我正在使用go中的/linkedin/goavro包将avro编码的数据生成kafka主题。目标是能够使用不同的客户机来使用主题。
首先，我注册模式如下：

curl -X POST -H "Content-Type: application/vnd.schemaregistry.v1+json" --data '{"schema": "{\"name\":\"test_topic2\",\"type\":\"record\", \"fields\":[{\"name\":\"user\",\"type\":\"string\"},{\"name\":\"password\",\"size\":10,\"type\":\"string\"}]}"}' http://localhost:8081/subjects/test_topic2-value/versions

然后我创建avro数据，用go生成并使用它。

package main

import (

    "github.com/Shopify/sarama"
    "github.com/linkedin/goavro"
    "fmt"

)
const (
    brokers = "localhost:9092"
    topic     = "test_topic2"
)

const loginEventAvroSchema = `{"name":"test_topic2","type":"record", "fields":[{"name":"user","type":"string"},{"name":"password","size":10,"type":"string"}]}`

func main() {

// Create Message

codec, err := goavro.NewCodec(loginEventAvroSchema)
if err != nil {
    panic(err)
}

m := map[string]interface{}{
    "user": "pikachu", "password": 231231,
}

single, err := codec.SingleFromNative(nil, m)
if err != nil {
    panic(err)
}

// Producer
    config := sarama.NewConfig()
    config.Consumer.Return.Errors = true
    config.Producer.Return.Successes = true

    config.Version = sarama.V2_4_0_0
    //get broker
    cluster, err := sarama.NewSyncProducer(brokers, config)
    if err != nil {
        panic(err)
    }

    defer func() {
        if err := cluster.Close(); err != nil {
            panic(err)
        }
    }()

    msg := &sarama.ProducerMessage{
        Topic: topic,
        Value: sarama.StringEncoder(single),
    }

    cluster.SendMessage(msg)

// Consumer 

    clusterConsumer, err := sarama.NewConsumer(brokers, config)
    if err != nil {
        panic(err)
    }

    defer func() {
        if err := clusterConsumer.Close(); err != nil {
            panic(err)
        }
    }()

    msgK, _ := clusterConsumer.ConsumePartition(topic, 0, sarama.OffsetOldest)

    for {

        q := <-msgK.Messages()

        native, _, err := codec.NativeFromSingle([]byte(q.Value))
        if err != nil {
            fmt.Println(err)
        }

        fmt.Println(native)

}

这段代码运行良好，我可以成功地将消息生成和消费到kafka主题中。
现在我尝试使用python avro consumer的主题：

from confluent_kafka import KafkaError
from confluent_kafka.avro import AvroConsumer
from confluent_kafka.avro.serializer import SerializerError

c = AvroConsumer({
    'bootstrap.servers': 'localhost',
    'group.id': 'groupid',
    'schema.registry.url': 'http://localhost:8081',
    'auto.offset.reset': 'earliest'})

c.subscribe(['test_topic2'])

while True:
    try:
        msg = c.poll(10)

    except SerializerError as e:
        print("Message deserialization failed for {}: {}".format(msg, e))
        break

    if msg is None:
        continue

    if msg.error():
        print("AvroConsumer error: {}".format(msg.error()))
        continue

    print(msg.value(), msg.key())

c.close()

但我得到以下错误：

confluent_kafka.avro.serializer.SerializerError: Message deserialization failed for message at test_topic2 [0] offset 1: message does not start with magic byte

我想我错过了一些在去生产者的一部分，我会非常感谢如果有人能分享他/她的经验，如何解决这个问题。