@airbnb/node-memwatch

中文文档
3.0.0发布于 2024/11/08CommonJS近 30 天下载 2.4万

Keep an eye on your memory usage, and discover and isolate leaks.

原始使用文档
文档目录7 节
  1. Installation
  2. Description
  3. Leak Detection
  4. Heap Usage
  5. Heap Diffing
  6. Future Work
  7. License

node-memwatch: Leak Detection and Heap Diffing for Node.JS

node-memwatch is here to help you detect and find memory leaks in Node.JS code. It provides:

  • A stats event, emitted on full MarkSweepCompact GCs giving you data describing your heap usage and trends over time.

  • A HeapDiff class that lets you compare the state of your heap between two points in time, telling you what has been allocated, and what has been released.

Installation

  • npm install @airbnb/node-memwatch

Description

There are a growing number of tools for debugging and profiling memory usage in Node.JS applications, but there is still a need for a platform-independent native module that requires no special instrumentation. This module attempts to satisfy that need.

To get started, import node-memwatch like so:

var memwatch = require('@airbnb/node-memwatch');

Leak Detection

Currently unsupported while we explore heuristics

Heap Usage

The best way to evaluate your memory footprint is to look at heap usage right after V8 performs garbage collection. memwatch does exactly this - it checks heap usage only after GC to give you a stable baseline of your actual memory usage.

When V8 performs a garbage collection (technically, we're talking about a full GC with heap compaction), memwatch will emit a stats event.

memwatch.on('stats', function(stats) { ... });

The stats data will look something like this:

{
  gcScavengeCount: 1,
  gcScavengeTime: 1100880, // ns
  gcMarkSweepCompactCount: 2,
  gcMarkSweepCompactTime: 21157231, // ns
  gcIncrementalMarkingCount: 0,
  gcIncrementalMarkingTime: 0, //ns
  gcProcessWeakCallbacksCount: 0,
  gcProcessWeakCallbacksTime: 0, // ns
  total_heap_size: 16097280, // bytes
  total_heap_size_executable: 3670016, // bytes
  total_physical_size: 10741880, // bytes
  total_available_size: 1487689928, // bytes
  used_heap_size: 5691584, // bytes
  heap_size_limit: 1501560832, // bytes
  malloced_memory: 8192,
  peak_malloced_memory: 1185464,
  gc_time: 4587251 // ns
}

V8 has its own idea of when it's best to perform a GC, and under a heavy load, it may defer this action for some time. To aid in speedier debugging, memwatch provides a gc() method to force V8 to do a full GC and heap compaction.

Heap Diffing

For leak isolation, it provides a HeapDiff class that takes two snapshots and computes a diff between them. For example:

// Take first snapshot
var hd = new memwatch.HeapDiff();

// do some things ...

// Take the second snapshot and compute the diff
var diff = hd.end();

The contents of diff will look something like:

{
  "before": { "nodes": 11625, "size_bytes": 1869904, "size": "1.78 mb" },
  "after":  { "nodes": 21435, "size_bytes": 2119136, "size": "2.02 mb" },
  "change": { "size_bytes": 249232, "size": "243.39 kb", "freed_nodes": 197,
    "allocated_nodes": 10007,
    "details": [
      { "what": "String",
        "size_bytes": -2120,  "size": "-2.07 kb",  "+": 3,    "-": 62
      },
      { "what": "Array",
        "size_bytes": 66687,  "size": "65.13 kb",  "+": 4,    "-": 78
      },
      { "what": "LeakingClass",
        "size_bytes": 239952, "size": "234.33 kb", "+": 9998, "-": 0
      }
    ]
  }
}

The diff shows that during the sample period, the total number of allocated String and Array classes decreased, but Leaking Class grew by 9998 allocations. Hmmm.

You can use HeapDiff in your on('stats') callback; even though it takes a memory snapshot, which triggers a V8 GC, it will not trigger the stats event itself. Because that would be silly.

Future Work

Please see the Issues to share suggestions and contribute!

License

http://wtfpl.net

版本与发布记录

@airbnb/node-memwatch 共发布 6 个版本,首次发布于 2018/03/21;过去 12 个月发布了 0 个版本。

版本发布日期距今
3.0.0latest2024/11/082 年前
2.0.02020/04/236 年前
1.0.22018/05/238 年前
1.0.2-alpha.02018/05/228 年前
1.0.12018/05/158 年前
1.0.02018/03/218 年前

关于 @airbnb/node-memwatch 的常见问题

@airbnb/node-memwatch 是什么?

Keep an eye on your memory usage, and discover and isolate leaks.

如何安装 @airbnb/node-memwatch?

在项目目录运行 npm install @airbnb/node-memwatch,或使用 pnpm add / yarn add / bun add。

@airbnb/node-memwatch 支持 TypeScript 吗?

该包的 package.json 没有声明类型入口。需要类型提示时,可以在 npm 上查找社区维护的 @types/airbnb__node-memwatch 是否存在。

@airbnb/node-memwatch 支持 ESM 还是 CommonJS?

以 CommonJS 形式发布,可以直接 require();在 ES Module 项目中也可以用 import 引入(Node.js 会把 module.exports 作为默认导出)。

@airbnb/node-memwatch 需要什么版本的 Node.js?

package.json 的 engines 字段要求 Node.js >= 18。版本不符时 npm 默认只给出警告,开启 engine-strict 后会拒绝安装。

@airbnb/node-memwatch 可以商用吗?

@airbnb/node-memwatch 使用 未声明 许可。package.json 没有声明许可证。没有许可证的代码默认保留全部权利,商用前请联系作者或查看仓库中的 LICENSE 文件。以上为概括,不构成法律意见,请以许可原文为准。

@airbnb/node-memwatch 的下载量有多少?

根据 npm 官方下载统计,@airbnb/node-memwatch 在 2026/10/05 – 2026/11/03 这 30 天内被下载 23,610 次,日均约 787 次。下载量会把 CI 构建、镜像同步和作为其他包依赖的安装一并计入,适合横向比较热度,不能直接等同于使用人数。

@airbnb/node-memwatch 还在维护吗?

最新版本 3.0.0 发布于 2024/11/08(2 年前);至今共发布 6 个版本,其中过去 12 个月发布了 0 个;首次发布于 2018/03/21。发布频率只是参考信号:功能稳定的工具可能很少需要更新,建议结合源码仓库的 issue 和提交记录判断。