Manage Alibaba Cloud Data Lake Formation (DataLake) via OpenAPI/SDK. Use whenever the user asks for DataLake catalog resource operations, configuration updat...
数据分析
Alibaba Cloud Data Lake DLF
试用Use when managing Alibaba Cloud Data Lake Formation (DataLake) via OpenAPI/SDK, including the user asks for DataLake catalog resource operations, configurati...
它能做什么
Use when managing Alibaba Cloud Data Lake Formation (DataLake) via OpenAPI/SDK, including the user asks for DataLake catalog resource operations, configurati...
技能文档
Category: service
Data Lake Formation
Use Alibaba Cloud OpenAPI (RPC) with official SDKs or OpenAPI Explorer to manage resources for Data Lake Formation.
Workflow
- Confirm region, resource identifiers, and desired action.
- Discover API list and required parameters (see references).
- Call API with SDK or OpenAPI Explorer.
- Verify results with describe/list APIs.
AccessKey priority (must follow)
- Environment variables:
ALICLOUD_ACCESS_KEY_ID/ALICLOUD_ACCESS_KEY_SECRET/ALICLOUD_REGION_IDRegion policy:ALICLOUD_REGION_IDis an optional default. If unset, decide the most reasonable region for the task; if unclear, ask the user. - Shared config file:
~/.alibabacloud/credentials
API discovery
- Product code:
DataLake - Default API version:
2020-07-10 - Use OpenAPI metadata endpoints to list APIs and get schemas (see references).
High-frequency operation patterns
- Inventory/list: prefer
List*/Describe*APIs to get current resources. - Change/configure: prefer
Create*/Update*/Modify*/Set*APIs for mutations. - Status/troubleshoot: prefer
Get*/Query*/Describe*StatusAPIs for diagnosis.
Minimal executable quickstart
Use metadata-first discovery before calling business APIs:
python scripts/list_openapi_meta_apis.py
Optional overrides:
python scripts/list_openapi_meta_apis.py --product-code --version
The script writes API inventory artifacts under the skill output directory.
Output policy
If you need to save responses or generated artifacts, write them under:
output/aliyun-dlf-manage/
Validation
mkdir -p output/aliyun-dlf-manage
for f in skills/data-lake/aliyun-dlf-manage/scripts/*.py; do
python3 -m py_compile "$f"
done
echo "py_compile_ok" > output/aliyun-dlf-manage/validate.txt
Pass criteria: command exits 0 and output/aliyun-dlf-manage/validate.txt is generated.
Output And Evidence
- Save artifacts, command outputs, and API response summaries under
output/aliyun-dlf-manage/. - Include key parameters (region/resource id/time range) in evidence files for reproducibility.
Prerequisites
- Configure least-privilege Alibaba Cloud credentials before execution.
- Prefer environment variables:
ALICLOUD_ACCESS_KEY_ID,ALICLOUD_ACCESS_KEY_SECRET, optionalALICLOUD_REGION_ID. - If region is unclear, ask the user before running mutating operations.
References
- Sources:
references/sources.md
相关技能
Use when managing Alibaba Cloud Data Lake Formation (DlfNext) via OpenAPI/SDK, including the user needs DLF Next catalog/governance resource operations, incl...
Manage Alibaba Cloud Data Lake Formation (DlfNext) via OpenAPI/SDK. Use whenever the user needs DLF Next catalog/governance resource operations, including li...
Use when managing Alibaba Cloud DataAnalysisGBI via OpenAPI/SDK, including the user needs DataAnalysisGBI resource lifecycle operations, configuration change...
Operate Alibaba Cloud DataWorks through dynamic API discovery and official SDKs (Node.js, Python, Java). Covers data development, workflow operations, data i...
Use when managing Alibaba Cloud AIContent (AiContent) via OpenAPI/SDK, including the user needs AI content generation or content workflow operations in Aliba...