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SQLite、複数クライアントからの同時書き込みを可能にする「BEGIN CONCURRENT」文を実装へ SQLiteの開発チームは、複数クライアントからの同時書き込みを可能にするBEGIN CONCURRENT文を実装していることを明らかにしました。 これまでSQLiteでは書き込みの同時実行はできず、つねに1つのクライアントだけが書き込み可能でした。 同時書き込み処理は、データベースのジャーナルモードが「wal」（Write-Ahead-log）もしくはwalを改良した「wal2」で、BEGIN CONCURRENT文を実行した場合に可能となります。 どのように同時書き込み処理が行われるのかについては、上記のWebページの説明を引用しましょう。 ロックが延期されることで同時書き込みが可能に まず、書き込み時のロックがCOMMITまで延期されることで同時書き込みが実現されると説明されて
SQLite performance tuningScaling SQLite databases to many concurrent readers and multiple gigabytes while maintaining 100k SELECTs per second Jun 26, 2020 • Last Update Jul 31, 2022SQLite is an embedded SQL database. It’s extremely easy to setup, buildable as a single C file with libraries existing for basically all common programming languages. It doesn’t need any server setup or configuration si
A NAT Gateway enables instances in a private subnet to connect to services outside the subnet using the IP address associated with the NAT Gateway. Prior to this launch, you could associate one IP address to your NAT Gateway which supports 55,000 concurrent connections to a unique destination. A unique destination is identified by a unique combination of destination IP address, the destination por
In this blog post, I delve into the comparison of memory consumption between asynchronous and multi-threaded programming across popular languages like Rust, Go, Java, C#, Python, Node.js and Elixir. Some time ago I had to compare performance of a few computer programs designed to handle a large number of network connections. I saw huge differences in memory consumption of those programs, even exce
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Linux 6.8 Network Optimizations Can Boost TCP Performance For Many Concurrent Connections By ~40% Written by Michael Larabel in Linux Networking on 9 January 2024 at 02:23 PM EST. 76 Comments Beyond the usual new wired/wireless network hardware support and the other routine churn in the big Linux networking subsystem, the Linux 6.8 kernel is bringing some key improvements to the core networking co
React で開発が進められている Concurrent Mode。 まだリリース前の開発中の機能だが、「実験的機能」として提供されており、Experimentalビルドをインストールすることで利用できる。 Experimentalはリリース間の安定性を何も保証しておらず、破壊的変更が行われる可能性がある。Concurrent Mode の動作も、大きく変わる可能性がある。 記事のタイトルに「2020年12月版」と入れたのは、そのため。 公式ドキュメントでは「並列モード」と翻訳されているが、まさに、並列的にレンダリングを行えるようになる。 ネットワークからデータを取得して要素をレンダリングする際に、ユーザーに見えないところで新しいレンダリングの準備をしつつ、データが取得できるまでは古いレンダリングを表示しておく、といったことが可能になる。 この記事では、どういった仕組みでそのようなことが可
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Properly Testing Concurrent Data Structures Jul 5, 2024 There’s a fascinating Rust library, loom, which can be used to thoroughly test lock-free data structures. I always wanted to learn how it works. I still do! But recently I accidentally implemented a small toy which, I think, contains some of the loom’s ideas, and it seems worthwhile to write about that. The goal here isn’t to teach you what y
This article was discussed on Hacker News. While considering concurrent queue design I came up with a generic, lock-free queue that fits in a 32-bit integer. The queue is “generic” in that a single implementation supports elements of any arbitrary type, despite an implementation in C. It’s lock-free in that there is guaranteed system-wide progress. It can store up to 32,767 elements at a time — mo
Slack has a global customer base, with millions of simultaneously connected users at peak times. Most of the communication between users involves sending lots of tiny messages to each other. For much of Slack’s history, we’ve used HAProxy as a load balancer for all incoming traffic. Today, we’ll talk about problems we faced with HAProxy, how we solved them with Envoy Proxy, the steps involved in t
データフェッチで考えられるシナリオ パラメータ無しのGET パラメータ有りのGET キャッシュ保持 キャッシュのinvalidate キャッシュしたデータに対するモデリング ReduxでいうcreateEntityAdapter的な プリフェッチ(+並行リクエスト) SSR対応 APIコールを行わずに初期値を渡せる 最大要件とインタフェースはReact Queryを参考にする すごいオプションあるけど実際に作ってて欲しくなるのは以下 onStart onEnd onSuccess onError refetchOnMount( or staleTime) また、ユーザー体験の観点で以下の要件を満たせると良い 楽観的UI Suspendせずにリフェッチ可能 (画面のチラつき防止) こうして考えたときにReact Queryはほぼ全ての要求を満たしていてさすがだと思う。 キャッシュも効くのでR
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AI & MLLearn about artificial intelligence and machine learning across the GitHub ecosystem and the wider industry. Generative AILearn how to build with generative AI. GitHub CopilotChange how you work with GitHub Copilot. LLMsEverything developers need to know about LLMs. Machine learningMachine learning tips, tricks, and best practices. How AI code generation worksExplore the capabilities and be
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Concurrent Python made simple Pyper is a flexible framework for concurrent and parallel data-processing, based on functional programming patterns. Used for 🔀 ETL Systems, ⚙️ Data Microservices, and 🌐 Data Collection See the Documentation Key features: 💡Intuitive API: Easy to learn, easy to think about. Implements clean abstractions to seamlessly unify threaded, multiprocessed, and asynchronous
Does SQLite3 safely handle concurrent access by multiple processes reading/writing from the same DB? Are there any platform exceptions to that?
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by Matthew Plant Scheme to the Spec (in Async Rust) Scheme to the Spec is a series on the more complex, often overlooked aspects of programming language implementation. In this series we will dive deep into my work-in-progress implementation of R6RS scheme, scheme-rs, an implementation designed to integrate seamlessly with the async-rust ecosystem. Our first article discusses how to implement Garb
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Overview Usually, SQLite allows at most one writer to proceed concurrently. The BEGIN CONCURRENT enhancement allows multiple writers to process write transactions simultanously if the database is in "wal" or "wal2" mode, although the system still serializes COMMIT commands. When a write-transaction is opened with "BEGIN CONCURRENT", actually locking the database is deferred until a COMMIT is execu
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はじめに 現在(2022年1月14日)ではReact18のConcurrent RenderingはExperimentalな機能なので、リリースされるころには変わっている可能性がありますが、素振りやコンセプトは体験しておこうと思いまして、GitHubのユーザ検索を作ってみることにしました React18のConcurrent Renderingの概要はこちらを参考にしました。大変わかりやすい説明で感謝です。 ReactのSuspense対応非同期処理を手書きするハンズオン 公式はこちらになります サスペンスを使ったデータ取得（実験的機能） – React サンプルを簡単につくるために、Next.jsを使っています。素のReactでも良いんですが、Routerやらビルド周りを設定するのが面倒なので今回はNext.jsで作ります。 手順 Next.jsのTypeScriptでのプロジェクトを
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