advantages of using SQLjs over SQLite native in NodeJS
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评估
- 难度
- 5/5
- 预计耗时
- 一周以上
- 新手友好度
- 20/100
- Issue 类型
- 文档
- 描述清晰度
- 需要澄清
- 活跃度
- 停滞
- 技术栈
- javascript, node.js, sqlite, wasm
调研方向
Start with the homepage guidance and the NodeJS example mentioned in the issue, then compare the documented SQL.js and native SQLite usage paths. Done means the project has a clear, evidence-backed explanation of the trade-offs, including file loading and performance.
由索引模型根据 Issue 内容生成。
描述
Hi,
Thanks for this project, it's very useful.
I see in the homepage of SQLjs that it's recommended to use SQLite native if using server-side NodeJS code.
However there is an example of using SQLjs with NodeJS.
Comparing the two options, I see several advantages to using SQLjs with NodeJS:
- Same database interface, if needing both server-side and client-side database
- Easier to test and migrate: can first develop all client-side code and easily move database to server for production uses.
- It's easier and faster to use in-memory database with SQLjs. SQLjs can load the database file directly into memory. With SQLite native what I see is that it's possible to make only an empty in-memory database and populate it with SQL commands (which will take time to run).
The only downside I see is that Emscripten code is usually at 50-60% of the performance of native code. So SQLjs is slower (how much?).
Is my reasoning correct?
Especially regarding point #3 - I couldn't find a viable solution to load the file into memory with SQLite native (fast), while SQLjs can easily do this.
Thanks
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