@dima-supy-io/exceljs v1.0.0

ExcelJS

This is a fork of the "exceljs" package, which fixes the problem with writing a file using streams and not using RAM. It solves the problem of writing large exel files

Original repo

Guys from ExcelJS promise this fix will be released with next major version (v5) as it has some breaking changes

Original PR with applied fix

Installation

npm install @dima-supy-io/exceljs

Whats new!

To use streams correctly just write:

import * as fs from 'fs';
import { stream } from '@dima-supy-io/exceljs';

const output_file_name = "/test.xlsx";

const writeStream = fs.createWriteStream(output_file_name, { flags: 'w' });
const wb = new stream.xlsx.WorkbookWriter({ stream: writeStream });
const worksheet = wb.addWorksheet("test");

const headers = Array.from({length: 256}, (_, i) => i + 1).map((i) => 'test' + i);

for (let i = 0; i < 100000; i++) {
  const row = headers.map((header) => header + '|' + i);
  await worksheet.addRow(row).commit(); // This row will be immediately written to disk and will not clog RAM.
}

await worksheet.commit(); // This is not necessary because await wb.commit() is used, but you can also write to disk not row by row, but worksheet by worksheet.
await wb.commit();

or with Google Storage Bucket:

import { PassThrough } from 'stream';
import { stream } from '@dima-supy-io/exceljs';
import { Storage } from '@google-cloud/storage';
import WorkbookWriter = stream.xlsx.WorkbookWriter;

const writeStream = new PassThrough();
const options = {
    stream: writeStream,
    useStyles: true,
    useSharedStrings: true,
};
const workbook = WorkbookWriter(options);

const uploadStream = new Storage().bucket('gcp-bucket').file('upload-filename').createWriteStream({
    metadata: {
        metadata,
    },
});

writeStream.pipe(uploadStream);

const worksheet = workbook.addWorksheet("test");

const headers = Array.from({length: 256}, (_, i) => i + 1).map((i) => 'test' + i);

for (let i = 0; i < 100000; i++) {
  const row = headers.map((header) => header + '|' + i);
  await worksheet.addRow(row).commit(); // This row will be immediately written to GCP Storage and will not clog RAM.
}

await worksheet.commit(); // This is not necessary because await wb.commit() is used, but you can also dispatch to GCP Storage Bucket not row by row, but worksheet by worksheet.
await wb.commit();

await new Promise((resolve, reject) => {
    uploadStream.on('finish', resolve);
    uploadStream.on('error', reject);
});