# sql.js
**Repository Path**: mirrors_zhouchangxun/sql.js
## Basic Information
- **Project Name**: sql.js
- **Description**: SQLite compiled to JavaScript through Emscripten
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No
## Statistics
- **Stars**: 0
- **Forks**: 0
- **Created**: 2021-01-07
- **Last Updated**: 2026-05-17
## Categories & Tags
**Categories**: Uncategorized
**Tags**: None
## README
# SQLite compiled to javascript
[](http://travis-ci.org/kripken/sql.js)
For the impatients, try the demo here: http://kripken.github.io/sql.js/GUI/
sql.js is a port of SQLite to JavaScript, by compiling the SQLite C code with Emscripten.
no C bindings or node-gyp compilation here.
SQLite is public domain, sql.js is MIT licensed.
## Documentation
A [full documentation](http://kripken.github.io/sql.js/documentation/#http://kripken.github.io/sql.js/documentation/class/Database.html) generated from comments inside the source code, is available.
## Usage
```javascript
var sql = require('sql.js');
// or sql = window.SQL if you are in a browser
// Create a database
var db = new sql.Database();
// NOTE: You can also use new sql.Database(data) where
// data is an Uint8Array representing an SQLite database file
// Execute some sql
sqlstr = "CREATE TABLE hello (a int, b char);";
sqlstr += "INSERT INTO hello VALUES (0, 'hello');"
sqlstr += "INSERT INTO hello VALUES (1, 'world');"
db.run(sqlstr); // Run the query without returning anything
var res = db.exec("SELECT * FROM hello");
/*
[
{columns:['a','b'], values:[[0,'hello'],[1,'world']]}
]
*/
// Prepare an sql statement
var stmt = db.prepare("SELECT * FROM hello WHERE a=:aval AND b=:bval");
// Bind values to the parameters and fetch the results of the query
var result = stmt.getAsObject({':aval' : 1, ':bval' : 'world'});
console.log(result); // Will print {a:1, b:'world'}
// Bind other values
stmt.bind([0, 'hello']);
while (stmt.step()) console.log(stmt.get()); // Will print [0, 'hello']
// You can also use javascript functions inside your SQL code
// Create the js function you need
function add(a, b) {return a+b;}
// Specifies the SQL function's name, the number of it's arguments, and the js function to use
db.create_function("add_js", add);
// Run a query in which the function is used
db.run("INSERT INTO hello VALUES (add_js(7, 3), add_js('Hello ', 'world'));"); // Inserts 10 and 'Hello world'
// free the memory used by the statement
stmt.free();
// You can not use your statement anymore once it has been freed.
// But not freeing your statements causes memory leaks. You don't want that.
// Export the database to an Uint8Array containing the SQLite database file
var binaryArray = db.export();
```
## Demo
There is an online demo available here : http://kripken.github.io/sql.js/GUI
## Examples
The test files provide up to date example of the use of the api.
### Inside the browser
#### Example **HTML** file:
```html
```
#### Creating a database from a file choosen by the user
`SQL.Database` constructor takes an array of integer representing a database file as an optional parameter.
The following code uses an HTML input as the source for loading a database:
```javascript
dbFileElm.onchange = function() {
var f = dbFileElm.files[0];
var r = new FileReader();
r.onload = function() {
var Uints = new Uint8Array(r.result);
db = new SQL.Database(Uints);
}
r.readAsArrayBuffer(f);
}
```
See : http://kripken.github.io/sql.js/GUI/gui.js
#### Loading a database from a server
```javascript
var xhr = new XMLHttpRequest();
xhr.open('GET', '/path/to/database.sqlite', true);
xhr.responseType = 'arraybuffer';
xhr.onload = function(e) {
var uInt8Array = new Uint8Array(this.response);
var db = new SQL.Database(uInt8Array);
var contents = db.exec("SELECT * FROM my_table");
// contents is now [{columns:['col1','col2',...], values:[[first row], [second row], ...]}]
};
xhr.send();
```
See: https://github.com/kripken/sql.js/wiki/Load-a-database-from-the-server
### Use from node.js
`sql.js` is [hosted on npm](https://www.npmjs.org/package/sql.js). To install it, you can simply run `npm install sql.js`.
Alternatively, you can simply download the file `sql.js`, from the download link below.
#### read a database from the disk:
```javascript
var fs = require('fs');
var SQL = require('sql.js');
var filebuffer = fs.readFileSync('test.sqlite');
// Load the db
var db = new SQL.Database(filebuffer);
```
#### write a database to the disk
You need to convert the result of `db.export` to a buffer
```javascript
var fs = require("fs");
// [...] (create the database)
var data = db.export();
var buffer = new Buffer(data);
fs.writeFileSync("filename.sqlite", buffer);
```
See : https://github.com/kripken/sql.js/blob/master/test/test_node_file.js
### Use as web worker
If you don't want to run CPU-intensive SQL queries in your main application thread,
you can use the *more limited* WebWorker API.
You will need to download `worker.sql.js`
Example:
```html
```
See : https://github.com/kripken/sql.js/blob/master/test/test_worker.js
## Downloads
- You can download `sql.js` here : https://raw.githubusercontent.com/kripken/sql.js/master/js/sql.js
- And the Web Worker version: https://raw.githubusercontent.com/kripken/sql.js/master/js/worker.sql.js
- You can find a non minified or optimized version for debugging, `sql-debug.js` here : https://raw.githubusercontent.com/kripken/sql.js/master/js/sql-debug.js
- If you see the message, `Cannot enlarge memory arrays`, try this version, `sql-memory-growth.js` here : https://raw.githubusercontent.com/kripken/sql.js/master/js/sql-memory-growth.js
## Related
* [In-Browser/Client-Side Demo](http://kripken.github.io/sql.js/GUI/)