jupyterlab-google-drive
sql.js-httpvfs
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jupyterlab-google-drive | sql.js-httpvfs | |
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1 | 15 | |
391 | 3,233 | |
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0.0 | 1.5 | |
10 months ago | about 1 year ago | |
TypeScript | TypeScript | |
BSD 3-clause "New" or "Revised" License | Apache License 2.0 |
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jupyterlab-google-drive
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WebVM: Server-less x86 virtual machines in the browser
Also, I'm not sure if jupyterlab/jupyterlab-google-drive works in JupyterLite yet? Is it yet possible to save notebooks and other files from JupyterLite running in WASM in the browser to one or more cloud storage providers?
https://github.com/jupyterlab/jupyterlab-google-drive
sql.js-httpvfs
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A future for SQL on the web (2021)
I couldn't find do these wrappers support read-only SQLite databases with HTTP range requests, like in this famous post [1]. Phiresky's wrapper supports it, but it seems to be rebuilding the whole sql.js [2], I'd rather have it as VFS on top of sqlite.org's own WASM module. I like the idea of HTTP range requests, but I don't want to run a fork, that will be unmaintained in few years.
[1]: https://news.ycombinator.com/item?id=27016630
[2]: https://github.com/phiresky/sql.js-httpvfs
- Cloud Backed SQLite
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Transmission 4.0.0 beta 1 is out
Oh that’s an interesting idea. I saw someone built SQLite over HTTP with the Range header: https://phiresky.github.io/blog/2021/hosting-sqlite-database...
So presumably in a similar manner as https://github.com/phiresky/sql.js-httpvfs you could map SQLite pages to leaf torrents too and get the chunking you are looking for.
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netgrep - An experimental porting of ripgrep on WASM over the HTTP protocol.
But ripgrep has to read the whole file; if your intended use case is searching a blog, I'd recommend using something which makes an index, so you don't need to download everything. For example, sql.js-httpvfs is SQLite ported to wasm, with the DB file read over HTTP. If you use FTS to make an index, it works astonishingly well for text search.
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Datasette Lite: a server-side Python web application running in a browser
How close is Python SQLite and Datasette Lite to accessing a hosted SQL database using HTTP range requests as can be done in sql.js like https://github.com/phiresky/sql.js-httpvfs?
I put together a Pyodide-based web app where users need a few indexed queries from a 600mb SQLite database but it isn't very practical for them to download the whole thing into the browser.
https://observablehq.com/@thadk/life
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Ws4sqlite: Query SQLite via HTTP
You can also access sqlite databases directly from an http server that supports range requests (like s3). There are a bunch of implementations of this in different languages including Go[0] and Javascript[1].
[0]: https://github.com/psanford/sqlite3vfshttp
[1]: https://github.com/phiresky/sql.js-httpvfs
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Static torrent website with peer-to-peer queries over BitTorrent on 2M records
Thanks to SQLite VFS abstraction, it is possible to implement your own file system on which SQLite parks data and structures. Inspired by Phiresky's sql.js-httpvfs which uses HTTP Range requests to lazy load blocks of storage from a static web server, I changed few lines of code to point the VFS read() calls to a database seeded by peers as a torrent. A 300 MiB db with 2 million records can be queried from seeders for full text searches in less than 2 MiB traffic with the BitTorrent protocol, all inside the browser, in a static website.
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WebVM: Server-less x86 virtual machines in the browser
Hosting SQLite Databases on GitHub Pages" https://news.ycombinator.com/item?id=28021766 : DuckDB can query [and page] Parquet from GitHub, sql.js-httpvfs, sqltorrent, File System Access API (Chrome only so far; IDK about resource quotas and multi-GB datasets), serverless search with WASM workers
https://github.com/phiresky/sql.js-httpvfs :
> sql.js is a light wrapper around SQLite compiled with EMScripten for use in the browser (client-side).
> This repo is a fork of and wrapper around sql.js to provide a read-only HTTP-Range-request based virtual file system for SQLite. It allows hosting an SQLite database on a static file hoster and querying that database from the browser without fully downloading it.
> The virtual file system is an emscripten filesystem with some "smart" logic to accelerate fetching with virtual read heads that speed up when sequential data is fetched. It could also be useful to other applications, the code is in lazyFile.ts. It might also be useful to implement this lazy fetching as an SQLite VFS [*] since then SQLite could be compiled with e.g. WASI SDK without relying on all the emscripten OS emulation.
- Show HN: Link-Archive.org
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Database-Less Torrent Website
It doesn't have to be range requests, you could split the file instead of depending on the range requests. Essentially it's the same as the chunking instructions for hosters who have a maximum file size as is demonstrated here: https://github.com/phiresky/sql.js-httpvfs/blob/master/creat...
What are some alternatives?
Pion WebRTC - Pure Go implementation of the WebRTC API
alasql - AlaSQL.js - JavaScript SQL database for browser and Node.js. Handles both traditional relational tables and nested JSON data (NoSQL). Export, store, and import data from localStorage, IndexedDB, or Excel.
v86 - x86 PC emulator and x86-to-wasm JIT, running in the browser
datasette - An open source multi-tool for exploring and publishing data
servefolder.dev - Serve a local folder of files in your browser for easy testing without having to run a server.
sqlite3vfshttp - Go sqlite3 http vfs: query sqlite databases over http with range headers
nabla-linux - Experimental Linux Virtual Machine based on UML and noMMU
duckdb - DuckDB is an in-process SQL OLAP Database Management System
wp-sqlite-db - A single file drop-in for using a SQLite database with WordPress. Based on the original SQLite Integration plugin.
sqltorrent
webvm - Virtual Machine for the Web
apsw - Another Python SQLite wrapper