francoscorporation/antigravity-awesome-skills/azure-data-tables-py
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Azure Tables SDK for Python (Storage and Cosmos DB). Use for NoSQL key-value storage, entity CRUD, and batch operations. Triggers: "table storage", "TableServiceClient", "TableClient", "entities", "PartitionKey", "RowKey".
Install
npx vskill@latest install francoscorporation/antigravity-awesome-skills/azure-data-tables-pySKILL.md
Azure Tables SDK for Python
NoSQL key-value store for structured data (Azure Storage Tables or Cosmos DB Table API).
Installation
Environment Variables
Authentication
Client Types
| Client | Purpose | |
|---|---|---|
TableServiceClient | Create/delete tables, list tables | |
TableClient | Entity CRUD, queries |
Table Operations
Entity Operations
Important: Every entity requires PartitionKey and RowKey (together form unique ID).
Create Entity
Get Entity
Update Entity
Delete Entity
Query Entities
Query Within Partition
Query with Filters
Select Specific Properties
List All Entities
Batch Operations
Async Client
Data Types
| Python Type | Table Storage Type | |
|---|---|---|
str | String | |
int | Int64 | |
float | Double | |
bool | Boolean | |
datetime | DateTime | |
bytes | Binary | |
UUID | Guid |
Best Practices
- Design partition keys for query patterns and even distribution
- Query within partitions whenever possible (cross-partition is expensive)
- Use batch operations for multiple entities in same partition
- Use `upsert_entity` for idempotent writes
- Use parameterized queries to prevent injection
- Keep entities small — max 1MB per entity
- Use async client for high-throughput scenarios
Security
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Source
- SKILL.md in the repositoryCheckingskills/azure-data-tables-py/SKILL.md
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