azure-storage-queue-rust

作者: microsoft

用于 Rust 的 Azure 队列存储库。发送、接收和管理队列消息。触发器:"queue storage rust", "QueueClient rust", "send message rust",…

npx skills add https://github.com/microsoft/skills --skill azure-storage-queue-rust

Azure Queue Storage library for Rust

Client library for Azure Queue Storage — send, receive, and manage queue messages.

Use this skill when:

  • An app needs to send or receive messages from Azure Queue Storage in Rust
  • You need to create or manage queues
  • You need to peek, receive, or delete queue messages
  • You need RBAC-based auth for queue operations

IMPORTANT: Only use the official azure_storage_queue crate published by the azure-sdk crates.io user. Do NOT use unofficial or community crates. Official crates use underscores in names and none have version 0.21.0.

Installation

cargo add azure_storage_queue azure_identity azure_core tokio

If your code uses azure_core types directly, add azure_core to Cargo.toml. If you only use azure_storage_queue re-exports, direct azure_core dependency is optional.

Environment Variables

AZURE_STORAGE_QUEUE_ENDPOINT=https://<account>.queue.core.windows.net/ # Required for all operations

Authentication

Rust Azure SDK code must not use DefaultAzureCredential. The Rust identity crate does not provide that type.

use azure_core::http::Url;
use azure_identity::DeveloperToolsCredential;
use azure_storage_queue::QueueServiceClient;

#[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>.queue.core.windows.net/")?;
    let service_client = QueueServiceClient::new(service_url, Some(credential), None)?;

    // Derive a queue client by name.
    let queue_client = service_client.queue_client("<queue_name>")?;
    Ok(())
}

Do not infer public SDK types from generated internal model names. Prefer the crate README/examples when checking queue client method signatures and message/result shapes.

Client Types

ClientPurposeAccess
QueueServiceClientAccount-level operations, list queuesQueueServiceClient::new()
QueueClientQueue operations, send/receive/deleteservice_client.queue_client("<name>")?

Core Workflow

Send a Message

use azure_core::http::Url;
use azure_identity::DeveloperToolsCredential;
use azure_storage_queue::{models::QueueMessage, QueueServiceClient};

#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
    let credential = DeveloperToolsCredential::new(None)?;
    let service_url = Url::parse("https://<storage_account_name>.queue.core.windows.net/")?;
    let service_client = QueueServiceClient::new(service_url, Some(credential), None)?;
    let queue_client = service_client.queue_client("<queue_name>")?;

    #[allow(clippy::needless_update)]
    let message = QueueMessage {
        message_text: Some("hello world".to_string()),
        ..Default::default()
    };
    queue_client.send_message(message.try_into()?, None).await?;
    Ok(())
}

Receive Messages

use azure_core::http::Url;
use azure_identity::DeveloperToolsCredential;
use azure_storage_queue::QueueServiceClient;

#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
    let credential = DeveloperToolsCredential::new(None)?;
    let service_url = Url::parse("https://<storage_account_name>.queue.core.windows.net/")?;
    let service_client = QueueServiceClient::new(service_url, Some(credential), None)?;
    let queue_client = service_client.queue_client("<queue_name>")?;

    let response = queue_client.receive_messages(None).await?;
    let messages = response.into_model()?;
    for msg in messages.items.unwrap_or_default() {
        println!("{}", msg.message_text.as_deref().unwrap_or("<empty>"));
    }
    Ok(())
}

Delete a Message

After receiving a message, delete it using the message ID and pop receipt:

let response = queue_client.receive_messages(None).await?;
let messages = response.into_model()?;
for msg in messages.items.unwrap_or_default() {
    if let (Some(id), Some(pop_receipt)) = (&msg.message_id, &msg.pop_receipt) {
        queue_client.delete_message(id, pop_receipt, None).await?;
    }
}

Peek Messages

Peek at messages without removing them from the queue:

let response = queue_client.peek_messages(None).await?;
let messages = response.into_model()?;
for msg in messages.items.unwrap_or_default() {
    println!("Peeked: {}", msg.message_text.as_deref().unwrap_or("<empty>"));
}

RBAC Roles

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

RoleAccess
Storage Queue Data ReaderRead and peek messages
Storage Queue Data ContributorRead/write messages
Storage Queue Data Message SenderSend messages only
Storage Queue Data Message ProcessorReceive and delete

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. Assign RBAC roles — ensure appropriate queue data roles for the identity
  6. Use QueueServiceClient as the entry point and derive QueueClient from it via queue_client()
  7. Delete messages after processing — use the message ID and pop receipt from receive_messages
  8. Reuse clients — clients are thread-safe; create once, share across tasks
  9. Run cargo clippy -- -D warnings when the prompt, eval, or CI expects lint-clean output
  10. Future-proof #[non_exhaustive] SDK models — end model-struct initializers (e.g. QueueMessage) with ..Default::default() (add #[allow(clippy::needless_update)]) and use a _ wildcard arm when matching SDK enums, so new service-added fields/variants don't break your build

Reference Links

ResourceLink
API Referencehttps://docs.rs/crate/azure_storage_queue/latest
crates.iohttps://crates.io/crates/azure_storage_queue
Source Codehttps://github.com/Azure/azure-sdk-for-rust/tree/main/sdk/storage/azure_storage_queue

来自 microsoft 的更多技能

oss-growth
microsoft
OSS增长黑客角色
agent-framework-azure-ai-py
microsoft
使用Microsoft Agent Framework Python SDK(agent-framework-azure-ai)构建Azure AI Foundry代理。在创建使用AzureAIAgentsProvider的持久化代理、使用托管工具(代码解释器、文件搜索、网络搜索)、集成MCP服务器、管理对话线程或实现流式响应时使用。涵盖函数工具、结构化输出和多工具代理。
development
airunway-aks-setup
microsoft
在AKS上设置AI Runway——从裸集群到运行模型。涵盖集群验证、控制器安装、GPU评估、提供商设置和首次部署。适用场景:“设置AI Runway”、“接入AKS集群”、“安装AI Runway”、“airunway设置”、“将模型部署到AKS”、“在AKS上进行GPU推理”、“在AKS上配置KAITO”、“在AKS上运行LLM”、“在AKS上使用vLLM”、“在AKS上设置模型服务”、“AI Runway控制器”。
devops
appinsights-instrumentation
microsoft
使用Azure Application Insights对Web应用进行插桩的指南。提供遥测模式、SDK设置和配置参考。适用场景:如何对应用进行插桩、App Insights SDK、遥测模式、什么是App Insights、Application Insights指南、插桩示例、APM最佳实践。
devops
applicationinsights-web-ts
microsoft
使用Application Insights JavaScript SDK(@microsoft/applicationinsights-web)为浏览器/Web应用添加检测。用于真实用户监控(RUM)——页面视图、点击、AJAX/fetch依赖项、异常、自定义事件,以及与后端OpenTelemetry追踪关联的浏览器端GenAI代理追踪。涵盖SDK加载器脚本和npm设置、框架扩展(React、React Native、Angular)、点击分析、遥测初始化器,以及从浏览器发出的代理/工具/模型跨度所遵循的OTel GenAI语义约定。
devops
azure-ai-anomalydetector-java
microsoft
使用适用于 Java 的 Azure AI 异常检测器 SDK 构建异常检测应用程序。在实现单变量/多变量异常检测、时间序列分析或 AI 驱动的监控时使用。
development
azure-ai-language-conversations-py
microsoft
使用azure-ai-language-conversations Python SDK实现对话语言理解(CLU)。当使用ConversationAnalysisClient分析对话意图和实体、构建NLP功能或将语言理解集成到应用程序中时使用。
development
azure-ai-ml-py
microsoft
Azure Machine Learning SDK v2 for Python。用于机器学习工作区、作业、模型、数据集、计算资源和管道。 触发词:“azure-ai-ml”、“MLClient”、“工作区”、“模型注册表”、“训练作业”、“数据集”。
development