我今天也遇到了同样的问题。对我来说，问题是，我试图在我的NextJS项目的数据库中导入大量数据。

所以我所做的是，我像这样安装win-node-env包:

yarn add win-node-env

因为我的开发机器是Windows。我在本地安装，而不是在全球安装。你也可以像这样全局安装它:yarn global add win-node-env

然后在包装中。我的NextJS项目的json文件，我添加了另一个启动脚本，像这样:

"dev_more_mem": "NODE_OPTIONS=\"--max_old_space_size=8192\" next dev"

在这里，我传递节点选项，即。设置8GB为上限。 我的包裹。Json文件看起来像这样:

{
  "name": "my_project_name_here",
  "version": "1.0.0",
  "private": true,
  "scripts": {
    "dev": "next dev",
    "dev_more_mem": "NODE_OPTIONS=\"--max_old_space_size=8192\" next dev",
    "build": "next build",
    "lint": "next lint"
  },
  ......
}

然后我这样运行它:

yarn dev_more_mem

对我来说，我只在我的开发机器上遇到了这个问题(因为我正在导入大数据)。因此有了这个解决方案。我想分享一下，因为它可能对其他人有用。

我遇到这个问题时，试图调试与VSCode，所以只是想添加这是如何添加参数到您的调试设置。

你可以将它添加到launch.json中配置的runtimeArgs属性中。

参见下面的示例。

{
"version": "0.2.0",
"configurations": [{
        "type": "node",
        "request": "launch",
        "name": "Launch Program",
        "program": "${workspaceRoot}\\server.js"
    },
    {
        "type": "node",
        "request": "launch",
        "name": "Launch Training Script",
        "program": "${workspaceRoot}\\training-script.js",
        "runtimeArgs": [
            "--max-old-space-size=4096"
        ]
    }
]}

如果内存或RAM有限，则执行以下命令。

的发球 --源映射=假

它将能够启动应用程序。在我的例子中，它需要16gb内存。但我可以用8gb内存运行。

我在AWS Elastic Beanstalk上有这个错误，从t3升级实例类型。micro(免费层)到t3。小修正错误

你可以通过以下方法修复Node.js中的“堆出内存”错误。

Increase the amount of memory allocated to the Node.js process by using the --max-old-space-size flag when starting the application. For example, you can increase the limit to 4GB by running node --max-old-space-size=4096 index.js. Use a memory leak detection tool, such as the Node.js heap dump module, to identify and fix memory leaks in your application. You can also use the node inspector and use chrome://inspect to check memory usage. Optimize your code to reduce the amount of memory needed. This might involve reducing the size of data structures, reusing objects instead of creating new ones, or using more efficient algorithms. Use a garbage collector (GC) algorithm to manage memory automatically. Node.js uses the V8 engine's garbage collector by default, but you can also use other GC algorithms such as the Garbage Collection in Node.js Use a containerization technology like Docker which limits the amount of memory available to the container. Use a process manager like pm2 which allows to automatically restart the node application if it goes out of memory.

你也可以用以下方法改变Window的环境变量:

 $env:NODE_OPTIONS="--max-old-space-size=8192"