feat: add less busy worker choice strategy
[poolifier.git] / README.md
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4
5 <h2 align="center">Node Thread Pool and Cluster Pool :arrow_double_up: :on:</h2>
6
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28 </p>
29
30 ## Why Poolifier?
31
32 Poolifier is used to perform CPU intensive and I/O intensive tasks on nodejs servers, it implements worker pools (yes, more worker pool implementations, so you can choose which one fit better for you) using [worker-threads](https://nodejs.org/api/worker_threads.html#worker_threads_worker_threads) and cluster pools using [Node.js cluster](https://nodejs.org/api/cluster.html) modules.
33 With poolifier you can improve your **performance** and resolve problems related to the event loop.
34 Moreover you can execute your tasks using an API designed to improve the **developer experience**.
35 Please consult our <a href="#general-guidance">general guidelines</a>
36
37 - Performance :racehorse: [benchmarks](./benchmarks/README.md)
38 - Security :bank: :cop: [![Security Rating](https://sonarcloud.io/api/project_badges/measure?project=pioardi_poolifier&metric=security_rating)](https://sonarcloud.io/dashboard?id=pioardi_poolifier) [![Vulnerabilities](https://sonarcloud.io/api/project_badges/measure?project=pioardi_poolifier&metric=vulnerabilities)](https://sonarcloud.io/dashboard?id=pioardi_poolifier)
39 - Easy to use :couple:
40 - Easy switch from a pool to another, easy to tune :white_check_mark:
41 - Dynamic pool size :white_check_mark:
42 - No runtime dependencies :white_check_mark:
43 - Proper async integration with node async hooks :white_check_mark:
44 - Support for worker threads and cluster node modules :white_check_mark:
45 - Support sync and async tasks :white_check_mark:
46 - General guidance on pools to use :white_check_mark:
47 - Widely tested :white_check_mark:
48 - Error handling out of the box :white_check_mark:
49 - Active community :white_check_mark:
50 - Code quality :octocat: [![Bugs](https://sonarcloud.io/api/project_badges/measure?project=pioardi_poolifier&metric=bugs)](https://sonarcloud.io/dashboard?id=pioardi_poolifier)
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56
57 ## Contents
58
59 <h3 align="center">
60 <a href="#overview">Overview</a>
61 <span> · </span>
62 <a href="#installation">Installation</a>
63 <span> · </span>
64 <a href="#usage">Usage</a>
65 <span> · </span>
66 <a href="#node-versions">Node versions</a>
67 <span> · </span>
68 <a href="#api">API</a>
69 <span> · </span>
70 <a href="#general-guidance">General guidance</a>
71 <span> · </span>
72 <a href="#contribute">Contribute</a>
73 <span> · </span>
74 <a href="#team">Team</a>
75 <span> · </span>
76 <a href="#license">License</a>
77 </h3>
78
79 ## Overview
80
81 Node pool contains two [worker-threads](https://nodejs.org/api/worker_threads.html#worker_threads_worker_threads)/[cluster worker](https://nodejs.org/api/cluster.html#cluster_class_worker) pool implementations, you don't have to deal with worker-threads/cluster worker complexity.
82 The first implementation is a static worker pool, with a defined number of workers that are started at creation time and will be reused.
83 The second implementation is a dynamic worker pool with a number of worker started at creation time (these workers will be always active and reused) and other workers created when the load will increase (with an upper limit, these workers will be reused when active), the new created workers will be stopped after a configurable period of inactivity.
84 You have to implement your worker extending the ThreadWorker or ClusterWorker class
85
86 ## Installation
87
88 ```shell
89 npm install poolifier --save
90 ```
91
92 ## Usage
93
94 You can implement a worker-threads worker in a simple way by extending the class ThreadWorker:
95
96 ```js
97 'use strict'
98 const { ThreadWorker } = require('poolifier')
99
100 function yourFunction(data) {
101 // this will be executed in the worker thread,
102 // the data will be received by using the execute method
103 return { ok: 1 }
104 }
105
106 module.exports = new ThreadWorker(yourFunction, {
107 maxInactiveTime: 60000,
108 async: false
109 })
110 ```
111
112 Instantiate your pool based on your needed :
113
114 ```js
115 'use strict'
116 const { FixedThreadPool, DynamicThreadPool } = require('poolifier')
117
118 // a fixed worker-threads pool
119 const pool = new FixedThreadPool(15,
120 './yourWorker.js',
121 { errorHandler: (e) => console.error(e), onlineHandler: () => console.log('worker is online') })
122
123 // or a dynamic worker-threads pool
124 const pool = new DynamicThreadPool(10, 100,
125 './yourWorker.js',
126 { errorHandler: (e) => console.error(e), onlineHandler: () => console.log('worker is online') })
127
128 pool.emitter.on('busy', () => console.log('Pool is busy'))
129
130 // the execute method signature is the same for both implementations,
131 // so you can easy switch from one to another
132 pool.execute({}).then(res => {
133 console.log(res)
134 }).catch ....
135
136 ```
137
138 You can do the same with the classes ClusterWorker, FixedClusterPool and DynamicClusterPool.
139
140 **See examples folder for more details (in particular if you want to use a pool for [multiple functions](./examples/multiFunctionExample.js)).**
141 **Now TypeScript is also supported, find how to use it into the example folder**.
142
143 Remember that workers can only send and receive serializable data.
144
145 ## Node versions
146
147 Node versions >= 16.x are supported.
148
149 ## API
150
151 ### [Documentation](https://poolifier.github.io/poolifier/)
152
153 ### `pool = new FixedThreadPool/FixedClusterPool(numberOfThreads/numberOfWorkers, filePath, opts)`
154
155 `numberOfThreads/numberOfWorkers` (mandatory) Number of workers for this pool
156 `filePath` (mandatory) Path to a file with a worker implementation
157 `opts` (optional) An object with these properties:
158
159 - `messageHandler` (optional) - A function that will listen for message event on each worker
160 - `errorHandler` (optional) - A function that will listen for error event on each worker
161 - `onlineHandler` (optional) - A function that will listen for online event on each worker
162 - `exitHandler` (optional) - A function that will listen for exit event on each worker
163 - `workerChoiceStrategy` (optional) - The worker choice strategy to use in this pool:
164
165 - `WorkerChoiceStrategies.ROUND_ROBIN`: Submit tasks to worker in a round robbin fashion
166 - `WorkerChoiceStrategies.LESS_USED`: Submit tasks to the less used worker
167 - `WorkerChoiceStrategies.LESS_BUSY`: Submit tasks to the less busy worker
168 - `WorkerChoiceStrategies.WEIGHTED_ROUND_ROBIN` Submit tasks to worker using a weighted round robin scheduling algorithm based on tasks execution time
169 - `WorkerChoiceStrategies.FAIR_SHARE`: Submit tasks to worker using a fair share tasks scheduling algorithm based on tasks execution time
170
171 `WorkerChoiceStrategies.WEIGHTED_ROUND_ROBIN` and `WorkerChoiceStrategies.FAIR_SHARE` strategies are targeted to heavy and long tasks
172 Default: `WorkerChoiceStrategies.ROUND_ROBIN`
173
174 - `enableEvents` (optional) - Events emission enablement in this pool. Default: true
175
176 ### `pool = new DynamicThreadPool/DynamicClusterPool(min, max, filePath, opts)`
177
178 `min` (mandatory) Same as FixedThreadPool/FixedClusterPool numberOfThreads/numberOfWorkers, this number of workers will be always active
179 `max` (mandatory) Max number of workers that this pool can contain, the new created workers will die after a threshold (default is 1 minute, you can override it in your worker implementation).
180 `filePath` (mandatory) Same as FixedThreadPool/FixedClusterPool
181 `opts` (optional) Same as FixedThreadPool/FixedClusterPool
182
183 ### `pool.execute(data)`
184
185 Execute method is available on both pool implementations (return type: Promise):
186 `data` (mandatory) An object that you want to pass to your worker implementation
187
188 ### `pool.destroy()`
189
190 Destroy method is available on both pool implementations.
191 This method will call the terminate method on each worker.
192
193 ### `class YourWorker extends ThreadWorker/ClusterWorker`
194
195 `fn` (mandatory) The function that you want to execute on the worker
196 `opts` (optional) An object with these properties:
197
198 - `maxInactiveTime` - Max time to wait tasks to work on (in ms), after this period the new worker will die.
199 The last active time of your worker unit will be updated when a task is submitted to a worker or when a worker terminate a task.
200 If `killBehavior` is set to `KillBehaviors.HARD` this value represents also the timeout for the tasks that you submit to the pool, when this timeout expires your tasks is interrupted and the worker is killed if is not part of the minimum size of the pool.
201 If `killBehavior` is set to `KillBehaviors.SOFT` your tasks have no timeout and your workers will not be terminated until your task is completed.
202 Default: 60000 ms
203
204 - `async` - true/false, true if your function contains async code pieces, else false
205 - `killBehavior` - Dictates if your async unit (worker/process) will be deleted in case that a task is active on it.
206 **KillBehaviors.SOFT**: If `currentTime - lastActiveTime` is greater than `maxInactiveTime` but a task is still running, then the worker **won't** be deleted.
207 **KillBehaviors.HARD**: If `currentTime - lastActiveTime` is greater than `maxInactiveTime` but a task is still running, then the worker will be deleted.
208 This option only apply to the newly created workers.
209 Default: `KillBehaviors.SOFT`
210
211 ## General guidance
212
213 Performance is one of the main target of these worker pool implementations, we want to have a strong focus on this.
214 We already have a bench folder where you can find some comparisons.
215
216 ### Internal Node.js thread pool
217
218 Before to jump into each poolifier pool type, let highlight that **Node.js comes with a thread pool already**, the libuv thread pool where some particular tasks already run by default.
219 Please take a look at [which tasks run on the libuv thread pool](https://nodejs.org/en/docs/guides/dont-block-the-event-loop/#what-code-runs-on-the-worker-pool).
220
221 **If your task runs on libuv thread pool**, you can try to:
222
223 - Tune the libuv thread pool size setting the [UV_THREADPOOL_SIZE](https://nodejs.org/api/cli.html#cli_uv_threadpool_size_size)
224
225 and/or
226
227 - Use poolifier cluster pool that spawning child processes will also increase the number of libuv threads since that any new child process comes with a separated libuv thread pool. **More threads does not mean more fast, so please tune your application.**
228
229 ### Cluster vs Threads worker pools
230
231 **If your task does not run into libuv thread pool** and is CPU intensive then poolifier **thread pools** (FixedThreadPool and DynamicThreadPool) are suggested to run CPU intensive tasks, you can still run I/O intensive tasks into thread pools, but performance enhancement is expected to be minimal.
232 Thread pools are built on top of Node.js [worker-threads](https://nodejs.org/api/worker_threads.html#worker_threads_worker_threads) module.
233
234 **If your task does not run into libuv thread pool** and is I/O intensive then poolifier **cluster pools** (FixedClusterPool and DynamicClusterPool) are suggested to run I/O intensive tasks, again you can still run CPU intensive tasks into cluster pools, but performance enhancement is expected to be minimal.
235 Consider that by default Node.js already has great performance for I/O tasks (asynchronous I/O).
236 Cluster pools are built on top of Node.js [cluster](https://nodejs.org/api/cluster.html) module.
237
238 If your task contains code that runs on libuv plus code that is CPU intensive or I/O intensive you either split it either combine more strategies (i.e. tune the number of libuv threads and use cluster/thread pools).
239 But in general, **always profile your application**
240
241 ### Fixed vs Dynamic pools
242
243 To choose your pool consider that with a FixedThreadPool/FixedClusterPool or a DynamicThreadPool/DynamicClusterPool (in this case is important the min parameter passed to the constructor) your application memory footprint will increase.
244 Increasing the memory footprint, your application will be ready to accept more tasks, but during idle time your application will consume more memory.
245 One good choose from my point of view is to profile your application using Fixed/Dynamic worker pool, and to see your application metrics when you increase/decrease the num of workers.
246 For example you could keep the memory footprint low choosing a DynamicThreadPool/DynamicClusterPool with 5 workers, and allow to create new workers until 50/100 when needed, this is the advantage to use the DynamicThreadPool/DynamicClusterPool.
247 But in general, **always profile your application**
248
249 ## Contribute
250
251 See guidelines [CONTRIBUTING](CONTRIBUTING.md)
252 Choose your task here [2.3.x](https://github.com/orgs/poolifier/projects/1), propose an idea, a fix, an improvement.
253
254 ## Team
255
256 <!-- ALL-CONTRIBUTORS-LIST:START - Do not remove or modify this section -->
257
258 **Creator/Owner:**
259
260 - [**Alessandro Pio Ardizio**](https://github.com/pioardi)
261
262 **_Contributors_**
263
264 - [**Shinigami92**](https://github.com/Shinigami92)
265 - [**Jérôme Benoit**](https://github.com/jerome-benoit)
266
267 ## License
268
269 [MIT](./LICENSE)