python - 如何将 AMLS 连接到 ADLS Gen 2？

Question

我想在我的 Azure 机器学习工作区 ( azureml-core==1.12.0 ) 中注册来自 ADLS Gen2 的数据集。鉴于 Python SDK 中不需要服务主体信息 documentation为 .register_azure_data_lake_gen2() ，我成功地使用以下代码将 ADLS gen2 注册为数据存储:

from azureml.core import Datastore

adlsgen2_datastore_name = os.environ['adlsgen2_datastore_name']
account_name=os.environ['account_name'] # ADLS Gen2 account name
file_system=os.environ['filesystem']

adlsgen2_datastore = Datastore.register_azure_data_lake_gen2(
    workspace=ws,
    datastore_name=adlsgen2_datastore_name,
    account_name=account_name, 
    filesystem=file_system
)

但是，当我尝试注册数据集时，使用

from azureml.core import Dataset
adls_ds = Datastore.get(ws, datastore_name=adlsgen2_datastore_name)
data = Dataset.Tabular.from_delimited_files((adls_ds, 'folder/data.csv'))

我收到一个错误

Cannot load any data from the specified path. Make sure the path is accessible and contains data.ScriptExecutionException was caused by StreamAccessException.StreamAccessException was caused by AuthenticationException.'AdlsGen2-ReadHeaders' for '[REDACTED]' on storage failed with status code 'Forbidden' (This request is not authorized to perform this operation using this permission.), client request ID <CLIENT_REQUEST_ID>, request ID <REQUEST_ID>. Error message: [REDACTED]| session_id=<SESSION_ID>

我是否需要启用服务主体才能使其正常工作？使用 ML Studio UI，似乎甚至需要服务主体来注册数据存储。
我注意到的另一个问题是 AMLS 试图访问这里的数据集: https://adls_gen2_account_name.**dfs**.core.windows.net/container/folder/data.csv而 ADLS Gen2 中的实际 URI 是: https://adls_gen2_account_name.**blob**.core.windows.net/container/folder/data.csv

Answer 1

根据这个documentation ，您需要启用服务主体。
1.您需要注册您的应用程序并使用授予服务主体存储 Blob 数据读取器访问 .

2.试试这个代码:

adlsgen2_datastore = Datastore.register_azure_data_lake_gen2(workspace=ws,
                                                             datastore_name=adlsgen2_datastore_name,
                                                             account_name=account_name,
                                                             filesystem=file_system,
                                                             tenant_id=tenant_id,
                                                             client_id=client_id,
                                                             client_secret=client_secret
                                                             )

adls_ds = Datastore.get(ws, datastore_name=adlsgen2_datastore_name)
dataset = Dataset.Tabular.from_delimited_files((adls_ds,'sample.csv'))
print(dataset.to_pandas_dataframe())

结果: