How do I batch and cache resolvers with gqlgen in Go?

Batching and caching resolvers in gqlgen can improve the performance and efficiency of your GraphQL server. By reducing the number of database calls and leveraging cache, your application can serve requests faster.

Example of Batching with gqlgen

// Define a DataLoader for batching the requests type UserLoader struct { loader *dataloader.Loader } func NewUserLoader() *UserLoader { return &UserLoader{ loader: dataloader.NewBatchedLoader(batchFetchUsers), } } // Helper function to fetch users in batches func batchFetchUsers(keys dataloader.Keys) dataloader.Values { // Your database call here ... } // Example resolver using the DataLoader func (r *queryResolver) Users(ctx context.Context) ([]*model.User, error) { userLoader := ctx.Value("userLoader").(*UserLoader) // Use DataLoader to get users return userLoader.loader.LoadMany(keys) }

Example of Caching with gqlgen

// Implementing a simple cache layer type Cache struct { store map[string]*model.User } func (c *Cache) Get(key string) (*model.User, bool) { user, found := c.store[key] return user, found } func (c *Cache) Set(key string, user *model.User) { c.store[key] = user } // Example resolver with caching func (r *queryResolver) User(ctx context.Context, id string) (*model.User, error) { cache := ctx.Value("cache").(*Cache) if user, found := cache.Get(id); found { return user, nil } // Fetch user from database if not found in cache user, err := r.fetchUserFromDB(id) if err != nil { return nil, err } cache.Set(id, user) return user, nil }

batching caching gqlgen Go GraphQL performance efficiency DataLoader database