본문으로 건너뛰기
cccskills
무료GitHub에 공개

azure-storage-queue-rust

Azure Queue Storage library for Rust. Send, receive, and manage queue messages. Triggers: "queue storage rust", "QueueClient rust", "send message rust", "receive messages rust", "QueueServiceClient rust", "queue rust".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

연동 도구Azure
설치 방법 보기

포함된 파일(1)

  • SKILL.md7.4 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

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

리뷰

아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.

댓글

로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.

아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.

보내면 바로 공개됩니다. 이메일 주소나 전화번호 같은 개인 정보는 쓰지 마세요. URL은 2개까지입니다.

0 / 1,000자

이 양식은 reCAPTCHA로 보호되며 Google 개인정보처리방침 및 서비스 약관이 적용됩니다.

같은 저장소의 스킬

Build 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.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

microsoft/skills3.1천2026년 10월 18일 업데이트

Set 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".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

microsoft/skills3.1천2026년 10월 18일 업데이트

Diagnose Day-2 AKS GPU and KAITO incidents using profile-aware, read-only evidence. WHEN: 'Insufficient nvidia.com/gpu', GPU pod Pending, model-load OOM, DCGM/VRAM, KAITO Workspace not ready, or GPU autoscaling. DO NOT USE FOR: setup (airunway-aks-setup), non-GPU incidents (aks-troubleshooting), standalone VM quota (azure-quotas), or generic cost (cost-analysis or cost-optimization from the optional azure-cost plugin).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

microsoft/skills3.1천2026년 10월 18일 업데이트

Lookup documented AKS fixes only when the prompt includes an exact catalog signature and all of its qualifiers: VMCannotFitEphemeralOSDisk; NodePoolMcVersionIncompatible; 'NodeImageVersion is not accepted'; AKS SkuNotAvailable with size, location, and zone; ZonalAllocationFailed with insufficient zone capacity; OverconstrainedAllocationRequest with listed constraints; nested AKS vmssCSE/CSE VMExtensionError_OutboundConnFail, VMExtensionError_K8SAPIServerConnFail, or VMExtensionError_K8SAPIServerDNSLookupFail; or AllocationFailed with the full cataloged internal-error or insufficient-regional-capacity message. Never use for quota errors, code-only or bare wrappers, generic symptoms, incomplete signatures, or failures outside AKS; use aks-troubleshooting or azure-diagnostics.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

microsoft/skills3.1천2026년 10월 18일 업데이트

Collects bounded packet captures from AKS nodes and Azure network configuration for wire-level evidence. WHEN: "capture packets on an AKS node", "take a pcap", "run tcpdump on AKS", "prove where packets drop". Use for explicit packet-capture intent after read-only diagnostics, not general AKS connectivity or ingress troubleshooting.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

microsoft/skills3.1천2026년 10월 18일 업데이트

Debug live Azure Kubernetes Service (AKS) incidents with a read-only, evidence-first investigation. WHEN: pod crashes or Pending, CrashLoopBackOff, OOMKilled, ImagePullBackOff, node NotReady, DNS or ingress failure, connectivity timeout, network policy, SNAT exhaustion, node-pool scaling blocked by QuotaExceeded or InsufficientVCPUQuota, upgrade stuck, spot or zone disruption, a bare VMExtensionProvisioningError or AllocationFailed wrapper, an uncataloged capacity symptom, or 'investigate my AKS cluster'. DO NOT USE FOR: packet capture (use aks-network-capture); GPU or model-serving issues (use aks-gpu-inference); cluster creation or provisioning (use azure-kubernetes); cost (use cost-analysis from the optional azure-cost plugin); pod rightsizing (use azure-kubernetes); a fully qualified documented AKS signature with every required nested qualifier (use aks-known-issues); standalone failures on non-AKS Azure resources (use azure-diagnostics). Unqualified errors and open-ended incidents stay here only for AKS.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

microsoft/skills3.1천2026년 10월 18일 업데이트

microsoft의 스킬 모두 보기

이 스킬의 문제 신고