npx skills add ...
npx skills add microsoft/agent-skills --skill azure-data-tables-py
npx skills add microsoft/agent-skills --skill azure-data-tables-py
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".
The same skill content is published under more than one repo. The install counts are split across them; any of these commands works.
NoSQL key-value store for structured data (Azure Storage Tables or Cosmos DB Table API).
🔑 Two rules apply to every code sample below:
- Prefer
DefaultAzureCredential. It works locally (Azure CLI / VS Code / Developer CLI) and in Azure (managed identity, workload identity) with no code change. Avoid connection strings, account/API keys — they bypass Entra audit and rotation.
- Local dev:
DefaultAzureCredentialworks as-is.- Production: set
AZURE_TOKEN_CREDENTIALS=prod(orAZURE_TOKEN_CREDENTIALS=<specific_credential>) to constrain the credential chain to production-safe credentials.- Wrap every client in a context manager so HTTP transports, sockets, and token caches are released deterministically:
- Sync:
with <Client>(...) as client:- Async:
async with <Client>(...) as client:andasync with DefaultAzureCredential() as credential:(fromazure.identity.aio)Snippets may abbreviate this setup, but production code should always follow both rules.
| Client | Purpose |
|---|---|
TableServiceClient | Create/delete tables, list tables |
TableClient | Entity CRUD, queries |
Important: Every entity requires PartitionKey and RowKey (together form unique ID).
| Python Type | Table Storage Type |
|---|---|
str | String |
int | Int64 |
float | Double |
bool | Boolean |
datetime | DateTime |
bytes | Binary |
UUID | Guid |
azure.data.tables sync clients with azure.data.tables.aio async clients in the same call path. Choose one mode per module.with TableClient(...) as client: (sync) or async with TableClient(...) as client: (async). For async DefaultAzureCredential from azure.identity.aio, also use async with credential: so tokens and transports are cleaned up.DefaultAzureCredential for portable auth across local dev and Azure (avoid connection strings / API keys when possible).upsert_entity for idempotent writes| File | Contents |
|---|---|
| references/capabilities.md | Additional non-hero capabilities, operation-group coverage, and production checklists. |
| references/non-hero-scenarios.md | Dedicated non-hero examples for secondary/advanced scenarios. |
import os
from azure.identity import DefaultAzureCredential, ManagedIdentityCredential
from azure.data.tables import TableServiceClient, TableClient
# Local dev: DefaultAzureCredential. Production: set AZURE_TOKEN_CREDENTIALS=prod or AZURE_TOKEN_CREDENTIALS=<specific_credential>
credential = DefaultAzureCredential(require_envvar=True)
# Or use a specific credential directly in production:
# See https://learn.microsoft.com/python/api/overview/azure/identity-readme?view=azure-python#credential-classes
# credential = ManagedIdentityCredential()
endpoint = "https://<account>.table.core.windows.net"
# Service client (manage tables)
with TableServiceClient(endpoint=endpoint, credential=credential) as service_client:
# Use service_client here (see following sections for operations)
...
# Table client (work with entities)
with TableClient(endpoint=endpoint, table_name="mytable", credential=credential) as table_client:
# Use table_client here (see following sections for operations)
...# Create table
service_client.create_table("mytable")
# Create if not exists
service_client.create_table_if_not_exists("mytable")
# Delete table
service_client.delete_table("mytable")
# List tables
for table in service_client.list_tables():
print(table.name)
# Get table client
table_client = service_client.get_table_client("mytable")entity = {
"PartitionKey": "sales",
"RowKey": "order-001",
"product": "Widget",
"quantity": 5,
"price": 9.99,
"shipped": False
}
# Create (fails if exists)
table_client.create_entity(entity=entity)
# Upsert (create or replace)
table_client.upsert_entity(entity=entity)# Get by key (fastest)
entity = table_client.get_entity(
partition_key="sales",
row_key="order-001"
)
print(f"Product: {entity['product']}")# Replace entire entity
entity["quantity"] = 10
table_client.update_entity(entity=entity, mode="replace")
# Merge (update specific fields only)
update = {
"PartitionKey": "sales",
"RowKey": "order-001",
"shipped": True
}
table_client.update_entity(entity=update, mode="merge")table_client.delete_entity(
partition_key="sales",
row_key="order-001"
)# Query by partition (efficient)
entities = table_client.query_entities(
query_filter="PartitionKey eq 'sales'"
)
for entity in entities:
print(entity)# Filter by properties
entities = table_client.query_entities(
query_filter="PartitionKey eq 'sales' and quantity gt 3"
)
# With parameters (safer)
entities = table_client.query_entities(
query_filter="PartitionKey eq @pk and price lt @max_price",
parameters={"pk": "sales", "max_price": 50.0}
)entities = table_client.query_entities(
query_filter="PartitionKey eq 'sales'",
select=["RowKey", "product", "price"]
)# List all (cross-partition - use sparingly)
for entity in table_client.list_entities():
print(entity)from azure.data.tables import TableTransactionError
# Batch operations (same partition only!)
operations = [
("create", {"PartitionKey": "batch", "RowKey": "1", "data": "first"}),
("create", {"PartitionKey": "batch", "RowKey": "2", "data": "second"}),
("upsert", {"PartitionKey": "batch", "RowKey": "3", "data": "third"}),
]
try:
table_client.submit_transaction(operations)
except TableTransactionError as e:
print(f"Transaction failed: {e}")from azure.data.tables.aio import TableServiceClient, TableClient
from azure.identity.aio import DefaultAzureCredential
async def table_operations():
async with DefaultAzureCredential() as credential:
async with TableClient(
endpoint="https://<account>.table.core.windows.net",
table_name="mytable",
credential=credential
) as client:
# Create
await client.create_entity(entity={
"PartitionKey": "async",
"RowKey": "1",
"data": "test"
})
# Query
async for entity in client.query_entities("PartitionKey eq 'async'"):
print(entity)
import asyncio
asyncio.run(table_operations())