Python 3.x 尝试使用confluent_kafka python将csv文件推送到卡夫卡主题时出错

我正在尝试使用AvroProducer将csv文件推送到卡夫卡主题。我正在读取一个csv文件，并在卡夫卡主题中逐行循环。csv文件有10列，与value\u schema\u str变量中定义的相同。但是我犯了一个错误。使用python3.7、avro-python3 1.8.2和confluent_kafka

运行Producer.py时出现此错误

Traceback (most recent call last):
  File "/anaconda3/lib/python3.7/site-packages/urllib3/connectionpool.py", line 600, in urlopen
    chunked=chunked)
  File "/anaconda3/lib/python3.7/site-packages/urllib3/connectionpool.py", line 384, in _make_request
    six.raise_from(e, None)
  File "<string>", line 2, in raise_from
  File "/anaconda3/lib/python3.7/site-packages/urllib3/connectionpool.py", line 380, in _make_request
    httplib_response = conn.getresponse()
  File "/anaconda3/lib/python3.7/http/client.py", line 1321, in getresponse
    response.begin()
  File "/anaconda3/lib/python3.7/http/client.py", line 296, in begin
    version, status, reason = self._read_status()
  File "/anaconda3/lib/python3.7/http/client.py", line 278, in _read_status
    raise BadStatusLine(line)
http.client.BadStatusLine: P

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/anaconda3/lib/python3.7/site-packages/requests/adapters.py", line 449, in send
    timeout=timeout
  File "/anaconda3/lib/python3.7/site-packages/urllib3/connectionpool.py", line 638, in urlopen
    _stacktrace=sys.exc_info()[2])
  File "/anaconda3/lib/python3.7/site-packages/urllib3/util/retry.py", line 367, in increment
    raise six.reraise(type(error), error, _stacktrace)
  File "/anaconda3/lib/python3.7/site-packages/urllib3/packages/six.py", line 685, in reraise
    raise value.with_traceback(tb)
  File "/anaconda3/lib/python3.7/site-packages/urllib3/connectionpool.py", line 600, in urlopen
    chunked=chunked)
  File "/anaconda3/lib/python3.7/site-packages/urllib3/connectionpool.py", line 384, in _make_request
    six.raise_from(e, None)
  File "<string>", line 2, in raise_from
  File "/anaconda3/lib/python3.7/site-packages/urllib3/connectionpool.py", line 380, in _make_request
    httplib_response = conn.getresponse()
  File "/anaconda3/lib/python3.7/http/client.py", line 1321, in getresponse
    response.begin()
  File "/anaconda3/lib/python3.7/http/client.py", line 296, in begin
    version, status, reason = self._read_status()
  File "/anaconda3/lib/python3.7/http/client.py", line 278, in _read_status
    raise BadStatusLine(line)
urllib3.exceptions.ProtocolError: ('Connection aborted.', BadStatusLine('\x15\x03\x03\x00\x02\x02P'))

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "producer.py", line 97, in <module>
    avroProducer.produce(topic='UserActivity', value=row)
  File "/anaconda3/lib/python3.7/site-packages/confluent_kafka/avro/__init__.py", line 80, in produce
    value = self._serializer.encode_record_with_schema(topic, value_schema, value)
  File "/anaconda3/lib/python3.7/site-packages/confluent_kafka/avro/serializer/message_serializer.py", line 105, in encode_record_with_schema
    schema_id = self.registry_client.register(subject, schema)
  File "/anaconda3/lib/python3.7/site-packages/confluent_kafka/avro/cached_schema_registry_client.py", line 215, in register
    result, code = self._send_request(url, method='POST', body=body)
  File "/anaconda3/lib/python3.7/site-packages/confluent_kafka/avro/cached_schema_registry_client.py", line 164, in _send_request
    response = self._session.request(method, url, headers=_headers, json=body)
  File "/anaconda3/lib/python3.7/site-packages/requests/sessions.py", line 533, in request
    resp = self.send(prep, **send_kwargs)
  File "/anaconda3/lib/python3.7/site-packages/requests/sessions.py", line 646, in send
    r = adapter.send(request, **kwargs)
  File "/anaconda3/lib/python3.7/site-packages/requests/adapters.py", line 498, in send
    raise ConnectionError(err, request=request)
requests.exceptions.ConnectionError: ('Connection aborted.', BadStatusLine('\x15\x03\x03\x00\x02\x02P'))

---

错误提示您无法连接到注册表您是否考虑过使用Kafka connect执行此操作？kafka connect spooldir连接器获取CSV文件并将其发送到kafka主题。比自己编写代码容易得多：）错误提示您无法连接到注册表您是否考虑过使用Kafka connect来执行此操作？kafka connect spooldir连接器获取CSV文件并将其发送到kafka主题。比自己编写代码容易得多：）