poolifier
tarn.js
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| poolifier | tarn.js | |
|---|---|---|
| 7 | 1 | |
| 312 | 454 | |
| 2.2% | 2.4% | |
| 10.0 | 0.0 | |
| 5 days ago | 7 months ago | |
| JavaScript | JavaScript | |
| MIT License | MIT License |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
poolifier
- Poolifier release v2.7.2
- Poolifier release v2.7.1
- Get a speed boost using this package for running worker threads in parallel
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Piscina – The Node.js Worker Pool
At work I use https://github.com/pioardi/poolifier
We have an api used for generating reports from mongo dB to csv, this let's the report process in the background leaving the report api to still handle requests.
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Poolifier as Node.js thread/cluster pool
Since that I am familiar with Java programming language, I immediately started to look for thread pool implementations just like are present in java. There was only one small and not exhaustive thread pool at that time, so I started to implement poolifier. I choosed to implement two thread pools, a fixed-size thread pool and a dynamic-size thread pool so that users could tune and choose which one fits better for their applications.
tarn.js
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Piscina – The Node.js Worker Pool
Knex, the SQL query builder, uses Tarn.js[1] for connection pooling to the db.
I've been using Tarn a bunch at work recently. We're doing some batch jobs, and I'm queuing work at each stage in Tarn.js pools. I created my own enqueue function that waits until the pool is less than a high-water mark in size before enqueueing. Then the pool has however many workers running.
[1] https://github.com/vincit/tarn.js/
What are some alternatives?
piscina - A fast, efficient Node.js Worker Thread Pool implementation
node-worker-threads-pool - Simple worker threads pool using node's worker_threads module.
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threads.js - 🧵 Make web workers & worker threads as simple as a function call.
camaro - camaro is an utility to transform XML to JSON, using Node.js binding to native XML parser pugixml, one of the fastest XML parser around.
pambdajs - Parallelized Lambda, the wrapper to help run lambda/anonymous function in parallel. 🚀