--- title: HTTP Server Processing --- import current from '/version.js'; Server-Side JS platforms like NodeJS and Deno have built-in APIs for listening on network interfaces. They provide wrappers for requests and responses. ## Overview #### Reading Data Typically servers receive form data with content type `multipart/form-data` or `application/x-www-form-urlencoded`. The platforms themselves typically do not provide "body parsing" functions, instead leaning on the community to supply modules to take the encoded data and split into form fields and files. NodeJS servers typically use a parser like `formidable`. In the example below, `formidable` will write to file and `XLSX.readFile` will read the file: ```js var XLSX = require("xlsx"); // This is using the CommonJS build var formidable = require("formidable"); require("http").createServer(function(req, res) { if(req.method !== "POST") return res.end(""); /* parse body and implement logic in callback */ // highlight-next-line (new formidable.IncomingForm()).parse(req, function(err, fields, files) { /* if successful, files is an object whose keys are param names */ // highlight-next-line var file = files["upload"]; // /* file.path is a location in the filesystem, usually in a temp folder */ // highlight-next-line var wb = XLSX.readFile(file.filepath); // print the first worksheet back as a CSV res.end(XLSX.utils.sheet_to_csv(wb.Sheets[wb.SheetNames[0]])); }); }).listen(process.env.PORT || 3000); ``` `XLSX.read` will accept NodeJS buffers as well as `Uint8Array`, Base64 strings, binary strings, and plain Arrays of bytes. This covers the interface types of a wide variety of frameworks. #### Writing Data Typically server libraries use a response API that accepts `Uint8Array` data. `XLSX.write` with the option `type: "buffer"` will generate data. To force the response to be treated as an attachment, set the `Content-Disposition` header: ```js var XLSX = require("xlsx"); // This is using the CommonJS build require("http").createServer(function(req, res) { if(req.method !== "GET") return res.end(""); var wb = XLSX.read("S,h,e,e,t,J,S\n5,4,3,3,7,9,5", {type: "binary"}); // highlight-start res.setHeader('Content-Disposition', 'attachment; filename="SheetJS.xlsx"'); res.end(XLSX.write(wb, {type:"buffer", bookType: "xlsx"})); // highlight-end }).listen(process.env.PORT || 3000); ``` ## Deno :::caution Many hosted services like Deno Deploy do not offer filesystem access. This breaks web frameworks that use the filesystem in body parsing. ::: Deno provides the basic elements to implement a server. It does not provide a body parser out of the box. #### Drash In testing, [Drash](https://drash.land/drash/) had an in-memory body parser which could handle file uploads on hosted services like Deno Deploy. _Reading Data_ `Request#bodyParam` reads body parameters. For uploaded files, the `content` property is a `Uint8Array`: ```ts // @deno-types="https://cdn.sheetjs.com/xlsx-latest/package/types/index.d.ts" import { read, utils } from 'https://cdn.sheetjs.com/xlsx-latest/package/xlsx.mjs'; import * as Drash from "https://deno.land/x/drash@v2.5.4/mod.ts"; class ParseResource extends Drash.Resource { public paths = ["/"]; public POST(request: Drash.Request, response: Drash.Response) { // assume a form upload like // highlight-next-line const file = request.bodyParam("upload"); if (!file) throw new Error("File is required!"); // highlight-next-line var wb = read(file.content); return response.html( utils.sheet_to_html(wb.Sheets[wb.SheetNames[0]])); } } ``` _Writing Data_ Headers are manually set with `Response#headers.set` while the raw body is set with `Response#send`: ```ts // @deno-types="https://cdn.sheetjs.com/xlsx-latest/package/types/index.d.ts" import { utils, write } from 'https://cdn.sheetjs.com/xlsx-latest/package/xlsx.mjs'; import * as Drash from "https://deno.land/x/drash@v2.5.4/mod.ts"; class WriteResource extends Drash.Resource { public paths = ["/export"]; public GET(request: Drash.Request, response: Drash.Response): void { // create some fixed workbook const data = ["SheetJS".split(""), [5,4,3,3,7,9,5]]; const ws = utils.aoa_to_sheet(data); const wb = utils.book_new(); utils.book_append_sheet(wb, ws, "data"); // write the workbook to XLSX as a Uint8Array // highlight-next-line const file = write(wb, { bookType: "xlsx", type: "buffer"}); // set headers response.headers.set("Content-Disposition", 'attachment; filename="SheetJSDrash.xlsx"'); // send data // highlight-next-line return response.send("application/vnd.ms-excel", file); } } ```
Complete Example (click to show) 1) Save the following script to `SheetJSDrash.ts`: ```ts title="SheetJSDrash.ts" /*! sheetjs (C) 2013-present SheetJS -- https://sheetjs.com */ // @deno-types="https://cdn.sheetjs.com/xlsx-latest/package/types/index.d.ts" import { read, utils, set_cptable } from 'https://cdn.sheetjs.com/xlsx-latest/package/xlsx.mjs'; import * as cptable from 'https://cdn.sheetjs.com/xlsx-latest/package/dist/cpexcel.full.mjs'; set_cptable(cptable); import * as Drash from "https://deno.land/x/drash@v2.5.4/mod.ts"; class ParseResource extends Drash.Resource { public paths = ["/"]; public POST(request: Drash.Request, response: Drash.Response) { const file = request.bodyParam("file"); if (!file) throw new Error("File is required!"); var wb = read(file.content); return response.html( utils.sheet_to_html(wb.Sheets[wb.SheetNames[0]])); } public GET(request: Drash.Request, response: Drash.Response): void { return response.html(`\ SheetJS Spreadsheet to HTML Conversion Service

SheetJS Spreadsheet Conversion Service

API Send a POST request to http://localhost:3000/ with the file in the "file" body parameter: $ curl -X POST -F"file=@test.xlsx" http://localhost:3000/ The response will be an HTML TABLE generated from the first worksheet. Try it out!
Use the file input element to select a file, then click "Submit"
`, ); } } const server = new Drash.Server({ hostname: "", port: 3000, protocol: "http", resources: [ ParseResource ], }); server.run(); console.log(`Server running at ${server.address}.`); ``` 2) Run the server: ```bash deno run --allow-net SheetJSDrash.ts ``` 3) Download the test file 4) Open http://localhost:3000/ in your browser. Click "Choose File" and select `pres.numbers`. Then click "Submit" The page should show the contents of the file as an HTML table.
## NodeJS When processing small files, the work is best handled in the server response handler function. This approach is used in the "Framework Demos" section. When processing large files, the direct approach will freeze the server. NodeJS provides "Worker Threads" for this exact use case. ### Framework Demos #### Express The `express-formidable` middleware is powered by the `formidable` parser. It adds a `files` property to the request. When downloading binary data, Express handles `Buffer` data in `res.end`. The convenience `attachment` method adds the required header: ```js // Header 'Content-Disposition: attachment; filename="SheetJS.xlsx"' res.attachment("SheetJS.xlsx"); ``` The following demo Express server will respond to POST requests to `/upload` with a CSV output of the first sheet. It will also respond to GET requests to `/download`, responding with a fixed XLSX worksheet: ```js title="SheetJSExpressCSV.js" var XLSX = require('xlsx'), express = require('express'); /* create app */ var app = express(); /* add express-formidable middleware */ // highlight-next-line app.use(require('express-formidable')()); /* route for handling uploaded data */ app.post('/upload', function(req, res) { // highlight-start var f = req.files["upload"]; // var wb = XLSX.readFile(f.path); // highlight-end /* respond with CSV data from the first sheet */ res.status(200).end(XLSX.utils.sheet_to_csv(wb.Sheets[wb.SheetNames[0]])); }); app.get('/download', function(req, res) { /* generate workbook object */ var ws = XLSX.utils.aoa_to_sheet(["SheetJS".split(""), [5,4,3,3,7,9,5]]); var wb = XLSX.utils.book_new(); XLSX.utils.book_append_sheet(wb, ws, "Data"); // highlight-start /* generate buffer */ var buf = XLSX.write(wb, {type: "buffer", bookType: "xlsx"}); /* set headers */ res.attachment("SheetJSExpress.xlsx"); /* respond with file data */ res.status(200).end(buf); // highlight-end }); app.listen(+process.env.PORT||3000); ```
Testing (click to show) 0) Save the code sample to `SheetJSExpressCSV.js` 1) Install dependencies: ```bash npm i --save https://cdn.sheetjs.com/xlsx-latest/xlsx-latest.tgz express express-formidable ``` 2) Start server (note: it will not print anything to console when running) ```bash node SheetJSExpressCSV.js ``` 3) Test POST requests using : ```bash curl -LO https://sheetjs.com/pres.numbers curl -X POST -F upload=@pres.numbers http://localhost:3000/upload ``` The response should show the data in CSV rows. 4) Test GET requests by opening http://localhost:3000/download in your browser. It should prompt to download `SheetJSExpress.xlsx`
#### NestJS [The NestJS docs](https://docs.nestjs.com/techniques/file-upload) have detailed instructions for file upload support. In the controller, the `path` property works with `XLSX.readFile`. When downloading binary data, NestJS expects `StreamableFile`-wrapped Buffers. The following demo NestJS Controller will respond to POST requests to `/upload` with a CSV output of the first sheet. It will also respond to GET requests to `/download`, responding with a fixed export: ```ts title="src/sheetjs/sheetjs.controller.js" import { Controller, Get, Header, Post, StreamableFile, UploadedFile, UseInterceptors } from '@nestjs/common'; import { FileInterceptor } from '@nestjs/platform-express'; import { readFile, utils } from 'xlsx'; @Controller('sheetjs') export class SheetjsController { @Post('upload') // @UseInterceptors(FileInterceptor('upload')) async uploadXlsxFile(@UploadedFile() file: Express.Multer.File) { /* file.path is a path to the workbook */ // highlight-next-line const wb = readFile(file.path); /* generate CSV of first worksheet */ return utils.sheet_to_csv(wb.Sheets[wb.SheetNames[0]]); } @Get('download') @Header('Content-Disposition', 'attachment; filename="SheetJSNest.xlsx"') async downloadXlsxFile(): Promise { var ws = utils.aoa_to_sheet(["SheetJS".split(""), [5,4,3,3,7,9,5]]); var wb = utils.book_new(); utils.book_append_sheet(wb, ws, "Data"); // highlight-start /* generate buffer */ var buf = write(wb, {type: "buffer", bookType: "xlsx"}); /* Return a streamable file */ return new StreamableFile(buf); // highlight-end } } ```
Testing (click to show) 1) Create a new project: ```bash npx @nestjs/cli new -p npm sheetjs-nest cd sheetjs-nest npm i --save https://cdn.sheetjs.com/xlsx-latest/xlsx-latest.tgz npm i --save-dev @types/multer mkdir -p upload ``` 2) Create a new controller and a new module: ```bash npx @nestjs/cli generate module sheetjs npx @nestjs/cli generate controller sheetjs ``` 3) Add `multer` to the new module by editing `src/sheetjs/sheetjs.module.ts`. Changes are highlighted below: ```ts title="src/sheetjs/sheetjs.module.ts" import { Module } from '@nestjs/common'; import { SheetjsController } from './sheetjs.controller'; // highlight-next-line import { MulterModule } from '@nestjs/platform-express'; @Module({ // highlight-start imports: [ MulterModule.register({ dest: './upload', }), ], // highlight-end controllers: [SheetjsController] }) export class SheetjsModule {} ``` 4) Copy the `src/sheetjs/sheetjs.controller.ts` example from earlier, replacing the contents of the existing file. 5) Start the server with ```bash npx @nestjs/cli start ``` 3) Test POST requests using : ```bash curl -LO https://sheetjs.com/pres.numbers curl -X POST -F upload=@pres.numbers http://localhost:3000/sheetjs/upload ``` The response should show the data in CSV rows. 4) Test GET requests by opening http://localhost:3000/sheetjs/download in your browser. It should prompt to download `SheetJSNest.xlsx`
#### Fastify :::note This demo was verified on 2023 April 06 using `fastify@4.15.0` ::: _Reading Data_ `@fastify/multipart`, which uses `busbuy` under the hood, can be registered: ```js /* load SheetJS Library */ const XLSX = require("xlsx"); /* load fastify and enable body parsing */ const fastify = require('fastify')({logger: true}); // highlight-next-line fastify.register(require('@fastify/multipart'), { attachFieldsToBody: true }); ``` Once registered with the option `attachFieldsToBody`, route handlers can use `req.body` directly: ```js /* POST / reads submitted file and exports to requested format */ fastify.post('/', async(req, reply) => { /* "file" is the name of the field in the HTML form*/ const file = req.body.upload; /* toBuffer returns a promise that resolves to a Buffer */ // highlight-next-line const buf = await file.toBuffer(); /* `XLSX.read` can read the Buffer */ const wb = XLSX.read(buf); /* reply with a CSV */ reply.send(XLSX.utils.sheet_to_csv(wb.Sheets[wb.SheetNames[0]])); }); ``` :::caution Out of the box, Fastify will return an error `FST_ERR_CTP_BODY_TOO_LARGE` when processing large spreadsheets (`statusCode 413`). This is a Fastify issue. The default body size limit (including all uploaded files and fields) is 1 MB. It can be increased by setting the `bodyLimit` option during server creation: ```js /* increase request body size limit to 5MB = 5 * 1024 * 1024 bytes */ const fastify = require('fastify')({bodyLimit: 5 * 1024 * 1024}); ``` ::: _Writing Data_ The `Content-Disposition` header must be set manually: ```js /* GET / returns a workbook */ fastify.get('/', (req, reply) => { /* make a workbook */ var wb = XLSX.read("S,h,e,e,t,J,S\n5,4,3,3,7,9,5", {type: "binary"}); /* write to Buffer */ const buf = XLSX.write(wb, {type:"buffer", bookType: "xlsx"}); /* set Content-Disposition header and send data */ // highlight-next-line reply.header('Content-Disposition', 'attachment; filename="SheetJSFastify.xlsx"').send(buf); }); ```
Testing (click to show) 0) Save the following snippet to `SheetJSFastify.js`: ```js title="SheetJSFastify.js" /* load SheetJS Library */ const XLSX = require("xlsx"); /* load fastify and enable body parsing */ const fastify = require('fastify')({logger: true}); fastify.register(require('@fastify/multipart'), { attachFieldsToBody: true }); /* GET / returns a workbook */ fastify.get('/', (req, reply) => { /* make a workbook */ var wb = XLSX.read("S,h,e,e,t,J,S\n5,4,3,3,7,9,5", {type: "binary"}); /* write to Buffer */ const buf = XLSX.write(wb, {type:"buffer", bookType: "xlsx"}); /* set Content-Disposition header and send data */ reply.header('Content-Disposition', 'attachment; filename="SheetJSFastify.xlsx"').send(buf); }); /* POST / reads submitted file and exports to requested format */ fastify.post('/', async(req, reply) => { /* "file" is the name of the field in the HTML form*/ const file = req.body.upload; /* toBuffer returns a promise that resolves to a Buffer */ const wb = XLSX.read(await file.toBuffer()); /* send back a CSV */ reply.send(XLSX.utils.sheet_to_csv(wb.Sheets[wb.SheetNames[0]])); }); /* start */ fastify.listen({port: process.env.PORT || 3000}, (err, addr) => { if(err) throw err; }); ``` 1) Install dependencies: ```bash npm i --save https://cdn.sheetjs.com/xlsx-latest/xlsx-latest.tgz fastify @fastify/multipart ``` 2) Start server ```bash node SheetJSFastify.js ``` 3) Test POST requests using : ```bash curl -LO https://sheetjs.com/pres.numbers curl -X POST -F upload=@pres.numbers http://localhost:3000/ ``` The response should show the data in CSV rows. 4) Test GET requests by opening http://localhost:3000/ in your browser. It should prompt to download `SheetJSFastify.xlsx`
### Worker Threads NodeJS "Worker Threads" were introduced in v14 and eventually marked as stable in v16. Coupled with `AsyncResource`, a simple thread pool enables processing without blocking the server! The official NodeJS docs include a sample worker pool implementation. This example uses ExpressJS to create a general XLSX conversion service, but the same approach applies to any NodeJS server side framework. When reading large files, it is strongly recommended to run the body parser in the main server process. Body parsers like `formidable` will write uploaded files to the filesystem, and the file path should be passed to the worker (and the worker would be responsible for reading and cleaning up the files). :::note The `child_process` module can also spawn [command-line tools](/docs/demos/cli). That approach is not explored in this demo. :::
Complete Example (click to show) :::note This demo was last tested on 2023 March 14. Versions: NodeJS 18.15.0 + ExpressJS 4.18.2 + Formidable 2.1.1 ::: 0) Create a simple ECMAScript-Module-enabled `package.json`: ```json title="package.json" { "type": "module" } ``` 1) Install the dependencies: ```bash npm i --save https://cdn.sheetjs.com/xlsx-latest/xlsx-latest.tgz express@4.18.2 formidable@2.1.1 ``` 2) Create a worker script `worker.js` that listens for messages. When a message is received, it will read the file from the filesystem, generate and pass back a new XLSX file, and delete the original file: ```js title="worker.js" /* load the worker_threads module */ import { parentPort } from 'node:worker_threads'; /* load the SheetJS module and hook to FS */ import { set_fs, readFile, write } from 'xlsx'; import * as fs from 'fs'; set_fs(fs); /* the server will send a message with the `path` field */ parentPort.on('message', (task) => { /* highlight-start */ // read file const wb = readFile(task.path, { dense: true }); // send back XLSX parentPort.postMessage(write(wb, { type: "buffer", bookType: "xlsx" })); /* highlight-end */ // remove file fs.unlink(task.path, ()=>{}); }); ``` 3) Download [`worker_pool.js`](pathname:///server/worker_pool.js): ```bash curl -LO https://docs.sheetjs.com/server/worker_pool.js ``` (this is a slightly modified version of the example in the NodeJS docs) 4) Save the following server code to `main.mjs`: ```js title="main.mjs" /* load dependencies */ import os from 'node:os'; import process from 'node:process' import express from 'express'; import formidable from 'formidable'; /* load worker pool */ import WorkerPool from './worker_pool.js'; const pool = new WorkerPool(os.cpus().length); process.on("beforeExit", () => { pool.close(); }) /* create server */ const app = express(); app.post('/', (req, res, next) => { // parse body const form = formidable({}); form.parse(req, (err, fields, files) => { // look for "upload" field if(err) return next(err); if(!files["upload"]) return next(new Error("missing `upload` file")); // send a message to the worker with the path to the uploaded file // highlight-next-line pool.runTask({ path: files["upload"].filepath }, (err, result) => { if(err) return next(err); // send the file back as an attachment res.attachment("SheetJSPool.xlsx"); res.status(200).end(result); }); }); }); // start server app.listen(7262, () => { console.log(`Example app listening on port 7262`); }); ``` 5) Run the server: ```bash node main.mjs ``` Test with the [`pres.numbers` sample file](https://sheetjs.com/pres.numbers): ```bash curl -LO https://sheetjs.com/pres.numbers curl -X POST -F upload=@pres.numbers http://localhost:7262/ -J -O ``` This will generate `SheetJSPool.xlsx`.