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Скачать или смотреть How to Successfully Run Apollo GraphQL Prisma Migrate Deploy in Your Dockerfile

  • vlogize
  • 2025-05-25
  • 4
How to Successfully Run Apollo GraphQL Prisma Migrate Deploy in Your Dockerfile
How to run Apollo Graphql Prisma migrate deploy in Dockerfiledockerdocker composegraphqlapollo serverprisma
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Описание к видео How to Successfully Run Apollo GraphQL Prisma Migrate Deploy in Your Dockerfile

Learn how to incorporate `yarn prisma migrate deploy` into your Dockerfile for seamless deployment of Apollo GraphQL applications using Prisma.
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This video is based on the question https://stackoverflow.com/q/70558921/ asked by the user 'Alex Aung' ( https://stackoverflow.com/u/1559116/ ) and on the answer https://stackoverflow.com/a/70560590/ provided by the user 'luisbar' ( https://stackoverflow.com/u/10803535/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: How to run Apollo Graphql Prisma migrate deploy in Dockerfile

Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l...
The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license.

If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com.
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How to Successfully Run Apollo GraphQL Prisma Migrate Deploy in Your Dockerfile

In the fast-evolving world of web development, using tools like Apollo GraphQL and Prisma can make your application development smoother and more efficient. However, when transitioning from a development environment to a production setting with Docker, you may encounter some challenges—especially when it comes to database migrations. One common query that many developers face is: How do I run yarn prisma migrate deploy in my Dockerfile?

In this guide, we will address this problem and explore how to properly configure your Dockerfile to run migrations in a Dockerized Apollo GraphQL application. We'll break down the solution into manageable sections, so let's dive in!

Understanding the Problem

During local development, you might be accustomed to executing migrations easily with commands like:

[[See Video to Reveal this Text or Code Snippet]]

But once you create a Docker image and deploy it using Docker Compose, the workflow changes. Running commands that pertain to your database migrations in a Docker environment requires some additional steps. This is where the confusion often arises about where to insert the yarn prisma migrate deploy command in the Dockerfile.

Crafting the Dockerfile

To facilitate an efficient migration process within your Docker setup, you can modify your Dockerfile as follows. Below is a simplified example that includes the migration commands:

[[See Video to Reveal this Text or Code Snippet]]

Breaking Down the Dockerfile

Base Images: We're using Node.js as the base image, with the BUILD_IMAGE stage for building the JavaScript application and an Alpine image for the final production stage.

Working Directory: WORKDIR /usr/src/app sets the working directory to simplify the path references in subsequent commands.

Copying Files: We copy the essential configuration files required for dependencies and Prisma schema before running installation commands.

Run Commands: The commands run during the build stage, like yarn prisma generate and RUN yarn build, prepare your application for production.

Final Stage: In the final stage, the command CMD yarn prisma migrate deploy && node dist/server.js ensures that migrations are performed before starting the application. This is vital as it will apply any pending migrations to your database.

Conclusion

Incorporating migration commands into your Dockerfile can initially seem daunting, but breaking down the process makes it manageable. With the above configuration, you can ensure that your database schema is up to date before your Apollo GraphQL server starts serving requests.

For any development team, automating this step makes deployments much more reliable and helps in maintaining consistency across environments. You can now confidently run your Apollo GraphQL Prisma migrations without any hassle in your Docker containers!

By following the steps outlined above, you can establish a robust foundation for deploying your applications using Apollo GraphQL and Prisma effectively.

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