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987e0026 1# Node Thread Pool :arrow_double_up: :on:
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11<h2>Why Poolifier? </h2>
12Poolifier is used to perform heavy CPU bound tasks on nodejs servers, it implements a thread pool using <a href="https://nodejs.org/api/worker_threads.html#worker_threads_worker_threads">worker-threads </a>.
13With poolifier you can improve your performance and resolve problems related to the event loop.<br>
14
15
16
34a572eb 17<h2>Contents </h2>
18<h3 align="center">
19 <a href="#installation">Installation</a>
20 <span> · </span>
21 <a href="#usage">Usage</a>
22 <span> · </span>
23 <a href="#api">API</a>
24 <span> · </span>
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25 <a href="#cyp">Choose a pool</a>
26 <span> · </span>
34a572eb 27 <a href="#contribute">Contribute</a>
28 <span> · </span>
29 <a href="#nv">Compatibility</a>
30 <span> · </span>
31 <a href="#license">License</a>
32</h3>
33
f349ea72 34<h2> Overview </h2>
1a4ec243 35Node pool contains two <a href="https://nodejs.org/api/worker_threads.html#worker_threads_worker_threads">worker-threads </a> pool implementations , you don' t have to deal with worker-threads complexity. <br>
755f08b3 36The first implementation is a static thread pool , with a defined number of threads that are started at creation time and will be reused.<br>
106744f7 37The second implementation is a dynamic thread pool with a number of threads started at creation time ( these threads will be always active and reused) and other threads created when the load will increase ( with an upper limit, these threads will be reused when active ), the new created threads will be stopped after a configurable period of inactivity. <br>
34a572eb 38You have to implement your worker extending the ThreadWorker class<br>
39<h2 id="installation">Installation</h2>
13031992 40
1a4ec243 41```
27c5fb75 42npm install poolifier --save
1a4ec243 43```
34a572eb 44<h2 id="usage">Usage</h2>
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45
46You can implement a worker in a simple way , extending the class ThreadWorker :
47
48```js
49'use strict'
d2eb4964 50const { ThreadWorker } = require('poolifier')
1a4ec243 51
106744f7 52function yourFunction (data) {
53 // this will be executed in the worker thread,
54 // the data will be received by using the execute method
55 return { ok: 1 }
56}
57
1f9a5a44 58module.exports = new ThreadWorker(yourFunction, { maxInactiveTime: 60000 })
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59```
60
1f9a5a44 61Instantiate your pool based on your needed :
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62
63```js
64'use strict'
d2eb4964 65const { FixedThreadPool, DynamicThreadPool } = require('poolifier')
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66
67// a fixed thread pool
68const pool = new FixedThreadPool(15,
106744f7 69 './yourWorker.js',
70 { errorHandler: (e) => console.error(e), onlineHandler: () => console.log('worker is online') })
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71
72// or a dynamic thread pool
73const pool = new DynamicThreadPool(10, 100,
106744f7 74 './yourWorker.js',
75 { errorHandler: (e) => console.error(e), onlineHandler: () => console.log('worker is online') })
76
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77pool.emitter.on('FullPool', () => console.log('Pool is full'))
78
79// the execute method signature is the same for both implementations,
80// so you can easy switch from one to another
81pool.execute({}).then(res => {
82 console.log(res)
83}).catch ....
84
85```
86
106744f7 87<strong> See examples folder for more details ( in particular if you want to use a pool for [multiple functions](./examples/multiFunctionExample.js) ).</strong>
1a4ec243 88
34a572eb 89<h2 id="nv">Node versions</h2>
90
d9992bf9 91You can use node versions 12.x , 13.x <br>
1a4ec243 92
34a572eb 93<h2 id="api">API</h2>
94
95### `pool = new FixedThreadPool(numThreads, filePath, opts)`
96`numThreads` (mandatory) Num of threads for this worker pool <br>
97`filePath` (mandatory) Path to a file with a worker implementation <br>
98`opts` (optional) An object with these properties :
99- `errorHandler` - A function that will listen for error event on each worker thread
100- `onlineHandler` - A function that will listen for online event on each worker thread
101- `exitHandler` - A function that will listen for exit event on each worker thread
102- `maxTasks` - This is just to avoid not useful warnings message, is used to set <a href="https://nodejs.org/dist/latest-v12.x/docs/api/events.html#events_emitter_setmaxlisteners_n">maxListeners</a> on event emitters ( workers are event emitters)
103
104### `pool = new DynamicThreadPool(min, max, filePath, opts)`
105`min` (mandatory) Same as FixedThreadPool numThreads , this number of threads will be always active <br>
106`max` (mandatory) Max number of workers that this pool can contain, the new created threads will die after a threshold ( default is 1 minute , you can override it in your worker implementation). <br>
107`filePath` (mandatory) Same as FixedThreadPool <br>
108`opts` (optional) Same as FixedThreadPool <br>
109
110### `pool.execute(data)`
111Execute method is available on both pool implementations ( return type : Promise): <br>
112`data` (mandatory) An object that you want to pass to your worker implementation <br>
113
114### `pool.destroy()`
115Destroy method is available on both pool implementations.<br>
116This method will call the terminate method on each worker.
117
118
119### `class YourWorker extends ThreadWorker`
120`fn` (mandatory) The function that you want to execute on the worker thread <br>
121`opts` (optional) An object with these properties :
122- `maxInactiveTime` - Max time to wait tasks to work on ( in ms) , after this period the new worker threads will die.
123
48211d04 124<h2 id="cyp">Choose your pool</h2>
106744f7 125Performance is one of the main target of these thread pool implementations, we want to have a strong focus on this.<br>
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126We already have a bench folder where you can find some comparisons.
127To choose your pool consider that with a FixedThreadPool or a DynamicThreadPool ( in this case is important the min parameter passed to the constructor) your application memory footprint will increase . <br>
106744f7 128Increasing the memory footprint, your application will be ready to accept more CPU bound tasks, but during idle time your application will consume more memory. <br>
48211d04 129One good choose from my point of view is to profile your application using Fixed/Dynamic thread pool , and to see your application metrics when you increase/decrease the num of threads. <br>
106744f7 130For example you could keep the memory footprint low choosing a DynamicThreadPool with 5 threads, and allow to create new threads until 50/100 when needed, this is the advantage to use the DynamicThreadPool. <br>
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131But in general , <strong>always profile your application </strong>
132
34a572eb 133<h2 id="contribute">Contribute</h2>
134
2650b26b 135See guidelines [CONTRIBUTING](CONTRIBUTING.md)
1a4ec243 136
1a4ec243 137
34a572eb 138<h2 id="license">License</h2>
1a4ec243 139
9507c1d4 140[MIT](./LICENSE)