Question

这是我的主要职能。我在下面的快照中显示以下错误。

def main():

    # Azure subscription ID
    subscription_id = ''

    # This program creates this resource group. If it's an existing resource group, comment out the code that creates the resource group
    rg_name = ''

    # The data factory name. It must be globally unique.
    df_name = ''        

    # Specify your Active Directory client ID, client secret, and tenant ID
    credentials = ServicePrincipalCredentials(client_id='', secret='', tenant='')
    resource_client = ResourceManagementClient(credentials, subscription_id)
    adf_client = DataFactoryManagementClient(credentials, subscription_id)

    rg_params = {'location':'eastus'}
    df_params = {'location':'eastus'}

    # create the resource group
    # comment out if the resource group already exits
    #resource_client.resource_groups.create_or_update(rg_name, rg_params)

    # Create a data factory
    #df_resource = Factory(location='eastus')
    #df = adf_client.factories.create_or_update(rg_name, df_name, df_resource)
    #print_item(df)
    #while df.provisioning_state != 'Succeeded':
    #    df = adf_client.factories.get(rg_name, df_name)
    #    time.sleep(1)

    # Create an Azure Storage linked service
    ls_name = ''

    # Specify the name and key of your Azure Storage account
    storage_string = SecureString('DefaultEndpointsProtocol=https;AccountName=;AccountKey=;EndpointSuffix=core.windows.net')
    ls_azure_storage = AzureStorageLinkedService(connection_string=storage_string)
    ls = adf_client.linked_services.create_or_update(rg_name, df_name, ls_name, ls_azure_storage)
    print_item(ls)

    # Create an Azure blob dataset (input)
    ds_name = ''
    ds_ls = LinkedServiceReference(ls_name)
    blob_path= ''
    blob_filename = ''
    ds_azure_blob= AzureBlobDataset(ds_ls, folder_path=blob_path, file_name = blob_filename)
    ds = adf_client.datasets.create_or_update(rg_name, df_name, ds_name, ds_azure_blob)
    print_item(ds)

    # Create an Azure blob dataset (output)
    dsOut_name = ''
    output_blobpath = ''
    dsOut_azure_blob = AzureBlobDataset(ds_ls, folder_path=output_blobpath)
    dsOut = adf_client.datasets.create_or_update(rg_name, df_name, dsOut_name, dsOut_azure_blob)
    print_item(dsOut)

    # Create a copy activity
    act_name =  ''
    blob_source = BlobSource()
    blob_sink = BlobSink()
    dsin_ref = DatasetReference(ds_name)
    dsOut_ref = DatasetReference(dsOut_name)
    copy_activity = CopyActivity(act_name,inputs=[dsin_ref], outputs=[dsOut_ref], source=blob_source, sink=blob_sink)

    # Create a pipeline with the copy activity
    p_name =  ''
    params_for_pipeline = {}
    p_obj = PipelineResource(activities=[copy_activity], parameters=params_for_pipeline)
    p = adf_client.pipelines.create_or_update(rg_name, df_name, p_name, p_obj)
    print_item(p)

    # Create a pipeline run
    run_response = adf_client.pipelines.create_run(rg_name, df_name, p_name,
        {
        }
    )

    # Monitor the pipeilne run
    time.sleep(30)
    pipeline_run = adf_client.pipeline_runs.get(rg_name, df_name, run_response.run_id)
    print("\n\tPipeline run status: {}".format(pipeline_run.status))
    activity_runs_paged = list(adf_client.activity_runs.list_by_pipeline_run(rg_name, df_name, pipeline_run.run_id, datetime.now() - timedelta(1),  datetime.now() + timedelta(1)))
    print_activity_run_details(activity_runs_paged[0])

我遇到以下错误： ErrorResponseException Traceback（最近一次通话）在（）中 ----> 1个main（）

在main（）中 37 38 ls_azure_storage = AzureStorageLinkedService（连接字符串=存储字符串） ---> 39 ls = adf_client.linked_services.create_or_update（rg_name，df_name，ls_name，ls_azure_storage） 40个print_item（ls） 41

/usr/local/lib/python2.7/dist-packages/azure/mgmt/datafactory/operations/linked_services_operations.pyc in create_or_update（self，resource_group_name，factory_name，linked_service_name，properties，if_match，custom_headers，raw，** operation_config） 170 171如果response.status_code不在[200]中： -> 172提高模型.ErrorResponseException（self._deserialize，response） 173 174反序列化=无

ErrorResponseException：操作返回了无效的状态码“禁止”

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Answer 1

通常，禁止表示您没有权限。您能检查一下您是否具有该数据工厂的写权限吗？

您使用的是ADF v1还是v2？您是否尝试过在UI中创建管道，因为这是验证权限的简便方法？

无法使用python（2.0）在Microsoft azure中创建管道，并得到以下错误

1 个答案: