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An async iterable interface for redis streams





Create async iterables that emit redis stream entries. Requires Redis 5 or greater.

release license


Getting Started

import { RedisStream } from 'redis-x-stream'
import Redis from 'ioredis'

const myStream = 'my-stream'
await populate(myStream, 1e5)

let i = 0
for await (const [streamName, [id, keyvals]] of new RedisStream(myStream)) {
console.log(`read ${i} stream entries from ${myStream}`)

async function populate(stream, count) {
  const writer = new Redis({ enableAutoPipelining: true })
  await Promise.all(
    Array.from(Array(count), (_, j) => writer.xadd(stream, '*', 'index', j))
  await new Promise(resolve => writer.once('close', resolve))
  console.log(`wrote ${count} stream entries to ${stream}`)


See the API Docs for available options.

Advanced Usage

Task Processing

If you have a cluster of processes reading redis stream entries you likely want to utilize redis consumer groups

A task processing application may look like the following:

const control = {
  /* some control event emitter */
const stream = new RedisStream({
  streams: ['my-stream'],
  group: 'my-group',
  //eg. k8s StatefulSet hostname. or Cloud Foundry instance index
  consumer: 'tpc_' + process.env.SOME_ORDINAL_IDENTIFIER,
  block: Infinity,
  count: 10,
  deleteOnAck: true,
const lock = new Semaphore(11)
const release = lock.release.bind(lock)

control.on('new-source', (streamName) => {
  //Add an additional source stream to a blocked stream.
control.on('shutdown', async () => {
  //drain will process all claimed entries (the PEL) and stop iteration
  await stream.drain()

async function tryTask(stream, streamName, id, entry) {
  //...process entry...
  stream.ack(streamName, id)

for await (const [streamName, [id, keyvals]] of stream) {
  await lock.acquire()
  void tryTask(stream, streamName, id, keyvals).finally(release)