Giter VIP home page Giter VIP logo

Comments (7)

dosubot avatar dosubot commented on June 30, 2024 2

Hey there, @kitchenchem224! I'm here to help you with any issues you're experiencing while using our repository. Let's work together to get this sorted out.

To resolve the error "failed to solve: process '/bin/sh -c npm run ${BUILD_CMD}' did not complete successfully: exit code: 1" when running docker compose up for the Superset repository, ensure that you are using the correct Node.js version specified in the .nvmrc file of the superset-frontend directory. The required Node.js version is v18.20.1.

Here is how you can set the correct Node.js version:

  1. Install NVM (Node Version Manager) if you haven't already:

    curl -o- https://raw.githubusercontent.com/nvm-sh/nvm/v0.39.1/install.sh | bash
    source ~/.bashrc
  2. Navigate to the superset-frontend directory:

    cd path/to/superset/superset-frontend
  3. Use NVM to install and use the correct Node.js version:

    nvm install
    nvm use
  4. Verify the Node.js version:

    node -v
    # It should output: v18.20.1

Additionally, ensure that the BUILD_CMD environment variable is correctly set to "build" as specified in the Dockerfile. The relevant section of the Dockerfile is:

ARG NPM_BUILD_CMD="build"
...
ENV BUILD_CMD=${NPM_BUILD_CMD}
...
RUN npm run ${BUILD_CMD}

After ensuring the correct Node.js version is in use and the BUILD_CMD is set correctly, try running docker compose up again. This should resolve the error related to the build command [1][2].

To continue talking to Dosu, mention @dosu.

from superset.

dosubot avatar dosubot commented on June 30, 2024 2

To further troubleshoot the issue, let's ensure that all necessary dependencies are installed and check for any specific errors during the build process.

  1. Verify Dependencies:
    Ensure that all dependencies are correctly installed. The Dockerfile uses npm ci to install dependencies, which requires a package-lock.json file. Ensure that this file is present and up-to-date.

  2. Inspect the Build Command:
    Run the build command manually inside the Docker container to see if it provides more detailed error messages. You can do this by starting a shell session in the container and running the command:

    docker run -it <image-id> /bin/sh
    cd /app/superset-frontend
    npm run build
  3. Check for Specific Errors:
    Look at the specific error messages provided when the npm run build command fails. These messages can give you more insight into what is going wrong.

  4. Increase Memory Limits:
    Sometimes, the build process may fail due to insufficient memory. You can try increasing the memory limits for Docker.

  5. Ensure Environment Variables:
    Make sure all necessary environment variables are set correctly. The superset-frontend build process requires specific environment variables such as NODE_OPTIONS and BABEL_ENV:

    "build": "cross-env NODE_OPTIONS=--max_old_space_size=8192 NODE_ENV=production BABEL_ENV=\"${BABEL_ENV:=production}\" webpack --mode=production --color",
  6. Check for Additional Dependencies:
    Ensure that all additional dependencies required for the build process are installed. The Dockerfile should include all necessary packages, but you can manually verify and install any missing dependencies.

If the above steps do not resolve the issue, please provide the specific error logs or details about the failure during the npm run build process. This will help in diagnosing the problem more accurately [1][2].

To continue talking to Dosu, mention @dosu.

from superset.

mistercrunch avatar mistercrunch commented on June 30, 2024 1

Sidetrack but I'm still thinking it'd be great to have some some of check_env script to check you have the right avoid of memory available, npm/node version, python version, ... and tell you what to do

from superset.

kitchenchem224 avatar kitchenchem224 commented on June 30, 2024

@dosu

I am on the correct node version and the dockerfile is correct. I am still getting the error.

from superset.

rusackas avatar rusackas commented on June 30, 2024

Ahh... @mistercrunch and I have been discussing this a bit. I'm 99.99% certain you're just hitting a Docker memory limit, and the error doesn't make that clear. I'm curious your settings, but you're probably <12 GB ram. Bumping to 12-ish should work, and 16GB should be quite safe. We still have yet to find an ideal way to make this safer/stabler with some kind of resource-checking script when starting things up.

from superset.

mistercrunch avatar mistercrunch commented on June 30, 2024

Not sure what is the minimum req, but I know this works ->
Screenshot 2024-06-20 at 3 40 51 PM

from superset.

kitchenchem224 avatar kitchenchem224 commented on June 30, 2024

Thanks for the reply @rusackas @mistercrunch . I was able to get it running yesterday. I changed my docker resource allocation to a little less generous than yours. I also enabled Kubernetes and set my x-superset-image to apache/superset:4.0.1-dev The build time was pretty quick too. Only like 3 or 4 minutes, not the 15+ I've heard about.

Capture d’écran du 2024-06-20 21-30-18

from superset.

Related Issues (20)

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.