A streaming way to send data to a Node.js Worker Thread.
npm i thread-stream'use strict'
const ThreadStream = require('thread-stream')
const { join } = require('path')
const stream = new ThreadStream({
filename: join(__dirname, 'worker.js'),
workerData: { dest },
workerOpts: {}, // Other options to be passed to Worker
sync: false, // default
})
stream.write('hello')
// Asynchronous flushing
stream.flush(function () {
stream.write(' ')
stream.write('world')
// Synchronous flushing
stream.flushSync()
stream.end()
})In worker.js:
'use strict'
const fs = require('fs')
const { once } = require('events')
async function run (opts) {
const stream = fs.createWriteStream(opts.dest)
await once(stream, 'open')
return stream
}
module.exports = runMake sure that the stream emits 'close' when the stream completes.
This can usually be achieved by passing the autoDestroy: true
flag your stream classes.
The underlining worker is automatically closed if the stream is garbage collected.
You may use this module within compatible external modules, that exports the worker.js interface.
const ThreadStream = require('thread-stream')
const modulePath = require.resolve('pino-elasticsearch')
const stream = new ThreadStream({
filename: modulePath,
workerData: { node: 'http://localhost:9200' }
})
stream.write('log to elasticsearch!')
stream.flushSync()
stream.end()This module works with yarn in PnP (plug'n play) mode too!
You can emit events on the ThreadStream from your worker using worker.parentPort.postMessage().
The message (JSON object) must have the following data structure:
parentPort.postMessage({
code: 'EVENT',
name: 'eventName',
args: ['list', 'of', 'args', 123, new Error('Boom')]
})On your ThreadStream, you can add a listener function for this event name:
const stream = new ThreadStream({
filename: join(__dirname, 'worker.js'),
workerData: {},
})
stream.on('eventName', function (a, b, c, n, err) {
console.log('received:', a, b, c, n, err) // received: list of args 123 Error: Boom
})MIT