[{"data":1,"prerenderedAt":12},["ShallowReactive",2],{"$fsN27AP_31smZQ_p6ogntn8ot-6MM0U7BFD1BtTpXqtw":3},{"id":4,"slug":5,"title":6,"description":7,"published_at":8,"created_at":8,"reading_time":9,"thumbnail":10,"content":11},2,"graphql-optimization","GraphQL Schema Optimization for E-commerce","Techniques for designing efficient GraphQL schemas that scale with your e-commerce platform.","2026-01-15",8,null,"\u003Ch2>The Problem\u003C/h2>\n\u003Cp>Most e-commerce platforms suffer from N+1 query issues in their GraphQL implementations. When fetching a list of products with related data (variants, reviews, pricing), a naive schema design can spiral into hundreds of database queries.\u003C/p>\n\u003Ch2>The Solution\u003C/h2>\n\u003Ch3>1. DataLoader Pattern\u003C/h3>\n\u003Cp>Use DataLoader to batch database queries:\u003C/p>\n\u003Cpre>\u003Ccode class=\"language-typescript\">const productLoader = new DataLoader(async (productIds) => {\n  const products = await db.products.find({ id: { $in: productIds } })\n  return productIds.map(id => products.find(p => p.id === id))\n})\u003C/code>\u003C/pre>\n\u003Ch3>2. Resolver Field Complexity\u003C/h3>\n\u003Cp>Assign complexity weights to expensive fields:\u003C/p>\n\u003Cpre>\u003Ccode class=\"language-typescript\">const schema = buildSchema(`\n  type Product {\n    id: ID!\n    name: String!\n    variants: [Variant!]! @complexity(value: 50)\n    reviews: [Review!]! @complexity(value: 100)\n  }\n`)\u003C/code>\u003C/pre>\n\u003Ch3>3. Pagination Strategy\u003C/h3>\n\u003Cp>Always paginate relational fields to prevent runaway queries:\u003C/p>\n\u003Cpre>\u003Ccode class=\"language-graphql\">query {\n  products(first: 10, after: \"cursor\") {\n    edges {\n      node { id name }\n    }\n    pageInfo { hasNextPage }\n  }\n}\u003C/code>\u003C/pre>\n\u003Ch2>Performance Impact\u003C/h2>\n\u003Cp>Implementing these patterns typically results in:\u003C/p>\n\u003Cul>\u003Cli>\u003Cstrong>70% reduction\u003C/strong> in database queries\u003C/li>\u003Cli>\u003Cstrong>40% faster\u003C/strong> average response times\u003C/li>\u003Cli>\u003Cstrong>90% less\u003C/strong> memory consumption on complex queries\u003C/li>\u003C/ul>\n\u003Cp>The investment pays off quickly.\u003C/p>",1790186116605]