pythonã®FastAPIã¯ã€ã€Œé«˜é€Ÿ: NodeJS ã‚„ Go 並ã¿ã®ã¨ã¦ã‚‚高ã„パフォーマンスã€ã¨ã‚ã‚Šã¾ã™ãŒã€ãªãœé€Ÿã„ã®ã§ã—ょã†ã‹ï¼Ÿ
å›žç” (2件ä¸ã®1件目) æ°—ã«ãªã£ãŸã®ã§èª¿ã¹ã¦ã¿ã¾ã—ãŸã€‚ FastAPIを使ã£ãŸã“ã¨ã‚‚ç„¡ã„ã—ソースをèªã‚“ã ã‚ã‘ã§ã‚‚ãªã„ã®ã§æ›¸ã„ã¦ã‚ã‚‹ã“ã¨ãŒæ£ã—ã‘ã‚Œã°ã¨ã„ã†å‰æã§ã™ã€‚ * 高速: NodeJS ã‚„ Go 並ã¿ã®ã¨ã¦ã‚‚高ã„パフォーマンス (Starlette 㨠Pydantic ã®ãŠã‹ã’ã§ã™)。 https://fastapi.tiangolo.com/ja/#performance Starlette 㨠Pydanticã¨ã„ã†ãƒ©ã‚¤ãƒ–ラリãŒè‚ã®ã‚ˆã†ã§ã™ã。 ãã—ã¦ã€ * ASGI serverã«Uvicornã‚„Hypercornを使ã£ã¦ã„ã‚‹ãŸã‚ * * ãれらã¯uvlo...
Background Tasks in FastAPI
Before jumping into Celery. Let's start with the most straightforward tool to help us understand background tasks. FastAPI already has a BackgroundTasks class that can help us implement simple background tasks. Let's create a virtual environment to isolate our project requirements. python -m venv env Now, all we need is FastAPI and a web server e.g. Uvicorn or Hypercorn. Before installing these le
FastAPIã®"def"ã¨"async def"ã£ã¦çµå±€ã€Œã©ã£ã¡ã‚’使ãˆã°è‰¯ã„ã‚“ã˜ã‚ƒã‚ã†ï¼Ÿã€ - Qiita
ã¯ã˜ã‚ã« FastAPIを始ã‚ã¦ã¿ãŸã¨ã“ã‚ã€async/await構文ãŒã‚ã‚Šã€Pythonã«ã‚‚「async/await構文ãŒã‚ã‚‹ã‚“ã ãªãƒ¼ã€ã¨åˆã‚ã¦ãã®å˜åœ¨ã‚’知ã£ãŸã€‚ ã—ã‹ã—ã€FastAPIã®ã‚µãƒ³ãƒ—ルコードやãƒãƒƒãƒˆã§å…¬é–‹ã•ã‚Œã¦ã„るコードを見るã¨ã€async defã¨defã‚’ã©ã®ã‚ˆã†ã«ä½¿ã„分ã‘ã¦ã„ã‚‹ã®ã‹ã‚ˆãã‚ã‹ã‚‰ãšã€çµå±€ã€ã€Œã©ã£ã¡ã‚’使ãˆã°è‰¯ã„ã‚“ã˜ã‚ƒã‚ã†ï¼Ÿã€ã¨ã„ã†æ°—æŒã¡ã«ãªã£ãŸã®ã§ã€async/awaitã€åŒæœŸ / éžåŒæœŸï¼ˆä¸¦è¡Œå‡¦ç†ï¼‰ã‚’調ã¹ã¤ã¤ã€çµè«–ã‚’å°Žã„ã¦ã¿ã‚‹ã“ã¨ã«ã—ãŸã€‚ ã„ããªã‚Šçµè«– Path operation 関数ã®å ´åˆã€async defã§ã¯ãªãdefã§ã€åŸºæœ¬ã€å®Ÿè£…ã™ã‚‹ã€‚ defã ã‘ã§ã‚‚ã€å¤–部スレッドプールã§éžåŒæœŸå‡¦ç†ã•ã‚Œã‚‹ã‚ˆã†ã«ãƒ•ãƒ¬ãƒ¼ãƒ ワークã¨ã—ã¦å®Ÿè£…ã•ã‚Œã¦ã„ã‚‹ã¨ã®ã“㨠async defを使ã£ãŸæ–¹ãŒè‰¯ã„ã®ã¯ä»¥ä¸‹ã®2ケース async/awaitをサãƒãƒ¼ãƒˆã—ã¦ã„るライブラリを利用ã—ãŸ
Manage data freshness  | Looker Studio  | Google Cloud
Most data source types have a data freshness option (the exception to this is extracted data sources). This option lets you balance your need for up-to-date information against report performance and potential query costs or quotas. Each type of data source has its own default data freshness threshold, but you can adjust this threshold as needed. For example, if you are measuring ad performance on
Asynchronous programming scenarios - C#
If your code implements I/O-bound scenarios to support network data requests, database access, or file system read/writes, asynchronous programming is the best approach. You can also write asynchronous code for CPU-bound scenarios like expensive calculations. C# has a language-level asynchronous programming model that allows you to easily write asynchronous code without having to juggle callbacks
async-rendering-in-react-with-suspense-5d0eaac886c8
Async operations are common in modern web applications. Fetching data from an API, loading large components, or running computational tasks are all examples of asynchronous code that take some time to complete. In React, rendering components asynchronously can improve perceived performance by allowing certain parts of the UI to render immediately, while other parts wait on async operations. React
Reactã®æ–°æ©Ÿèƒ½ã€ŒTime Slicingã€ã¨ã€ŒSuspenseã€ã‚’FacebookãŒç´¹ä»‹ã€‚éžåŒæœŸãƒ¬ãƒ³ãƒ€ãƒªãƒ³ã‚°ã‚’活用ã—UXをサクサクã«å‘上 ï¼ Publickey
Reactã®æ–°æ©Ÿèƒ½ã€ŒTime Slicingã€ã¨ã€ŒSuspenseã€ã‚’FacebookãŒç´¹ä»‹ã€‚éžåŒæœŸãƒ¬ãƒ³ãƒ€ãƒªãƒ³ã‚°ã‚’活用ã—UXをサクサクã«å‘上 Reactã®æœ€æ–°ãƒãƒ¼ã‚¸ãƒ§ãƒ³ã§ã‚る「React 16ã€ä»¥é™ã«äºˆå®šã•ã‚Œã¦ã„る新機能ã¯ã€Reactã®æ–°ã‚³ã‚¢ã‚¢ãƒ¼ã‚テクãƒãƒ£ã¨ã—ã¦React 16ã‹ã‚‰æŽ¡ç”¨ã•ã‚ŒãŸFiberã«ã‚ˆã£ã¦å®Ÿç¾ã•ã‚Œã‚‹éžåŒæœŸãƒ¬ãƒ³ãƒ€ãƒªãƒ³ã‚°ãªã©ã‚’活用。CPU能力ãŒä½Žã„デãƒã‚¤ã‚¹ã‚„ãƒãƒƒãƒˆãƒ¯ãƒ¼ã‚¯å¸¯åŸŸãŒå分ã§ãªã„環境ã§ã‚‚サクサクåå¿œã™ã‚‹ã‚¢ãƒ—リケーションãŒé–‹ç™ºã§ãã‚‹ã‚‚ã®ã«ãªã‚‹ã¨ã€Facebookã®React開発ãƒãƒ¼ãƒ ã«åœ¨ç±ã™ã‚‹Sophie Alpertæ°ãŒReactブãƒã‚°ã«æŠ•ç¨¿ã—ãŸè¨˜äº‹ã€ŒSneak Peek: Beyond React 16 - React Blogã€ã§ç´¹ä»‹ã•ã‚Œã¦ã„ã¾ã™ã€‚ ãã®æ–°æ©Ÿèƒ½ãŒã€ŒTime Slicingã€ã¨ã€ŒSuspenseã€ã§ã™ã€‚ マウスやã‚ーボードãªã©ã®æ“作ãŒãƒ–ãƒãƒƒã‚¯ã•ã‚Œãªã„
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Reactã¯ã©ã¡ã‚‰ã‹ã¨ã„ã†ã¨éžåŒæœŸå‡¦ç†ãŒè‹¦æ‰‹ãªéƒ¨é¡žã§ã—ãŸã€‚今ã¾ã§ã¯Reduxã®middlewareを駆使ã—ãŸã‚Šã€Hooksを上手ã使ã£ãŸã‚Šã—ã¦ä¹—り切ã£ã¦ã„ã¾ã—ãŸã€‚ ãã“ã§ä»¥å‰ã‚ˆã‚ŠSuspenseã¨ã„ã†æ©Ÿèƒ½ã®å®Ÿè£…ãŒé€²ã‚“ã§ã„ã¾ã™ã€‚Suspenseã¯ã¾ã 世間ã«æµ¸é€ã—ãã£ã¦ã„ãªã„機能ã§ã™ãŒã€Reactã®ä¸–界を大ãã変ãˆã‚‹å¯èƒ½æ€§ãŒã‚ã‚Šã¾ã™ã€‚ãã‚“ãªSuspenseã«ã¤ã„ã¦ã€è»½ã覗ã„ã¦ã¿ã¾ã—ょã†ã€‚ Suspenseã®ä¸–ç•Œ Reactã§éžåŒæœŸå‡¦ç†ã‚’綺麗ã«æ‰±ã†ã®ã¯ç°¡å˜ãªã“ã¨ã§ã¯ã‚ã‚Šã¾ã›ã‚“。redux-sagaを使ã†ã«ã›ã‚ˆã€useEffectを使ã†ã«ã›ã‚ˆã€å¤§ããªç—›ã¿ã‚’ä¼´ã„ã¾ã™ã€‚ ãã‚‚ãã‚‚Reactã¯ã‚¢ãƒ—リケーションã®UI層を担当ã™ã‚‹ãƒ©ã‚¤ãƒ–リラリã§ã™ã€‚本æ¥æžœãŸã™ã¹ã責務ã«æ³¨åŠ›ã§ããšéžåŒæœŸå‡¦ç†ã®ã‚ˆã†ãªäº›äº‹ã«æ°—ã‚’å–られã€ã‚ã‚ã†ã“ã¨ã‹éžåŒæœŸå‡¦ç†ãŒReactアプリケーションã®è¨è¨ˆã«å¤§ããªå½±éŸ¿åŠ›ã‚’æŒã¡å§‹ã‚ã‚‹ã¨ã„ã†ã®ã¯ã€æœ›
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Quart documentation — Quart 0.20.0 documentation
Async SQL (Relational) Databases with Encode/Databases (deprecated) - FastAPI
Asynchronous Request-Reply pattern - Azure Architecture Center
Learn about best practices for long running operations in Azure Analysis Services
General AIPs
It just takes time. Updated guidance on Azure long-running operations.
10 Long-running operations · API Design Patterns
Power BI as a superset of Azure Analysis Services
Enhanced refresh with the Power BI REST API - Power BI
Asynchronous refresh now available in Power BI for public preview | Microsoft Power BI Blog | Microsoft Power BI
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GitHub - sm-Fifteen/asgi-server-timing-middleware
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