A lightweight message queue using either mongodb or redis as the data store.
Tiny queue data structure
fast, tiny `queueMicrotask` shim for modern engines
A shim for the setImmediate efficient script yielding API
Promise queue with concurrency control
A contributed Node-RED node, that queues undeliverable messages to file for later delivery.
A simple tool to keep requests to be executed in order.
The smallest and simplest JavaScript priority queue
queue-lit is a tiny queue data structure in case you `Array#push()` or `Array#shift()` on large arrays very often
Next tick shim that prefers process.nextTick over queueMicrotask for compat
Log things, prefixed with a timestamp.
Simple JS queue with auto run for node and browsers
In memory queue system prioritizing tasks
Promise-based queue
Node-RED AMQP input and output nodes with ack and prefetch
The fastest javascript implementation of a double-ended queue. Used by the official Redis, MongoDB, MariaDB & MySQL libraries for Node.js and many other libraries. Maintains compatability with deque.
LRU Queue
Sequential asynchronous lock-based queue for promises
Simple JS queue with auto run for node and browsers
asynchronous function queue with adjustable concurrency
Fast, in memory work queue
No description provided.
A promise based, dynamic priority queue runner, with concurrency limiting.
Microsoft Azure Storage SDK for JavaScript - Queue
This(it) is agent daemon for reliable-msg queue
# Sparrow is a really fast lightweight queue written in Ruby that speaks memcached. # That means you can use Sparrow with any memcached client library (Ruby or otherwise). # # Basic tests shows that Sparrow processes messages at a rate of 850-900 per second. # The load Sparrow can cope with increases exponentially as you add to the cluster. # Sparrow also takes advantage of eventmachine, which uses a non-blocking io, offering great performance. # # Sparrow is a in-memory queue but will persist the data to disk when receiving a term signal. # # Sparrow comes with built in support for daemonization and clustering. # Also included are example libraries and clients. For example: # # require 'memcache' # m = MemCache.new('127.0.0.1:11212') # m['queue_name'] = '1' # Publish to queue # m['queue_name'] #=> 1 Pull next msg from queue # m['queue_name'] #=> nil # m.delete('queue_name) # Delete queue # # # or using the included client: # # class MyQueue < MQ3::Queue # def on_message # logger.info "Received msg with args: #{args.inspect}" # end # end # # MyQueue.servers = [ # MQ3::Protocols::Memcache.new({:host => '127.0.0.1', :port => 11212, :weight => 1}) # ] # MyQueue.publish('test msg') # MyQueue.run # # Messages are deleted as soon as they're read and the order you add messages to the queue probably won't # be the same order when they're removed. # # Additional memcached commands that are supported are: # flush_all # Deletes all queues # version # quit # The memcached commands 'add', and 'replace' just call 'set'. # # Call sparrow with --help for usage options # # The daemonization won't work on Windows. # # Check out the code: # svn checkout http://sparrow.googlecode.com/svn/trunk/ sparrow # # Sparrow was inspired by Twitter's Starling
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No description provided.
No description provided.