How to copy all Azure Storage Queue data between two different Storage Accounts with Python
Background
This article describes how to copy all Azure Storage Queues data between two different storage accounts.
For this, we will use Azure Storage SDK for Python to copy all queues (and the respective data) from one Azure Storage Queue to another Azure Storage Queue. This approach will keep the data in the source queues, and will create new queues with the respective data in the destination Azure Storage Queue.
This script was developed and tested using the following versions but it is expected to work with previous versions:
- Python 3.11.7
- azure-identity (version: 1.15.0)
- azure-storage-queue (version: 12.9.0)
Approach
In this section, you can find a sample code to copy all queues data between two Storage Accounts using the Azure Storage SDK for Python.
This Python sample code is based on Azure Storage SDK for Python. Please review our documentation here Quickstart: Azure Queue Storage client library for Python.
-
- azure-identity (more information here azure-identity · PyPI). To install, please run:
pip install azure-identity - azure-storage-queue (more information here azure-storage-queue · PyPI). To install, please run:
pip install azure-storage-queue
- azure-identity (more information here azure-identity · PyPI). To install, please run:
Please see below the sample code to copy all the queues data between two Azure Storage Accounts using the storage connection string.
Special note: Only queues that do not exist with the same name in the destination Storage Account will be copied.
After executing this sample code, it is expected that you will find all the queues from the source Storage Account in the destination Storage Account, as well as the data/messages from those queues.
Disclaimer:
- These steps are provided for the purpose of illustration only.
- These steps and any related information are provided "as is" without warranty of any kind, either expressed or implied, including but not limited to the implied warranties of merchantability and/or fitness for a particular purpose.
- We grant You a nonexclusive, royalty-free right to use and modify the Steps and to reproduce and distribute the steps, provided that. You agree:
- to not use Our name, logo, or trademarks to market Your software product in which the steps are embedded;
- to include a valid copyright notice on Your software product in which the steps are embedded; and
- to indemnify, hold harmless, and defend Us and Our suppliers from and against any claims or lawsuits, including attorneys’ fees, that arise or result from the use or distribution of steps.
Published on:
Learn moreRelated posts
IntelePeer supercharges its agentic AI platform with Azure Cosmos DB
Reducing latency by 50% and scaling intelligent CX for SMBs This article was co-authored by Sergey Galchenko, Chief Technology Officer, Intele...
From Real-Time Analytics to AI: Your Azure Cosmos DB & DocumentDB Agenda for Microsoft Ignite 2025
Microsoft Ignite 2025 is your opportunity to explore how Azure Cosmos DB, Cosmos DB in Microsoft Fabric, and DocumentDB power the next generat...
Episode 414 – When the Cloud Falls: Understanding the AWS and Azure Outages of October 2025
Welcome to Episode 414 of the Microsoft Cloud IT Pro Podcast.This episode covers the major cloud service disruptions that impacted both AWS an...
Now Available: Sort Geospatial Query Results by ST_Distance in Azure Cosmos DB
Azure Cosmos DB’s geospatial capabilities just got even better! We’re excited to announce that you can now sort query results by distanc...
Query Advisor for Azure Cosmos DB: Actionable insights to improve performance and cost
Azure Cosmos DB for NoSQL now features Query Advisor, designed to help you write faster and more efficient queries. Whether you’re optimizing ...
Azure Developer CLI: Azure Container Apps Dev-to-Prod Deployment with Layered Infrastructure
This post walks through how to implement “build once, deploy everywhere” patterns using Azure Container Apps with the new azd publ...