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docz/docs/04-getting-started/03-demos/10-database.md
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docz/docs/04-getting-started/03-demos/10-database.md
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---
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sidebar_position: 9
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title: Databases
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---
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import current from '/version.js';
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import Tabs from '@theme/Tabs';
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import TabItem from '@theme/TabItem';
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## SQLite
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Most platforms offer a simple way to query `.sqlite` databases.
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The following example shows how to query for each table in an SQLite database,
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query for the data for each table, add each non-empty table to a workbook, and
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export as XLSX.
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[The Northwind database is available in SQLite form](https://github.com/jpwhite3/northwind-SQLite3/raw/master/Northwind_large.sqlite.zip).
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Download and expand the zip archive to reveal `Northwind_large.sqlite`
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<Tabs>
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<TabItem value="nodejs" label="NodeJS">
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1) Install the dependencies:
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```bash
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$ npm i --save https://cdn.sheetjs.com/xlsx-latest/xlsx-latest.tgz better-sqlite3
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```
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2) Save the following to `node.mjs`:
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```js title="node.mjs"
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/* Load SQLite3 connector library */
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import Database from "better-sqlite3";
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/* Load SheetJS library */
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import * as XLSX from 'xlsx/xlsx.mjs';
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import * as fs from 'fs';
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XLSX.set_fs(fs);
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/* Initialize database */
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var db = Database("Northwind_large.sqlite");
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/* Create new workbook */
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var wb = XLSX.utils.book_new();
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/* Get list of table names */
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var sql = db.prepare("SELECT name FROM sqlite_master WHERE type='table'");
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var result = sql.all();
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/* Loop across each name */
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result.forEach(function(row) {
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/* Get first 100K rows */
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var aoo = db.prepare("SELECT * FROM '" + row.name + "' LIMIT 100000").all();
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if(aoo.length > 0) {
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/* Create Worksheet from the row objects */
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var ws = XLSX.utils.json_to_sheet(aoo, {dense: true});
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/* Add to Workbook */
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XLSX.utils.book_append_sheet(wb, ws, row.name);
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}
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});
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/* Write File */
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XLSX.writeFile(wb, "node.xlsx");
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```
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3) Run `node node.mjs` and open `node.xlsx`
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</TabItem>
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<TabItem value="bun" label="Bun">
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1) Install the dependencies:
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```bash
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$ npm i --save https://cdn.sheetjs.com/xlsx-latest/xlsx-latest.tgz
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```
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2) Save the following to `bun.mjs`:
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```js title="bun.mjs"
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/* Load SQLite3 connector library */
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import { Database } from "bun:sqlite";
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/* Load SheetJS library */
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import * as XLSX from 'xlsx/xlsx.mjs';
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import * as fs from 'fs';
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XLSX.set_fs(fs);
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/* Initialize database */
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var db = Database.open("Northwind_large.sqlite");
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/* Create new workbook */
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var wb = XLSX.utils.book_new();
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/* Get list of table names */
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var sql = db.prepare("SELECT name FROM sqlite_master WHERE type='table'");
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var result = sql.all();
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/* Loop across each name */
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result.forEach(function(row) {
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/* Get first 100K rows */
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var aoo = db.prepare("SELECT * FROM '" + row.name + "' LIMIT 100000").all();
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if(aoo.length > 0) {
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/* Create Worksheet from the row objects */
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var ws = XLSX.utils.json_to_sheet(aoo, {dense: true});
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/* Add to Workbook */
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XLSX.utils.book_append_sheet(wb, ws, row.name);
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}
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});
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/* Write File */
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XLSX.writeFile(wb, "bun.xlsx");
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```
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3) Run `bun bun.mjs` and open `bun.xlsx`
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</TabItem>
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</Tabs>
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- [`Headless Automation`](./headless)
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- [`Other JavaScript Engines`](https://github.com/SheetJS/SheetJS/tree/master/demos/altjs/)
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- [`"serverless" functions`](https://github.com/SheetJS/SheetJS/tree/master/demos/function/)
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- [`sqlite3`](./database#sqlite)
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- [`Databases and Key/Value Stores`](https://github.com/SheetJS/SheetJS/tree/master/demos/database/)
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- [`Legacy Internet Explorer`](https://github.com/SheetJS/SheetJS/tree/master/demos/oldie/)
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import { writeFile, set_fs } from "xlsx/xlsx.mjs";
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set_fs(fs);
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/* output format determined by filename */
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writeFile(workbook, "out.xlsb");
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```
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</TabItem>
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<TabItem value="bun" label="Bun">
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As with Node ESM, `fs` must be loaded manually:
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```js
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import * as fs from "fs";
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import { writeFile, set_fs } from "xlsx/xlsx.mjs";
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set_fs(fs);
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/* output format determined by filename */
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writeFile(workbook, "out.xlsb");
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```
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**`XLSX.readFile`**
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```js
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/* using readFile in NodeJS, add `cellFormula` to the second argument */
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const workbook = XLSX.readFile("test.xlsx", { cellFormula: true });
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// -------------------------------------------^^^^^^^^^^^^^^^^^
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```
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</TabItem>
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<TabItem value="bun" label="Bun">
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Typically file data will be available as a `Buffer` from a network request / API
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or stored in the filesystem. `cellFormula: true` should be added to the second
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options argument to `read` or `readFile`:
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**`XLSX.read`**
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```js
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/* using read in NodeJS, `cellFormula` is in the second argument */
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const ab = await (await fetch("test.xlsx")).arrayBuffer();
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const workbook = XLSX.read(ab, { cellFormula: true });
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// ------------------------------^^^^^^^^^^^^^^^^^
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```
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**`XLSX.readFile`**
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```js
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/* using readFile in NodeJS, add `cellFormula` to the second argument */
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const workbook = XLSX.readFile("test.xlsx", { cellFormula: true });
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[true,false,],
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]); XLSX.utils.book_append_sheet(wb, ws, "Sheet1");
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XLSX.writeFile(wb, "textport.numbers", {numbers: XLSX_ZAHL_PAYLOAD, compression: true});
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```
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</TabItem>
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<TabItem value="bun" label="Bun">
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After installing the package:
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<pre><code parentName="pre" {...{"className": "language-bash"}}>{`\
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$ npm install --save https://cdn.sheetjs.com/xlsx-${current}/xlsx-${current}.tgz`}
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</code></pre>
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The scripts will be available at `xlsx/dist/xlsx.zahl` (CommonJS) and
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`xlsx/dist/xlsx.zahl.mjs` (ESM).
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```js
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import * as XLSX from "xlsx";
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import XLSX_ZAHL_PAYLOAD from "xlsx/dist/xlsx.zahl";
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var wb = XLSX.utils.book_new(); var ws = XLSX.utils.aoa_to_sheet([
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["SheetJS", "<3","விரிதாள்"],
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[72,,"Arbeitsblätter"],
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[,62,"数据"],
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[true,false,],
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]); XLSX.utils.book_append_sheet(wb, ws, "Sheet1");
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XLSX.writeFile(wb, "textport.numbers", {numbers: XLSX_ZAHL_PAYLOAD, compression: true});
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```
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</TabItem>
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`make ctest` will generate the browser fixtures. To add more files, edit the
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`tests/fixtures.lst` file and add the paths.
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</TabItem>
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<TabItem value="bun" label="Bun">
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`make test-bun` will run the full Bun test suite and `make test-bun_misc`
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will run the smaller feature-specific tests.
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</TabItem>
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<TabItem value="deno" label="Deno">
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```bash
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curl -fsSL https://deno.land/install.sh | sh
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```
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5) (For Bun testing) Install Bun:
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```bash
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curl https://bun.sh/install | bash
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```
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</TabItem>
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