GraphQL Assignment-3

Basic Questions

  1. Create a MySQL database graphql_db with table users(id, name, email).
  2. Connect GraphQL server to MySQL using mysql2 package.
  3. Write resolver getUsers to fetch all users from MySQL.
  4. Write resolver getUser(id:ID!) to fetch one user.
  5. Add mutation addUser(name:String!, email:String!): User with MySQL insert.
  6. Implement resolver updateUserEmail(id:ID!, email:String!): User.
  7. Write query builder with Knex.js to fetch all users.
  8. Use Knex.js to insert new user via mutation.
  9. Connect Sequelize ORM and define User model.
  10. Use Sequelize to fetch all users inside GraphQL resolver.
  11. Create posts(id, title, user_id) table in MySQL.
  12. Define GraphQL schema type Post { id, title, user: User }.
  13. Write resolver to fetch posts with their user (one-to-many).
  14. Add mutation addPost(userId:ID!,title:String!): Post.
  15. Implement resolver with Sequelize for addPost.
  16. Write GraphQL query to fetch all users with their posts.
  17. Write GraphQL query using alias to fetch user data twice with different names.
  18. Add filtering query: fetch posts where title contains a given keyword.
  19. Add pagination query for posts with arguments (limit:Int,offset:Int).
  20. Test MySQL query result inside GraphQL Playground.

 Intermediate Questions

  1. Create MySQL table tags(id,name) and relation posts_tags(post_id,tag_id).
  2. Define GraphQL schema for Tag with many-to-many relation to Post.
  3. Write resolver to fetch tags of a post.
  4. Write resolver to fetch posts under a tag.
  5. Implement mutation addTagToPost(postId:ID!, tagId:ID!): Post.
  6. Create MongoDB database graphql_mongo and collection users.
  7. Connect GraphQL server with MongoDB using mongoose.
  8. Define mongoose model UserSchema { name:String, email:String }.
  9. Write resolver getUsers to fetch all users from MongoDB.
  10. Write mutation addUser(name:String,email:String): User with mongoose.
  11. Create PostSchema { title:String, userId:ObjectId } in MongoDB.
  12. Implement nested query: fetch users with their posts.
  13. Add resolver addPost(title:String,userId:ID!): Post in MongoDB.
  14. Implement query with MongoDB filter: find posts with keyword in title.
  15. Write query with pagination in MongoDB (limit & skip).
  16. Create nested schema Comment { id, text, postId }.
  17. Fetch posts with nested comments from MongoDB.
  18. Implement mutation addComment(postId:ID!, text:String!): Comment.
  19. Combine MySQL + MongoDB: fetch users from MySQL and posts from MongoDB.
  20. Write a resolver that merges results from two databases.

 Advanced Questions

  1. Implement cursor-based pagination for posts in MySQL using GraphQL.
  2. Create resolver for filtering users with multiple conditions (age > 25 AND name contains “a”).
  3. Implement advanced search query using Sequelize scopes.
  4. Create GraphQL union type SearchResult = User | Post from MySQL.
  5. Write query search(keyword:String!): [SearchResult] with Knex.js.
  6. Add GraphQL directive @auth to restrict access to mutation addPost.
  7. Implement batch resolver using DataLoader
  8. for MySQL user-post relation.
  9. Use MongoDB aggregation pipeline in resolver to fetch post counts per user.
  10. Implement resolver that joins MongoDB users with MySQL posts.