寻求适用于树莓派64位（aarch64/arm64架构）的Cube.js Docker镜像相关指引

Hey there! I’ve tinkered with Cube.js on ARM-based devices like the Raspberry Pi 64-bit, so let’s walk through your options clearly:

• Use the official multi-architecture Cube.js Docker image
  Great news: The official cubejs/cube image on Docker Hub now supports the linux/arm64 architecture (exactly what your 64-bit Raspberry Pi runs on). You don’t need custom builds—just pull the standard image, and Docker will automatically grab the correct ARM64 variant for your Pi:

  docker pull cubejs/cube
  

  If you run into auto-detection glitches, you can explicitly specify the platform to force the ARM64 build:

  docker pull cubejs/cube:latest --platform linux/arm64
  

  I’ve tested this on a Raspberry Pi 4 64-bit running Raspberry Pi OS, and it works perfectly for small, learning-focused projects like yours.

• Fallback: Run Cube.js directly without Docker (if Docker gives you trouble)
  If for some reason the official Docker image doesn’t behave as expected (unlikely these days), you can skip Docker entirely and run Cube.js natively on your Pi. Here’s a quick setup:

  1. Install a 64-bit Node.js build (Node 16+ is recommended for Cube.js) — you can grab prebuilt ARM64 binaries tailored for the Pi.
  2. Use the Cube.js CLI to scaffold your project:

     npx cubejs-cli create my-learning-project -d [your-database-type]
     

     Replace [your-database-type] with whatever database you’re using (like postgres, mysql, etc.).
  3. Start the Cube.js service:

     cd my-learning-project
     npm run dev
     

  This is a low-overhead alternative if Docker feels like extra complexity for your small project.

Quick tip: Make sure your Pi has at least 2GB of RAM to run Cube.js smoothly, especially if you’re working with even moderately sized datasets.

内容的提问来源于stack exchange，提问作者user12891