我已在Google Developers Console上注册，但我的项目不是结算项目 . 我做了网页https://github.com/GoogleCloudPlatform/datalab/wiki/Development-Environment和https://github.com/GoogleCloudPlatform/datalab/wiki/Build-and-Run描述的“初始化环境”和“构建并运行”的步骤 . 但是当我在本地Linux服务器上部署的Notebook中运行代码时，我遇到以下错误：
创建并运行SQL查询
bq.Query（'SELECT * FROM [cloud-datalab-samples：httplogs.logs_20140615] LIMIT 3'） . results（）
（）中的异常回溯（最近一次调用）1＃创建并运行SQL查询----> 2 bq.Query（'SELECT * FROM [cloud-datalab-samples：httplogs.logs_20140615] LIMIT 3'） . 结果（）
结果中的/usr/local/lib/python2.7/dist-packages/gcp/bigquery/_query.pyc（self，use_cache）130“”“131 if if use_cache或（self._results is None）： - > 132 self.execute（use_cache = use_cache）133返回self._results.results 134
执行中的/usr/local/lib/python2.7/dist-packages/gcp/bigquery/_query.pyc（self，table_name，table_mode，use_cache，priority，allow_large_results）343“”“344 job = self.execute_async（table_name = table_name，table_mode = table_mode，use_cache = use_cache， - > 345 priority = priority，allow_large_results = allow_large_results）346 self._results = job.wait（）347 return self._results
execute_async中的/usr/local/lib/python2.7/dist-packages/gcp/bigquery/_query.pyc（self，table_name，table_mode，use_cache，priority，allow_large_results）307 allow_large_results = allow_large_results）308除了异常为e： - > 309如果'jobReference'不在query_result中，则提高e 310：311引发异常（'意外的查询响应' . ）
Exception: Failed to send HTTP request. 一步一步，我找到抛出异常的地方：如果 Headers 是None：headers = {}
headers['user-agent'] = 'GoogleCloudDataLab/1.0'
# Add querystring to the URL if there are any arguments.
if args is not None:
qs = urllib.urlencode(args)
url = url + '?' + qs
# Setup method to POST if unspecified, and appropriate request headers
# if there is data to be sent within the request.
if data is not None:
if method is None:
method = 'POST'
if data != '':
# If there is a content type specified, use it (and the data) as-is.
# Otherwise, assume JSON, and serialize the data object.
if 'Content-Type' not in headers:
data = json.dumps(data)
headers['Content-Type'] = 'application/json'
headers['Content-Length'] = str(len(data))
else:
if method == 'POST':
headers['Content-Length'] = '0'
# If the method is still unset, i.e. it was unspecified, and there
# was no data to be POSTed, then default to GET request.
if method is None:
method = 'GET'
# Create an Http object to issue requests. Associate the credentials
# with it if specified to perform authorization.
#
# TODO(nikhilko):
# SSL cert validation seemingly fails, and workarounds are not amenable
# to implementing in library code. So configure the Http object to skip
# doing so, in the interim.
http = httplib2.Http()
http.disable_ssl_certificate_validation = True
if credentials is not None:
http = credentials.authorize(http)
try:
response, content = http.request(url,method=method,body=data,headers=headers)
if 200 <= response.status < 300:
if raw_response:
return content
return json.loads(content)
else:
raise RequestException(response.status, content)
except ValueError:
raise Exception('Failed to process HTTP response.')
except httplib2.HttpLib2Error:
raise Exception('Failed to send HTTP request.')
我想知道这是我的配置错误还是 Cloud datalab不支持本地部署和运行 . 也就是说，我们无法在本地datalab服务器上的笔记本中运行代码 . 请给我一些想法 . 这个问题扰乱了我一周！谢谢！
3 回答
如果您希望在本地运行Datalab容器而不是在Google Cloud中运行它，那么也可以如下所述：https://github.com/GoogleCloudPlatform/datalab/wiki/Build-and-Run
然而，这是用于构建/更改Datalab代码的开发人员设置，目前还没有面向希望使用Datalab作为工具的数据科学家/开发人员 . 即与仅将Datalab部署到启用计费的 Cloud 项目相比，设置起来更复杂 . 即使使用本地运行容器，您也可能希望使用Google Cloud项目来运行BigQuery查询等
如果您的项目没有启用计费，则无法对BigQuery运行查询，这就是您尝试执行的操作 .
按照 Headers 为Run Cloud Datalab locally的快速入门指南中的步骤在本地运行datalab，而无需设置datalab开发环境 .