batch-table-storage 0.0.9

Async batch functionality for Azure Table Storage

Async Microsoft Azure CosmosDB Table SDK for Python with batching functionality

This project provides a asynchronous wrapper for the Azure cosmosdb TableService. The wrapper lets you insert/merge/replace/delete lists of entities using aioify. You can give it any number of PartitionKeys, they will be processed in different batches.

For documentation on the base package please see azure-cosmosdb-table package. (https://pypi.org/project/azure-cosmosdb-table/)

Features

• Automatically split lists of entities into batches based on PartitionKey
• Automatically chunk entities into sub-lists for correct batch sizes
• Batch Insert Entities async
• Batch Update Entities async
• Batch Merge Entities async
• Batch Delete Entities async
• Batch Insert or Replace Entities async
• Batch Insert or Merge Entities async

Getting Started

To install via the Python Package Index (PyPI), type:

pip install batch-table-storage

Minimum Requirements

• azure-cosmosdb-table==1.0.6

Code Sample

Import the wrapper class

from batch_table_service import BatchTableService

Instantiate the service

service = BatchTableService(account_name='storageAccount', account_key='x')

Create some entities

entities = [
    {'PartitionKey': 'person', 'RowKey': '1', 'name': 'John'},
    {'PartitionKey': 'pet', 'RowKey': '1', 'name': 'Cat'}
]

Import asyncio:

import asyncio

Create and commit the batches async:

asyncio.run(
    service.batch_insert_entities(table_name='tableA', entities=entities)
)

Learn More

Microsoft Azure CosmosDB Table SDK for Python: https://pypi.org/project/azure-cosmosdb-table/