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我有一个运行 Ubuntu 15.10 和 docker 1.10.1 的 Google Compute Engine 实例。当我尝试从实例上的 gcloud-python 访问 Google Datastore 时，一切正常。当我尝试从 docker 容器内部访问它时，python:3.5总是会收到 503 错误。这是完整的堆栈跟踪：

>>> unit = client.get(key)
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/usr/local/lib/python3.5/site-packages/gcloud/datastore/client.py", line 262, in get
    deferred=deferred)
  File "/usr/local/lib/python3.5/site-packages/gcloud/datastore/client.py", line 303, in get_multi
    transaction_id=transaction and transaction.id,
  File "/usr/local/lib/python3.5/site-packages/gcloud/datastore/client.py", line 136, in _extended_lookup
    transaction_id=transaction_id,
  File "/usr/local/lib/python3.5/site-packages/gcloud/datastore/connection.py", line 200, in lookup
    _datastore_pb2.LookupResponse)
  File "/usr/local/lib/python3.5/site-packages/gcloud/datastore/connection.py", line 118, in _rpc
    data=request_pb.SerializeToString())
  File "/usr/local/lib/python3.5/site-packages/gcloud/datastore/connection.py", line 95, in _request
    raise make_exception(headers, content, use_json=False)
gcloud.exceptions.ServiceUnavailable: 503 Backend Error

谁能告诉我这里可能发生了什么？

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1 回答 1

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对我来说，通过启用“Google Cloud Datastore API (v1beta2)”解决了这个问题。不要将其与“Google Cloud Datastore API”混淆。为此，您可以转到 API Manager 概览，搜索“datastore”选择“Google Cloud Datastore API (v1beta2)”，然后单击“启用”按钮。

于 2016-04-14T17:29:58.953 回答