10 Best Practices IMHO for GraphQL

Here are 10 best practices for GraphQL accrued from dozens of GraphQL API implementations:

  1. Keep your schema simple: Design your GraphQL schema with a clear and concise structure. Avoid unnecessary complexity and keep it focused on the specific requirements of your application. One great idea is to implement consistent standards to keep your schema simple, read more about those ideas here.
  2. Think about the client’s needs: GraphQL allows clients to specify their data requirements precisely. Collaborate with the client-side developers to understand their needs and design your schema accordingly, minimizing over-fetching or under-fetching of data.
  3. Version your schema: As your application evolves, consider versioning your GraphQL schema to ensure backward compatibility. This allows you to introduce changes without breaking existing client implementations.
  4. Use precise field names: Choose field names that accurately describe the data they represent. Be consistent with your naming conventions and avoid ambiguity to enhance the readability and maintainability of your schema.
  5. Avoid excessive nesting: While GraphQL supports nested queries, avoid deep nesting of fields as it can lead to performance issues and over-fetching of data. Optimize your schema by flattening nested fields when possible.
  6. Implement proper authentication and authorization: GraphQL does not enforce any specific authentication or authorization mechanisms. It is crucial to implement appropriate security measures to protect your GraphQL API endpoints, such as using authentication tokens, access control rules, and rate limiting.
  7. Implement pagination for large datasets: When dealing with large datasets, use pagination techniques (e.g., cursor-based pagination) to efficiently fetch and display data. This helps in improving performance and reduces the load on both the server and the client. For details on paging patterns and implementation details check out this article.
  8. Utilize data loaders: GraphQL data loaders help optimize data fetching by batching and caching requests. Implement data loaders to avoid the N+1 problem, where multiple database queries are triggered for each item in a list. Check out this post for more details.
  9. Document your schema: Provide comprehensive documentation for your GraphQL schema to assist client developers in understanding the available types, fields, and their usage. Clear documentation and standards promotes developer adoption and simplifies integration. Check out this post for more details on GraphQL standards.
  10. Monitor and optimize performance: Regularly monitor and analyze the performance of your GraphQL API. Identify and optimize slow-performing queries, implement caching strategies, and leverage tools like Apollo Engine or persisted queries to improve overall performance.

Remember that these practices may vary depending on the specific requirements and context of your GraphQL implementation. It’s always recommended to stay updated with the latest best practices and community guidelines.

How Long do You Code Per Coding Session?

I was working on getting the latest DataStax Enterprise 6 up and running via the Docker Image offerings today and I stumbled across a site called hashnode.com. On that site was a harmless little question but something I realized I ponder a lot, and even find myself in conversation about on a regular basis. The question (link) is posed,

“How many minutes/hours do you really sit to write code at a particular moment?

I’m not saying the total summation of hours you code a day. When you really sit down to write a code for a particular task at a moment, how many minutes/hours (at worst case) do you normally sit down before you get tired? I know some take break, some say it depends on the task or the individual, I would love to hear them all, and what you do to keep your brain refreshed before getting back to coding. Thanks…”

This question, in normal coder fashion, has one simple answer the belies the actual complexity of the individual complex answers, “it depends“. So that’s the first answer, but here are some of the other answers for me. As with many of these types of questions and answers, many individual characteristics come into play for each of us, so this is indeed anecdotal scenarios for myself and very specifically YMMV for yourself! Continue reading “How Long do You Code Per Coding Session?”