From 56bbcb6b9cfbc6f0ec8f3dbe49873bdc92dd3b8f Mon Sep 17 00:00:00 2001 From: =?utf8?q?J=C3=A9r=C3=B4me=20Benoit?= Date: Sat, 15 Jul 2023 19:02:14 +0200 Subject: [PATCH] docs: refine README.md MIME-Version: 1.0 Content-Type: text/plain; charset=utf8 Content-Transfer-Encoding: 8bit Signed-off-by: Jérôme Benoit --- README.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index 6e6e46fb..df72b0b6 100644 --- a/README.md +++ b/README.md @@ -80,10 +80,10 @@ Please consult our [general guidelines](#general-guidance). ## Overview -Poolifier contains two [worker_threads](https://nodejs.org/api/worker_threads.html#class-worker)/[cluster](https://nodejs.org/api/cluster.html#cluster_class_worker) worker pool implementations, you don't have to deal with worker_threads/cluster complexity. +Poolifier contains two [worker_threads](https://nodejs.org/api/worker_threads.html#class-worker)/[cluster](https://nodejs.org/api/cluster.html#cluster_class_worker) worker pool implementations, you don't have to deal with worker*threads/cluster complexity. The first implementation is a static worker pool, with a defined number of workers that are started at creation time and will be reused. -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. -You have to implement your worker by extending the _ThreadWorker_ or _ClusterWorker_ class. +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. +You have to implement your worker by extending the \_ThreadWorker* or _ClusterWorker_ class. ## Installation -- 2.34.1