【发布时间】:2020-01-19 09:32:57
【问题描述】:
在另一个 related question 中,我曾询问如何将文件从本地上传到 Microsoft Azure Data Lake Gen 2,通过 REST API 提供了答案。为了完整起见,建议的代码可以在下面找到。
由于对于大量相对较小的文件(0.05 MB),这种顺序上传文件已被证明相对较慢,我想问一下是否有可能一次对所有文件进行批量上传,假设所有文件的路径都是事先知道的?
使用 REST API 将单个文件上传到 ADLS Gen 2 的代码:
import requests
import json
def auth(tenant_id, client_id, client_secret):
print('auth')
auth_headers = {
"Content-Type": "application/x-www-form-urlencoded"
}
auth_body = {
"client_id": client_id,
"client_secret": client_secret,
"scope" : "https://storage.azure.com/.default",
"grant_type" : "client_credentials"
}
resp = requests.post(f"https://login.microsoftonline.com/{tenant_id}/oauth2/v2.0/token", headers=auth_headers, data=auth_body)
return (resp.status_code, json.loads(resp.text))
def mkfs(account_name, fs_name, access_token):
print('mkfs')
fs_headers = {
"Authorization": f"Bearer {access_token}"
}
resp = requests.put(f"https://{account_name}.dfs.core.windows.net/{fs_name}?resource=filesystem", headers=fs_headers)
return (resp.status_code, resp.text)
def mkdir(account_name, fs_name, dir_name, access_token):
print('mkdir')
dir_headers = {
"Authorization": f"Bearer {access_token}"
}
resp = requests.put(f"https://{account_name}.dfs.core.windows.net/{fs_name}/{dir_name}?resource=directory", headers=dir_headers)
return (resp.status_code, resp.text)
def touch_file(account_name, fs_name, dir_name, file_name, access_token):
print('touch_file')
touch_file_headers = {
"Authorization": f"Bearer {access_token}"
}
resp = requests.put(f"https://{account_name}.dfs.core.windows.net/{fs_name}/{dir_name}/{file_name}?resource=file", headers=touch_file_headers)
return (resp.status_code, resp.text)
def append_file(account_name, fs_name, path, content, position, access_token):
print('append_file')
append_file_headers = {
"Authorization": f"Bearer {access_token}",
"Content-Type": "text/plain",
"Content-Length": f"{len(content)}"
}
resp = requests.patch(f"https://{account_name}.dfs.core.windows.net/{fs_name}/{path}?action=append&position={position}", headers=append_file_headers, data=content)
return (resp.status_code, resp.text)
def flush_file(account_name, fs_name, path, position, access_token):
print('flush_file')
flush_file_headers = {
"Authorization": f"Bearer {access_token}"
}
resp = requests.patch(f"https://{account_name}.dfs.core.windows.net/{fs_name}/{path}?action=flush&position={position}", headers=flush_file_headers)
return (resp.status_code, resp.text)
def mkfile(account_name, fs_name, dir_name, file_name, local_file_name, access_token):
print('mkfile')
status_code, result = touch_file(account_name, fs_name, dir_name, file_name, access_token)
if status_code == 201:
with open(local_file_name, 'rb') as local_file:
path = f"{dir_name}/{file_name}"
content = local_file.read()
position = 0
append_file(account_name, fs_name, path, content, position, access_token)
position = len(content)
flush_file(account_name, fs_name, path, position, access_token)
else:
print(result)
if __name__ == '__main__':
tenant_id = '<your tenant id>'
client_id = '<your client id>'
client_secret = '<your client secret>'
account_name = '<your adls account name>'
fs_name = '<your filesystem name>'
dir_name = '<your directory name>'
file_name = '<your file name>'
local_file_name = '<your local file name>'
# Acquire an Access token
auth_status_code, auth_result = auth(tenant_id, client_id, client_secret)
access_token = auth_status_code == 200 and auth_result['access_token'] or ''
print(access_token)
# Create a filesystem
mkfs_status_code, mkfs_result = mkfs(account_name, fs_name, access_token)
print(mkfs_status_code, mkfs_result)
# Create a directory
mkdir_status_code, mkdir_result = mkdir(account_name, fs_name, dir_name, access_token)
print(mkdir_status_code, mkdir_result)
# Create a file from local file
mkfile(account_name, fs_name, dir_name, file_name, local_file_name, access_token)
【问题讨论】:
-
如果想批量上传很多文件到azure data lake gen 2,性能不错,可以使用python调用azcopy。请参阅我的更新答案。
标签: python azure azure-storage azure-data-lake