azure-storage-blob-rust

$npx mdskill add microsoft/skills/azure-storage-blob-rust

Upload and manage Azure Blob Storage blobs in Rust applications

  • Automatically upload and download files to Azure Blob Storage using Rust.
  • Depends on `azure_storage_blob`, `azure_identity`, `azure_core`, and `tokio` crates.
  • Decides operations based on user-defined parameters such as blob names, container names, and authentication settings.
  • Delivers results through API calls and returns status codes for successful uploads/downloads.

SKILL.md

.github/skills/azure-storage-blob-rustView on GitHub ↗
---
name: azure-storage-blob-rust
description: |
  Azure Blob Storage library for Rust. Upload, download, and manage blobs and containers.
  Triggers: "blob storage rust", "BlobClient rust", "upload blob rust", "download blob rust", "storage container rust", "BlobServiceClient rust".
license: MIT
metadata:
  author: Microsoft
  package: azure_storage_blob
---

# Azure Blob Storage library for Rust

Client library for Azure Blob Storage — upload, download, and manage blobs and containers.

Use this skill when:

- An app needs to upload or download blobs from Azure Storage in Rust
- You need to create or manage blob containers
- You need to list blobs with pagination
- You need RBAC-based auth for blob operations

> **IMPORTANT:** Only use the official `azure_storage_blob` crate published by the [azure-sdk](https://crates.io/users/azure-sdk) crates.io user. Do NOT use the unofficial `azure_storage`, `azure_storage_blobs`, or `azure_sdk_for_rust` community crates. Official crates use underscores in names and none have version 0.21.0.

## Installation

```sh
cargo add azure_storage_blob azure_identity azure_core tokio futures
```

> If your code uses `azure_core` types directly (for example, `azure_core::http::Url` or `azure_core::http::RequestContent`), add `azure_core` to `Cargo.toml`. If you only use `azure_storage_blob` re-exports, direct `azure_core` dependency is optional.

## Environment Variables

```bash
AZURE_STORAGE_ENDPOINT=https://<account>.blob.core.windows.net/ # Required for all operations
```

## Authentication

```rust
use azure_core::http::Url;
use azure_identity::DeveloperToolsCredential;
use azure_storage_blob::BlobServiceClient;

#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
    // Local dev: DeveloperToolsCredential. Production: use ManagedIdentityCredential.
    let credential = DeveloperToolsCredential::new(None)?;
    let service_url = Url::parse("https://<storage_account_name>.blob.core.windows.net/")?;
    let service_client = BlobServiceClient::new(
        service_url,
        Some(credential),
        None,
    )?;

    // Derive container and blob clients by name.
    let container_client = service_client.blob_container_client("<container_name>");
    let blob_client = container_client.blob_client("<blob_name>");
    Ok(())
}
```

## Client Types

| Client                | Purpose                                   |
| --------------------- | ----------------------------------------- |
| `BlobServiceClient`   | Account-level operations, list containers |
| `BlobContainerClient` | Container operations, list blobs          |
| `BlobClient`          | Individual blob operations                |

## Core Workflow

### Upload Blob

```rust
use azure_core::http::{RequestContent, Url};
use azure_identity::DeveloperToolsCredential;
use azure_storage_blob::BlobServiceClient;

#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
    // Local dev: DeveloperToolsCredential. Production: use ManagedIdentityCredential.
    let credential = DeveloperToolsCredential::new(None)?;
    let service_url = Url::parse("https://<storage_account_name>.blob.core.windows.net/")?;
    let service_client = BlobServiceClient::new(service_url, Some(credential), None)?;
    let blob_client = service_client.blob_client("<container_name>", "<blob_name>");

    let data = b"hello world";
    blob_client.upload(RequestContent::from(data.to_vec()), None).await?;
    Ok(())
}
```

### Download Blob / Get Properties

```rust
// Get blob properties
let props = blob_client.get_properties(None).await?;

// Download blob content
let response = blob_client.download(None).await?;
let content = String::from_utf8(response.body.collect().await?.into())?;
```

### Delete Blob

```rust
blob_client.delete(None).await?;
```

### Container Operations

```rust
use azure_core::http::Url;
use azure_identity::DeveloperToolsCredential;
use azure_storage_blob::BlobServiceClient;
use futures::TryStreamExt as _;

let credential = DeveloperToolsCredential::new(None)?;
let service_url = Url::parse("https://<storage_account_name>.blob.core.windows.net/")?;
let service_client = BlobServiceClient::new(service_url, Some(credential), None)?;
let container_client = service_client.blob_container_client("<container_name>");

// Create container
container_client.create(None).await?;

// List blobs (Pager<T> — iterate items directly)
let mut pager = container_client.list_blobs(None)?;
while let Some(blob) = pager.try_next().await? {
    println!("Blob: {:?}", blob.name);
}
```

## Error Handling

Use `StorageError` for programmatic access to storage-specific error codes:

```rust
use azure_core::error::ErrorKind;
use azure_storage_blob::StorageError;
use azure_storage_blob::models::StorageErrorCode;

let result = blob_client.download(None).await;

match result {
    Ok(response) => {
        let content: Vec<u8> = response.body.collect().await?.into();
        println!("Downloaded {} bytes", content.len());
    }
    Err(error) => {
        if matches!(error.kind(), ErrorKind::HttpResponse { .. }) {
            // Convert to StorageError for programmatic access
            let storage_error: StorageError = error.try_into()?;
            println!("HTTP Status: {}", storage_error.status_code);

            if let Some(error_code) = &storage_error.error_code {
                match error_code {
                    StorageErrorCode::BlobNotFound => {
                        println!("The blob does not exist.");
                    }
                    StorageErrorCode::ContainerNotFound => {
                        println!("The container does not exist.");
                    }
                    StorageErrorCode::AuthorizationFailure => {
                        println!("Authorization failed. Check RBAC roles.");
                    }
                    _ => println!("Storage error: {error_code}"),
                }
            }

            if let Some(request_id) = &storage_error.request_id {
                println!("Request ID (for Azure support): {request_id}");
            }
        } else {
            println!("Non-HTTP error: {:?}", error);
        }
    }
}
```

> **Note:** `StorageError::try_into` requires an owned error object — it will not compile if handed a reference to an error.

## RBAC Roles

For Entra ID auth, assign one of these roles to the identity:

| Role                            | Access                     |
| ------------------------------- | -------------------------- |
| `Storage Blob Data Reader`      | Read-only                  |
| `Storage Blob Data Contributor` | Read/write                 |
| `Storage Blob Data Owner`       | Full access including RBAC |

## Best Practices

1. **Use `cargo add` to manage dependencies, never edit `Cargo.toml` directly.** Add and remove Rust SDK dependencies with cargo commands instead of manual manifest edits.
2. **Add `azure_core` only when importing `azure_core` types directly.** If your code imports `azure_core::http::Url`, `azure_core::http::RequestContent`, or `azure_core::error::ErrorKind`, include `azure_core`; otherwise a direct dependency is optional.
3. **Use `DeveloperToolsCredential`** for local dev, **`ManagedIdentityCredential`** for production — Rust does not provide a single `DefaultAzureCredential` type
4. **Never hardcode credentials** — use environment variables or managed identity
5. **Use `RequestContent::from()`** to wrap data for blob uploads — ensures proper content handling by the SDK
6. **Assign RBAC roles** — ensure "Storage Blob Data Contributor" for write access
7. **Reuse clients** — clients are thread-safe; create once, share across tasks
8. **Prefer `BlobServiceClient` as the entry point** and derive container/blob clients from it

## Reference Links

| Resource      | Link                                                                                 |
| ------------- | ------------------------------------------------------------------------------------ |
| API Reference | https://docs.rs/crate/azure_storage_blob/latest                                      |
| crates.io     | https://crates.io/crates/azure_storage_blob                                          |
| Source Code   | https://github.com/Azure/azure-sdk-for-rust/tree/main/sdk/storage/azure_storage_blob |

More from microsoft/skills

SkillDescription
agent-framework-azure-ai-pyBuild Azure AI Foundry agents using the Microsoft Agent Framework Python SDK (agent-framework-azure-ai). Use when creating persistent agents with AzureAIAgentsProvider, using hosted tools (code interpreter, file search, web search), integrating MCP servers, managing conversation threads, or implementing streaming responses. Covers function tools, structured outputs, and multi-tool agents.
airunway-aks-setupSet up AI Runway on AKS — from bare cluster to running model. Covers cluster verification, controller install, GPU assessment, provider setup, and first deployment. WHEN: \"setup AI Runway\", \"onboard AKS cluster\", \"install AI Runway\", \"airunway setup\", \"deploy model to AKS\", \"GPU inference on AKS\", \"KAITO setup on AKS\", \"run LLM on AKS\", \"vLLM on AKS\", \"set up model serving on AKS\", \"AI Runway controller\".
appinsights-instrumentationGuidance for instrumenting webapps with Azure Application Insights. Provides telemetry patterns, SDK setup, and configuration references. WHEN: how to instrument app, App Insights SDK, telemetry patterns, what is App Insights, Application Insights guidance, instrumentation examples, APM best practices.
applicationinsights-web-tsInstrument browser/web apps with the Application Insights JavaScript SDK (@microsoft/applicationinsights-web). Use for Real User Monitoring (RUM) — page views, clicks, AJAX/fetch dependencies, exceptions, custom events, and browser-side GenAI agent traces correlated to backend OpenTelemetry traces. Covers SDK Loader Script and npm setup, framework extensions (React, React Native, Angular), Click Analytics, telemetry initializers, and OTel GenAI semantic conventions for agent/tool/model spans emitted from the browser.
azure-aiUse for Azure AI: Search, Speech, OpenAI, Document Intelligence. Helps with search, vector/hybrid search, speech-to-text, text-to-speech, transcription, OCR. WHEN: AI Search, query search, vector search, hybrid search, semantic search, speech-to-text, text-to-speech, transcribe, OCR, convert text to speech.
azure-ai-agents-persistent-dotnet|
azure-ai-agents-persistent-java|
azure-ai-anomalydetector-javaBuild anomaly detection applications with Azure AI Anomaly Detector SDK for Java. Use when implementing univariate/multivariate anomaly detection, time-series analysis, or AI-powered monitoring.
azure-ai-contentsafety-javaBuild content moderation applications with Azure AI Content Safety SDK for Java. Use when implementing text/image analysis, blocklist management, or harm detection for hate, violence, sexual content, and self-harm.
azure-ai-contentsafety-py|