maruf-sherikar/antigravity-skills/azure-storage-file-datalake-py

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Azure Data Lake Storage Gen2 SDK for Python. Use for hierarchical file systems, big data analytics, and file/directory operations. Triggers: "data lake", "DataLakeServiceClient", "FileSystemClient", "ADLS Gen2", "hierarchical namespace".

Install

npx vskill@latest install maruf-sherikar/antigravity-skills/azure-storage-file-datalake-py

SKILL.md

The same SKILL.md was published earlier as francoscorporation/antigravity-awesome-skills/azure-storage-file-datalake-py.

Azure Data Lake Storage Gen2 SDK for Python

Hierarchical file system for big data analytics workloads.

Installation

bash
pip install azure-storage-file-datalake azure-identity

Environment Variables

bash
AZURE_STORAGE_ACCOUNT_URL=https://<account>.dfs.core.windows.net

Authentication

python
from azure.identity import DefaultAzureCredential
from azure.storage.filedatalake import DataLakeServiceClient
credential = DefaultAzureCredential()
account_url = "https://<account>.dfs.core.windows.net"
service_client = DataLakeServiceClient(account_url=account_url, credential=credential)

Client Hierarchy

ClientPurpose
DataLakeServiceClientAccount-level operations
FileSystemClientContainer (file system) operations
DataLakeDirectoryClientDirectory operations
DataLakeFileClientFile operations

File System Operations

python
# Create file system (container)
file_system_client = service_client.create_file_system("myfilesystem")
# Get existing
file_system_client = service_client.get_file_system_client("myfilesystem")
# Delete
service_client.delete_file_system("myfilesystem")
# List file systems
for fs in service_client.list_file_systems():
print(fs.name)

Directory Operations

python
file_system_client = service_client.get_file_system_client("myfilesystem")
# Create directory
directory_client = file_system_client.create_directory("mydir")
# Create nested directories
directory_client = file_system_client.create_directory("path/to/nested/dir")
# Get directory client
directory_client = file_system_client.get_directory_client("mydir")
# Delete directory
directory_client.delete_directory()
# Rename/move directory
directory_client.rename_directory(new_name="myfilesystem/newname")

File Operations

Upload File
python
# Get file client
file_client = file_system_client.get_file_client("path/to/file.txt")
# Upload from local file
with open("local-file.txt", "rb") as data:
file_client.upload_data(data, overwrite=True)
# Upload bytes
file_client.upload_data(b"Hello, Data Lake!", overwrite=True)
# Append data (for large files)
file_client.append_data(data=b"chunk1", offset=0, length=6)
file_client.append_data(data=b"chunk2", offset=6, length=6)
file_client.flush_data(12) # Commit the data
Download File
python
file_client = file_system_client.get_file_client("path/to/file.txt")
# Download all content
download = file_client.download_file()
content = download.readall()
# Download to file
with open("downloaded.txt", "wb") as f:
download = file_client.download_file()
download.readinto(f)
# Download range
download = file_client.download_file(offset=0, length=100)
Delete File
python
file_client.delete_file()

List Contents

python
# List paths (files and directories)
for path in file_system_client.get_paths():
print(f"{'DIR' if path.is_directory else 'FILE'}: {path.name}")
# List paths in directory
for path in file_system_client.get_paths(path="mydir"):
print(path.name)
# Recursive listing
for path in file_system_client.get_paths(path="mydir", recursive=True):
print(path.name)

File/Directory Properties

python
# Get properties
properties = file_client.get_file_properties()
print(f"Size: {properties.size}")
print(f"Last modified: {properties.last_modified}")
# Set metadata
file_client.set_metadata(metadata={"processed": "true"})

Access Control (ACL)

python
# Get ACL
acl = directory_client.get_access_control()
print(f"Owner: {acl['owner']}")
print(f"Permissions: {acl['permissions']}")
# Set ACL
directory_client.set_access_control(
owner="user-id",
permissions="rwxr-x---"
)
# Update ACL entries
from azure.storage.filedatalake import AccessControlChangeResult
directory_client.update_access_control_recursive(
acl="user:user-id:rwx"
)

Async Client

python
from azure.storage.filedatalake.aio import DataLakeServiceClient
from azure.identity.aio import DefaultAzureCredential
async def datalake_operations():
credential = DefaultAzureCredential()
async with DataLakeServiceClient(
account_url="https://<account>.dfs.core.windows.net",
credential=credential
) as service_client:
file_system_client = service_client.get_file_system_client("myfilesystem")
file_client = file_system_client.get_file_client("test.txt")
await file_client.upload_data(b"async content", overwrite=True)
download = await file_client.download_file()
content = await download.readall()
import asyncio
asyncio.run(datalake_operations())

Best Practices

  1. Use hierarchical namespace for file system semantics
  2. Use `append_data` + `flush_data` for large file uploads
  3. Set ACLs at directory level and inherit to children
  4. Use async client for high-throughput scenarios
  5. Use `get_paths` with `recursive=True` for full directory listing
  6. Set metadata for custom file attributes
  7. Consider Blob API for simple object storage use cases

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