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.
// 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)
}
// 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
}
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