更改架构注册表格式后未收到Kafka使用者消息

时间:2019-07-05 05:01:04

标签: c# apache-kafka kafka-consumer-api kafka-producer-api

我是Kafka的新手,并且能够以某种方式管理kafka Avro的消费者和生产者。生产者正在生产该消息,并且我已经成功地将其传递给了消费者。这是我的生产者代码段:

static async void AvroProducer()
{
    string bootstrapServers = "localhost:9092";
    string schemaRegistryUrl = "Production163:8081"; 
    string topicName = "player";
    string groupName = "avro-generic-example-group";


     var s = (RecordSchema)RecordSchema.Parse(
        @"{
            ""namespace"": ""Confluent.Kafka.Examples.AvroSpecific"",
            ""type"": ""record"",
            ""name"": ""User"",
            ""fields"": [
                {""name"": ""name"", ""type"": ""string""},
                {""name"": ""favorite_number"",  ""type"": [""int"", ""null""]},
                {""name"": ""favorite_color"", ""type"": [""string"", ""null""]}
            ]
          }"
    );

    using (var schemaRegistry = new CachedSchemaRegistryClient(new SchemaRegistryConfig { SchemaRegistryUrl = schemaRegistryUrl }))
    using (var producer =
        new ProducerBuilder<string, GenericRecord>(new ProducerConfig { BootstrapServers = bootstrapServers })
            .SetKeySerializer(new AsyncAvroSerializer<string>(schemaRegistry))
            .SetValueSerializer(new AsyncAvroSerializer<GenericRecord>(schemaRegistry))
            .Build())
    {
        Console.WriteLine($"{producer.Name} producing on {topicName}. Enter user names, q to exit.");

        int i = 0;
        string text;
        while ((text = Console.ReadLine()) != "q")
        {
            var record = new GenericRecord(s);
            record.Add("name", text);
            record.Add("favorite_number", i++);
            record.Add("favorite_color", "blue");

            producer.ProduceAsync(topicName, new Message<string, GenericRecord> { Key = text, Value = record })
                .ContinueWith(task => task.IsFaulted
                    ? $"error producing message: {task.Exception.Message}"
                    : $"produced to: {task.Result.TopicPartitionOffset}");
        }
    }
    Console.ReadLine();

}

如您在上面的代码中看到的,我正在使用一种记录方案,但是我正在尝试这种模式:

//this is the new schema try
        var s = (RecordSchema)RecordSchema.Parse(
            @"{
                ""type"": ""record"",
                ""name"": ""TestingMsg"",
                ""doc"": ""Sample"",
                ""fields"": [
                  {
                   ""name"": ""key"",
                   ""type"": ""string""
                  },
                  {
                   ""name"": ""Time"",
                   ""type"": ""long""
                  },
                  {
                   ""name"": ""sourceSeconds"",
                   ""type"": ""long""
                  },
                  {
                   ""name"": ""serverT"",
                   ""type"": ""long""
                  },

                  {
                   ""name"": ""statusCode"",
                   ""type"": ""int""
                  }
                ]
                }"
            );

我正在尝试使用的新邮件,但是由于我没有在消费者中收到消息,因此无法使用。 这里是消费者:

void KafkaReader(CancellationToken cancellationToken)
    {
        Debug.Log("kafka reader started. . .");
        // Set up your Kafka connection here.

        while (_keepThreadRunning)
        {
            using (CachedSchemaRegistryClient schemaRegistry = new CachedSchemaRegistryClient(new SchemaRegistryConfig { SchemaRegistryUrl = schemaRegistryUrl }))
            using (IConsumer<string, GenericRecord> consumer = new ConsumerBuilder<string, GenericRecord>(new ConsumerConfig { BootstrapServers = bootstrapServers, GroupId = groupName })
            //using (IConsumer<string, GenericRecord> consumer = new ConsumerBuilder<string, GenericRecord>(new ConsumerConfig { BootstrapServers = bootstrapServers})
                    .SetKeyDeserializer(new AsyncAvroDeserializer<string>(schemaRegistry).AsSyncOverAsync())
                    .SetValueDeserializer(new AsyncAvroDeserializer<GenericRecord>(schemaRegistry).AsSyncOverAsync())
                    .SetErrorHandler((_, e) => Debug.Log($"Error: {e.Reason}"))
                    .Build())
            {
                Debug.Log("subscribe" );
                consumer.Subscribe(topicName);


                while (true)
                {
                    ConsumeResult<string, GenericRecord> consumeResult = consumer.Consume(cancellationToken);//TimeSpan.FromMilliseconds(50000)//new TimeSpan(0,0,1)

                    _stringsReceived.Enqueue(consumeResult.Value.ToString());


                    if (consumeResult != null)
                    {
                        Debug.Log($"Key: {consumeResult.Message.Key}\nValue: {consumeResult.Value}");


                    }
                    else
                    {
                        Debug.Log("consumer Result is null");
                    }

                    //yield return new WaitForSeconds(1);
                }
            }


        }

        GetComponent<KafkaServerConfigUI>().KafkaDisconnected();

        // Disconnect and clean up your connection here.


    }

请记住,我只是使用批处理文件运行默认的Apache Kafka注册表。

D:\ApachKafka\confluent\confluent-5.2.1\bin\windows\schema-registry-start.bat D:\ApachKafka\confluent\confluent-5.2.1\etc\schema-registry\schema-registry.properties

我做错了什么?我需要将架构注册到任何地方吗?

2 个答案:

答案 0 :(得分:1)

仅在悬赏之后,我就确定了问题所在(以下是Kafka的新手答案)。要进行任何更改或使用新的架构,您必须注册该架构。我错过了这个东西,因此没有在消费者中得到消息。这是short python script,可帮助您注册架构。

使用script,您必须提供Schema Registry的URL(以http://开头,而不仅仅是主机名和端口),应为其注册模式的主题以及路径到模式。

这是我注册架构的方式

enter image description here

感谢引用:Avro and Schema registry

答案 1 :(得分:0)

我知道您对此有答案。我的建议是避免为每个架构更新运行python脚本。

您可以使用schema-registry-ui。

简而言之,schema-registry-ui提供了 -探索和搜索模式 -Avro Evolution兼容性检查 -新模式注册 -Avro +表架构视图 -显示CURL命令

如何获取

git clone https://github.com/Landoop/schema-registry-ui.git
cd schema-registry-ui
npm install -g bower
npm install
http-server .

演示

http://schema-registry-ui.landoop.com/

或者提供了docker镜像。如果可以选择许可证,请尝试使用融合控制中心,该中心提供了更多选项。