Large Datasets

For maximal compatibility, SheetJS API functions read entire files into memory and write files in memory. Browsers and other JS engines enforce tight memory limits. The library offers alternate strategies to optimize for memory usage.

Dense Mode

Dense mode worksheets, which store cells in arrays of arrays, are designed to work around Google Chrome performance regressions. For backwards compatibility, dense mode worksheets are not created by default.

read, readFile and aoa_to_sheet accept the dense option. When enabled, the methods create worksheet objects that store cells in arrays of arrays:

var dense_wb = XLSX.read(ab, {dense: true});

var dense_sheet = XLSX.utils.aoa_to_sheet(aoa, {dense: true});

Historical Note (click to show)

The earliest versions of the library aimed for IE6+ compatibility. In early testing, both in Chrome 26 and in IE6, the most efficient worksheet storage for small sheets was a large object whose keys were cell addresses.

Over time, V8 (the engine behind Chrome and NodeJS) evolved in a way that made the array of arrays approach more efficient but reduced the performance of the large object approach.

In the interest of preserving backwards compatibility, the library opts to make the array of arrays approach available behind a special dense option.

The various API functions will seamlessly handle dense and sparse worksheets.

Streaming Write

The streaming write functions are available in the XLSX.stream object. They take the same arguments as the normal write functions:

XLSX.stream.to_csv is the streaming version of XLSX.utils.sheet_to_csv.
XLSX.stream.to_html is the streaming version of XLSX.utils.sheet_to_html.
XLSX.stream.to_json is the streaming version of XLSX.utils.sheet_to_json.
XLSX.stream.to_xlml is the streaming SpreadsheetML2003 workbook writer.

These functions are covered in the "Stream Export" section.

This feature was expanded in version 0.20.3. It is strongly recommended to upgrade to the latest version.

NodeJS

In a CommonJS context, NodeJS Streams and fs immediately work with SheetJS:

const XLSX = require("xlsx"); // "just works"

ECMAScript Module Machinations

In NodeJS ESM, the dependency must be loaded manually:

import * as XLSX from 'xlsx';
import { Readable } from 'stream';

XLSX.stream.set_readable(Readable); // manually load stream helpers

Additionally, for file-related operations in NodeJS ESM, fs must be loaded:

import * as XLSX from 'xlsx';
import * as fs from 'fs';

XLSX.set_fs(fs); // manually load fs helpers

It is strongly encouraged to use CommonJS in NodeJS whenever possible.

Text Streams

to_csv, to_html, and to_xlml emit strings. The data can be directly pushed to a Writable stream. fs.createWriteStream¹ is the recommended approach for streaming to a file in NodeJS.

This example reads a worksheet passed as an argument to the script, pulls the first worksheet, converts to CSV and writes to SheetJSNodeJStream.csv:

var XLSX = require("xlsx"), fs = require("fs");

/* read file */
var wb = XLSX.readFile(process.argv[2]), {dense: true};

/* get first worksheet */
var ws = wb.Sheets[wb.SheetNames[0]];

/* create CSV stream */
var csvstream = XLSX.stream.to_csv(ws);

/* create output stream */
var ostream = fs.createWriteStream("SheetJSNodeJStream.csv");

/* write data from CSV stream to output file */
csvstream.pipe(ostream);

Object Streams

to_json uses Object-mode streams². A Transform stream³ can be used to generate a text stream for streaming to a file or the screen.

The following example prints data by writing to the process.stdout stream:

var XLSX = require("xlsx"), Transform = require("stream").Transform;

/* read file */
var wb = XLSX.readFile(process.argv[2], {dense: true});

/* get first worksheet */
var ws = wb.Sheets[wb.SheetNames[0]];

/* this Transform stream converts JS objects to text */
var conv = new Transform({writableObjectMode:true});
conv._transform = function(obj, e, cb){ cb(null, JSON.stringify(obj) + "\n"); };

/* pipe `to_json` -> transformer -> standard output */
XLSX.stream.to_json(ws, {raw: true}).pipe(conv).pipe(process.stdout);

BunJS

BunJS is directly compatible with NodeJS streams.

Bun support is considered experimental.

Great open source software grows with user tests and reports. Any issues should be reported to the Bun project for further diagnosis.

NodeJS Demo

Tested Deployments

This demo was tested in the following deployments:

Node Version	Date	Node Status when tested
`0.12.18`	2024-07-18	End-of-Life
`4.9.1`	2024-07-18	End-of-Life
`6.17.1`	2024-07-18	End-of-Life
`8.17.0`	2024-07-18	End-of-Life
`10.24.1`	2024-07-18	End-of-Life
`12.22.12`	2024-07-18	End-of-Life
`14.21.3`	2024-07-18	End-of-Life
`16.20.2`	2024-07-18	End-of-Life
`18.20.4`	2024-07-18	Maintenance LTS
`20.15.1`	2024-07-18	Active LTS
`22.5.0`	2024-07-18	Current

While streaming methods work in End-of-Life versions of NodeJS, production deployments should upgrade to a Current or LTS version of NodeJS.

This demo was also tested against BunJS 1.1.18 on 2024-07-18.

Install the NodeJS module

NodeJS
BunJS

npm i --save https://cdn.sheetjs.com/xlsx-0.20.3/xlsx-0.20.3.tgz

bun i --save xlsx@https://cdn.sheetjs.com/xlsx-0.20.3/xlsx-0.20.3.tgz

Download SheetJSNodeJStream.js:

curl -LO https://docs.sheetjs.com/stream/SheetJSNodeJStream.js

Download the test file:

curl -LO https://docs.sheetjs.com/pres.xlsx

Run the script:

NodeJS
BunJS

node SheetJSNodeJStream.js pres.xlsx

bun SheetJSNodeJStream.js pres.xlsx

Expected Output (click to show)

The console will display a list of objects:

{"Name":"Bill Clinton","Index":42}
{"Name":"GeorgeW Bush","Index":43}
{"Name":"Barack Obama","Index":44}
{"Name":"Donald Trump","Index":45}
{"Name":"Joseph Biden","Index":46}

The script will also generate SheetJSNodeJStream.csv:

Name,Index
Bill Clinton,42
GeorgeW Bush,43
Barack Obama,44
Donald Trump,45
Joseph Biden,46

Browser

Tested Deployments

Each browser demo was tested in the following environments:

Browser	Date
Chrome 126	2024-07-18
Safari 17.4	2024-07-18

NodeJS streaming APIs are not available in the browser. The following function supplies a pseudo stream object compatible with the to_csv function:

function sheet_to_csv_cb(ws, cb, opts, batch = 1000) {
  XLSX.stream.set_readable(() => ({
    __done: false,
    // this function will be assigned by the SheetJS stream methods
    _read: function() { this.__done = true; },
    // this function is called by the stream methods
    push: function(d) { if(!this.__done) cb(d); if(d == null) this.__done = true; },
    resume: function pump() { for(var i = 0; i < batch && !this.__done; ++i) this._read(); if(!this.__done) setTimeout(pump.bind(this), 0); }
  }));
  return XLSX.stream.to_csv(ws, opts);
}

// assuming `workbook` is a workbook, stream the first sheet
const ws = workbook.Sheets[workbook.SheetNames[0]];
const strm = sheet_to_csv_cb(ws, (csv)=>{ if(csv != null) console.log(csv); });
strm.resume();

Web Workers

For processing large files in the browser, it is strongly encouraged to use Web Workers. The Worker demo includes examples using the File System Access API.

Web Worker Details (click to show)

Typically, the file and stream processing occurs in the Web Worker. CSV rows can be sent back to the main thread in the callback:

worker.js
/* load standalone script from CDN */
importScripts("https://cdn.sheetjs.com/xlsx-0.20.3/package/dist/xlsx.full.min.js");

function sheet_to_csv_cb(ws, cb, opts, batch = 1000) {
  XLSX.stream.set_readable(() => ({
    __done: false,
    // this function will be assigned by the SheetJS stream methods
    _read: function() { this.__done = true; },
    // this function is called by the stream methods
    push: function(d) { if(!this.__done) cb(d); if(d == null) this.__done = true; },
    resume: function pump() { for(var i = 0; i < batch && !this.__done; ++i) this._read(); if(!this.__done) setTimeout(pump.bind(this), 0); }
  }));
  return XLSX.stream.to_csv(ws, opts);
}

/* this callback will run once the main context sends a message */
self.addEventListener('message', async(e) => {
  try {
    postMessage({state: "fetching " + e.data.url});
    /* Fetch file */
    const res = await fetch(e.data.url);
    const ab = await res.arrayBuffer();

    /* Parse file */
    postMessage({state: "parsing"});
    const wb = XLSX.read(ab, {dense: true});
    const ws = wb.Sheets[wb.SheetNames[0]];

    /* Generate CSV rows */
    postMessage({state: "csv"});
    const strm = sheet_to_csv_cb(ws, (csv) => {
      if(csv != null) postMessage({csv});
      else postMessage({state: "done"});
    });
    strm.resume();
  } catch(e) {
    /* Pass the error message back */
    postMessage({error: String(e.message || e) });
  }
}, false);

The main thread will receive messages with CSV rows for further processing:

main.js
worker.onmessage = function(e) {
  if(e.data.error) { console.error(e.data.error); /* show an error message */ }
  else if(e.data.state) { console.info(e.data.state); /* current state */ }
  else {
    /* e.data.csv is the row generated by the stream */
    console.log(e.data.csv);
  }
};

Live Demo

The following live demo fetches and parses a file in a Web Worker. The to_csv streaming function is used to generate CSV rows and pass back to the main thread for further processing.

For Chromium browsers, the File System Access API provides a modern worker-only approach. The Web Workers demo includes a live example of CSV streaming write.

The demo has a URL input box. Feel free to change the URL. For example,

https://raw.githubusercontent.com/SheetJS/test_files/master/large_strings.xls is an XLS file over 50 MB

https://raw.githubusercontent.com/SheetJS/libreoffice_test-files/master/calc/xlsx-import/perf/8-by-300000-cells.xlsx is an XLSX file with 300000 rows (approximately 20 MB)

Result

Live Editor

function SheetJSFetchCSVStreamWorker() {
  const [__html, setHTML] = React.useState("");
  const [state, setState] = React.useState("");
  const [cnt, setCnt] = React.useState(0);
  const [url, setUrl] = React.useState("https://docs.sheetjs.com/test_files/large_strings.xlsx");

  return ( <>
    <b>URL: </b><input type="text" value={url} onChange={(e) => setUrl(e.target.value)} size="80"/>
    <button onClick={() => {
      /* this mantra embeds the worker source in the function */
      const worker = new Worker(URL.createObjectURL(new Blob([`\
/* load standalone script from CDN */
importScripts("https://cdn.sheetjs.com/xlsx-0.20.3/package/dist/xlsx.full.min.js");

function sheet_to_csv_cb(ws, cb, opts, batch = 1000) {
  XLSX.stream.set_readable(() => ({
    __done: false,
    // this function will be assigned by the SheetJS stream methods
    _read: function() { this.__done = true; },
    // this function is called by the stream methods
    push: function(d) { if(!this.__done) cb(d); if(d == null) this.__done = true; },
    resume: function pump() { for(var i = 0; i < batch && !this.__done; ++i) this._read(); if(!this.__done) setTimeout(pump.bind(this), 0); }
  }));
  return XLSX.stream.to_csv(ws, opts);
}

/* this callback will run once the main context sends a message */
self.addEventListener('message', async(e) => {
  try {
    postMessage({state: "fetching " + e.data.url});
    /* Fetch file */
    const res = await fetch(e.data.url);
    const ab = await res.arrayBuffer();

    /* Parse file */
    let len = ab.byteLength;
    if(len < 1024) len += " bytes"; else { len /= 1024;
      if(len < 1024) len += " KB"; else { len /= 1024; len += " MB"; }
    }
    postMessage({state: "parsing " + len});
    const wb = XLSX.read(ab, {dense: true});
    const ws = wb.Sheets[wb.SheetNames[0]];

    /* Generate CSV rows */
    postMessage({state: "csv"});
    const strm = sheet_to_csv_cb(ws, (csv) => {
      if(csv != null) postMessage({csv});
      else postMessage({state: "done"});
    });
    strm.resume();
  } catch(e) {
    /* Pass the error message back */
    postMessage({error: String(e.message || e) });
  }
}, false);
      `])));
      /* when the worker sends back data, add it to the DOM */
      worker.onmessage = function(e) {
        if(e.data.error) return setHTML(e.data.error);
        else if(e.data.state) return setState(e.data.state);
        setHTML(e.data.csv);
        setCnt(cnt => cnt+1);
      };
      setCnt(0); setState("");
      /* post a message to the worker with the URL to fetch */
      worker.postMessage({url});
    }}><b>Click to Start</b></button>
    <pre>State: <b>{state}</b><br/>Number of rows: <b>{cnt}</b></pre>
    <pre dangerouslySetInnerHTML={{ __html }}/>
  </> );
}

Deno

Deno does not support NodeJS streams in normal execution, so a wrapper is used:

// @deno-types="https://cdn.sheetjs.com/xlsx-0.20.3/package/types/index.d.ts"
import { stream } from 'https://cdn.sheetjs.com/xlsx-0.20.3/package/xlsx.mjs';

/* Callback invoked on each row (string) and at the end (null) */
const csv_cb = (d:string|null) => {
  if(d == null) return;
  /* The strings include line endings, so raw write ops should be used */
  Deno.stdout.write(new TextEncoder().encode(d));
};

/* Prepare `Readable` function */
const Readable = () => ({
  __done: false,
  // this function will be assigned by the SheetJS stream methods
  _read: function() { this.__done = true; },
  // this function is called by the stream methods
  push: function(d: any) {
    if(!this.__done) csv_cb(d);
    if(d == null) this.__done = true;
  },
  resume: function pump() {
    for(var i = 0; i < 1000 && !this.__done; ++i) this._read();
    if(!this.__done) setTimeout(pump.bind(this), 0);
  }
})
/* Wire up */
stream.set_readable(Readable);

/* assuming `workbook` is a workbook, stream the first sheet */
const ws = workbook.Sheets[workbook.SheetNames[0]];
stream.to_csv(wb.Sheets[wb.SheetNames[0]]).resume();

Tested Deployments

This demo was last tested on 2024-07-18 against Deno 1.45.2.

SheetJSDenoStream.ts is a small example script that downloads https://docs.sheetjs.com/pres.numbers and prints CSV row objects.

Run the script:

deno run -A https://docs.sheetjs.com/stream/SheetJSDenoStream.ts

This script will fetch pres.numbers and generate CSV rows. The result will be printed to the terminal window.

See fs.createWriteStream in the NodeJS documentation. ↩
See "Object mode" in the NodeJS documentation. ↩
See Transform in the NodeJS documentation. ↩

Dense Mode​

Streaming Write​

NodeJS​

Text Streams​

Object Streams​

BunJS​

NodeJS Demo​

Browser​

Web Workers​

Live Demo​

Deno​

Footnotes​

Dense Mode

Streaming Write

NodeJS

Text Streams

Object Streams

BunJS

NodeJS Demo

Browser

Web Workers

Live Demo

Deno

Footnotes