Question

有人可以告诉我是否可以直接从Azure blob存储中读取csv文件作为流并使用Python处理它？我知道它可以使用C＃.Net（如下所示）完成，但想知道Python中的等效库来做到这一点。

CloudBlobClient client = storageAccount.CreateCloudBlobClient();
CloudBlobContainer container = client.GetContainerReference("outfiles");
CloudBlob blob = container.GetBlobReference("Test.csv");*

Answer 1

是的，当然可以这样做。查看Azure Storage SDK for Python

from azure.storage.blob import BlockBlobService

block_blob_service = BlockBlobService(account_name='myaccount', account_key='mykey')

block_blob_service.get_blob_to_path('mycontainer', 'myblockblob', 'out-sunset.png')

您可以在此处阅读完整的SDK文档：http://azure-storage.readthedocs.io。

Answer 2

在此处提供您的Azure订阅Azure存储名称和密钥作为帐户密钥

block_blob_service = BlockBlobService(account_name='$$$$$$', account_key='$$$$$$')

这仍然会引起斑点，并保存在当前位置，作为“ output.jpg”

block_blob_service.get_blob_to_path('you-container_name', 'your-blob', 'output.jpg')

这将从blob获取文本/项目

blob_item= block_blob_service.get_blob_to_bytes('your-container-name','blob-name')

    blob_item.content

Answer 3

可以使用python这样从blob流式传输：

from tempfile import NamedTemporaryFile
from azure.storage.blob.blockblobservice import BlockBlobService

entry_path = conf['entry_path']
container_name = conf['container_name']
blob_service = BlockBlobService(
            account_name=conf['account_name'],
            account_key=conf['account_key'])

def get_file(filename):
    local_file = NamedTemporaryFile()
    blob_service.get_blob_to_stream(container_name, filename, stream=local_file, 
    max_connections=2)

    local_file.seek(0)
    return local_file

Answer 4

这是使用new version of the SDK（12.0.0）的一种方法：

from azure.storage.blob import BlobClient

blob = BlobClient(account_url="https://<account_name>.blob.core.windows.net"
                  container_name="<container_name>",
                  blob_name="<blob_name>",
                  credential="<account_key>")

with open("example.csv", "wb") as f:
    data = blob.download_blob()
    data.readinto(f)

有关详细信息，请参见here。

Answer 5

我建议使用smart_open。

from smart_open import open

# stream from Azure Blob Storage
with open('azure://my_container/my_file.txt') as fin:
    for line in fin:
        print(line)

# stream content *into* Azure Blob Storage (write mode):
with open('azure://my_container/my_file.txt', 'wb') as fout:
    fout.write(b'hello world')

Answer 6

以下是使用 Pandas 从 Blob 读取 CSV 的简单方法：

x86_64-unknown-linux-gnu

service_client = BlobServiceClient.from_connection_string(os.environ['AZURE_STORAGE_CONNECTION_STRING'])

client = service_client.get_container_client("your_container")

bc = client.get_blob_client(blob="your_folder/yourfile.csv")

with open("yourfile.csv", 'wb') as file:

data = bc.download_blob()

file.write(data.readall())

Answer 7

我知道这是一个旧帖子，但如果有人想这样做。我可以按照以下代码访问

注意：您需要设置AZURE_STORAGE_CONNECTION_STRING，它可以从Azure Portal 获得-> 转到您的存储-> 设置-> 访问密钥，然后您将在那里获得连接字符串。

对于 Windows： setx AZURE_STORAGE_CONNECTION_STRING ""

对于 Linux：导出 AZURE_STORAGE_CONNECTION_STRING=""

对于 macOS：导出 AZURE_STORAGE_CONNECTION_STRING=""

import os
from azure.storage.blob import BlobServiceClient, BlobClient, ContainerClient, __version__

connect_str = os.getenv('AZURE_STORAGE_CONNECTION_STRING')
print(connect_str)
blob_service_client = BlobServiceClient.from_connection_string(connect_str)
container_client = blob_service_client.get_container_client("Your Storage Name Here")
try:

    print("\nListing blobs...")

    # List the blobs in the container
    blob_list = container_client.list_blobs()
    for blob in blob_list:
        print("\t" + blob.name)

except Exception as ex:
    print('Exception:')
    print(ex)

Azure Blob - 使用Python读取

7 个答案: