理方案。
49 3
|
2月前
|
消息中间件 Kafka 测试技术
【Azure 事件中心】使用Kafka的性能测试工具(kafka-producer-perf-test)测试生产者发送消息到Azure Event Hub的性能
【Azure 事件中心】使用Kafka的性能测试工具(kafka-producer-perf-test)测试生产者发送消息到Azure Event Hub的性能
|
2月前
|
消息中间件 域名解析 网络协议
【Azure 应用服务】部署Kafka Trigger Function到Azure Function服务中,解决自定义域名解析难题
【Azure 应用服务】部署Kafka Trigger Function到Azure Function服务中,解决自定义域名解析难题
|
5月前
|
传感器 人工智能 监控
智能耕耘机器人
智能耕耘机器人
111 3
|
2月前
|
人工智能 算法 机器人
机器人版的斯坦福小镇来了,专为具身智能研究打造
【8月更文挑战第12天】《GRUtopia:城市级具身智能仿真平台》新论文发布,介绍了一款由上海AI实验室主导的大规模3D城市模拟环境——GRUtopia。此平台包含十万级互动场景与大型语言模型驱动的NPC系统,旨在解决具身智能研究中的数据稀缺问题并提供全面的评估工具,为机器人技术的进步搭建重要桥梁。https://arxiv.org/pdf/2407.10943
182 60
|
5月前
|
自然语言处理 机器人 Go
【飞书ChatGPT机器人】飞书接入ChatGPT,打造智能问答助手
【飞书ChatGPT机器人】飞书接入ChatGPT,打造智能问答助手
312 0
|
2月前
|
机器人 C# 人工智能
智能升级:WPF与人工智能的跨界合作——手把手教你集成聊天机器人,打造互动新体验与个性化服务
【8月更文挑战第31天】聊天机器人已成为现代应用的重要组成部分,提供即时响应、个性化服务及全天候支持。随着AI技术的发展,聊天机器人的功能日益强大,不仅能进行简单问答,还能实现复杂对话管理和情感分析。本文通过具体案例分析,展示了如何在WPF应用中集成聊天机器人,并通过示例代码详细说明其实现过程。使用Microsoft的Bot Framework可以轻松创建并配置聊天机器人,增强应用互动性和用户体验。首先,需在Bot Framework门户中创建机器人项目并编写逻辑。然后,在WPF应用中添加聊天界面,实现与机器人的交互。
47 0

热门文章

最新文章